Hong Xu
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Hong is a Principal Software Product Engineer on Esri’s raster team. She joined Esri in 1999 and has involved and led various software products on imagery and scientific data since then. Her current focuses are time series image analysis and multidimensional raster.

Posts by this author
Change Detection in Amazon Floodplains Using Landsat Time Series

Learn how to perform time series change detection workflow in ArcGIS

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Dev Summit 2022: Spatial and temporal pattern analysis of time series imagery

Learn how you can use Principal Component Analysis in ArcGIS Notebooks for spatial and temporal pattern analysis of time series imagery.

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Visualize raster using a vector field in ArcGIS

Visualize ocean and atmospheric data using vector field and animated flow renderers in ArcGIS and create maps for desktop and web applications

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Principal component analysis of multidimensional raster in ArcGIS

Use the Multidimensional Principal Components tool to analyze the spatial and temporal patterns of vegetation in Pantanal.

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Mapping extreme weather zones for birds

Analyze weather variables using the multidimensional raster analysis tools in ArcGIS to map the extreme weather zones that affect birds.

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Dev Summit 2021: Change detection of time series imagery

Learn how you can use LandTrendr in ArcGIS Notebooks to detect changes in time series imagery.

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Change Detection of Time Series Imagery

Analyze your time series imagery using tools and APIs that implement the CCDC and LandTrendr algorithms.

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Analyze climate impact on wine production using multidimensional analysis

This article uses multidimensional raster analysis capabilities and ArcGIS Notebooks to analyze climate impact on crops such as grapes for wine.

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Clean up your Landsat imagery: removing cloud and cloud shadow

Clean up a single Landsat image or a collection of Landsat images by removing cloud and cloud shadow pixels from the surface reflectance data.

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