Digital mapping of indicators that determine the sorption properties of soils in relation to pollutants, according to remote sensing data of the Earth using machine learning
According to the data of remote sensing of the Earth, the accuracy of the spatial prediction of soil indicators determining sorption properties in relation to pollutants was compared. To build spatial maps of changes in soil properties, machine learning methods based on support vector regression mod...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Georesursy Ltd.
2024-04-01
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| Series: | Georesursy |
| Subjects: | |
| Online Access: | https://www.geors.ru/jour/article/view/157 |
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