J. Biney

发表

Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview

F. Castaldi, B. Wesemael, E. Vaudour, 2022, Remote. Sens..

The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication

B. Minasny, Y. Ge, E. Ben-Dor, 2022, Remote. Sens..

Using an innovative bivariate colour scheme to infer spatial links and patterns between prediction and uncertainty: an example based on an explainable soil CN ratio model

P. Agyeman, J. Biney, N. Kebonye, 2022, Modeling Earth Systems and Environment.

Trend analysis of global usage of digital soil mapping models in the prediction of potentially toxic elements in soil/sediments: a bibliometric review

L. Borůvka, P. Agyeman, S. Ahado, 2020, Environmental Geochemistry and Health.

Comparison of Field and Laboratory Wet Soil Spectra in the Vis-NIR Range for Soil Organic Carbon Prediction in the Absence of Laboratory Dry Measurements

Lubos Boruvka, Ales Klement, James Kobina Mensah Biney, 2020, Remote. Sens..

Verifying the predictive performance for soil organic carbon when employing field Vis-NIR spectroscopy and satellite imagery obtained using two different sampling methods

J. Biney, 2022, Comput. Electron. Agric..

Does the limited use of orthogonal signal correction pre-treatment approach to improve the prediction accuracy of soil organic carbon need attention?

James Kobina Mensah Biney, Johanna Ruth Blöcher, Luboš Borůvka, 2021 .

Using an innovative bivariate colour scheme to infer spatial links and patterns between prediction and uncertainty: an example based on an explainable soil CN ratio model

P. Agyeman, J. Biney, N. Kebonye, 2022, Modeling Earth Systems and Environment.

Optimized modelling of countrywide soil organic carbon levels via an interpretable decision tree

P. Agyeman, J. Biney, N. Kebonye, 2022, Smart Agricultural Technology.

Source apportionment, contamination levels, and spatial prediction of potentially toxic elements in selected soils of the Czech Republic

James Kobina Mensah Biney, R. Vašát, L. Borůvka, 2020, Environmental Geochemistry and Health.

Exploring the Suitability of UAS-Based Multispectral Images for Estimating Soil Organic Carbon: Comparison with Proximal Soil Sensing and Spaceborne Imagery

Mohammadmehdi Saberioon, Lubos Boruvka, Ales Klement, 2021, Remote. Sens..

Using an ensemble model coupled with portable X-ray fluorescence and visible near-infrared spectroscopy to explore the viability of mapping and estimating arsenic in an agricultural soil.

R. Vašát, L. Borůvka, J. Biney, 2021, The Science of the total environment.

Prediction of topsoil organic carbon content with Sentinel-2 imagery and spectroscopic measurements under different conditions using an ensemble model approach with multiple pre-treatment combinations

R. Vašát, L. Borůvka, A. Klement, 2022, Soil and Tillage Research.

Can in situ spectral measurements under disturbance-reduced environmental conditions help improve soil organic carbon estimation?

R. Vašát, L. Borůvka, Stephen M. Bell, 2022, The Science of the total environment.

Examining the influence of bare soil UAV imagery combined with auxiliary datasets to estimate and map soil organic carbon distribution in an erosion-prone agricultural field.

J. Houška, Jiří Volánek, J. Biney, 2023, The Science of the total environment.