Reliability of using vegetation optical depth for estimating decadal and interannual carbon dynamics-Reference-Cited by-同舟云学术

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Reliability of using vegetation optical depth for estimating decadal and interannual carbon dynamics

Published:2023-02 Issue: Volume:285 Page:113390
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Dou Yujie,Tian Feng,Wigneron Jean-Pierre,Tagesson Torbern,Du Jinyang,Brandt Martin,Liu Yi,Zou Linqing,Kimball John S.,Fensholt Rasmus

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference69 articles.

1. Asymmetric responses of ecosystem productivity to rainfall anomalies vary inversely with mean annual rainfall over the conterminous United States;Al-Yaari;Glob. Change Biol.,2020

2. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps;Baccini;Nat. Clim. Change,2012

3. Satellite passive microwaves reveal recent climate-induced carbon losses in African drylands;Brandt;Nat. Ecol. Evol.,2018

4. Copernicus global land cover layers—collection2;Buchhorn;Remote Sens.,2020

5. Temperature response of soil respiration largely unaltered with experimental warming;Carey;Proc. Natl. Acad. Sci. U. S. A.,2016

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2. Desert oasis vegetation information extraction by PLANET and unmanned aerial vehicle image fusion;Ecological Indicators;2024-09

3. Satellite-based monitoring of China's above-ground biomass carbon sink from 2015 to 2021;Agricultural and Forest Meteorology;2024-09

4. Global L-band equivalent AI-based vegetation optical depth dataset;Scientific Data;2024-08-28

5. Temperature Is Likely an Important Omission in Interpreting Vegetation Optical Depth;Geophysical Research Letters;2024-07-30

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