22 citations as recorded by crossref.

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2. Multilevel small-area childhood stunting risk estimation: Insights from spatial ensemble learning, agro-ecological and environmentally remotely sensed indicators G. Nduwayezu et al.
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4. Phenotyping maize stay green traits via in situ leaf hyperspectral reflectance sensing H. Elsharawy et al.
5. The utility of combining deep learning with metabarcoding to model biodiversity dynamics at a national scale A. Baggström et al.
6. An assessment of spatial random forests for environmental mapping: the case of groundwater nitrate concentration J. Frank et al.
7. Machine learning for predictive mapping of exceedance probabilities for potentially toxic elements in Czech farmland J. Skála et al.
8. Limited microclimatic buffering capacity in boreal forests calls for sustainable management strategies I. Starck et al.
9. Summer foraging habitat suitability for highly mobile male beluga whales in the Eastern Beaufort Sea and Arctic Archipelago L. Storrie et al.
10. Moving Beyond Temperature Metrics in Coral Bleaching Prediction Using Interpretable Machine Learning M. Cheung et al.
11. Disentangling Climatic and Surface-Physical Drivers of the Urban Heat Island Using Explainable AI Across U.S. Cities O. Aljarrah & D. Goulias
12. Urban Heat Mapping Strategies for Predicting Near-Surface Air Temperature in Unsampled Cities in Iowa M. Ecker et al.
13. Importance ranking of data and model uncertainties in quantile regression forest-based spatial predictions when data are sparse, imprecise and clustered J. Rohmer
14. Downscaling local distribution of cattle over Guadeloupe archipelago: An adapted method for disaggregating census data V. Dufleit et al.
15. Harnessing vegetation indices and remote sensing to assess the impact of Cyclone Kenneth on banana plantations: Insights from Ngazidja Island (Comoros) A. Abdoussalami et al.
16. A geographically weighted XGBoost framework for Pixel-Level modeling of vegetation responses using Multi-Source Earth Observation data Y. Khosravi & T. Ouarda
17. An interpretable machine learning approach for alkalinity reconstruction in the Mediterranean Sea T. Tonelli et al.
18. Kriging prior regression: A case for kriging-based spatial features with TabPFN in soil mapping J. Schmidinger et al.
19. Spatial autocorrelation in machine learning for modelling soil organic carbon A. Kmoch et al.
20. Deciphering environmental determinants of soil metals in dust-influenced arid soils through interpretable models across data-availability scenarios Z. Ebrahimi-Khusfi et al.
21. Predictive Modeling and Simulation of CO2 Trapping Mechanisms: Insights into Efficiency and Long-Term Sequestration Strategies O. Ejehu et al.
22. Predicting thermal trends in smart buildings using machine learning: a case study C. Mejía Rodriguez et al.