initial commit

Author: ssmahto

InfeRes_package/MASK.py

@@ -105,7 +105,7 @@ def mask(res_name, yearOFcommission, max_wl, point, boundary, dem_file_path, res
     print("Estimating cloud fraction...")
     class_count = 0 
     cloud_threshold = 80
-    #L8band_quality_threshold= 22280     # See user guide for more information
+    #L8band_quality_threshold= 22280     # See supplemental folder (Landsat documentation) for more information
     #L7band_quality_threshold= 5896
     #L5band_quality_threshold= 5896
     os.chdir(res_directory + "/Outputs") 

InfeRes_package/WSA.py

@@ -159,7 +159,7 @@ def wsa(res_name, res_directory):
                                 qual = 1
                 print("      Final area: "+str(round(fn_area,3))+" km2")
                 print("   ") 
-                results = np.append(results, [[str(filename[8]), str(filename[11]),filename[18:28],
+                results = np.append(results, [[str(filename[8]), str(filename[10:12]),filename[18:28],
                                                round(threshold,3), round(ratio[49],3), 
                                                int(N_10), int(s_index), int(qual), 
                                                round(bf_area,3), round(af_area,3), 

InfeRes_package/data_processing.py

@@ -1,7 +1,7 @@
 ############+++++++++++ PLEASE MAKE SURE OF THE FOLLOWING POINTS BEFORE RUNNING THE CODE +++++++++++############
 # [1]. Data are already downloaded (Satellite images and DEM)
 # [2]. DEM should be in the projected coordinate system (unit: meters)
-# [3]. Use the same coordinates that you have used in "first_script_data_download.py"
+# [3]. Use the same coordinates that you have used in "data_download.py"
 # [4]. All the python(scripts) files are inside ".../ReservoirExtraction/codes"
 # [5]. "Number_of_tiles" = Number of Landsat tiles to cover the entire reservoir. It is recommended to download the Landsat tile covering the maximum reservoir area 
 ############++++++++++++++++++++++++++++++++++++++++ END ++++++++++++++++++++++++++++++++++++++++#############