Michael Dales11/14/2022, 10:36 AM
I don't follow why the
elevation_layer = Layer.layer_from_file('elecation.tiff') area_layer = UniformAreaLayer('area.tiff') validity_layer = Layer.layer_from_file('validity.tiff') # Work out the common subsection of all these and apply it to the layers intersection = Layer.find_intersection(elecation_layer, area_layer, validity_layer) elevation_layer.set_window_for_intersection(intersection) area_layer.set_window_for_intersection(intersection) validity_layer.set_window_for_intersection(intersection) # Work out the area where the data is valid and over 3000ft def is_munro(data): return numpy.where(data > 3000.0, 0.0, 1.0) result = validity_layer * area_layer * elevation_layer.apply(is_munro) result_band = result_gdal_dataset.GetRasterBand(1) result.save(result_band)
is in the computation of
. Or is it perhaps not needed in the definition of
? Are the multiplications over matrices (so the ranks need to line up)? Just trying to make sure I understand the example. I don't know anything about GDAL.
Konrad Hinsen11/15/2022, 8:07 AM
Michael Dales11/15/2022, 9:46 AM
The number you’d get would be the square meterage of planet covered by munros. (Assuming validity layer is a layer that just covers Scotland 🙂 For the actual work we used this tiff in another set of calculations. In that work we’re reasoning about area of habitat of species, so the result in that case is a GeoTIFF per species that has a 0 value where the species isn’t, and an area of the pixel if the species is there.
Konrad Hinsen11/15/2022, 3:18 PM
Michael Dales11/16/2022, 6:32 PM