TRANCO: Thermo radiometric normalization of crop observations by Juanma Cintas, Belen Franch, Kristof Van-Tricht, Hendrik Boogaard, Jeroen Degerickx, Inbal Becker-Reshef, Italo Moletto-Lobos, Bertran Mollà-Bononad, Jose A. Sobrino, Sven Gilliams, Zoltan Szantoi

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Combining machine learning and environmental covariates for mapping of organic carbon in soils of Russia by Andrey Chinilin, Igor Yu. Savin

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Benchmarking data handling strategies for landslide susceptibility modeling using random forest workflows by Guruh Samodra, Ngadisih, Ferman Setia Nugroho

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Examining the Spatially Varying Relationships between Landslide Susceptibility and Conditioning Factors Using a Geographical Random Forest Approach: A Case Study in Liangshan, Chin... by Xiaoliang Dai, Yunqiang Zhu, Kai Sun, Qiang Zou, Shen Zhao, Weirong Li, Lei Hu, Shu Wang

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Improving spatial transferability of deep learning models for small-field crop yield prediction by Stefan Stiller, Kathrin Grahmann, Gohar Ghazaryan, Masahiro Ryo

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Random Cross-Validation Produces Biased Assessment of Machine Learning Performance in Regional Landslide Susceptibility Prediction by Chandan Kumar, Gabriel Walton, Paul Santi, Carlos Luza

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Spatial Transferability of Random Forest Models for Crop Type Classification Using Sentinel-1 and Sentinel-2 by Aiym Orynbaikyzy, Ursula Gessner, Christopher Conrad

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