change to par

AOD_NetCDF_to_GeoTIFF.py

@@ -14,7 +14,7 @@ def NC_to_tiffs(data, Output_folder):
 
     # 读取变量的时候，会自动根据scale factor对数值进行还原，但是Nodata的栅格会存储为-32768
     # 无论是日数据还是小时数居，变量名都是"SWR"
-    AOD_arr = np.asarray(nc_data_obj.variables["SWR"])  # 将SWR数据读取为数组
+    AOD_arr = np.asarray(nc_data_obj.variables["PAR"])  # 将SWR数据读取为数组
 
     # 这个循环将所有Nodata的值（即-32768）全部改为0
     for i in range(len(AOD_arr)):

main.py

@@ -1,6 +1,8 @@
 import os
 import Download_AOD as Daod
 import datetime as dt
+import glob
+import AOD_NetCDF_to_GeoTIFF as trans
 
 today = dt.date(2022, 7, 22)
 print(today)
@@ -96,6 +98,14 @@ if __name__ == "__main__":
             # Analysis_Path = dst_filePath + "/PAR_Minutes_Analysis"
             # if not os.path.exists(Analysis_Path):
             #     os.makedirs(Analysis_Path)
+            data_list = glob.glob(Download_Path + "\\*.nc")
+
+            # for循环完成解析
+            for i in range(len(data_list)):
+                data = data_list[i]
+                trans.NC_to_tiffs(data, Analysis_Path)
+                print(data + "-----转tif成功")
+
             today = today + dt.timedelta(days=1)
     else:
         print("选择错误！")