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

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

Understory vegetation contributes considerably to biodiversity and total aboveground biomass of forest ecosystems. Whereas field inventories and LiDAR data are generally used to estimate understory vegetation density, methods for large-scale and spatially continuous estimation of understory vegetati...

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Bibliographic Details
Main Authors: Yanbiao Xi, Qingjiu Tian, Wenmin Zhang, Zhichao Zhang, Xiaoye Tong, Martin Brandt, Rasmus Fensholt
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:GIScience & Remote Sensing
Subjects:
understory vegetation
gedi lidar data
plant area volume density
support vector regression
Online Access:http://dx.doi.org/10.1080/15481603.2022.2148338

Internet

http://dx.doi.org/10.1080/15481603.2022.2148338

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