activity
20242026
most citedResponsible AI for Earth Observation

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

The role of spatial context and multitask learning in the detection of organic and conventional farming systems based on Sentinel-2 time series

Jan Hemmerling, Marcel Schwieder, Philippe Rufin +4

Organic farming is a key element in achieving more sustainable agriculture. For a better understanding of the development and impact of organic farming, comprehensive, spatially ex…

cs.CV2025

Leveraging AI multimodal geospatial foundation models for improved near-real-time flood mapping at a global scale

Mirela G. Tulbure, Julio Caineta, Mark Broich +6

Floods are among the most damaging weather-related hazards, and in 2024, the warmest year on record, extreme flood events affected communities across five continents. Earth observa…

cs.CV2025

National level satellite-based crop field inventories in smallholder landscapes

Philippe Rufin, Pauline Lucie Hammer, Leon-Friedrich Thomas +5

The design of science-based policies to improve the sustainability of smallholder agriculture is challenged by a limited understanding of fundamental system properties, such as the…

cs.LG2024

Mapping savannah woody vegetation at the species level with multispecral drone and hyperspectral EnMAP data

Christina Karakizi, Akpona Okujeni, Eleni Sofikiti +5

Savannahs are vital ecosystems whose sustainability is endangered by the spread of woody plants. This research targets the accurate mapping of fractional woody cover (FWC) at the s…

cs.CV2024★ 2 cited

Responsible AI for Earth Observation

Pedram Ghamisi, Weikang Yu, Andrea Marinoni +9

The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities. AI's tra…