Feb 5, 2015 · The BDF methodology for categorical variables is first described and then applied to a practical case study: the estimation of soil drainage ...

... This approach considers a sub-feature level information fusion mechanism, and has been successfully tested in reconstructing land use images in Hefei (China) ...

Digital Soil Mapping. Digital soil mapping (DSM) is defined as “the creation and population of spatial soil information by the use of field and laboratory ...

Nov 12, 2019 · Studying the spatial structure evolution of soil water content using multivariate geostatistics. Journal of Hydrology, 311(1-4), 202– 218.

Jun 2, 2020 · Multi-sensor data fusion for supervised land-cover classification through a Bayesian set- ... drainage maps are based upon soil water ...

Feb 20, 2019 · In a spatial mapping context, we address in this paper the issue of combining at best soil data coming from legacy soil surveys with soil ...

Feb 8, 2023 · We propose a new architecture based on a fully connected feed-forward Artificial Neural Network (ANN) model to estimate surface soil ...

This paper reviews the current GeoAI and machine learning applications in hydrological and hydraulic modeling, hydrological optimization problems, ...

Jul 14, 2020 · Abstract: Soil erosion is a serious threat to sustainable agriculture, food production, and environmental security.