Application of Hyperspectral Remote Sensing Technology in the Inversion of Cultivated Land Quality

This study focuses on the application of hyperspectral remote sensing technology in the field of cultivated land quality inversion. It systematically expounds the principles and characteristics of this technology, deeply analyzes its specific methods and practical application situations in the inversion of cultivated land quality indicators, and verifies its application effects through actual cases. At the same time, it discusses the challenges faced by this technology in practical applications and its future development directions, aiming to provide strong technical support and theoretical references for the efficient and accurate monitoring of cultivated land quality and the sustainable development of agriculture.

Authors

Publication Details

Journal
Scientific Journal of Technology
Published
2025-03-19
DOI
https://doi.org/10.54691/bwbpa774
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Application of Hyperspectral Remote Sensing Technology in the Inversion of Cultivated Land Quality

Liheng Xia, Hongjian Fan
Scientific Journal of Technology
Remote Sensing and Land Use
article

Application of Hyperspectral Remote Sensing Technology in the Inversion of Cultivated Land Quality

Liheng Xia, Hongjian Fan
article en

Abstract

This study focuses on the application of hyperspectral remote sensing technology in the field of cultivated land quality inversion. It systematically expounds the principles and characteristics of this technology, deeply analyzes its specific methods and practical application situations in the inversion of cultivated land quality indicators, and verifies its application effects through actual cases. At the same time, it discusses the challenges faced by this technology in practical applications and its future development directions, aiming to provide strong technical support and theoretical references for the efficient and accurate monitoring of cultivated land quality and the sustainable development of agriculture.

Scientific Journal of TechnologyVol. 7(3)
Openalex Percentile: Top 89%
Remote Sensing and Land Use
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