{"id":2828552,"date":"2025-06-27T12:33:14","date_gmt":"2025-06-27T19:33:14","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2828552"},"modified":"2025-06-27T12:44:22","modified_gmt":"2025-06-27T19:44:22","slug":"mapping-mangrove-dynamics-with-raster-functions-in-map-viewer","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/mapping-mangrove-dynamics-with-raster-functions-in-map-viewer","title":{"rendered":"Mapping mangrove dynamics with raster functions in Map Viewer"},"author":364372,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22931],"tags":[780072,268131,780142,537362,339872],"industry":[],"product":[36571,36581,36551,36561],"class_list":["post-2828552","blog","type-blog","status-publish","format-standard","hentry","category-imagery","tag-lawrasteranalysis","tag-living-atlas","tag-mangrove","tag-raster-function","tag-rft","product-arcgis-enterprise","product-arcgis-living-atlas","product-arcgis-online","product-arcgis-pro"],"acf":{"authors":[{"ID":364372,"user_firstname":"Sucheta","user_lastname":"Bhattacharjee","nickname":"Sucheta Bhattacharjee","user_nicename":"sbhattacharjee","display_name":"Sucheta Bhattacharjee","user_email":"sbhattacharjee@esri.com","user_url":"","user_registered":"2024-11-04 12:04:18","user_description":"Product engineer on the ArcGIS Online team.","user_avatar":""},{"ID":299162,"user_firstname":"Ling","user_lastname":"Tang","nickname":"Ling Tang (Redlands)","user_nicename":"ling_tang","display_name":"Ling Tang","user_email":"Ling_Tang@esri.com","user_url":"","user_registered":"2022-01-10 21:15:59","user_description":"Dr. Ling Tang has been exploring Remote Sensing and GIS for more than 20 years. She is a Senior Product Engineer for imagery at Esri where she focuses on the development of best practices for visualizing and analyzing scientific big data, machine learning and image classification on ArcGIS platform. Before joining Esri, she was a former research professional at NASA GSFC worked on a couple of precipitation missions.","user_avatar":""}],"short_description":"Mapping mangrove dynamics assessing loss gain and stable areas in Map Viewer using a raster function template available in Living Atlas. ","flexible_content":[{"acf_fc_layout":"content","content":"

Mapping mangrove dynamics is critical for understanding the health and resilience of these unique ecosystems. Mangroves provide invaluable ecosystem services such as carbon sequestration, coastal protection from storm surges, and habitat for diverse species. Monitoring changes in mangrove extent whether it’s loss, gain, or no change supports effective conservation planning, assess the impact of human activities and climate change, and prioritize restoration efforts.<\/p>\n

This blog will guide you through the process of using<\/span> Image collection explorer<\/a> in combination with a Raster function template to analyze mangrove dynamics<\/a> available in Living Atlas. The detailed workflow for selecting imagery through the Image collection explorer is covered in another blog here<\/a>.<\/p>\n"},{"acf_fc_layout":"content","content":"

Requirements<\/h2>\n

To complete this tutorial, you will need to have an\u00a0ArcGIS Online account<\/a> to add the imagery layer to a web map and you will need to have a Professional<\/a>, or\u00a0Professional Plus<\/a>\u00a0user type, which you will need to perform raster analysis.<\/p>\n

Study area<\/h2>\n

Mangroves can be found along tropical and subtropical coastlines, are rapidly declining due to agriculture, urbanization, and aquaculture. This study maps mangrove dynamics from 2014 to 2024 across key regions, including Myanmar\u2019s Ayeyarwady Delta also called the Irrawaddy Delta, some parts of the West African coastline, and Florida\u2019s coastal areas. While significant losses have been recorded, several regions show natural regeneration and successful community led restoration. These patterns reveal both the persistent threats and the promising potential for recovery through sustained conservation efforts.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2843202,"id":2843202,"title":"StudyArea_Final","filename":"StudyArea_Final-e1750319572803.png","filesize":5416550,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/StudyArea_Final-e1750319572803.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/mapping-mangrove-dynamics-with-raster-functions-in-map-viewer\/studyarea_final","alt":"","author":"364372","description":"","caption":"Mangrove study areas highlighted across Myanmar, parts of West Africa, and Florida's coastline overlaid on Esri basemap","name":"studyarea_final","status":"inherit","uploaded_to":2828552,"date":"2025-06-19 07:51:06","modified":"2025-06-25 07:52:20","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2280,"height":1256,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/StudyArea_Final-e1750319572803-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/StudyArea_Final-e1750319572803-464x256.png","medium-width":464,"medium-height":256,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/StudyArea_Final-e1750319572803-768x423.png","medium_large-width":768,"medium_large-height":423,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/StudyArea_Final-e1750319572803-1920x1058.png","large-width":1920,"large-height":1058,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/StudyArea_Final-e1750319572803-1536x846.png","1536x1536-width":1536,"1536x1536-height":846,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/StudyArea_Final-e1750319572803-2048x1128.png","2048x2048-width":2048,"2048x2048-height":1128,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/StudyArea_Final-e1750319572803-826x455.png","card_image-width":826,"card_image-height":455,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/StudyArea_Final-e1750319572803-1920x1058.png","wide_image-width":1920,"wide_image-height":1058}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Is a decade long enough to detect meaningful changes?<\/h2>\n

A decade may seem brief, but mangroves are highly dynamic ecosystems. Over 10 years, significant changes can occur, especially in areas under pressure from deforestation, aquaculture, and sea-level rise. Advances in remote sensing and high-resolution satellite imagery allow even subtle changes to be detected over such a period. Therefore, while it might be a relatively short span, it is sufficient to observe meaningful patterns of loss and gain in mangrove extents.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2854872,"id":2854872,"title":"TimelapseFinal","filename":"TimelapseFinal.gif","filesize":8346445,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/TimelapseFinal.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/mapping-mangrove-dynamics-with-raster-functions-in-map-viewer\/timelapsefinal","alt":"","author":"364372","description":"","caption":"NDVI trends (1994 \u2013 2024) highlighting vegetation change using Esri Landsat Explorer","name":"timelapsefinal","status":"inherit","uploaded_to":2828552,"date":"2025-06-25 08:17:47","modified":"2025-06-25 08:19:02","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1280,"height":720,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/TimelapseFinal-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/TimelapseFinal.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/TimelapseFinal.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/TimelapseFinal.gif","large-width":1280,"large-height":720,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/TimelapseFinal.gif","1536x1536-width":1280,"1536x1536-height":720,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/TimelapseFinal.gif","2048x2048-width":1280,"2048x2048-height":720,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/TimelapseFinal-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/TimelapseFinal.gif","wide_image-width":1280,"wide_image-height":720}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Which satellite sensors are compatible<\/h2>\n

This RFT<\/a> is compatible with various satellite sensors that capture key spectral bands for analysis. Commonly used imagery layers include Sentinel-2 Level-2A<\/a>\u00a0and Landsat Level-2<\/a> which is accessible through the Living Atlas. This sensors provide red and near-infrared bands for medium resolution analysis.<\/p>\n

A group of Living Atlas imagery layers<\/a> allow processing at large scale, it requires ArcGIS Online organization administrators to enable this capability. For more details please refer to this help documentation: Raster analysis with ArcGIS Living Atlas imagery.<\/a><\/p>\n"},{"acf_fc_layout":"content","content":"

Mapping mangrove dynamics using raster function template<\/h2>\n

The process of preparing the layer from the Living Atlas and working with the Raster Function Template has been thoroughly explained in the RFT\u00a0<\/a>description and is covered in detail in a separate blog<\/a>.<\/p>\n

Once you open the raster function template you can see various raster functions has been used to map the mangrove areas. Here, we have used two time period images from 2014 (T1) and 2024 (T2). First, we have rasterized the mangrove extent using Rasterize features<\/a> function and then applied the Clip<\/a> function to isolate only the mangrove regions, which effectively excludes other vegetation types including small shrubs and other trees.<\/p>\n

Next, we have calculated Normalized Difference Vegetation Index (NDVI) for both images using Band Arithmetic<\/a> function. A threshold is then applied to each NDVI output to create a binary image which filters out low density vegetation. This helps minimize background noise and allows us to focus on the denser mangrove areas.<\/p>\n

With binary layers prepared for both T1 and T2, Compute Change<\/a> function is used to perform change detection which generates a difference layer that highlights the variations between the two time periods. Finally, the Attribute Table<\/a> function was used to highlight the classes generating clear, interpretable maps of mangrove change over time.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2854852,"id":2854852,"title":"Results_redo (1)","filename":"Results_redo-1-e1750839195421.png","filesize":11134117,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Results_redo-1-e1750839195421.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/mapping-mangrove-dynamics-with-raster-functions-in-map-viewer\/results_redo-1","alt":"","author":"364372","description":"","caption":"Layer highlighting areas of mangrove degradation, stability, and regrowth over time","name":"results_redo-1","status":"inherit","uploaded_to":2828552,"date":"2025-06-25 08:10:43","modified":"2025-06-25 08:13:44","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2416,"height":1992,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Results_redo-1-e1750839195421-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Results_redo-1-e1750839195421-317x261.png","medium-width":317,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Results_redo-1-e1750839195421-768x633.png","medium_large-width":768,"medium_large-height":633,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Results_redo-1-e1750839195421-1310x1080.png","large-width":1310,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Results_redo-1-e1750839195421-1536x1266.png","1536x1536-width":1536,"1536x1536-height":1266,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Results_redo-1-e1750839195421-2048x1689.png","2048x2048-width":2048,"2048x2048-height":1689,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Results_redo-1-e1750839195421-564x465.png","card_image-width":564,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Results_redo-1-e1750839195421-1310x1080.png","wide_image-width":1310,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Conclusion<\/h1>\n

This blog demonstrates how mangrove dynamics can be effectively mapped over time using readily available satellite data and raster functions. We hope this blog has helped you better understand the raster analysis workflow and shown how accessible and straightforward it can be to use readily available data for meaningful analysis.<\/p>\n

The Product Team is interested in your thoughts and ideas. Influence the direction of future releases when you visit us and leave a comment via the\u00a0Imagery in ArcGIS Online community<\/a>\u00a0on Esri Community.<\/p>\n"}],"related_articles":"","show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/result_Mangrove.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/result_Mangrove-2.jpg"},"yoast_head":"\nMap mangrove dynamics with raster functions in Map Viewer<\/title>\n<meta name=\"description\" content=\"Mapping mangrove dynamics assessing loss gain and stable areas in Map Viewer using a raster function template available in Living Atlas.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/mapping-mangrove-dynamics-with-raster-functions-in-map-viewer\" \/>\n<meta property=\"og:locale\" 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