Perimeter-Area Soil Carbon Index (PASCI): modeling and estimating soil organic carbon using relevant explicatory waveband variables in machine learning environment

Perimeter-Area Soil Carbon Index (PASCI): modeling and estimating soil organic carbon using relevant explicatory waveband variables in machine learning environment

ABSTRACTSoil Organic Carbon (SOC) is the most important indicator of soil health and determines long-term crop productivity. Here, we applied the Random Forest regression model to soil hyperspectral data to determine the important spectral bands and regions for SOC retrieval. Multiple existing studi...

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Bibliographic Details
Main Authors: Eric Ariel L. Salas, Sakthi Subburayalu Kumaran
Format: Article
Language:English
Published: Taylor & Francis Group 2023-05-01
Series:Geo-spatial Information Science
Subjects:
Soil carbon index
hyperspectral index
random forest
soil carbon prediction
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2023.2211612

Internet

https://www.tandfonline.com/doi/10.1080/10095020.2023.2211612

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