vccs
Composable charting components for Vue 3, ported from Recharts
Fetch STAC-hosted land cover rasters, classify and summarize change over time within user-provided AOI polygons, and produce standardized maps, plots, and tables for reporting. Generic STAC pipeline w
DataR · ShellGitHub @NewGraphEnvironmentOnlineOwner unconfirmed
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R package for change analysis - Detecting Riparian and Inland Floodplain Transitions
Taken from the repository README
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Track land cover change in riparian and floodplain areas using free satellite imagery.
drift fetches classified rasters from STAC catalogs (Esri IO LULC, ESA WorldCover, or your own COGs), applies class labels and colors, and summarizes area change over time — ready for reports, maps, and plots.
Monitoring riparian vegetation loss matters for fish habitat, water quality, and restoration planning. Satellite land cover products are free and global, but wrangling multi-year STAC data into usable summaries takes boilerplate. drift handles the pipeline so you can focus on the analysis.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
Track land cover change in riparian and floodplain areas using free satellite imagery.
drift fetches classified rasters from STAC catalogs (Esri IO LULC, ESA WorldCover, or your own COGs), applies class labels and colors, and summarizes area change over time — ready for reports, maps, and plots.
Monitoring riparian vegetation loss matters for fish habitat, water quality, and restoration planning. Satellite land cover products are free and global, but wrangling multi-year STAC data into usable summaries takes boilerplate. drift handles the pipeline so you can focus on the analysis.Read the full README ↗