Remote Sensing Evaluation of Cultivated Land Soil Quality in Soda–Saline Soil Areas

Lulu Gao (), Chao Zhang and Cheng Li
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Lulu Gao: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China
Chao Zhang: College of Land Science and Technology, China Agricultural University, Beijing 100083, China
Cheng Li: College of Resources and Environment, Shandong Agricultural University, Taian 271018, China

Land, 2025, vol. 14, issue 10, 1-16

Abstract: Rapid evaluations of farmland soil quality can provide data support for farmland protection and utilization. This study focuses on the soda–saline soil region of Da’an City, Jilin Province, covering an area of 4879 km 2 ; it proposes a framework for evaluating farmland soil quality based on multi-source remote sensing data (Sentinel-2 MSI, GF-5 AHSI hyperspectral and field hyperspectral data). Soil organic matter content, salt content, and pH were selected as indicators of cultivated land soil quality in soda–saline soil areas. A threshold of 20% crop residue cover was set to mask high-cover areas, extracting bare soil information. The spectral indices SI1 and SI2 were utilized to predict the comprehensive grade of soil organic matter + salinity based on the cloud model ( M E c = 0.74 and M E v = 0.68). The pH grade was predicted using the red-edge ratio vegetation index (RVIre) ( M E c = 0.95 and M E v = 0.98). The short-board method was used to construct a soil quality evaluation system. The results indicate that 13.73% of the cultivated land in Da’an City is of high quality (grade 1), 80.63% is of medium quality (grades 2–3), and 5.65% is of poor quality (grade 4). This study provides a rapid assessment tool for the sustainable management of cultivated land in saline–alkali areas at the county level.

Keywords: soil organic matter; soil salinity; pH; county level (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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