Closed dabhicusp closed 6 months ago
The last 2 commit based on the below examples:
Ex:
point = ee.Geometry.Point(-40.2414893624401 ,105.48790177216375 )
distance = 311.5
scale = 5000
projection = ee.Projection("EPSG:4326", [1, 0, 0, 0, -1, 0]).atScale(scale)
geometry = point.buffer(distance, proj=projection).bounds(proj=projection)
geometry.getInfo()
Output:
{'geodesic': False,
'crs': {'type': 'name', 'properties': {'name': 'EPSG:4326'}},
'type': 'Polygon',
'coordinates': [[[-54.232749912601655, 91.49664122200221],
[-26.250228812278554, 91.49664122200221],
[-26.250228812278554, 119.47916232232531],
[-54.232749912601655, 119.47916232232531],
[-54.232749912601655, 91.49664122200221]]]}
2.) geometry.bounds().getInfo()
{'geodesic': False,
'type': 'Polygon',
'coordinates': [[[-54.232749912601655, 91.49664122200221],
[-26.250228812278554, 91.49664122200221],
[-26.250228812278554, 91.49664122200221],
[-54.232749912601655, 91.49664122200221],
[-54.232749912601655, 91.49664122200221]]]}
So geometry.bounds()
is not working properly on the above examples so I updated it with only geometry
.
Fixed: #131.
As mentioned in the #131, the current code returns
0 values
for the external boundary of the clipped region. However, this is incorrect, and therefore, these values should be converted to theNaN values
.Approach: Create a global image with a constant value, and then blend this image with the actual image, ensuring that the original image data is preserved in the final image.