9 citations · 11 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
Taking it further: leveraging pseudo labels for field delineation across label-scarce smallholder regions
Philippe Rufin, Sherrie Wang, Sá Nogueira Lisboa +3
Transfer learning allows for resource-efficient geographic transfer of pre-trained field delineation models. However, the scarcity of labeled data for complex and dynamic smallhold…