Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest

Title
Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest
Authors
Keywords
Synthetic aperture radar, Sentinel-1, Time series, Amazon, LULC, Land use, Deforestation drivers, Urban
Publisher
Elsevier BV
Online
2020-09-04
DOI
10.1016/j.jag.2020.102214

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started