Inversion Methods of Soil Hydraulic Parameters Based on Hyperspectral Characteristics

To enrich remote inversion methods of soil hydraulic parameters and achieve a fast and nondestructive prediction, 59 high-spectral in-situ soil samples in Xiangzhou District, Zhuhai City, were collected using Field Spec4 spectrometer. The remote hydraulic parameter models were established for two la...

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Detalhes bibliográficos

Principais autores:	WU Yanmei, ZHU Han, LI Ji, LI Zixin, HE Jianliang, LIN Kairong, ZHUANG Luwen, DONG Chunyu
Formato:	Artigo
Idioma:	Chinês
Publicado em:	Editorial Office of Pearl River 2025-07-01
coleção:	Renmin Zhujiang
Assuntos:	unsaturated soils hydraulic parameters spectrum machine learning remote sensing inversion
Acesso em linha:	http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2025.07.010
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