📣 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.

Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and Machine Learning Approach (2020)

First Author: Bispo P
Attributed to:  NCEO NC ODA Full funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3390/rs12172685

Publication URI: http://dx.doi.org/10.3390/rs12172685

Type: Journal Article/Review

Parent Publication: Remote Sensing

Issue: 17