Vahid Freeman

TL;DR: This paper presents a method to retrieve surface soil moisture (SSM) from the Sentinel-1 (S-1) satellites, which carry C-band Synthetic Aperture Radar (CSAR) sensors that provide the richest freely available SAR data source so far, unprecedented in accuracy and coverage.

TL;DR: In this paper, the authors review existing Earth observation datasets, models, and algorithms used for irrigation mapping and quantification from the field to the global scale and identify current shortcomings of irrigation monitoring capabilities from space and phrase guidelines for potential future satellite missions and observation strategies.

TL;DR: In this paper, the authors presented a new perspective on Earth's land surface, providing a normalised microwave backscatter map from spaceborne Synthetic Aperture Radar (SAR) observations.

TL;DR: In this paper , a datacube-based flood mapping algorithm was proposed for the Copernicus Sentinel-1 C-band SAR data set, where a globally applicable flood signature was obtained from manually collected wind- and frost-free images.

TL;DR: It is recommended to use data cube processing architectures and showcase the use of the Austrian Data Cube for monitoring a small-scale flood event that occurred in Austria in November 2019.