I'm trying to find the cell value at various locations in a set of rasters so I can count the number of real values (aka not 'NoData') that occur at all the locations within each raster. The various locations are represented as points in a point shapefile. I exported the shapefile's attribute table (including lat/long) to a csv and am looping over each point to get the value. I have a script ready to go, but am having trouble storing the output of the 'gdallocationinfo' as a result.
How can I do this in python?
Here is my pseudo code:
for raster in rasters:
count = 0
for i in range(0, Npts):
lat = points[i][10] # lat is 10th row of csv
lon = points[i][9] # longitude is 9th row of csv
result = os.system('gdallocationinfo -valonly -wgs84 %s %s %s' % (raster, lon, lat))
print result
if not result == 'nan': count+=1 # if result is no 'nan', add to the count
row = [raster, str(count)]
# write row to csv
When I run the actual code, the system call for 'gdallocationinfo' prints out the correct values (or 'nan'). But when it gets to 'print result', it just prints 0. So the command call is giving me the correct result, but this obviously is not the way to store the result as a variable so I can use it later. I'm calling the python code from the linux command line.