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20012026
most citedDeep learning in remote sensing: a review

3.2k citations

Showing 2025Show all

16 papers · 1 filter

cs.LG2025★ 13 cited

Kriging prior Regression: A Case for Kriging-Based Spatial Features with TabPFN in Soil Mapping

Jonas Schmidinger, Viacheslav Barkov, Sebastian Vogel +2

Machine learning and geostatistics are two fundamentally different frameworks for predicting and spatially mapping soil properties. Geostatistics leverages the spatial structure of…

econ.EM2025★ 2 cited

Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists

Arne Henningsen, Guy Low, David Wuepper +4

Most research questions in agricultural and applied economics are of a causal nature, i.e., how one or more variables (e.g., policies, prices, the weather) affect one or more other…

cs.DL2025

Flexible metadata harvesting for ecology using large language models

Zehao Lu, Thijs L van der Plas, Parinaz Rashidi +2

Large, open datasets can accelerate ecological research, particularly by enabling researchers to develop new insights by reusing datasets from multiple sources. However, to find th…

cs.LG2025

Neural Ordinary Differential Equations for Learning and Extrapolating System Dynamics Across Bifurcations

Eva van Tegelen, George van Voorn, Ioannis Athanasiadis +1

Forecasting system behaviour near and across bifurcations is crucial for identifying potential shifts in dynamical systems. While machine learning has recently been used to learn c…

cs.CY2025★ 6 cited

Food safety trends across Europe: insights from the 392-million-entry CompreHensive European Food Safety (CHEFS) database

Nehir Kizililsoley, Floor van Meer, Osman Mutlu +9

In the European Union, official food safety monitoring data collected by member states are submitted to the European Food Safety Authority (EFSA) and published on Zenodo. This data…

cs.LG2025

Continental-scale habitat distribution modelling with multimodal earth observation foundation models

Sara Si-Moussi, Stephan Hennekens, Sander Mucher +6

Habitats integrate the abiotic conditions, vegetation composition and structure that support biodiversity and sustain nature's contributions to people. Most habitats face mounting…