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2 results for “Historical Aerial Images”
Reconstructed Aneto glacier surfaces from historic aerial image photogrammetry (1981) and remote sensing techniques (2020, 2021, 2022)
<p>The Aneto Glacier, is the largest glacier in the Pyrenees. Its shrinkage and wastage have been continuous in recent decades, and there are signs of accelerated melting in recent years. In this study, changes in the surface and ice thickness of the Aneto Glacier from 1981 to 2022 are investigated using historical aerial imagery, airborne LiDAR point clouds, and UAV imagery. A GPR survey conducted in 2020, combined with data from photogrammetric analyses, allowed us to reconstruct the current ice thickness and also the existing ice distribution in 1981 and 2011. Over the last 41 years, the total glaciated area has shrunk by 64.7% and the ice thickness has decreased, on average, by 30.5 m. The mean remaining ice thickness in autumn 2022 was 11.9 m, as against the mean thicknesses of 32.9 m, 19.2 m reconstructed for 1981 and 2011 and 15.0 m observed in 2020 respectively. The results demonstrate the critical situation of the glacier, with an imminent segmentation into two smaller ice bodies and no evidence of an accumulation zone. We also found that the occurrence of an extremely hot and dry year, as observed in the 2021–2022 season, leads to a drastic degradation of the glacier, posing a high risk to the persistence of the Aneto Glacier, a situation that could extend to the rest of the Pyrenean glaciers in a relatively short time. </p>
Craters in Historical Aerial Images (CHAI) Dataset
<p>This dataset contains 99 aerial images from Austria and Germany from 1943 - 1945. There are three versions of the dataset: <strong>CHAI-raw</strong>, <strong>CHAI-full</strong>, and <strong>CHAI-light</strong>. The CHAI-raw contains the original 99 historical aerial images with a Region of Interest (ROI) mask as well as the crater annotations. CHAI-full and CHAI-light are the derived datasets that were used for the evaluation of the paper <strong>"CHAI: Craters in Historical Aerial Images"</strong> presented at <a href="https://wacv2024.thecvf.com/">WACV2024</a>. For both datasets we extracted 960×960 patches with an overlap of 20%, both come with the images in .png format and the train, val, and test as .json files in the COCO style. The difference between the CHAI-full and CHAI-light datasets is that for the light version, all patches without any annotations have been removed, which results in the same amount of annotations, but fewer patches.</p><h2>Technical Details</h2><p>CHAI-raw contains all images unnormalized, additionally, the -info.csv contains the GSD in m, the -mask.png contains the region of interest (only in which craters were annotated), as well as the craters.csv and craters-manual-adapted.csv, which contain the craters and the manually refined craters, details can be found in the original publication. For ease of use, please consider using the derived datasets, which were used for the evaluation of our paper:<br><br>Will be linked once published.</p><p>Please cite the WACV paper when publishing results on these datasets.</p><h2>Access</h2><p>If you would like to request access to these files, please fill out the form below.</p><p>You need to satisfy these conditions in order for this request to be accepted:</p><p>The dataset is freely available for non-commercial research use. In order to get access to the dataset you have to fill in and sign the <a href="https://cvl.tuwien.ac.at/wp-content/uploads/2023/12/Form-Agreement-for-Usage-of-CHAI-Dataset.pdf">usage agreement form</a> and send it to <a href="https://cvl.tuwien.ac.at/staff/marvin-burges/">Marvin Burges</a><a href="mailto:sebastian.zambanini@tuwien.ac.at">.</a></p>
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