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Article
P. Jain ; D. Marcos ; D. Ienco ; R. Interdonato ; T. Berchoux |Vision–language models (VLMs) have shown significant promise in remote sensing applications, particularly for land-use and land-cover (LULC) mapping via zero-shot classification and retrieval. However, current approaches face several key challen[...]
Actes de Congrès ou Communication isolée
P. Jain ; D. Marcos ; D. Ienco ; R. Interdonato ; A. Dhakal ; N. Jacobs ; T. Berchoux | 2024A major difference between ground-level and satellite imagery of landscapes lies in their semantic granularity: ground-level images tend to offer details on objects and human activities, while satellite images provide broader geographic context [...]
Rapport, Expertise, Working Paper
P. Jain ; D. Ienco ; R. Interdonato ; T. Berchoux ; D. Marcos | 2024This repository contains a curated dataset of Sentinel-2 satellite imagery aligned with the Land Use/Cover Area frame Survey (LUCAS) 2018 dataset. LUCAS, an initiative by the European Union, systematically monitors land use and land cover across[...]
Article
D. Paudel ; A. de Wit ; H. Boogaard ; D. Marcos ; S. Osinga ; I.N. Athanasiadis |Machine learning models for crop yield forecasting often rely on expert-designed features or predictors. The effectiveness and interpretability of these handcrafted features depends on the expertise of the people designing them. Neural networks [...]
