Downscale to 90m and smooth with focal mean of radius 5 for smooth_Tc_layered in image.py...

This is supposed to take care of lack of smoothness from coarse Tcorr. Credit to Leo Laipelt!

Author: gabe-parrish

openet/ssebop/image.py

@@ -884,8 +884,10 @@ def tcold_FANO(self):
         ee.Image of Tcold values
 
         """
+        gridsize_smooth = 90
         gridsize_fine = 240
         gridsize_coarse = 4800
+        smooth_transform = [gridsize_smooth, 0, 15, 0, -gridsize_smooth, 15]
         fine_transform = [gridsize_fine, 0, 15, 0, -gridsize_fine, 15]
         self.coarse_transform = [gridsize_coarse, 0, 15, 0, -gridsize_coarse, 15]
         dt_coeff = 0.125
@@ -1004,11 +1006,11 @@ def tcold_FANO(self):
 
         ## ---------- Smoothing the FANO for Ag together starting with mixed landscape -------
 
-        # 1 pixel of smoothing to the main Tc where we make use of landcovers
+        # downscaling to 90 and smoothing with a 5x5 Tc where we make use of landcovers
         self.smooth_Tc_Layered = (
             self.tc_layered
-            .focalMean(1, 'square', 'pixels')
-            .reproject(self.crs, fine_transform)
+            .reproject(self.crs, smooth_transform)
+            .focalMean(5, 'square', 'pixels')
             .rename('lst')
         )
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "openet-ssebop"
-version = "0.7.0"
+version = "0.7.1"
 authors = [
     { name = "Gabe Parrish", email = "[email protected]" },
     { name = "Mac Friedrichs", email = "[email protected]" },