Random Forest Variable Importance Spectral Indices Scheme for Burnt Forest Recovery Monitoring—Multilevel RF-VIMP-Reference-Cited by-同舟云学术

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Random Forest Variable Importance Spectral Indices Scheme for Burnt Forest Recovery Monitoring—Multilevel RF-VIMP

Published:2018-05-23 Issue:6 Volume:10 Page:807
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Boonprong Sornkitja,Cao Chunxiang,Chen Wei^ORCID,Bao Shanning

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/10/6/807/pdf

Reference49 articles.

1. Remote Sensing Applications of Wildland Fire and Air Quality in China;Qu;Dev. Envi. Sci.,2016

2. Changes of Forest Fire Danger and the Evaluation of the FWI System Application in the Daxing’ anling Region;Tian;Sci. Silv. Sin.,2010

3. Burn severity estimation from remotely sensed data: Performance of simulation versus empirical models

4. Long-Term Satellite Detection of Post-Fire Vegetation Trends in Boreal Forests of China

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