Multi-source data integration for soil mapping using deep learning
<p>With the advances of new proximal soil sensing technologies, soil properties can be inferred by a variety of sensors, each having its distinct level of accuracy. This measurement error affects subsequent modelling and therefore must be integrated when calibrating a spatial prediction model....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-03-01
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| Series: | SOIL |
| Online Access: | https://www.soil-journal.net/5/107/2019/soil-5-107-2019.pdf |