Hyperspectral remote sensing for soil heavy metal inversion: insights and applications

Researchers worldwide have increasingly recognised hyperspectral remote sensing (HRS) for its extensive coverage and high efficiency in monitoring the spatiotemporal distribution of soil heavy metal (SHM). However, accurately estimating SHM concentrations using HRS remains a significant challenge be...

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מידע ביבליוגרפי

Principais autores:	Yi Su, Boyan Li, Jing Li, Bin Guo, Qi Feng
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Taylor & Francis Group 2025-08-01
סדרה:	International Journal of Digital Earth
נושאים:	Hyperspectral remote sensing Soil heavy metal Machine learning Air-space-ground integration
גישה מקוונת:	https://www.tandfonline.com/doi/10.1080/17538947.2025.2520474
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