From the 1 of 4 linked papers with an AI index.
4 papers
Self-supervised training for high-resolution close-range multispectral remote sensing imagery
Leon-Friedrich Thomas, Mikael Ãnäkkälä, Antti Lajunen
The paper investigates self‑supervised pretraining of transformer encoders on high‑resolution multispectral UAV images for precision agriculture, showing that MoCo‑v3‑pretrained Sw…
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…