This dataset was developed for the manuscript entitled “A Sentinel-1/2 Benchmark Dataset and Deep Learning Models for Segmenting Intertidal Biogenic Structures in the Lower Saxony Wadden Sea National Park,” which is currently under review. At this stage, the dataset is provided exclusively for editorial and peer-review purposes. It must not be used, copied, redistributed, or cited for research or any other purpose without the authors’ prior written permission. Public access and reuse conditions will be determined after the review process has been completed.
This dataset is associated with the study: "First use of visible-thermal fusion network approach for robust species monitoring in the tropics".A total of 797 fused visible-thermal drone images were collected at Baluran National Park, East Java, Indonesia. The park is a tropical s…
This dataset is associated with the study: "First use of visible-thermal fusion network approach for robust species monitoring in the tropics".A total of 797 fused visible-thermal drone images were collected at Baluran National Park, East Java, Indonesia. The park is a tropical s…
Dataset Description Bitemporal Sentinel-1 & Sentinel-2 Dataset for Deforestation and Forestation Monitoring in Sumatra and Kalimantan Abstract & Overview This dataset provides a large-scale collection of 45,770 remote sensing image tiles specifically curated for bitemporal change…
This dataset contains 10,000 Sentinel-2 true-color image chips for multi-label classification of surface-water, wetland, and riparian landscape features across Germany. Each image is annotated independently with four binary labels: river or canal, standing water, wetland, and rip…
This supplemental dataset supports the study “Benchmarking Centralized and Decentralized Multi-Robot Collaborative SLAM in Real-World Construction Applications.” It contains the experimental data used to benchmark the centralized and decentralized CSLAM architectures in real-worl…