The Application of Hyperspectral Remote Sensing Technology in the Identification of Soil Heavy Metal Elements
DOI:
https://doi.org/10.54691/3y8z0709Keywords:
Heavy Metal; Hyperspectral Remote Sensing; Soil Contamination; Ecological Restoration.Abstract
This paper reviews the application of hyperspectral remote sensing technology for the identification of heavy metal elements in soil. Highlighting its potential as a rapid and non-destructive monitoring method, the paper discusses the technology's ability to process extensive spectral data, enhanced by artificial intelligence and machine learning algorithms. The research underscores the importance of hyperspectral remote sensing in expanding the scope and efficiency of environmental monitoring and soil quality management. It addresses the challenges faced in practical applications, such as data quality, analysis precision, and environmental factors, and suggests future research directions. These include improving data resolution and accuracy, developing new identification methods, and exploring broader applications in environmental science. The paper concludes that overcoming technical implementation challenges and fostering interdisciplinary research are crucial for the advancement of hyperspectral remote sensing in environmental monitoring.
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