Application of hyperspectral remote sensing technology in the inversion cultivated land quality

doi:10.13474/j.cnki.11-2246.2024.0522

Abstract

Abstract: This article estimates the related indicators of farmland quality based on hyperspectral image. The study area is in the northeastern plain of Shijiazhuang city,Hebei province. Based on the preprocessed ZY-1 02D hyperspectral remote sensing image,which underwent radiometric and geometric correction,a total of 110 surface soil samples within the image coverage were collected and subjected to physical and chemical analysis to obtain data on the content of farmland quality-related indicators. The inversion models for farmland quality-related indicators are established using the Hapke model,CARS method,and SVM model. Validation with 70% of the modeling samples and 30% of the prediction samples showed relatively high accuracy for hydrolyzable nitrogen and organic matter,confirming the application value of hyperspectral remote sensing technology for the inversion of soil organic matter and nutrient indicators.

Key words: ZY-1 02D, hyperspectral remote sensing, farmland quality, Hapke model

CLC Number:

P237

WANG Chenzhe, LIU Zhaoxian, FU Lizhao. Application of hyperspectral remote sensing technology in the inversion cultivated land quality[J]. Bulletin of Surveying and Mapping, 2024, 0(5): 127-132.

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