made minor changes to main script

urban_areas/main1_precipDownload.py

@@ -55,10 +55,10 @@ from urban_areas.py.s13CalculatePrecipSum import calculatePrecipSum
 # =============================================================================
 # DEFINE INPUT PARAMETERS
 # =============================================================================
-start = '2020-01-01'
+start = '2022-01-01'
 end = '2022-07-01'
-coordinates = (-72.366943,19.543614,-72.112198,19.817098)
-dest_name = "CapHaitien_catchmentarea_Jan2020Jun2022"
+coordinates = (-72.243484,19.697338,-72.154221,19.773160)
+dest_name = "CapHaitien_Jan2022Jun2022"
 grid = 4
 sum_days = 14
 

urban_areas/main2_urbanSAR.py

@@ -61,7 +61,7 @@ from urban_areas.py.s23OutlierDetection import visualOutlierDetection, statistic
 # =============================================================================
 # PARAMETERS FOR RASTER CLIPPING
 # Make 'coordinates' an empty tuple to take SAR image as extent 
-SAR_path = 'SAR/CapHaitien_Jan2020Mar2022'
+SAR_path = 'CapHaitien_Jan2022Jun2022'
 urban_raster = 'urban_areas/GHS_BUILT_S_E2018_GLOBE_R2022A_HAITI.tif' 
 coordinates = (-72.243484,19.697338,-72.154221,19.773160)
 
@@ -71,7 +71,7 @@ show_bbox = 'y'
 # =============================================================================
 # PARAMETERS FOR VISUALISATION
 # Add file name of the precipitation data that should be linked to the mean vv (including '.CSV')
-precipitation_csv = 'precipitation_data/daily_precipitation_avg14days_CapHaitien_catchmentarea_Jan2020Jun2022.CSV'
+precipitation_csv = 'precipitation_data/daily_precipitation_avg14days_CapHaitien_Jan2022Jun2022.CSV'
 
 # =============================================================================
 # EXECUTE RASTER CLIPPING