Mapping mangrove leaf area index ( <scp>LAI</scp> ) by combining remote sensing images with <scp>PROSAIL‐D</scp> and <scp>XGBoost</scp> methods-Reference-Cited by-同舟云学术

Mapping mangrove leaf area index ( LAI ) by combining remote sensing images with PROSAIL‐D and XGBoost methods

Published:2022-10-25 Issue: Volume: Page:
ISSN:2056-3485
Container-title:Remote Sensing in Ecology and Conservation
language:en
Short-container-title:Remote Sens Ecol Conserv

Author:

Zhao Demei¹²,Zhen Jianing²³,Zhang Yinghui¹²,Miao Jing¹²,Shen Zhen¹²,Jiang Xiapeng¹²,Wang Junjie²³^ORCID,Jiang Jincheng⁴,Tang Yuzhi¹²^ORCID,Wu Guofeng¹²

Affiliation:

1. School of Architecture and Urban Planning Shenzhen University 518060 Shenzhen China

2. MNR Key Laboratory for Geo‐Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services Shenzhen University 518060 Shenzhen China

3. College of Life Sciences and Oceanography Shenzhen University 518060 Shenzhen China

4. Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Wiley

Subject

Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.315

Reference65 articles.

1. Machine learning for neuroimaging with scikit-learn