An improved phenology-based CASA model for estimating net primary production of forest in central China based on Landsat images
Author:
Affiliation:
1. Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China
2. University of Chinese Academy of Sciences, Beijing, China
3. Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Province, Wuhan, China
Funder
the "Strategic Priority Research Program—Climate Change: Carbon Budget and Related Issues" of the Chinese Academy of Sciences
the "Science and Technology Service Network Initiative" of the Chinese Academy of Sciences
the National Natural Science Foundation of China
the “Science and Technology Service Network Initiative” of the Chinese Academy of Sciences
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1478464
Reference68 articles.
1. Heterogeneity of light use efficiency in a northern Wisconsin forest: implications for modeling net primary production with remote sensing
2. Changes in net primary production in the Tianmu Mountain Nature Reserve, China, from 1984 to 2014
3. A modeling and spatio-temporal analysis framework for monitoring environmental change using NPP as an ecosystem indicator
4. GLOBAL POTENTIAL NET PRIMARY PRODUCTION PREDICTED FROM VEGETATION CLASS, PRECIPITATION, AND TEMPERATURE
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