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.

36
/ 100
Emerging

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.

No commits in the last 6 months.

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.

land-cover-mapping environmental-monitoring urban-planning geospatial-analysis habitat-suitability
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 16 / 25

How are scores calculated?

Stars

7

Forks

6

Language

JavaScript

License

Last pushed

Feb 11, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/NASA-DEVELOP/SLaCC"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.