Estimation of urban scale NPP by using improved CASA model: taking Xuzhou city as an example

doi:10.13474/j.cnki.11-2246.2021.0014

Abstract

Abstract: Due to the characteristics of urban surface Tfeatures, based on different resolution remote sensing data, this paper estimates the NPP of Xuzhou city by using the original and improved CASA, and discusses the improvement of the model and the impact of the spatial resolution of remote sensing image on the estimation results of urban scale NPP. The results show that: ① Urban construction land has a great influence on the estimation results of urban NPP. The improved CASA model zeros the FPAR in construction land, and reduces the estimated value to 15.503 gC·m^-2·month^-1, which effectively removes the impact of construction land on the estimation of NPP in urban areas. ② Low spatial resolution remote sensing data overestimates urban NPP. The average NPP estimated by MOD13Q1+improved CASA model is 18.607 gC·m^-2·month^-1, which is 3.104 gC·m^-2·month^-1 higher than that estimated by Landsat 8 OLI+improved CASA model. The results of this paper provide a new method for NPP estimation at city scale and the scientific basis for carbon sink estimation.

Key words: improved CASA model, unban scale, NPP, spatial resolution, carbon sink

CLC Number:

P208

GENG Di, LIANG Liang, HUANG Ting, YAN Juan, WANG Jiahui, QIU Siyi, WANG Lijuan. Estimation of urban scale NPP by using improved CASA model: taking Xuzhou city as an example[J]. Bulletin of Surveying and Mapping, 2021, 0(1): 78-83,89.

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