Mapping Soil Organic Matter Content Based on Feature Band Selection with ZY1-02D Hyperspectral Satellite Data in the Agricultural Region

Soil organic matter (SOM) is an essential nutrient for crop growth and development. Hyperspectral satellite images with comprehensive spectral band coverage and high spectral resolution can be used to estimate and draw a spatial distribution map of SOM content in the region, which can provide a scie...

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Principais autores:	Hengliang Guo, Rongrong Zhang, Wenhao Dai, Xiaowen Zhou, Dujuan Zhang, Yaohuan Yang, Jian Cui
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2022-09-01
סדרה:	Agronomy
נושאים:	soil organic matter hyperspectral satellite data ZY1-02D spectral characteristic selection agricultural region
גישה מקוונת:	https://www.mdpi.com/2073-4395/12/9/2111
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