Mapping soil organic carbon stocks of different land use types in the Southern Moscow region by applying machine learning to legacy data

Mapping soil organic carbon stocks of different land use types in the Southern Moscow region by applying machine learning to legacy data

This study presents the result of topsoil (010 cm) soil organic carbon (SOC) mapping in two areas of Moscow Region (2007 status): 1096 km2 Podolsky District, and 1101 km2 Serpukhovsky District. Based on 2007 legacy soil sampling data (n= 282) within these areas, we have created astatistical model...

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Bibliographic Details
Main Authors: Yury A. Dvornikov, Lukyan A. Mirniy, Ekaterina S. Mukvich, Kristina V. Ivashchenko
Format: Article
Language:English
Published: Peoples’ Friendship University of Russia (RUDN University) 2024-12-01
Series:RUDN Journal of Agronomy and Animal Industries
Subjects:
landsat
stochastic gradient boosting
relief
soil organic carbon
parameterization
spectral transformation
moscow region
Online Access:https://agrojournal.rudn.ru/agronomy/article/viewFile/20127/16458
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