Estimation of gross primary production in Moso bamboo forest based on light-use efficiency derived from MODIS reflectance data-Reference-Cited by-同舟云学术

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Estimation of gross primary production in Moso bamboo forest based on light-use efficiency derived from MODIS reflectance data

Published:2017-09-25 Issue:1 Volume:39 Page:210-231
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Shi Yongjun¹²³,Xu Xiaojun¹²³,Du Huaqiang¹²³,Zhou Guomo¹²³,Zhou Yufeng¹²³,Mao Fangjie¹²³,Li Xuejian²³,Zhu Dien²³

Affiliation:

1. State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Lin’an, China

2. Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A & F University, Lin’an, China

3. School of Environmental and Resources Science, Zhejiang A & F University, Lin’an, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1382747

Reference66 articles.

1. Improved estimations of gross primary production using satellite-derived photosynthetically active radiation

2. Assessing eddy-covariance flux tower location bias across the Fluxnet-Canada Research Network based on remote sensing and footprint modelling

3. Changes of carbon stocks in bamboo stands in China during 100 years

4. Impacts of light use efficiency and fPAR parameterization on gross primary production modeling

5. Comparison of MODIS, eddy covariance determined and physiologically modelled gross primary production (GPP) in a Douglas-fir forest stand

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1. The Rationality of Compiling a Forest Resource Balance Sheet;Forest Products Journal;2021-10-01

2. Understanding the Land Surface Phenology and Gross Primary Production of Sugarcane Plantations by Eddy Flux Measurements, MODIS Images, and Data-Driven Models;Remote Sensing;2020-07-08

3. Combined MODIS land surface temperature and greenness data for modeling vegetation phenology, physiology, and gross primary production in terrestrial ecosystems;Science of The Total Environment;2020-07

4. Remote sensing for updating the boundaries between the brazilian Cerrado-Amazonia biomes;Environmental Science & Policy;2019-11

5. Seasonality of gross primary production in the Atlantic Forest of Brazil;Global Ecology and Conservation;2018-04

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