Sentinel-2 Satellite Imagery for Retrieving and Mapping Soil Properties Using Machine Learning

Mohamed E. S. Amin; Mahmoud A. Abdelfattah; Elsayed Said Mohamed; Mohsen Nabil; Abdel-Aziz Belal; Sayed Ahmed; Ehab Samir; Ali Mahmoud

doi:10.1007/978-3-031-40447-4_32

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Sentinel-2 Satellite Imagery for Retrieving and Mapping Soil Properties Using Machine Learning

Mohamed E. S. Amin Mahmoud A. Abdelfattah Elsayed Said Mohamed Mohsen Nabil Abdel-Aziz Belal Sayed Ahmed Ehab Samir Ali Mahmoud

Year: 2023 Springer proceedings in earth and environmental sciences Pages: 281-288 Publisher: Springer International Publishing

DOI: 10.1007/978-3-031-40447-4_32

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Keywords:

Silt Random forest Mean squared error Machine learning Artificial intelligence Soil science Environmental science Computer science Remote sensing Mathematics Geology Statistics

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Soil Geostatistics and Mapping

Physical Sciences → Environmental Science → Environmental Engineering

Geochemistry and Geologic Mapping

Physical Sciences → Computer Science → Artificial Intelligence

Soil and Land Suitability Analysis

Physical Sciences → Environmental Science → Management, Monitoring, Policy and Law

Sentinel-2 Satellite Imagery for Retrieving and Mapping Soil Properties Using Machine Learning

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