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Mapping Mangrove Using a Red-Edge Mangrove Index (REMI) Based on Sentinel-2 Multispectral Images

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成果类型:
期刊论文
作者:
Chen, Zhaojun;Zhang, Meng;Zhang, Huaiqing;Liu, Yang
作者机构:
[Zhang, Huaiqing; Liu, Yang] Research Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, China
[Chen, Zhaojun; Zhang, Meng] College of Forestry, Central South University of Forestry and Technology, Changsha, China
语种:
英文
期刊:
IEEE Transactions on Geoscience and Remote Sensing
ISSN:
0196-2892
年:
2023
卷:
61
页码:
1-11
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 41901385) 10.13039/501100004735-Natural Science Foundation of Hunan Province of China (Grant Number: 2022JJ40873) 10.13039/100009377-Education Department of Hunan Province of China (Grant Number: 21A0177)
机构署名:
本校为第一机构
院系归属:
林学院
摘要:
Mangrove forests are among the most productive of coastal ecosystems, providing a variety of ecological functions and economic value to coastal areas around the world. Accurate identification of mangrove is of great importance for the restoration and conservation of mangrove ecosystems and for promoting the development of a blue carbon economy and achieving carbon-neutral strategies. In this study, a red-edge mangrove index (REMI) was proposed based on Sentinel-2 multispectral images, using red, green, red edge, and SWIR1 bands in the form of a...

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