diff --git a/DATA_SuPER/DEM_SuPER.py b/DATA_SuPER/DEM_SuPER.py
index bad9a6b..36a6675 100644
--- a/DATA_SuPER/DEM_SuPER.py
+++ b/DATA_SuPER/DEM_SuPER.py
@@ -32,7 +32,7 @@ Step2b: Process ALOS PALSAR RTC Project data
 
 -------------------------------------------------------------------------------                        
 Authors: Hong Xie
-Last Updated: 2025-10-10
+Last Updated: 2025-10-11
 ===============================================================================
 """
 
@@ -40,6 +40,7 @@ import os
 import sys
 import glob
 import json
+import requests
 import zipfile
 import time
 import dask.distributed
@@ -112,6 +113,19 @@ def download_granule(granule_urls: list[str], output_dir: str) -> bool:
         try:
             earthaccess.download(granule_urls, output_dir)
         except Exception as e:
+            # 下载失败时, 先尝试使用 requests 库下载
+            for url in granule_urls:
+                response = requests.get(url)
+                if response.status_code == 200:
+                    with open(
+                        os.path.join(output_dir, os.path.basename(url)), "wb"
+                    ) as f:
+                        f.write(response.content)
+                else:
+                    logging.error(
+                        f"Error downloading data: {response.status_code}. Skipping."
+                    )
+                    return False
             logging.error(f"Error downloading data: {e}. Skipping.")
             return False
     logging.info("All Data already downloaded.")
@@ -138,41 +152,41 @@ def unzip_dem_files(
     """
     try:
         for zip_path in zip_file_list:
-            if not zipfile.is_zipfile(zip_path):
+            if not os.path.isfile(zip_path) or not zipfile.is_zipfile(zip_path):
                 continue
             with zipfile.ZipFile(zip_path, "r") as zip_ref:
                 if mode_str == "NASADEM":
-                    # 示例文件名称: NASADEM_HGT_n30e113.zip
+                    # 示例ZIP文件名称: NASADEM_HGT_n30e113.zip
                     # 仅解压包含 .hgt, .slope, .aspect 的文件
-                    for hgt_file in [
+                    for tif_file in [
                         f
                         for f in zip_ref.namelist()
                         if f.endswith((".hgt", ".slope", ".aspect"))
                     ]:
                         # 解压时重命名文件
                         new_name = (
-                            hgt_file.replace(".hgt", ".elevation.hgt")
-                            if hgt_file.endswith(".hgt")
-                            else f"{hgt_file}.hgt"
+                            tif_file.replace(".hgt", ".elevation.hgt")
+                            if tif_file.endswith(".hgt")
+                            else f"{tif_file}.hgt"
                         )
-                    unzip_file_path = os.path.join(unzip_dir, new_name)
-                    if os.path.exists(unzip_file_path):
-                        continue
-                    with zip_ref.open(hgt_file) as source_file:
-                        with open(unzip_file_path, "wb") as unzip_file:
-                            unzip_file.write(source_file.read())
-                elif mode_str == "ALOSDEM":
-                    # 仅解压包含 dem.tif 的文件
-                    for tif_file in [
-                        f for f in zip_ref.namelist() if f.endswith("dem.tif")
-                    ]:
-                        new_name = tif_file.replace("dem.tif", "elevation.tif")
+                        # 解压文件到指定目录
                         unzip_file_path = os.path.join(unzip_dir, new_name)
                         if os.path.exists(unzip_file_path):
                             continue
                         with zip_ref.open(tif_file) as source_file:
                             with open(unzip_file_path, "wb") as unzip_file:
                                 unzip_file.write(source_file.read())
+                elif mode_str == "ALOSDEM":
+                    # 示例ZIP文件名称: AP_14354_FBS_F3000_RT1.zip
+                    # 仅解压包含 dem.tif 的文件, 其内部路径为 AP_14354_FBS_F3000_RT1/AP_14354_FBS_F3000_RT1.dem.tif
+                    tif_file = [f for f in zip_ref.namelist() if f.endswith("dem.tif")][0]
+                    # 解压文件到指定目录
+                    unzip_file_path = os.path.join(unzip_dir, os.path.basename(tif_file))
+                    if os.path.exists(unzip_file_path):
+                        continue
+                    with zip_ref.open(tif_file) as source_file:
+                        with open(unzip_file_path, "wb") as unzip_file:
+                            unzip_file.write(source_file.read())
     except Exception as e:
         logging.error(f"Error unzipping {mode_str} to {unzip_dir}: {e}")
         return
@@ -215,26 +229,26 @@ def process_granule(
 
     if mode_str == "NASADEM":
         dem_file_list = glob.glob(os.path.join(unzip_dir, f"*{name}.hgt"))
-        out_tif_name = f"DEM.NASADEM.{tile_id}.2000.{name}.tif"
+        out_tif_name = f"DEM.{mode_str}.{tile_id}.2000.{name}.tif"
     elif mode_str == "ALOSDEM":
         dem_file_list = glob.glob(os.path.join(unzip_dir, f"*{name}.tif"))
-        out_tif_name = f"DEM.ALOSDEM.{tile_id}.2014.{name}.tif"
+        out_tif_name = f"DEM.{mode_str}.{tile_id}.2011.{name}.tif"
     output_file = os.path.join(output_dir, out_tif_name)
     if not os.path.isfile(output_file):
         try:
             dem_raster_list = []
             for dem_path in dem_file_list:
-                dem = (
+                raster = (
                     open_rasterio(dem_path).squeeze(dim="band", drop=True).rename(name)
                 )
                 if name == "slope" or name == "aspect":
-                    org_attrs = dem.attrs
-                    dem = dem * 0.01
+                    org_attrs = raster.attrs
+                    raster = raster * 0.01
                     # 恢复源数据属性信息
-                    dem.attrs = org_attrs.copy()
-                    dem.rio.write_crs("EPSG:4326", inplace=True)
-                    dem.attrs["scale_factor"] = 1
-                dem_raster_list.append(dem)
+                    raster.attrs = org_attrs.copy()
+                    raster.rio.write_crs("EPSG:4326", inplace=True)
+                    raster.attrs["scale_factor"] = 1
+                dem_raster_list.append(raster)
             if len(dem_raster_list) >= 1:
                 if name == "slope" or name == "aspect":
                     dem_mosaiced = mosaic_images(dem_raster_list, nodata=-9999)
@@ -333,7 +347,7 @@ def main(
 
 
 if __name__ == "__main__":
-    earthaccess.login(persist=True)
+    earthaccess.login(strategy="netrc", persist=True)
     # region = gpd.read_file("./data/vectors/wuling_guanqu_polygon.geojson")
     # tile_id = "49REL"
     tile_id = "Wuhan"