DOAJ Open Access 2025

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

Lulu Gao Chao Zhang Cheng Li

Abstrak

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<sup>2</sup>; 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 (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><msub><mi>E</mi><mi>c</mi></msub></mrow></semantics></math></inline-formula> = 0.74 and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><msub><mi>E</mi><mi>v</mi></msub></mrow></semantics></math></inline-formula> = 0.68). The pH grade was predicted using the red-edge ratio vegetation index (RVIre) (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><msub><mi>E</mi><mi>c</mi></msub></mrow></semantics></math></inline-formula> = 0.95 and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><msub><mi>E</mi><mi>v</mi></msub></mrow></semantics></math></inline-formula> = 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.

Topik & Kata Kunci

Penulis (3)

L

Lulu Gao

C

Chao Zhang

C

Cheng Li

Format Sitasi

Gao, L., Zhang, C., Li, C. (2025). Remote Sensing Evaluation of Cultivated Land Soil Quality in Soda–Saline Soil Areas. https://doi.org/10.3390/land14101986

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Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.3390/land14101986
Akses
Open Access ✓