These are a set of scripts to train a deep learning based SAR image despeckling method.
-
Updated
Nov 15, 2021 - MATLAB
These are a set of scripts to train a deep learning based SAR image despeckling method.
A first order radiative transfer model for soil- and vegetation related parameter retrievals from radar-data
Linear and nonlinear mapping of sea surface waves imaged by synthetic aperture radar
This repo is used to process sentinel1 data and put COGs in S3
Map floods with Sentinel-1 radar images. We replicate in this package the work of Bauer-Marschallinger et al. (2022) on the TU Wien Bayesian-based flood mapping algorithm. This implementation is entirely based on Dask and data access via STAC with odc-stac.
Posting "Antarctica Today Surface Melt" updates to social media daily.
Long range thermoacoustic silent speech interface.
FOAM: The Forward Ocean Atmosphere Microwave radiative transfer model and mission simulator
A collection of notebooks for microwave remote sensing exercise
Sentinel-1 based TU Wien flood mapping workflow written using the openEO API and prepared for local processing.
Electromagnetic Interactions
Collection of educational Python Notebooks on Earth Observation (EO) datascience.
Add a description, image, and links to the microwave-remote-sensing topic page so that developers can more easily learn about it.
To associate your repository with the microwave-remote-sensing topic, visit your repo's landing page and select "manage topics."