4 papers
Self-supervised training for high-resolution close-range multispectral remote sensing imagery
Leon-Friedrich Thomas, Mikael Änäkkälä, Antti Lajunen
Although self-supervised learning (SSL) offers a promising way to reduce annotation effort in close-range remote sensing, its effectiveness for high-resolution multispectral unmann…
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…