Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data-Reference-Cited by-同舟云学术

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Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data

Published:2014-03 Issue: Volume:89 Page:49-58
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Vaglio Laurin Gaia,Chen Qi,Lindsell Jeremy A.,Coomes David A.,Frate Fabio Del,Guerriero Leila,Pirotti Francesco,Valentini Riccardo

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference83 articles.

1. Spectral discrimination of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands using field spectrometry;Adam;ISPRS J. Photogramm. Remote Sens.,2009

2. Integrating waveform LiDAR with hyperspectral imagery for inventory of a northern temperate forest;Anderson;Remote Sens. Environ.,2008

3. Spectral and chemical analysis of tropical forests: scaling from leaf to canopy levels;Asner;Remote Sens. Environ.,2008

4. Environmental and biotic controls over aboveground biomass throughout a tropical rain forest;Asner;Ecosystems,2009

5. High-resolution forest carbon stocks and emissions in the Amazon;Asner;Proc. Nat. Acad. Sci. USA,2010

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1. Spatial pattern of forest aboveground biomass and its environmental influencing factors in Qinling-Daba Mountains, central China;Scientific Reports;2024-09-13

2. Using eddy covariance observations to determine the carbon sequestration characteristics of subalpine forests in the Qinghai–Tibet Plateau;Biogeosciences;2024-08-06

3. Combination of hyperspectral and LiDAR for aboveground biomass estimation using machine learning;Transactions in GIS;2024-07-10

4. Above Ground Biomass Estimation of Individual Urban Trees With Hyperspectral and Lidar Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Forest canopy height modelling based on photogrammetric data and machine learning methods;The Photogrammetric Record;2024-06-04

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