Effect of spring irrigation on soil salinity monitoring with UAV-borne multispectral sensor

作者：Ning Yang, Shuai Yang, Wenxuan Cui, Zhitao Zhang, Junrui Zhang, Junying Chen, Yu Ma, Congcong Lao, Zhishuang Song, Yinwen Chen · 发表于：International Journal of Remote Sensing · 年份：2021 · DOI：10.1080/01431161.2021.1978579 · 被引用次数：34 · 研究领域：Soil Geostatistics and Mapping、Spectroscopy and Chemometric Analyses、Remote Sensing in Agriculture

Soil salinization is one of the main problems hindering the agricultural development in the arid and semi-arid regions. However, many previous studies of soil salinization monitoring failed to consider the impact of irrigation on soil salinity. To explore such impact, we used a UAV with a portable spectrometer to monitor the dynamic change of soil salinity before and after spring irrigation. In this study, 120 soil samples at the surface (0–10 cm) were taken in Shahaoqu Irrigation Area, Inner Mongolia, China, in mid-April (before spring irrigation) and mid-June (after spring irrigation), and the images of the four study zones A, B, C and D in this area were obtained from the UAV system. Based on these images, 25 spectral covariates (6 spectral bands, 16 spectral indices, and 3 two-dimensional indices) were calculated. Then, the sensitive spectral covariates were selected with such different variable selection methods as variable importance in projection (VIP), competitive adaptive reweighted sampling (CARS), and genetic algorithm (GA). Finally, Multiple Linear Regression (MLR) and BP neural network algorithm (BPNN) was used to establish models for soil salinity inversion, based on which salinity maps of the study area were plotted. The results showed that the soil salinity of the study zone A (covered with vegetation) increased while that of the other three zones decreased after the spring irrigation. The general tendency was: the higher the original soil salinity was, the mo...