New Insights into Remote Sensing of Vegetation Structural Parameters

Kai Yan; Chao Ding; Jianbo Qi

doi:10.3390/f15091555

Forests (Sep 2024)

New Insights into Remote Sensing of Vegetation Structural Parameters

Kai Yan,
Chao Ding,
Jianbo Qi

Affiliations

Kai Yan: Innovation Research Center of Satellite Application (IRCSA), Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Chao Ding: Department of Geographic Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, China
Jianbo Qi: Innovation Research Center of Satellite Application (IRCSA), Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

DOI: https://doi.org/10.3390/f15091555
Journal volume & issue: Vol. 15, no. 9
p. 1555

Abstract

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The accurate and efficient estimation of vegetation structural parameters from remote sensing is a pivotal subject within the field of remote sensing [...]

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Published in Forests

ISSN: 1999-4907 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science: Botany: Plant ecology
Website: http://www.mdpi.com/journal/forests/

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Abstract

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