Assessing the burn severity of wildfires by incorporating vegetation structure information-Reference-Cited by-同舟云学术

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Assessing the burn severity of wildfires by incorporating vegetation structure information

Published:2024-09-11 Issue:1 Volume:15 Page:
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Zheng Zhong¹,Zeng Yaoqiang¹,Zou Bin²,Xie Qinghua³,Xian Wei¹,Xu Weixin¹,Liu Yun⁴,Liu Zhihong¹

Affiliation:

1. College of Resources and Environment, Chengdu University of Information Technology, Chengdu, Sichuan, China

2. School of Geoscience and Info-Physics, Central South University, Changsha, Hunan, China

3. School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

4. Guizhou Ecological and Agricultural Meteorological Center, Guiyang, China

Funder

Sichuan Science and Technology Program

National Natural Science Foundation of China

the Science and Technology Program Project Funds of Qinghai Province

Foundation of Guizhou Science

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2024.2401042

Reference53 articles.

1. Utilizing satellite radar remote sensing for burn severity estimation

2. Random forest in remote sensing: A review of applications and future directions

3. Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment

4. Understanding burn severity sensing in Arctic tundra: exploring vegetation indices, suboptimal assessment timing and the impact of increasing pixel size

5. Modeling the forest fire risk by incorporating a new human activity factor from nighttime light data

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