Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux-Reference-Cited by-同舟云学术

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Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux

Published:2018-01 Issue: Volume:204 Page:883-897
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Zhao Kaiguang,Suarez Juan C.,Garcia Mariano,Hu Tongxi,Wang Cheng,Londo Alexis

Funder

Chinese Academy of Sciences

Microsoft Azure Research Award

7th European Community Framework Programme

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference91 articles.

1. Characterizing stand-level forest canopy cover and height using landsat time series, samples of airborne LiDAR, and the random forest algorithm;Ahmed;ISPRS J. Photogramm. Remote Sens.,2015

2. Monitoring selective logging in western Amazonia with repeat lidar flights;Andersen;Remote Sens. Environ.,2014

3. Carnegie Airborne Observatory-2: increasing science data dimensionality via high-fidelity multi-sensor fusion;Asner;Remote Sens. Environ.,2012

4. A universal airborne LiDAR approach for tropical forest carbon mapping;Asner;Oecologia,2012

5. Forest canopy gap distributions in the southern Peruvian Amazon;Asner;PLoS One,2013

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