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528
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ShareScore release 0.7.1
Dataset results
528 results for “Land cover”
2017 Metropolitan France Land Cover Map - CESBIO - OSO
<p>This archive contains the land cover map of metropolitan France for the year 2017 using Sentinel-2 imagery produced by CESBIO. The algorithm description is available in:</p> <p>Inglada, J.; Vincent, A.; Arias, M.; Tardy, B.; Morin, D.; Rodes, I. Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series. Remote Sens. 2017, 9, 95. https://doi.org/10.3390/rs9010095<br> </p>
Satellite-derived land-cover heterogeneity indices for various spatial buffers around 73 research plots on the southern slopes of Mt. Kilimanjaro - V 1.0
<p>The product provides information on the percentage coverage of selected land cover classes in the vicinity of research plots belonging to the DFG Kilimanjaro research group. The coverage has been extracted from a Terra-ASTER based land cover classification.</p> <p>The data set is based on the work of sub-project 1 (Climate Dynamics of the Kilimanjaro Region and Remote Sensing) as part of the DFG research unit 1246 (Kilimanjaro ecosystems under global change).</p> <p>For more information on the sub-project, please visit http://environmentalinformatics-marburg.de/projects/ecological-climatology-and-remote-sensing/</p> <p>Feel free to contact us via ZENODO or send an e-mail to zenodo@environmentalinformatics-marburg.de</p> <p> </p>
Investigating the Combined Impact of Climate Change and Land Use/Land Cover on Flood Vulnerability Using a Machine Learning Algorithm
<p>Using the uploaded code in preparation of the Flood vulnerability maps.</p><p> </p>
Land Cover Dataset
Open the record for dataset details and reuse information.
Land cover at OAL-UK
<p>Shapefile containing the CORINE land cover classes at OAL-UK </p>
Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing
<p>This dataset contains continental (Africa) land cover and impervious surface changes over a long period of time (15 years) using high resolution Landsat satellite observations and Google Earth Engine cloud computing platform. The approach applied here to overcome the computational challenges of handling big earth observation data by using cloud computing can help scientists and practitioners who lack high-performance computational resources. The dataset contains seven classes, prepared annually from 2000 to 2015, using high‐resolution Landsat 7 images (ETM+) and analyzed by Google Earth Engine cloud computing method. The model that generated the LULC classification was evaluated for predictive accuracy across classes as well as overall accuracy. The model achieved an overall accuracy of 88% with class-specific user’s and producer’s accuracies ranged from 84-94% and 79-96% respectively (Midekisa et al., 2017).</p> <p> </p>
Investigating the Combined Impact of Climate Change and Land Use/Land Cover on Flood Vulnerability Using a Machine Learning Algorithm.
<p>The used data in the paper</p>
Investigating the Combined Impact of Climate Change and Land Use/Land Cover on Flood Vulnerability Using a Machine Learning Algorithm.
<p>Flood points and Meteorological data</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.