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|CSDMS meeting abstract presentation=Google Earth Engine is a powerful geographic information system (GIS) that brings programmatic access and massively parallel computing to petabytes of publicly-available Earth observation data using Google’s cloud infrastructure. In this live-coding clinic, we’ll introduce some of the foundational concepts of workflows in Earth Engine and lay the groundwork for future self-teaching. Using the JavaScript API, we will practice: raster subsetting, raster reducing in time and space, custom asset (raster and vector) uploads, visualization, mapping functions over collections of rasters or geometries, and basic exporting of derived products. | |CSDMS meeting abstract presentation=Google Earth Engine is a powerful geographic information system (GIS) that brings programmatic access and massively parallel computing to petabytes of publicly-available Earth observation data using Google’s cloud infrastructure. In this live-coding clinic, we’ll introduce some of the foundational concepts of workflows in Earth Engine and lay the groundwork for future self-teaching. Using the JavaScript API, we will practice: raster subsetting, raster reducing in time and space, custom asset (raster and vector) uploads, visualization, mapping functions over collections of rasters or geometries, and basic exporting of derived products. | ||
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Latest revision as of 16:33, 11 June 2025
CSDMS 2020: Linking Ecosphere and Geosphere
An introduction to Google Earth Engine— the planetary-scale GIS for everyone
Abstract
Google Earth Engine is a powerful geographic information system (GIS) that brings programmatic access and massively parallel computing to petabytes of publicly-available Earth observation data using Google’s cloud infrastructure. In this live-coding clinic, we’ll introduce some of the foundational concepts of workflows in Earth Engine and lay the groundwork for future self-teaching. Using the JavaScript API, we will practice: raster subsetting, raster reducing in time and space, custom asset (raster and vector) uploads, visualization, mapping functions over collections of rasters or geometries, and basic exporting of derived products.
Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know (CSDMSweb@colorado.edu) and we will respond as soon as possible.
Of interest for:
