Episode #125 of the Stack Overflow podcast is here. We talk Tilde Club and mechanical keyboards. Listen now

New answers tagged


I believe the issue is in your feature collection. I can't access it as you don't have it shared, so can't investigate what is going on there. But I have tested the script with a random geometry placed on the map, and had no issues. Check that your feature collection doesn't have too many features to it. ================================== EDIT Thanks ...


Try using raster calculator to calculate a single summarizing statistic based on all 15 bands. You will have to have each band separated as a one-band raster dataset or as a raster layer in the map. I have never used this this, but the Band Collection Statistics tools sounds useful.


MODIS assumes the Earth is a sphere with a R = 6.3781e6 m radius. The world is subdivided into 18 vertical tiles and 36 horizontal tiles, each tile has 2400 cells of 500m x 500m. We can code this as: import math CELLS = 2400 VERTICAL_TILES = 18 HORIZONTAL_TILES = 36 EARTH_RADIUS = 6371007.181 EARTH_WIDTH = 2 * math.pi * EARTH_RADIUS TILE_WIDTH = ...


I recommend resampling your raster data to match the higher resolution dataset (i.e. smaller pixel dimensions) using gdal. First run the gdalinfo utility on both files to determine the resolution gdalinfo *path\to\file1.tiff* gdalinfo *path\to\file2.tif* then choose the smaller set of values (call these xres and yres) of the two and use gdalwarp to ...

Top 50 recent answers are included