Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system

Title
Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system
Authors
Keywords
Hyperspatial imagery, Unmanned aerial system, UAS, Random forests, Riparian forest, Forest health condition, Unmanned Aerial Vehicle, UAV, Multi-temporal remote sensing
Journal
ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume 188, Issue 3, Pages -
Publisher
Springer Nature
Online
2016-02-05
DOI
10.1007/s10661-015-4996-2

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started