A Novel Spectral Index for Vegetation Destruction Event Detection Based on Multispectral Remote Sensing Imagery
Author:
Affiliation:
1. State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China
2. Yunnan Innovation Institute of Beihang University, Kunming, China
Funder
National Natural Science Foundation of China
Science and Technology Program of Yunnan Province, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/4609443/10330207/10553233.pdf?arnumber=10553233
Reference70 articles.
1. Integration of Landsat time-series vegetation indices improves consistency of change detection
2. Automating image segmentation for vegetation monitoring
3. Quantifying the contributions of climate change and human activities to vegetation dynamic in China based on multiple indices
4. Dual Influence of Climate Change and Anthropogenic Activities on the Spatiotemporal Vegetation Dynamics Over the Qinghai‐Tibetan Plateau From 1981 to 2015
5. Examining the effects of forest fire on terrestrial carbon emission and ecosystem production in India using remote sensing approaches
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