Author(s): Pengbo Zhao; Weiwei Xu; Mei Ma; Xin Li

Linked Author(s):

Keywords: Hyper-arid zone; Remote sensing technology; Normalized Difference Vegetation Index; Grey System Theory

Abstract: With the continuous development of remote sensing and soil moisture monitoring technologies, new technical have been provided for the allocation and regulation of agricultural water resources, facilitating the exploration of the spatiotemporal evolution of NDVI (Normalized Difference Vegetation Index) in extremely arid regions and its correlation with soil moisture content. We selected the Kekeya Irrigation District in Turpan, Xinjiang as the study area, and conducted an analysis of the spatiotemporal evolution of NDVI and the correlation between soil moisture content in different soil layers, based on Landsat 8 remote sensing images and long-term soil moisture monitoring data. The trend analysis method and Grey Relational Analysis method were employed for this analysis. The results show that NDVI exhibits a negative correlation trend from March to October, with grape crops showing the most significant trend. The ranking of soil moisture content influencing NDVI changes varies with soil depth, with the order being: 60 cm > 20 cm > 10 cm > 40 cm. By integrating remote sensing imagery with soil moisture monitoring instruments, information technology means can further enhance the management level of irrigation districts, providing reference for water resource conservation in irrigation districts.

DOI: https://doi.org/10.3850/iahr-hic2483430201-365

Year: 2024