s3_catch

Catchment-scale Sentinel-3 processing

Purpose

This package is a python framework supporting the user in processing Sentinel-3 netcdf files from SARvatore GPOD (https://gpod.eo.esa.int/) and SciHub (https://scihub.copernicus.eu/). The framework and equations are detailed in:

Kittel, C. M. M., Jiang, L., Tøttrup, C., and Bauer-Gottwein, P.: Sentinel-3 radar altimetry for river monitoring – a catchment-scale evaluation of satellite water surface elevation from Sentinel-3A and Sentinel-3B, Hydrol. Earth Syst. Sci. Discuss., https://hess.copernicus.org/preprints/hess-2020-165/, in review, 2020.

This project contains functionalities including

• crop_raster: extract subsets of larger raster files to speed up processing
• s3_subset_ncdf: subset SciHub NetCDF files to speed up processing'
• s3_preprocessing: Extract all relevant l1b and l2 observations for virtual stations or individual tracks (floodplain processing)
• s3_evaluate
• s3_utils: contains functions used by the other scripts to process the sentinel-3 files

Read model file Extraction of network information, including drainage pattern, catchment and order of stream reaches.

Dependencies

To follow the full workflow from the HESSD paper, additional processing in e.g. QGIS might be required. It is recommended to ensure the following dependencies are installed:

• datetime

• os

• sys

• numpy

• struct

• itertools

• decimal

• unittest

• netCDF4

• geopandas

• GDAL

It is expected that the user has the following shapefiles and rasterfiles:

• DEM
• Water occurrence map
• Virtual stations shapefile

Getting started

A test dataset is provided along with the plugin, containing the files required for use, as developed for the HESSD article.

Copyright (C) 2020 Cecile M. M. Kittel ([email protected]) and Technical University of Denmark (www.dtu.dk)