NASA-DEVELOP/SLaCC
The Supervised Land Cover Classification (SLaCC) tool is a Google Earth Engine script created by the Summer 2019 Southern Maine Health and Air Quality Team. It uses NASA Earth observations, the National Land Cover Database, land cover classification training data, and a shapefile of Cumberland County, Maine, USA. The goal of the project was to evaluate land cover and tick habitat suitability in southern Maine. The SLaCC script occurs in two parts. Part 1 of the script allows users to create a supervised land cover map over a region using a Classification And Regression Tree (CART) model. Part 2 of the script allows users to create a map that displays the "edges" of chosen land covers.
This tool helps environmental scientists and urban planners map land cover and identify land cover boundaries within a region using satellite imagery. You input a geographic region of interest, training data for different land cover types, and satellite images. It then outputs detailed maps showing land classifications and the edges between different land cover types as GeoTIFF files.
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Use this if you need to create detailed land cover maps and analyze the boundaries between land features for environmental monitoring or urban planning.
Not ideal if you need real-time land cover analysis, or if your project requires highly granular classification beyond general land cover types and their edges.
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Feb 11, 2022
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