Assessment of above-ground Biomass of Grassland using remote sensing,Yili, Xinjiang

doi:10.11686/cyxb2014478

Abstract

Abstract: The relationship between the above-ground biomass of grassland vegetation in Yili, Xinjiang (assessed with cut quadrats) and the normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), altitude, annual precipitation, annual mean temperature, accumulated temperature and dryness and wetness indices was analyzed using regression. Subsequently, an ArcGIS interpolation method was used to map the spatial distribution of above ground biomass of the grassland. There was a strong relationship between above-ground biomass and the independent factors assessed; the multiple regression coefficient (R²) was 0.85 and the RMSE was 216.56 kg/ha. It was concluded that the simulation data used in the study could be used to reliably monitor and assess grassland productivity and dynamics.

ZHANG Xu-Chen, ZHU Hua-Zhong, ZHONG Hua-Ping, CHENG Yao-Dong, JIN Gui-Li, SHAO Xiao-Ming. Assessment of above-ground Biomass of Grassland using remote sensing,Yili, Xinjiang[J]. Acta Prataculturae Sinica, 2015, 24(6): 25-34.

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