Cargando…
Hyperspectral Inversion of Soil Organic Matter Content Based on a Combined Spectral Index Model
Soil organic matter (SOM) refers to all carbon-containing organic matter in soil and is one of the most important indicators of soil fertility. The hyperspectral inversion analysis of SOM traditionally relies on laboratory chemical testing methods, which have the disadvantages of being inefficient a...
Autores principales: | Wei, Lifei, Yuan, Ziran, Wang, Zhengxiang, Zhao, Liya, Zhang, Yangxi, Lu, Xianyou, Cao, Liqin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285761/ https://www.ncbi.nlm.nih.gov/pubmed/32414203 http://dx.doi.org/10.3390/s20102777 |
Ejemplares similares
-
Estimation of Soil Arsenic Content with Hyperspectral Remote Sensing
por: Wei, Lifei, et al.
Publicado: (2020) -
Estimation of Arsenic Content in Soil Based on Laboratory and Field Reflectance Spectroscopy
por: Wei, Lifei, et al.
Publicado: (2019) -
Improved multivariate modeling for soil organic matter content estimation using hyperspectral indexes and characteristic bands
por: Zhao, Ming-Song, et al.
Publicado: (2023) -
Inversion of Soil Organic Matter Content Based on Improved Convolutional Neural Network
por: Ma, Li, et al.
Publicado: (2022) -
Hyperspectral band selection and modeling of soil organic matter content in a forest using the Ranger algorithm
por: Shi, Yuanyuan, et al.
Publicado: (2021)