Spatial and temporal evolution and multidimensional driving factors of NPP in Hubei Province

Dandan Liu; Wei Hu; Jian Zhao; Jiangshun Yu; Rong Yu; Hui Zhang; Yu Wu

doi:10.1117/12.3049052

27 November 2024 Spatial and temporal evolution and multidimensional driving factors of NPP in Hubei Province

Dandan Liu, Wei Hu, Jian Zhao, Jiangshun Yu, Rong Yu, Hui Zhang, Yu Wu

Proceedings Volume 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024); 134023F (2024) https://doi.org/10.1117/12.3049052
Event: International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 2024, Zhengzhou, China

Abstract

Based on the MODIS Net Primary Productivity (NPP) data from 2000 to 2014, the spatial and temporal evolution of NPP and its multi-dimensional driving factors in Hubei Province were quantitatively analyzed by using RS and GIS technology. The results show that: 1) The annual NPP in Hubei province presents the increasing trend in space, from north to south, which the NPP value is higher at the southwest mountainous and east region, while the northwest is the lowest. In the past 15 years, the annual NPP in Hubei Province showed a slight decline, with the maximum in 2002 and the minimum in 2001 and 2011, which was 494gC m^-2a^-1. 2) The annual average NPP was significantly positively correlated with the annual average rainfall, and had no significant correlation with the annual average temperature. However, the NPP reached the maximum when the annual average temperature was 16-16.5°C.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dandan Liu, Wei Hu, Jian Zhao, Jiangshun Yu, Rong Yu, Hui Zhang, and Yu Wu "Spatial and temporal evolution and multidimensional driving factors of NPP in Hubei Province", Proc. SPIE 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 134023F (27 November 2024); https://doi.org/10.1117/12.3049052

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