Comparing Machine Learning Models and Hybrid Geostatistical Methods Using Environmental and Soil Covariates for Soil pH Prediction

Comparing Machine Learning Models and Hybrid Geostatistical Methods Using Environmental and Soil Covariates for Soil pH Prediction

In the current paper we assess different machine learning (ML) models and hybrid geostatistical methods in the prediction of soil pH using digital elevation model derivates (environmental covariates) and co-located soil parameters (soil covariates). The study was located in the area of Grevena, Gree...

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Bibliographic Details
Main Authors: Panagiotis Tziachris, Vassilis Aschonitis, Theocharis Chatzistathis, Maria Papadopoulou, Ioannis (John) D. Doukas
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
machine learning
geostatistics
hybrid geostatistical methods
soil pH
environmental variables
Online Access:https://www.mdpi.com/2220-9964/9/4/276

Internet

https://www.mdpi.com/2220-9964/9/4/276

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