These are a set of scripts to train a deep learning based SAR image despeckling method.

Linear and nonlinear mapping of sea surface waves imaged by synthetic aperture radar

A first order radiative transfer model for soil- and vegetation related parameter retrievals from radar-data

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.

This repo is used to process sentinel1 data and put COGs in S3

FY-3 (FengYun-3) MWRI L1 (FY-3D/F/G/H) & MWHS L1 (FY-3D/E/F/H) & PMR L2 (FY-3G) reader

Long range thermoacoustic silent speech interface.

Posting "Antarctica Today Surface Melt" updates to social media daily.

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.

Attending the class

Electromagnetic Interactions

Multilayer AI Asset Protection with Edge Impulse and OpenClaw

Collection of educational Python Notebooks on Earth Observation (EO) datascience.