{"id":1509732,"date":"2022-03-16T08:42:41","date_gmt":"2022-03-16T15:42:41","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1509732"},"modified":"2024-07-22T09:13:04","modified_gmt":"2024-07-22T16:13:04","slug":"worlds-greenest-megacities","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities","title":{"rendered":"The world’s most populated and greenest megacities (and how we found out)"},"author":8492,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22941],"tags":[67181,25871,764452,764432],"industry":[],"product":[36581,36551,36561],"class_list":["post-1509732","blog","type-blog","status-publish","format-standard","hentry","category-mapping","tag-cities","tag-land-cover","tag-trees","tag-world-cover","product-arcgis-living-atlas","product-arcgis-online","product-arcgis-pro"],"acf":{"short_description":"Use the two new land cover layers in Living Atlas to find out the amount of tree coverage in the world's mega cities.","flexible_content":[{"acf_fc_layout":"image","image":{"ID":1510242,"id":1510242,"title":"ESAParis","filename":"ESAParis.jpg","filesize":426806,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParis.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esaparis","alt":"Picture of autumn in Paris.","author":"8492","description":"","caption":"Beautiful autumn in Paris.","name":"esaparis","status":"inherit","uploaded_to":1509732,"date":"2022-03-14 15:54:49","modified":"2022-03-14 15:56:52","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1280,"height":960,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParis-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParis.jpg","medium-width":348,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParis.jpg","medium_large-width":768,"medium_large-height":576,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParis.jpg","large-width":1280,"large-height":960,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParis.jpg","1536x1536-width":1280,"1536x1536-height":960,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParis.jpg","2048x2048-width":1280,"2048x2048-height":960,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParis-620x465.jpg","card_image-width":620,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParis.jpg","wide_image-width":1280,"wide_image-height":960}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParis.jpg"},{"acf_fc_layout":"content","content":"

Is this part of Paris a built-up area? Or is it trees?\u00a0 Well, it depends on your point of view.<\/span>\u00a0<\/span><\/p>\n

Different points of view are the same for methods that produce land cover. One collection method may be trained to see pixels of a place as a built-up area, while another method may classify this same place as trees.\u00a0<\/span>\u00a0<\/span><\/p>\n

Two recent additions to ArcGIS Living Atlas of the World give you the option to look at the landscape both ways.\u00a0 Last week Esri in partnership with Microsoft and Impact Observatory released the <\/span>Sentinel-2 10-Meter Land Use\/Land Cover<\/span><\/a>.\u00a0 For the first time we have an incredible 10 meter resolution time series map of the Earth’s land surface from 2017-2021.\u00a0 It was processed using artificial intelligence (AI)<\/a> land classification models that were enhanced by billions of human-labeled image pixels.\u00a0 Its uniqueness and power as a time series means you can literally watch the landscape change as if you are watching a cell animation, and then you can use it for analysis.\u00a0 Such incredible GIS times these are!<\/span>\u00a0<\/span><\/p>\n

If that land cover layer weren\u2019t exciting enough, this week the <\/span>European Space Agency\u2019s (ESA) 10 meter WorldCover<\/span><\/a> was added to the Living Atlas collection.\u00a0 This layer is a baseline land cover map of the world from the WorldCover Consortium. The map classifies the world using remote sensing into 11 cover classes for 2020. By using remote sensing<\/a>, it sees the world\u2019s land cover more at face value than an input to be interpreted by artificial intelligence. The layer even includes a special class for mangroves. Mangrove watchers should take note since this is a special and significant dataset for this purpose.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1511392,"id":1511392,"title":"ESA_GlobalLandCoverLegend","filename":"ESA_GlobalLandCoverLegend-scaled.jpg","filesize":1859849,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_GlobalLandCoverLegend-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esa_globallandcoverlegend","alt":"Sample graphic showing different places around the globe and the legend of land cover classes.","author":"8492","description":"","caption":"","name":"esa_globallandcoverlegend","status":"inherit","uploaded_to":1509732,"date":"2022-03-15 03:15:56","modified":"2022-03-15 03:21:31","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2489,"height":2560,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_GlobalLandCoverLegend-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_GlobalLandCoverLegend-scaled.jpg","medium-width":254,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_GlobalLandCoverLegend-scaled.jpg","medium_large-width":768,"medium_large-height":790,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_GlobalLandCoverLegend-scaled.jpg","large-width":1050,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_GlobalLandCoverLegend-1493x1536.jpg","1536x1536-width":1493,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_GlobalLandCoverLegend-1991x2048.jpg","2048x2048-width":1991,"2048x2048-height":2048,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_GlobalLandCoverLegend-452x465.jpg","card_image-width":452,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_GlobalLandCoverLegend-1050x1080.jpg","wide_image-width":1050,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_GlobalLandCoverLegend-scaled.jpg"},{"acf_fc_layout":"content","content":"

Striking and interesting displays such as these are found all over the world.\u00a0 While designing the palette for this layer we wanted the the colors to be in complete sync with one another. We used green as our foundation hue – tree cover, shrubland, herbaceous wetland, mangroves, moss and lichen, and even the color for permanent water bodies falls right on the border between green and blue.\u00a0 Grasslands and bare or sparse vegetation got an intuitive tan\/yellow as did light gray for snow and ice.\u00a0 The human landscape, of course, got represented with more intense colors to evoke their artificial brightness.<\/span>\u00a0 There is also overall harmony with the Sentinel-2 10-Meter Land Use Land Cover Time Series as it uses similar colors as well.<\/span><\/p>\n

Now, let’s get back to our original question about trees in built-up areas and focus on the city of Paris as an example. What can these two different land cover layers reveal about this city due to their different point of views? You see on the left, the Sentinel-2 10-Meter Land Use Land Cover Time Series layer has interpreted Paris’ street trees and parks as part of Paris’ urban area while on the right the remotely sensed European Space Agency WorldCover 2020 Land Cover layer identifies urban trees and parks without interpreting them any further.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1509812,"id":1509812,"title":"ESAParisLandCoverComparison","filename":"ESAParisLandCoverComparison-scaled.jpg","filesize":393723,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParisLandCoverComparison-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esaparislandcovercomparison","alt":"Comparison graphic showing the two different land cover layers.","author":"8492","description":"","caption":"","name":"esaparislandcovercomparison","status":"inherit","uploaded_to":1509732,"date":"2022-03-12 22:01:55","modified":"2022-03-15 03:01:25","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1660,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParisLandCoverComparison-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParisLandCoverComparison-scaled.jpg","medium-width":403,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParisLandCoverComparison-scaled.jpg","medium_large-width":768,"medium_large-height":498,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParisLandCoverComparison-scaled.jpg","large-width":1666,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParisLandCoverComparison-1536x996.jpg","1536x1536-width":1536,"1536x1536-height":996,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParisLandCoverComparison-2048x1328.jpg","2048x2048-width":2048,"2048x2048-height":1328,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParisLandCoverComparison-717x465.jpg","card_image-width":717,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParisLandCoverComparison-1666x1080.jpg","wide_image-width":1666,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAParisLandCoverComparison-scaled.jpg"},{"acf_fc_layout":"content","content":"

When we compared the two for ourselves the question arose: Can these differences be used to estimate tree cover in cities?\u00a0 We could use the one on the left, the Sentinel-2 10-Meter Land Use Land Cover Time Series, to define the city limits; then we could use the one on the right, the new European Space Agency <\/span>WorldCover<\/span> 2020 Land Cover to analyze tree cover within those limits. Will it work?<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1510062,"id":1510062,"title":"ESAChampsElysees","filename":"ESAChampsElysees-scaled.jpg","filesize":862946,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAChampsElysees-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esachampselysees","alt":"View of Paris at 1:17,000 scale.","author":"8492","description":"","caption":"Individual trees can be seen along the Champs-\u00c9lys\u00e9es in Paris at 1:17,000 using the European Space Agency WorldCover 2020 land cover layer.","name":"esachampselysees","status":"inherit","uploaded_to":1509732,"date":"2022-03-13 01:12:34","modified":"2022-03-15 03:00:58","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1671,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAChampsElysees-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAChampsElysees-scaled.jpg","medium-width":400,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAChampsElysees-scaled.jpg","medium_large-width":768,"medium_large-height":501,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAChampsElysees-scaled.jpg","large-width":1655,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAChampsElysees-1536x1003.jpg","1536x1536-width":1536,"1536x1536-height":1003,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAChampsElysees-2048x1337.jpg","2048x2048-width":2048,"2048x2048-height":1337,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAChampsElysees-712x465.jpg","card_image-width":712,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAChampsElysees-1654x1080.jpg","wide_image-width":1654,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAChampsElysees-scaled.jpg"},{"acf_fc_layout":"content","content":"

Since these are both global land cover datasets, we decided to be ambitious and analyze the 25 biggest megacities around the world and compare them to each other. Which of the world’s megacities had the most tree cover? The answer may surprise you.<\/span>\u00a0<\/span><\/p>\n

But first a bit about our method.\u00a0 We didn’t want to compare cities by their municipality or city limit. These are largely artificial boundaries that are not consistent country to country or even within US States. Americans are familiar with the concept of metropolitan areas which are largely counties grouped together by the US Census Bureau. What we were after was a concept similar to a metropolitan area, in order to define a kind of conurbation which is some type of urban area that is contiguous and functionally connected.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1509832,"id":1509832,"title":"ESA_Conurbation","filename":"ESA_Conurbation-scaled-e1647371139661.jpg","filesize":103838,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_Conurbation-scaled-e1647371139661.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esa_conurbation","alt":"Defination of conurbation.","author":"8492","description":"","caption":"","name":"esa_conurbation","status":"inherit","uploaded_to":1509732,"date":"2022-03-12 22:14:11","modified":"2022-03-15 02:58:58","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1800,"height":694,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_Conurbation-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_Conurbation-scaled-e1647371139661.jpg","medium-width":464,"medium-height":179,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_Conurbation-scaled-e1647371139661.jpg","medium_large-width":768,"medium_large-height":296,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_Conurbation-scaled-e1647371139661.jpg","large-width":1800,"large-height":694,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_Conurbation-1536x592.jpg","1536x1536-width":1536,"1536x1536-height":592,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_Conurbation-2048x790.jpg","2048x2048-width":2048,"2048x2048-height":790,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_Conurbation-826x319.jpg","card_image-width":826,"card_image-height":319,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_Conurbation-1920x740.jpg","wide_image-width":1920,"wide_image-height":740}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_Conurbation-scaled.jpg"},{"acf_fc_layout":"content","content":"

After a few trials, we decided the best fit was to use the <\/span><\/span>Global Human Settlement – Urban <\/span>Centres<\/span> Database<\/span><\/span><\/a> layer to define the name of each conurbation. Then we would use that layer city by city to select just the built-up land cover class polygons derived from the Sentinel-2 10-Meter Land Use Land Cover Time Series that intersected this layer. <\/span>We totaled the population of each conurbation using <\/span>the <\/span>most recent year in the <\/span><\/span>WorldPop<\/span> layer in the Living Atlas of the World<\/span><\/span><\/a>. <\/span>We then used Extract by Mask<\/a> with these urban area polygons to cut out a piece of<\/span> the<\/span> ESA<\/span> WorldCover<\/span> 2020 Land Cover to size. The cut pieces for each conurbation contain a table with the area of each land cover class which we could use for comparison. We broke the workflow down into this graphic.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1509842,"id":1509842,"title":"ESA_WorkflowGraphic","filename":"ESA_WorkflowGraphic-scaled.jpg","filesize":696006,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_WorkflowGraphic-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esa_workflowgraphic","alt":"Graphic showing the workflow.","author":"8492","description":"","caption":"","name":"esa_workflowgraphic","status":"inherit","uploaded_to":1509732,"date":"2022-03-12 22:15:24","modified":"2022-03-15 02:58:14","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1978,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_WorkflowGraphic-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_WorkflowGraphic-scaled.jpg","medium-width":338,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_WorkflowGraphic-scaled.jpg","medium_large-width":768,"medium_large-height":593,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_WorkflowGraphic-scaled.jpg","large-width":1398,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_WorkflowGraphic-1536x1187.jpg","1536x1536-width":1536,"1536x1536-height":1187,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_WorkflowGraphic-2048x1583.jpg","2048x2048-width":2048,"2048x2048-height":1583,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_WorkflowGraphic-602x465.jpg","card_image-width":602,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_WorkflowGraphic-1398x1080.jpg","wide_image-width":1398,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA_WorkflowGraphic-scaled.jpg"},{"acf_fc_layout":"content","content":"

The following is a summary of what we found out about the tree cover in the 25 most populous megacities.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1509862,"id":1509862,"title":"ESABuiltUPTreeCoverResults","filename":"ESABuiltUPTreeCoverResults-scaled.jpg","filesize":477776,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESABuiltUPTreeCoverResults-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esabuiltuptreecoverresults","alt":"Results from the analysis in a chart.","author":"8492","description":"","caption":"","name":"esabuiltuptreecoverresults","status":"inherit","uploaded_to":1509732,"date":"2022-03-12 22:44:22","modified":"2022-03-15 02:57:54","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2295,"height":2560,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESABuiltUPTreeCoverResults-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESABuiltUPTreeCoverResults-scaled.jpg","medium-width":234,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESABuiltUPTreeCoverResults-scaled.jpg","medium_large-width":768,"medium_large-height":857,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESABuiltUPTreeCoverResults-scaled.jpg","large-width":968,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESABuiltUPTreeCoverResults-1377x1536.jpg","1536x1536-width":1377,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESABuiltUPTreeCoverResults-1836x2048.jpg","2048x2048-width":1836,"2048x2048-height":2048,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESABuiltUPTreeCoverResults-417x465.jpg","card_image-width":417,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESABuiltUPTreeCoverResults-968x1080.jpg","wide_image-width":968,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESABuiltUPTreeCoverResults-scaled.jpg"},{"acf_fc_layout":"content","content":"

Naturally as geographers we had to map this out.\u00a0 We chose the top five with the most population and the top five with the most trees.\u00a0 Their spatial distributions fascinated us, and the results were quite surprising.\u00a0\u00a0 We wanted to know more about these places and searched out photographs to partner with our maps.\u00a0 They help tie us to a place, so for just a moment we can be there too.<\/span>\u00a0<\/span><\/p>\n

These were the top five conurbations with the most population:<\/span>\u00a0<\/span><\/p>\n

#1 Population<\/h3>\n"},{"acf_fc_layout":"image","image":{"ID":1511462,"id":1511462,"title":"ESAGuangzhou","filename":"ESAGuangzhou-1-scaled.jpg","filesize":1138693,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esaguangzhou-2","alt":"Map showing the city with results of population, built-up, and tree cover.","author":"8492","description":"","caption":"","name":"esaguangzhou-2","status":"inherit","uploaded_to":1509732,"date":"2022-03-15 04:05:13","modified":"2022-03-15 17:58:16","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1745,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1-scaled.jpg","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1-scaled.jpg","medium_large-width":768,"medium_large-height":524,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1-scaled.jpg","large-width":1584,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1-1536x1047.jpg","1536x1536-width":1536,"1536x1536-height":1047,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1-2048x1396.jpg","2048x2048-width":2048,"2048x2048-height":1396,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1-682x465.jpg","card_image-width":682,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1-1584x1080.jpg","wide_image-width":1584,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1-scaled.jpg"},{"acf_fc_layout":"image","image":{"ID":1509982,"id":1509982,"title":"ESAGuangzhou","filename":"ESAGuangzhou-scaled.jpg","filesize":457508,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esaguangzhou","alt":"An evening walk in Guangzhou.","author":"8492","description":"","caption":"An evening walk in Guangzhou.","name":"esaguangzhou","status":"inherit","uploaded_to":1509732,"date":"2022-03-13 00:41:30","modified":"2022-03-15 02:57:38","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1440,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-scaled.jpg","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-scaled.jpg","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-scaled.jpg","large-width":1920,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1536x864.jpg","1536x1536-width":1536,"1536x1536-height":864,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-2048x1152.jpg","2048x2048-width":2048,"2048x2048-height":1152,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-826x465.jpg","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-1920x1080.jpg","wide_image-width":1920,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAGuangzhou-scaled.jpg"},{"acf_fc_layout":"content","content":"

Guangzhou<\/span>, Shenzhen, and the New Territories of Hong Kong in China are three separate places. However, the <\/span>S<\/span>entinel-2 10m Land Use\/Land Cover Time<\/span>s<\/span>eries sees this area as one uninterrupted urban area from Guangzhou to Hong Kong\u2019s New Territories. If it were one big city instead of three it would be the largest in the world with over 55 million people by our count, using <\/span><\/span>WorldPop<\/span><\/span><\/a>. Disconnected parts of Hong Kong including the Islands have a lot <\/span>more people, also more <\/span>very wild and green space<\/span>s. B<\/span>ut within <\/span>the<\/span> large contiguous urban area <\/span>we found the<\/span> tree cover <\/span>to be<\/span> about 16%.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

#2 Population<\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":1509992,"id":1509992,"title":"ESATokyo","filename":"ESATokyo.jpg","filesize":460242,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esatokyo","alt":"Street crossing in Shibuya, Tokyo.","author":"8492","description":"","caption":"Shibuya Crossing in Tokyo.","name":"esatokyo","status":"inherit","uploaded_to":1509732,"date":"2022-03-13 00:42:21","modified":"2022-03-15 02:56:09","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1079,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo.jpg","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo.jpg","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo.jpg","large-width":1920,"large-height":1079,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo-1536x863.jpg","1536x1536-width":1536,"1536x1536-height":863,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo.jpg","2048x2048-width":1920,"2048x2048-height":1079,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo-826x465.jpg","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo.jpg","wide_image-width":1920,"wide_image-height":1079}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo.jpg"},{"acf_fc_layout":"image","image":{"ID":1513212,"id":1513212,"title":"ESATokyo_","filename":"ESATokyo_-scaled.jpg","filesize":1297133,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo_-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esatokyo_","alt":"Map showing the city with results of population, built-up, and tree cover.","author":"8492","description":"","caption":"","name":"esatokyo_","status":"inherit","uploaded_to":1509732,"date":"2022-03-16 03:16:48","modified":"2022-03-16 03:17:44","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1745,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo_-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo_-scaled.jpg","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo_-scaled.jpg","medium_large-width":768,"medium_large-height":524,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo_-scaled.jpg","large-width":1584,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo_-1536x1047.jpg","1536x1536-width":1536,"1536x1536-height":1047,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo_-2048x1396.jpg","2048x2048-width":2048,"2048x2048-height":1396,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo_-682x465.jpg","card_image-width":682,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo_-1584x1080.jpg","wide_image-width":1584,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESATokyo_-scaled.jpg"},{"acf_fc_layout":"content","content":"

Tokyo, situated on Kanto Plain, is surrounded by steep, forested slopes. It is one of the world’s largest built environments and has a few large green spaces and parks, as well as dense trees at shrines and the Imperial Palace. Ueno Park is <\/span>Japan\u2019s most popular city park<\/span>. Y<\/span>oyogi<\/span> Park in Shibuya has become an area of subculture gathering and exchange<\/span>.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

#3 Population<\/span><\/span><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":1511512,"id":1511512,"title":"ESAShanghai","filename":"ESAShanghai-1-scaled.jpg","filesize":1442673,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esashanghai-2","alt":"Map showing the city with results of population, built-up, and tree cover.","author":"8492","description":"","caption":"","name":"esashanghai-2","status":"inherit","uploaded_to":1509732,"date":"2022-03-15 04:37:51","modified":"2022-03-15 17:58:05","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1745,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1-scaled.jpg","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1-scaled.jpg","medium_large-width":768,"medium_large-height":524,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1-scaled.jpg","large-width":1584,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1-1536x1047.jpg","1536x1536-width":1536,"1536x1536-height":1047,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1-2048x1396.jpg","2048x2048-width":2048,"2048x2048-height":1396,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1-682x465.jpg","card_image-width":682,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1-1584x1080.jpg","wide_image-width":1584,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1-scaled.jpg"},{"acf_fc_layout":"image","image":{"ID":1510002,"id":1510002,"title":"ESAShanghai","filename":"ESAShanghai.jpg","filesize":435679,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esashanghai","alt":"People walking and shopping in Shanghai.","author":"8492","description":"","caption":"Renmin Road, Shanghai","name":"esashanghai","status":"inherit","uploaded_to":1509732,"date":"2022-03-13 00:43:19","modified":"2022-03-15 02:55:21","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1418,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai.jpg","medium-width":353,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai.jpg","medium_large-width":768,"medium_large-height":567,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai.jpg","large-width":1462,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1536x1134.jpg","1536x1536-width":1536,"1536x1536-height":1134,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai.jpg","2048x2048-width":1920,"2048x2048-height":1418,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-630x465.jpg","card_image-width":630,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai-1462x1080.jpg","wide_image-width":1462,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAShanghai.jpg"},{"acf_fc_layout":"content","content":"

Shanghai in China is the world\u2019s <\/span>busiest<\/span> container port<\/span>, located <\/span>where<\/span> the Yangtze River meets the sea. <\/span>The Sentinel-2 10m Land Use\/Land Cover Timeseries sees <\/span>Shanghai and environs<\/span> as one uninterrupted <\/span>conurbation<\/span> from Shanghai to Suzhou.<\/span>\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

#4 Population<\/span><\/span><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":1511482,"id":1511482,"title":"ESAJakarta","filename":"ESAJakarta-1-scaled.jpg","filesize":931731,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esajakarta-2","alt":"Map showing the city with results of population, built-up, and tree cover.","author":"8492","description":"","caption":"","name":"esajakarta-2","status":"inherit","uploaded_to":1509732,"date":"2022-03-15 04:14:29","modified":"2022-03-15 17:58:00","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1745,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1-scaled.jpg","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1-scaled.jpg","medium_large-width":768,"medium_large-height":524,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1-scaled.jpg","large-width":1584,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1-1536x1047.jpg","1536x1536-width":1536,"1536x1536-height":1047,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1-2048x1396.jpg","2048x2048-width":2048,"2048x2048-height":1396,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1-682x465.jpg","card_image-width":682,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1-1584x1080.jpg","wide_image-width":1584,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1-scaled.jpg"},{"acf_fc_layout":"image","image":{"ID":1510012,"id":1510012,"title":"ESAJakarta","filename":"ESAJakarta.jpg","filesize":744770,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esajakarta","alt":"Traffic in Jakarta.","author":"8492","description":"","caption":"Active and busy Jakarta roads.","name":"esajakarta","status":"inherit","uploaded_to":1509732,"date":"2022-03-13 00:43:53","modified":"2022-03-15 19:18:18","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2508,"height":1672,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta.jpg","medium-width":392,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta.jpg","large-width":1620,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1536x1024.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-2048x1365.jpg","2048x2048-width":2048,"2048x2048-height":1365,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-698x465.jpg","card_image-width":698,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta-1620x1080.jpg","wide_image-width":1620,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAJakarta.jpg"},{"acf_fc_layout":"content","content":"

Jakarta<\/span> is<\/span> an immense <\/span>urban area that<\/span> is still growing.<\/span> Jakarta\u2019s<\/span> port handles most of the country\u2019s shipping <\/span>traffic. It\u2019s the seat of<\/span> most of<\/span> the country\u2019s <\/span>Forbes 2000 global businesses,<\/span> and it\u2019s also the <\/span>seat of government<\/span>. With <\/span>seemingly everything<\/span> in one big city,<\/span> Indonesia has decided to move its capital to <\/span>Nusantara, <\/span>East <\/span>Kalimantan to try to lighten the load<\/span>.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

#5 Population<\/span><\/span><\/h3>\n"},{"acf_fc_layout":"image","image":{"ID":1511412,"id":1511412,"title":"ESADelhi","filename":"ESADelhi-1-scaled.jpg","filesize":1352675,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esadelhi-2","alt":"Map showing the city with results of population, built-up, and tree cover.","author":"8492","description":"","caption":"","name":"esadelhi-2","status":"inherit","uploaded_to":1509732,"date":"2022-03-15 03:25:36","modified":"2022-03-15 17:57:54","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1745,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1-scaled.jpg","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1-scaled.jpg","medium_large-width":768,"medium_large-height":524,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1-scaled.jpg","large-width":1584,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1-1536x1047.jpg","1536x1536-width":1536,"1536x1536-height":1047,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1-2048x1396.jpg","2048x2048-width":2048,"2048x2048-height":1396,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1-682x465.jpg","card_image-width":682,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1-1584x1080.jpg","wide_image-width":1584,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1-scaled.jpg"},{"acf_fc_layout":"image","image":{"ID":1510022,"id":1510022,"title":"ESADelhi","filename":"ESADelhi.jpg","filesize":217915,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esadelhi","alt":"Evening walk in Delhi.","author":"8492","description":"","caption":"Evening walk in Delhi.","name":"esadelhi","status":"inherit","uploaded_to":1509732,"date":"2022-03-13 00:44:24","modified":"2022-03-15 02:52:08","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2508,"height":1672,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi.jpg","medium-width":392,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi.jpg","large-width":1620,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1536x1024.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-2048x1365.jpg","2048x2048-width":2048,"2048x2048-height":1365,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-698x465.jpg","card_image-width":698,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi-1620x1080.jpg","wide_image-width":1620,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADelhi.jpg"},{"acf_fc_layout":"content","content":"

Delhi in India’s north <\/span>has<\/span> a subtropical<\/span>, <\/span>almost semi-arid climate. There are some large open spaces in the city center, especially around the capital in New Delhi. <\/span>The old part of the city is denser and <\/span>less <\/span>tree-covered. <\/span>There are some notable areas with a lot of tree canopy, especially in the vicinity of IIT Delhi and Jawaharlal Nehru University.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

Now let’s take a closer look at the five megacities with the most tree cover.<\/p>\n

#1 Tree Cover<\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":1512072,"id":1512072,"title":"ESA__NewYork","filename":"ESA__NewYork-scaled.jpg","filesize":937558,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__NewYork-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esa__newyork","alt":"Map showing the city with results of population, built-up, and tree cover.","author":"8492","description":"","caption":"","name":"esa__newyork","status":"inherit","uploaded_to":1509732,"date":"2022-03-15 17:56:35","modified":"2022-03-15 17:57:48","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1745,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__NewYork-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__NewYork-scaled.jpg","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__NewYork-scaled.jpg","medium_large-width":768,"medium_large-height":524,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__NewYork-scaled.jpg","large-width":1584,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__NewYork-1536x1047.jpg","1536x1536-width":1536,"1536x1536-height":1047,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__NewYork-2048x1396.jpg","2048x2048-width":2048,"2048x2048-height":1396,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__NewYork-682x465.jpg","card_image-width":682,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__NewYork-1584x1080.jpg","wide_image-width":1584,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__NewYork-scaled.jpg"},{"acf_fc_layout":"image","image":{"ID":1511312,"id":1511312,"title":"ESANewYorkCity","filename":"ESANewYorkCity.jpg","filesize":423288,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESANewYorkCity.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esanewyorkcity","alt":"Central Park scene with people relaxing.","author":"8492","description":"","caption":"Central Park, New York","name":"esanewyorkcity","status":"inherit","uploaded_to":1509732,"date":"2022-03-15 02:40:41","modified":"2022-03-15 02:43:10","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1271,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESANewYorkCity-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESANewYorkCity.jpg","medium-width":394,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESANewYorkCity.jpg","medium_large-width":768,"medium_large-height":508,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESANewYorkCity.jpg","large-width":1631,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESANewYorkCity-1536x1017.jpg","1536x1536-width":1536,"1536x1536-height":1017,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESANewYorkCity.jpg","2048x2048-width":1920,"2048x2048-height":1271,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESANewYorkCity-702x465.jpg","card_image-width":702,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESANewYorkCity-1631x1080.jpg","wide_image-width":1631,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESANewYork.jpg"},{"acf_fc_layout":"content","content":"

In the United States, New York City is not a place you think would contain a lot of trees, but in our comparison of the world’s megacities, the New York Metropolitan Area reveals a lot of area of tree coverage. The high number of trees accompanies the single-family detached suburban pattern which rings American cities, combined with its humid temperate climate. Dense tree coverage is especially present in suburban New Jersey, Connecticut, Long Island, and Westchester County, New York.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

#2 Tree Cover<\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":1511502,"id":1511502,"title":"ESAKolkata","filename":"ESAKolkata-1-scaled.jpg","filesize":1688018,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-1-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esakolkata-2","alt":"Map showing the city with results of population, built-up, and tree cover.","author":"8492","description":"","caption":"","name":"esakolkata-2","status":"inherit","uploaded_to":1509732,"date":"2022-03-15 04:34:41","modified":"2022-03-15 17:48:26","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1745,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-1-scaled.jpg","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-1-scaled.jpg","medium_large-width":768,"medium_large-height":524,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-1-scaled.jpg","large-width":1584,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-1-1536x1047.jpg","1536x1536-width":1536,"1536x1536-height":1047,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-1-2048x1396.jpg","2048x2048-width":2048,"2048x2048-height":1396,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-1-682x465.jpg","card_image-width":682,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-1-1584x1080.jpg","wide_image-width":1584,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-1-scaled.jpg"},{"acf_fc_layout":"image","image":{"ID":1509902,"id":1509902,"title":"ESAKolkata","filename":"ESAKolkata.jpg","filesize":79505,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esakolkata","alt":"Maidan Park in Kolkata.","author":"8492","description":"","caption":"Maidan in Kolkata ","name":"esakolkata","status":"inherit","uploaded_to":1509732,"date":"2022-03-13 00:33:11","modified":"2022-03-15 02:34:47","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1081,"height":720,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata.jpg","medium-width":392,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata.jpg","large-width":1081,"large-height":720,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata.jpg","1536x1536-width":1081,"1536x1536-height":720,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata.jpg","2048x2048-width":1081,"2048x2048-height":720,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata-698x465.jpg","card_image-width":698,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata.jpg","wide_image-width":1081,"wide_image-height":720}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAKolkata.jpg"},{"acf_fc_layout":"content","content":"

Kolkata in India has a lot of large open spaces. Its climate is hot and humid tropical wet and dry, which facilitates the growth of trees and forest. The Maidan, known as the <\/span>\u201c<\/span>Lungs of Calcutta<\/span>\u201d<\/span>, is the largest urban park in Asia. The edge of the city is <\/span>also <\/span>heavily forested.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

#3 Tree Cover<\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":1511932,"id":1511932,"title":"ESA__Dhaka","filename":"ESA__Dhaka-scaled.jpg","filesize":1826558,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__Dhaka-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esa__dhaka","alt":"Map showing the city with results of population, built-up, and tree cover.","author":"8492","description":"","caption":"","name":"esa__dhaka","status":"inherit","uploaded_to":1509732,"date":"2022-03-15 17:03:01","modified":"2022-03-15 17:48:20","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1746,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__Dhaka-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__Dhaka-scaled.jpg","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__Dhaka-scaled.jpg","medium_large-width":768,"medium_large-height":524,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__Dhaka-scaled.jpg","large-width":1584,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__Dhaka-1536x1047.jpg","1536x1536-width":1536,"1536x1536-height":1047,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__Dhaka-2048x1397.jpg","2048x2048-width":2048,"2048x2048-height":1397,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__Dhaka-682x465.jpg","card_image-width":682,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__Dhaka-1584x1080.jpg","wide_image-width":1584,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESA__Dhaka-scaled.jpg"},{"acf_fc_layout":"image","image":{"ID":1509912,"id":1509912,"title":"ESADhaka","filename":"ESADhaka.jpg","filesize":729774,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADhaka.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esadhaka","alt":"Scene showing a Dhaka Park.","author":"8492","description":"","caption":"Lal Bagkellah, Dhaka","name":"esadhaka","status":"inherit","uploaded_to":1509732,"date":"2022-03-13 00:34:18","modified":"2022-03-15 02:34:09","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2364,"height":1773,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADhaka-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADhaka.jpg","medium-width":348,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADhaka.jpg","medium_large-width":768,"medium_large-height":576,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADhaka.jpg","large-width":1440,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADhaka-1536x1152.jpg","1536x1536-width":1536,"1536x1536-height":1152,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADhaka-2048x1536.jpg","2048x2048-width":2048,"2048x2048-height":1536,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADhaka-620x465.jpg","card_image-width":620,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADhaka-1440x1080.jpg","wide_image-width":1440,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESADhaka.jpg"},{"acf_fc_layout":"content","content":"

A very densely populated city in Bangladesh, Dhaka receives ample rainfall, over 2<\/span>,<\/span>000<\/span> mm during the year. The city has many lakes, as well as notable parks and green spaces, such as beautiful <\/span>Ramna<\/span> Park. The edges of Dhaka metropolitan area<\/span> that are not under cultivation<\/span> are densely forested.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

#4 Tree Cover<\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":1509922,"id":1509922,"title":"ESAHochiminh","filename":"ESAHochiminh.jpg","filesize":950396,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHochiminh.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esahochiminh","alt":"Typical street scene of green in downtown Ho Chi Minh City.","author":"8492","description":"","caption":"Typical street scene of green in downtown Ho Chi Minh City.","name":"esahochiminh","status":"inherit","uploaded_to":1509732,"date":"2022-03-13 00:35:24","modified":"2022-03-15 02:33:43","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2485,"height":1687,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHochiminh-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHochiminh.jpg","medium-width":384,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHochiminh.jpg","medium_large-width":768,"medium_large-height":521,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHochiminh.jpg","large-width":1591,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHochiminh-1536x1043.jpg","1536x1536-width":1536,"1536x1536-height":1043,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHochiminh-2048x1390.jpg","2048x2048-width":2048,"2048x2048-height":1390,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHochiminh-685x465.jpg","card_image-width":685,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHochiminh-1591x1080.jpg","wide_image-width":1591,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHochiminh.jpg"},{"acf_fc_layout":"image","image":{"ID":1511492,"id":1511492,"title":"ESAHoChiMinh","filename":"ESAHoChiMinh-1-scaled.jpg","filesize":1536137,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHoChiMinh-1-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esahochiminh-2","alt":"Map showing the city with results of population, built-up, and tree cover.","author":"8492","description":"","caption":"","name":"esahochiminh-2","status":"inherit","uploaded_to":1509732,"date":"2022-03-15 04:24:22","modified":"2022-03-15 17:48:07","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1745,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHoChiMinh-1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHoChiMinh-1-scaled.jpg","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHoChiMinh-1-scaled.jpg","medium_large-width":768,"medium_large-height":524,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHoChiMinh-1-scaled.jpg","large-width":1584,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHoChiMinh-1-1536x1047.jpg","1536x1536-width":1536,"1536x1536-height":1047,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHoChiMinh-1-2048x1396.jpg","2048x2048-width":2048,"2048x2048-height":1396,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHoChiMinh-1-682x465.jpg","card_image-width":682,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHoChiMinh-1-1584x1080.jpg","wide_image-width":1584,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAHoChiMinh-1-scaled.jpg"},{"acf_fc_layout":"content","content":"

Ho Chi Minh City, Vietnam is a city whose streets are lined with very large dipterocarp trees.\u00a0 It\u2019s a lovely place to walk, shop, look at local art, or enjoy delicious cuisine at one of the many <\/span>street side<\/span> restaurants and caf\u00e9s while surrounded by lush tropical greenery. The city endeavors to plant many more, implementing a plan to plant 10 million more trees by 2025.\u00a0\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

#5 Tree Cover<\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":1511712,"id":1511712,"title":"ESAMoscow","filename":"ESAMoscow-1-scaled.jpg","filesize":1446716,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esamoscow-2","alt":"Map showing the city with results of population, built-up, and tree cover.","author":"8492","description":"","caption":"","name":"esamoscow-2","status":"inherit","uploaded_to":1509732,"date":"2022-03-15 15:55:13","modified":"2022-03-15 17:48:02","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1745,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1-scaled.jpg","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1-scaled.jpg","medium_large-width":768,"medium_large-height":524,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1-scaled.jpg","large-width":1584,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1-1536x1047.jpg","1536x1536-width":1536,"1536x1536-height":1047,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1-2048x1396.jpg","2048x2048-width":2048,"2048x2048-height":1396,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1-682x465.jpg","card_image-width":682,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1-1584x1080.jpg","wide_image-width":1584,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1-scaled.jpg"},{"acf_fc_layout":"image","image":{"ID":1509932,"id":1509932,"title":"ESAMoscow","filename":"ESAMoscow.jpg","filesize":720612,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/worlds-greenest-megacities\/esamoscow","alt":"Picture of a park and Moscow River.","author":"8492","description":"","caption":"Moscow River","name":"esamoscow","status":"inherit","uploaded_to":1509732,"date":"2022-03-13 00:36:28","modified":"2022-03-15 19:16:35","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2500,"height":1673,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow.jpg","medium-width":390,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow.jpg","medium_large-width":768,"medium_large-height":514,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow.jpg","large-width":1614,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1536x1028.jpg","1536x1536-width":1536,"1536x1536-height":1028,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-2048x1371.jpg","2048x2048-width":2048,"2048x2048-height":1371,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-695x465.jpg","card_image-width":695,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow-1614x1080.jpg","wide_image-width":1614,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/ESAMoscow.jpg"},{"acf_fc_layout":"content","content":"

Moscow in Russia shares a humid climate with Europe to its west, giving it a lot of natural tree cover.<\/span><\/span><\/p>\n

For more information…<\/h2>\n

To try your own analyses, <\/span>or to find out more, <\/span>be sure to <\/span>check out the <\/span><\/span>European Space Agency <\/span>WorldCover<\/span> 2020 Land Cover <\/span>layer<\/span><\/span><\/a> in ArcGIS Online<\/span>. <\/span>For more about the <\/span>WorldCover<\/span> 2020<\/span> dataset, be<\/span> sure to <\/span>review<\/span> the <\/span><\/span>WorldCover<\/span> page from<\/span> the European Space Agency<\/span><\/span><\/a>.<\/span><\/span>\u00a0<\/span><\/p>\n

Please feel free to reach out to us with comments or questions.\u00a0 Thank you!<\/p>\n"}],"authors":[{"ID":4941,"user_firstname":"Michael","user_lastname":"Dangermond","nickname":"Michael Dangermond","user_nicename":"mdangermond","display_name":"Michael Dangermond","user_email":"MDangermond@esri.com","user_url":"","user_registered":"2018-03-02 00:16:36","user_description":"Michael Dangermond has over 25 years experience in GIS in such diverse fields as cartography, agriculture, international boundary delineation, environmental protection, regional planning, park planning, land and wildlife conservation, and forestry. He has been working for ESRI since 2010.","user_avatar":""},{"ID":8492,"user_firstname":"Emily","user_lastname":"Meriam","nickname":"Emily Meriam","user_nicename":"emeriam","display_name":"Emily Meriam","user_email":"EMeriam@esri.com","user_url":"https:\/\/www.instagram.com\/emilymeriam\/","user_registered":"2018-10-26 16:33:49","user_description":"Emily Meriam has a diverse GIS background that spans more than two decades. Her portfolio includes mapping elephants in Thailand, wildlife poachers in the Republic of Palau, land-use issues around Yosemite National Park, and active wildfire incidents for the State of California. Since 2018, Emily has been with Esri's ArcGIS Living Atlas of the World. In this role she serves as lead Cartographer and Senior GIS Engineer for the Environment Team where she styles and designs layers, maps, and applications for the global GIS community. Outside of her professional endeavors, Emily is a passionate geographer who enjoys exploring the world with her family.","user_avatar":""}],"related_articles":[{"ID":1227392,"post_author":"7841","post_date":"2021-05-11 11:10:17","post_date_gmt":"2021-05-11 18:10:17","post_content":"","post_title":"Visualizing Patterns of Land Cover Change in Indonesia","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"visualize-land-cover-change-indonesia","to_ping":"","pinged":"","post_modified":"2021-05-11 11:13:46","post_modified_gmt":"2021-05-11 18:13:46","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1227392","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":939091,"post_author":"7841","post_date":"2020-07-15 06:43:57","post_date_gmt":"2020-07-15 13:43:57","post_content":"","post_title":"Look into the Future: Global Land Cover for the Year 2050","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"land-cover-2050","to_ping":"","pinged":"","post_modified":"2021-07-22 12:14:41","post_modified_gmt":"2021-07-22 19:14:41","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=939091","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1476642,"post_author":"4141","post_date":"2022-02-07 16:49:06","post_date_gmt":"2022-02-08 00:49:06","post_content":"","post_title":"World Population Estimate Maps are changing...","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"world-population-estimate-maps-are-changing","to_ping":"","pinged":"","post_modified":"2022-02-16 14:53:45","post_modified_gmt":"2022-02-16 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