added scripts to run day and all downloading

rs_tools/_src/data/modis/downloader_aqua.py

@@ -1,9 +1,6 @@
 """
-A General Pipeline for create ML-Ready Data
-- Downloading the Data
-- Data Harmonization
-- Normalizing
-- Patching
+Pipeline for downloading AQUA MODIS data
+- Daytime and nightime data
 """
 import autoroot
 import numpy as np
@@ -39,7 +36,7 @@ def download(self) -> List[str]:
             processing_level='L1b',
             resolution="1KM",
             bounding_box=self.bounding_box,
-            day_night_flag="day",
+            day_night_flag=None,
             identifier= "02"
             )
         return aqua_files
@@ -56,7 +53,7 @@ def download_cloud_mask(self) -> List[str]:
             processing_level='L2',
             resolution="1KM",
             bounding_box=self.bounding_box,
-            day_night_flag="day",
+            day_night_flag=None,
             identifier= "35"
             )
         return aqua_files

rs_tools/_src/data/modis/downloader_aqua_day.py

@@ -0,0 +1,108 @@
+"""
+Pipeline for downloading AQUA MODIS data
+- Only daytime data
+"""
+import autoroot
+import numpy as np
+
+from pathlib import Path
+from dataclasses import dataclass
+from typing import List
+from rs_tools import modis_download
+
+import typer
+from loguru import logger
+
+
+@dataclass
+class MODISAquaDownload:
+    """Downloading class for AQUA/MODIS data and cloud mask"""
+    start_date: str
+    end_date: str
+    start_time: str
+    end_time: str
+    save_dir: str
+    bounding_box: tuple[float, float, float, float]
+
+    def download(self) -> List[str]:
+        aqua_files = modis_download(
+            start_date=self.start_date,
+            end_date=self.end_date,
+            start_time=self.start_time, 
+            end_time=self.end_time,
+            day_step=1,
+            satellite="Aqua",
+            save_dir=Path(self.save_dir).joinpath("L1b"),
+            processing_level='L1b',
+            resolution="1KM",
+            bounding_box=self.bounding_box,
+            day_night_flag="day",
+            identifier= "02"
+            )
+        return aqua_files
+
+    def download_cloud_mask(self) -> List[str]:
+        aqua_files = modis_download(
+            start_date=self.start_date,
+            end_date=self.end_date,
+            start_time=self.start_time, 
+            end_time=self.end_time,
+            day_step=1,
+            satellite="Aqua",
+            save_dir=Path(self.save_dir).joinpath("CM"),
+            processing_level='L2',
+            resolution="1KM",
+            bounding_box=self.bounding_box,
+            day_night_flag="day",
+            identifier= "35"
+            )
+        return aqua_files
+
+
+def download(
+        start_date: str = "2020-10-01", 
+        end_date: str = "2020-10-01",
+        start_time: str = "14:00:00",
+        end_time: str = "21:00:00",
+        save_dir: str = "./data/",
+        region: str = "-130 -15 -90 5",
+        cloud_mask: bool = True
+):
+    """
+    Downloads AQUA MODIS data including cloud mask
+
+    Args:
+        start_date (str): The start date of the period to download files for in the format "YYYY-MM-DD".
+        end_date (str): The end date of the period to download files for in the format "YYYY-MM-DD".
+        start_time (str): The start time of the period to download files for in the format "HH:MM:SS".
+        end_time (str): The end time of the period to download files for in the format "HH:MM:SS".
+        save_dir (str): The directory path to save the downloaded files.
+        region (str, optional): The geographic region to download files for in the format "min_lon min_lat max_lon max_lat".
+        cloud_mask (bool, optional): Whether to download the cloud mask data (default: True).
+
+    Returns:
+        None
+    """
+    bounding_box = tuple(map(lambda x: int(x), region.split(" ")))
+    # Initialize AQUA Downloader
+    logger.info("Initializing AQUA Downloader...")
+    dc_aqua_download = MODISAquaDownload(
+        start_date=start_date,
+        end_date=end_date,
+        start_time=start_time,
+        end_time=end_time,
+        save_dir=Path(save_dir).joinpath("aqua"),
+        bounding_box=bounding_box,
+    )
+    logger.info("Downloading AQUA Data...")
+    modis_filenames = dc_aqua_download.download()
+    logger.info("Done!")
+    if cloud_mask:
+        logger.info("Downloading AQUA Cloud Mask...")
+        modis_filenames = dc_aqua_download.download_cloud_mask()
+        logger.info("Done!")
+
+    logger.info("Finished AQUA Downloading Script...")
+
+if __name__ == '__main__':
+    typer.run(download)

rs_tools/_src/data/modis/downloader_terra.py

@@ -1,9 +1,6 @@
 """
-A General Pipeline for create ML-Ready Data
-- Downloading the Data
-- Data Harmonization
-- Normalizing
-- Patching
+Pipeline for downloading TERRA MODIS data
+- Daytime and nightime data
 """
 import autoroot
 import numpy as np
@@ -39,7 +36,7 @@ def download(self) -> List[str]:
             processing_level='L1b',
             resolution="1KM",
             bounding_box=self.bounding_box,
-            day_night_flag="day",
+            day_night_flag=None,
             identifier= "02"
             )
         return terra_files
@@ -56,7 +53,7 @@ def download_cloud_mask(self) -> List[str]:
             processing_level='L2',
             resolution="1KM",
             bounding_box=self.bounding_box,
-            day_night_flag="day",
+            day_night_flag=None,
             identifier= "35"
             )
         return terra_files

rs_tools/_src/data/modis/downloader_terra_day.py

@@ -0,0 +1,108 @@
+"""
+Pipeline for downloading TERRA MODIS data
+- Only daytime data
+"""
+import autoroot
+import numpy as np
+
+from pathlib import Path
+from dataclasses import dataclass
+from typing import List
+from rs_tools import modis_download
+
+import typer
+from loguru import logger
+
+
+@dataclass
+class MODISTerraDownload:
+    """Downloading class for TERRA/MODIS data and cloud mask"""
+    start_date: str
+    end_date: str
+    start_time: str
+    end_time: str
+    save_dir: str
+    bounding_box: tuple[float, float, float, float]
+
+    def download(self) -> List[str]:
+        terra_files = modis_download(
+            start_date=self.start_date,
+            end_date=self.end_date,
+            start_time=self.start_time, 
+            end_time=self.end_time,
+            day_step=1,
+            satellite="Terra",
+            save_dir=Path(self.save_dir).joinpath("L1b"),
+            processing_level='L1b',
+            resolution="1KM",
+            bounding_box=self.bounding_box,
+            day_night_flag="day",
+            identifier= "02"
+            )
+        return terra_files
+
+    def download_cloud_mask(self) -> List[str]:
+        terra_files = modis_download(
+            start_date=self.start_date,
+            end_date=self.end_date,
+            start_time=self.start_time, 
+            end_time=self.end_time,
+            day_step=1,
+            satellite="Terra",
+            save_dir=Path(self.save_dir).joinpath("CM"),
+            processing_level='L2',
+            resolution="1KM",
+            bounding_box=self.bounding_box,
+            day_night_flag="day",
+            identifier= "35"
+            )
+        return terra_files
+
+
+def download(
+        start_date: str = "2020-10-01", 
+        end_date: str = "2020-10-01",
+        start_time: str = "14:00:00",
+        end_time: str = "21:00:00",
+        save_dir: str = "./data/",
+        region: str = "-130 -15 -90 5",
+        cloud_mask: bool = True
+):
+    """
+    Downloads TERRA MODIS data including cloud mask
+
+    Args:
+        start_date (str): The start date of the period to download files for in the format "YYYY-MM-DD".
+        end_date (str): The end date of the period to download files for in the format "YYYY-MM-DD".
+        start_time (str): The start time of the period to download files for in the format "HH:MM:SS".
+        end_time (str): The end time of the period to download files for in the format "HH:MM:SS".
+        save_dir (str): The directory path to save the downloaded files.
+        region (str, optional): The geographic region to download files for in the format "min_lon min_lat max_lon max_lat".
+        cloud_mask (bool, optional): Whether to download the cloud mask data (default: True).
+
+    Returns:
+        None
+    """
+    bounding_box = tuple(map(lambda x: int(x), region.split(" ")))
+    # Initialize TERRA Downloader
+    logger.info("Initializing TERRA Downloader...")
+    dc_terra_download = MODISTerraDownload(
+        start_date=start_date,
+        end_date=end_date,
+        start_time=start_time,
+        end_time=end_time,
+        save_dir=Path(save_dir).joinpath("terra"),
+        bounding_box=bounding_box,
+    )
+    logger.info("Downloading TERRA Data...")
+    modis_filenames = dc_terra_download.download()
+    logger.info("Done!")
+    if cloud_mask:
+        logger.info("Downloading TERRA Cloud Mask...")
+        modis_filenames = dc_terra_download.download_cloud_mask()
+        logger.info("Done!")
+
+    logger.info("Finished TERRA Downloading Script...")
+
+if __name__ == '__main__':
+    typer.run(download)