Quantifying understory vegetation density using multi-temporal Sentinel-2 and GEDI LiDAR data-Reference-Cited by-同舟云学术

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Quantifying understory vegetation density using multi-temporal Sentinel-2 and GEDI LiDAR data

Published:2022-11-17 Issue:1 Volume:59 Page:2068-2083
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Xi Yanbiao¹²³,Tian Qingjiu¹³^ORCID,Zhang Wenmin²,Zhang Zhichao¹³,Tong Xiaoye²,Brandt Martin²,Fensholt Rasmus²

Affiliation:

1. International Institute for Earth System Science, Nanjing University, Nanjing, China

2. Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark

3. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China

Funder

China Postdoctoral Science Foundation

China Scholarship Council

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2148338

Reference63 articles.

1. Crop biomass evaluation using radiometric measurements

2. Mapping Amazon Forest Productivity by Fusing GEDI Lidar Waveforms with an Individual-Based Forest Model

3. Land Cover Classification in Mangrove Ecosystems Based on VHR Satellite Data and Machine Learning—An Upscaling Approach

4. Relationships between Spectral Reflectance and Pigment Concentrations in Stacks of Deciduous Broadleaves

5. Copernicus Global Land Cover Layers—Collection 2

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