4.6 Article

Monitoring Surface Deformation Associated With Soil Erosion in Loess Plateau With an Improved Small Baseline Subset Interferometric Synthetic Aperture Radar Algorithm

Journal

FRONTIERS IN ENVIRONMENTAL SCIENCE
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fenvs.2022.953442

Keywords

InSAR; soil erosion; Loess Plateau; wind-water erosion crisscross region; meteorological factors

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Soil erosion is a serious environmental problem globally. This article proposes an improved technique for monitoring surface deformation in a wind-water erosion crisscross region in the Loess Plateau, China. The results show that the surface deformation is highly correlated to precipitation and wind, and the proposed model is more suitable for analyzing the deformation in this region.
As a geomorphic process persistently occurring over the earth's surface, soil erosion is one of the most serious environmental problems in the world nowadays, seriously threatening agriculture, natural resources, and ecosystem environments. Monitoring surface deformation associated with soil erosion will help to understand the dynamics of erosion process and the erosion mechanism. In this article, an improved small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) technique is proposed to monitor the surface deformation over the wind-water erosion crisscross region in the Loess Plateau, China. In particular, a new deformation model considering both of the internal factors and external factors of soil erosion is introduced into the SBAS-InASR algorithm. The results show that the cumulative deformation is close to -200 mm during the investigated period. The deformation rate caused by precipitation is between -0.03 and 0.02 mm/mm. When the wind erosion factor changes by 1 unit, the deformation range is approximately -0.3-0.2 mm. Also, researchers found that the surface deformation is highly correlated to precipitation and wind. The root mean square errors (RMSEs) of the residual deformations estimated from the proposed model are smaller than those estimated from the conventional linear and period models, demonstrating that the proposed method is more suitable to model and analyze the surface deformation in wind-water erosion crisscross region.

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