Development of soil water content retrieving method for irrigation agriculture areas using the red-edge band of Gaofen-6 satellite

• Published in: Agricultural water management 2024-10, Vol.303, p.109045, Article 109045
• Main Authors: Wang, Rong, Zhao, Hongli, Zhang, Chi, Hao, Zhen, Chen, Aiqi, Xu, Ran, He, Junyan
• Format: Article
• Language: English
• Subjects: Gaofen-6 Satellite; Red-Edge Band; Sentinel-2; Soil Water Content; Soil Water Index; Spectral Space
• ISSN: 0378-3774; 1873-2283
• DOI: 10.1016/j.agwat.2024.109045

Soil water content (SWC) is an essential index that reflects water conditions in the soil surface during drought, and changes in SWC are critical in guiding agricultural irrigation management. Remote sensing is a crucial means of monitoring SWC, and the red and near-infrared bands of optical remote sensing data are often used to monitor SWC through remote sensing retrieval. With the development of remote sensing technology, red-edge band has also been used to retrieve SWC. It exhibits higher sensitivity to changes in vegetation and SWC, relatively more precise differentiation between vegetation and soil, and more accurate SWC detection. However, there has been relatively little research regarding the use of the red-edge band for retrieving SWC. In this study, we developed a novel method, based on the principle of spectral space and the calculation of modified perpendicular drought index, to calculate the soil water index using the red-edge band of the Gaofen-6 (GF-6) satellite by comparing the retrieval accuracy of GF-6 using different combinations of red, near-infrared, and red-edge bands. Based on the measured SWC in the Shijin Irrigation District of Hebei Province, an SWC retrieval model was established using linear regression. Moreover, the new method was used to retrieve SWC from GF-6 and Sentinel-2 with the same central wavelength, and the reliability of the new method was compared and analyzed. The results revealed that the combination of red band and red-edge band 2 with a central wavelength of 0.74 μm substantial. improved the retrieval accuracy of SWC. Our study provides a new method for retrieving SWC using optical remote sensing, which can effectively improve retrieval accuracy and provide data support for agricultural irrigation monitoring and water management. •SWC sensitivity is evaluated using various band combinations in spectral space.•A novel Soil Water Index (SWI) is developed using three specific band combinations.•SWI reliability is validated by demonstrating with Sentinel-2, which has the same central wavelength as GF6.