4 ms·
Tiling and hosting is the straightforward part, FWIW. For the reprojection, tile cutting, and overview building in gdal, see https://gdal.org/programs/gdal2til
by jofer 7y ago
Tiling and hosting is the straightforward part, FWIW.
For the reprojection, tile cutting, and overview building in gdal, see https://gdal.org/programs/gdal2tiles.html https://gdal.org/programs/gdal2tiles.html You can also implement it yourself fairly easily if gdal2tiles.py doesn't have the features you need. The files and directory structure it outputs you can slap into into a static webserver and visualize directly with something like leaflet.
As far as where to get data, that's a whole topic unto itself, but you can start with things like https://earthexplorer.usgs.gov/ https://earthexplorer.usgs.gov/ for Landsat or https://datagateway.nrcs.usda.gov/ https://datagateway.nrcs.usda.gov/ for NAIP or https://scihub.copernicus.eu/ https://scihub.copernicus.eu/ for Sentinel.