1k citations · 2.1k across the 39 of their papers we have counts for
6 papers · 2 filters
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild
Burak Ekim, Timo T. Stomberg, Ribana Roscher +1
Antrophonegic pressure (i.e. human influence) on the environment is one of the largest causes of the loss of biological diversity. Wilderness areas, in contrast, are home to undist…
Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting
Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall
Climate change is expected to intensify and increase extreme events in the weather cycle. Since this has a significant impact on various sectors of our life, recent works are conce…
Exploring Self-Attention for Crop-type Classification Explainability
Ivica Obadic, Ribana Roscher, Dario Augusto Borges Oliveira +1
Transformer models have become a promising approach for crop-type classification. Although their attention weights can be used to understand the relevant time points for crop disam…
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER
Jana Kierdorf, Laura Verena Junker-Frohn, Mike Delaney +6
This article presents GrowliFlower, a georeferenced, image-based UAV time series dataset of two monitored cauliflower fields of size 0.39 and 0.60 ha acquired in 2020 and 2021. The…
Exploring Wilderness Characteristics Using Explainable Machine Learning in Satellite Imagery
Timo T. Stomberg, Taylor Stone, Johannes Leonhardt +2
Wilderness areas offer important ecological and social benefits and there are urgent reasons to discover where their positive characteristics and ecological functions are present a…
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision
Maurice Günder, Facundo R. Ispizua Yamati, Jana Kierdorf +3
UAV-based image retrieval in modern agriculture enables gathering large amounts of spatially referenced crop image data. In large-scale experiments, however, UAV images suffer from…