Articles | Volume 15, issue 17
Model description paper
13 Sep 2022
Model description paper |  | 13 Sep 2022

Improved CASA model based on satellite remote sensing data: simulating net primary productivity of Qinghai Lake basin alpine grassland

Chengyong Wu, Kelong Chen, Chongyi E, Xiaoni You, Dongcai He, Liangbai Hu, Baokang Liu, Runke Wang, Yaya Shi, Chengxiu Li, and Fumei Liu

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Cited articles

Allen, R.G., Pereira, L.S., Raes, D., and Smith, M.: Crop evapotranspiration – guidelines for computing crop water requirements – FAO irrigation and drainage Paper 56, Food and Agriculture Organization of the United Nations, Rome, Italy, (last access: 5 July 2021), 1998. 
Bao, G., Bao, Y., Qin, Z., Xin, X., Bao, Y., Bayarsaikan, S., Zhou, Y., and Chuntai, B.: Modeling net primary productivity of terrestrial ecosystems in the semi-arid climate of the Mongolian Plateau using LSWI-based CASA ecosystem model, Int. J. Appl. Earth Obs., 46, 84–93,, 2016. 
Bouchet, R. J.: Évapotranspiration réelle et potentielle signification climatique, International Association of Hydrological Sciences, 62, 134–142, 1963. 
Cai, Y., Zheng, Y., Wang, Y., and Wu, R.: Analysis of terrestrial net primary productivity by improved CASA model in Three-River Headwaters Region, Journal of Nanjing University of Information Science and Technology (Natural Science Edition), 5, 34–42,, 2013 (in Chinese). 
Chen, J., Cao, X., Peng, S., and Ren, H.: Analysis and Applications of GlobeLand30: A Review, ISPRS Int. J. Geo-Inf., 6, 230​​​​​​​,, 2017. 
Short summary
The traditional Carnegie–Ames–Stanford Approach (CASA) model driven by multisource data such as meteorology, soil, and remote sensing (RS) has notable disadvantages. We drove the CASA using RS data and conducted a case study of the Qinghai Lake basin alpine grassland. The simulated result is similar to published and measured net primary productivity (NPP). It may provide a reference for simulating vegetation NPP to satisfy the requirements of accounting carbon stocks and other applications.