Python Sen3dkol Software -
import os import subprocess import logging from pathlib import Path # Configure structured runtime logs logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') def execute_sen3dkol_processor(input_directory: str, output_directory: str, resolution: int = 20) -> bool: """ Executes the Sen3DKol atmospheric correction engine over a target satellite product directory. """ input_path = Path(input_directory) output_path = Path(output_directory) if not input_path.exists(): logging.error(f"Target input directory missing: input_path") return False output_path.mkdir(parents=True, exist_ok=True) # Structure system arguments for the underlying Sen3DKol software binary processing_command = [ "sen3dkol", "--input", str(input_path), "--output", str(output_path), "--resolution", str(resolution), "--mode", "BOA" ] try: logging.info(f"Initiating Sen3DKol processor for: input_path.name") # Execute binary and capture stdout/stderr streams runtime_process = subprocess.run( processing_command, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True ) logging.info("Sen3DKol processing sequence completed successfully.") return True except subprocess.CalledProcessError as error: logging.error(f"Sen3DKol execution failed. Return code: error.returncode") logging.error(f"Error Context: error.stderr") return False # Example invocation for a pipeline step if __name__ == "__main__": RAW_DATA_INPUT = "/data/satellite/incoming/L1C_Tile_001" ANALYSIS_READY_OUTPUT = "/data/satellite/processed/L2A_Tile_001" success = execute_sen3dkol_processor(RAW_DATA_INPUT, ANALYSIS_READY_OUTPUT, resolution=10) Use code with caution. Data Analysis & Array Manipulation
: numpy , xarray , dask , matplotlib , pykdtree (for fast spatial queries). python sen3dkol software
eddy_field = kolmogorov_eddies(chl, temp, scale_km=10) import os import subprocess import logging from pathlib
Do not load complete spatial scenes into RAM simultaneously. Use Dask-backed Xarray architectures to stream array slices lazily. Data Analysis & Array Manipulation : numpy ,