Soil monitoring data of three organic pollutants at the contaminated site in northern China
Abstract
Based on sparse soil sampling data, data augmentation techniques are used in combination with deep learning models to accurately identify the spatial distribution of soil pollutants at contaminated sites.
Fields of Study & Subjects
Soil Geostatistics and Mapping
Heavy metals in environment
Environmental and Analytical Chemistry Studies
Publication details
- Journal / source
- Figshare
- Publication date
- 1 March 2026
- Language
- EN
- Document type
- Dataset