Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data

Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data

Most studies have the achieved rapid and accurate determination of soil organic carbon (SOC) using laboratory spectroscopy; however, it remains difficult to map the spatial distribution of SOC. To predict and map SOC at a regional scale, we obtained fourteen hyperspectral images from the Gaofen-5 (G...

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Bibliographic Details
Main Authors: Xiangtian Meng, Yilin Bao, Jiangui Liu, Huanjun Liu, Xinle Zhang, Yu Zhang, Peng Wang, Haitao Tang, Fanchang Kong
Format: Article
Language:English
Published: Elsevier 2020-07-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Soil organic carbon
Hyperspectral satellite data
Discrete wavelet analysis
Spectral index
Mapping
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243419313418

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http://www.sciencedirect.com/science/article/pii/S0303243419313418

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