A global moderate resolution dataset of gross primary production of vegetation for 2000–2016

• Published in: Scientific data Vol. 4; no. 1; p. 170165
• Main Authors: Zhang, Yao, Xiao, Xiangming, Wu, Xiaocui, Zhou, Sha, Zhang, Geli, Qin, Yuanwei, Dong, Jinwei
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 24.10.2017; Nature Publishing Group
• Subjects: 704/106/47/4113; 704/106/694; 704/158; Carbon cycle; Climate change; Climate prediction; Computer applications; Data Descriptor; Datasets; Humanities and Social Sciences; multidisciplinary; Photosynthesis; Primary production; Science; Vegetation

Accurate estimation of the gross primary production (GPP) of terrestrial vegetation is vital for understanding the global carbon cycle and predicting future climate change. Multiple GPP products are currently available based on different methods, but their performances vary substantially when valida...