📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Towards global flood mapping onboard low cost satellites with machine learning. (2021)

First Author: Mateo-Garcia G

Attributed to: Astro-ecology: the solution from the skies to save Earth's biodiversity funded by GCRF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1038/s41598-021-86650-z

PubMed Identifier: 33790368

Publication URI: http://europepmc.org/abstract/MED/33790368

Type: Journal Article/Review

Volume: 11

Parent Publication: Scientific reports

Issue: 1

ISSN: 2045-2322