Prediction of the concentration of cadmium in agricultural soil in the Czech Republic using legacy data, preferential sampling, Sentinel-2, Landsat-8, and ensemble models

Author:

Agyeman Prince ChapmanORCID,Borůvka Luboš,Kebonye Ndiye Michael,Khosravi VahidORCID,John Kingsley,Drabek Ondrej,Tejnecky Vaclav

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference99 articles.

1. International Conference on Electrical, Computer, and Energy Technologies;Afrifa,2021

2. Combination of enrichment factor and positive matrix factorization in the estimation of potentially toxic element source distribution in agricultural soil;Agyeman;Environ. Geochem. Health,2022

3. Using spectral indices and terrain attribute datasets and their combination in the prediction of cadmium content in agricultural soil;Agyeman;Comput. Electron. Agric.,2022

4. Using spectral indices and terrain attribute datasets and their combination in the prediction of cadmium content in agricultural soil;Agyeman;Comput. Electron. Agric.,2022

5. Prediction of the concentration of antimony in agricultural soil using data fusion, terrain attributes combined with regression kriging;Agyeman;Environ. Pollut.,2022

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