📣 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.

Near Real-Time Change Detection System Using Sentinel-2 and Machine Learning: A Test for Mexican and Colombian Forests (2022)

First Author: Pacheco-Pascagaza A
Attributed to:  NCEO Land and Composition in the Earth System funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3390/rs14030707

Publication URI: http://dx.doi.org/10.3390/rs14030707

Type: Journal Article/Review

Parent Publication: Remote Sensing

Issue: 3