1204408
doi
10.5281/zenodo.1204408
oai:zenodo.org:1204408
user-savmap
Parkan, Matthew
Laboratory of Geographical Information Systems (LASIG), School of Architecture, Civil and environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 18, Lausanne, Switzerland
Produit, Timothée
Laboratory of Geographical Information Systems (LASIG), School of Architecture, Civil and environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 18, Lausanne, Switzerland
Betschart, Sonja
Drone Adventure, Lausanne, Switzerland, droneadventures.org/
Bacchilega, Beatrice
Laboratory of Geographical Information Systems (LASIG), School of Architecture, Civil and environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 18, Lausanne, Switzerland
Hauptfleisch, Morgan L.
Department of Nature Conservation, School of Natural Resources and Tourism, Polytechnic of Namibia, Private Bag 13388, Windhoek, Namibia
Meier, Patrick
Qatar Computing Research Institute & iRevolution.net
SAVMAP, Consortium
http://lasig.epfl.ch/savmap
Joost, Stéphane
Laboratory of Geographical Information Systems (LASIG), School of Architecture, Civil and environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 18, Lausanne, Switzerland
Near real-time ultrahigh-resolution imaging from unmanned aerial vehicles for sustainable land use management and biodiversity conservation in semi-arid savanna under regional and global change (SAVMAP)
Reinhard, Friedrich
Kuzikus.org, P.Bag 13112 Windhoek, Namibia
info:eu-repo/semantics/openAccess
Academic Free License v3.0
http://www.rosenlaw.com/AFL3.0.htm
savanna
sustainable resource management
ultrahigh-resolution photographic imaging
conservation
remote sensing
animal detection
<p>To prevent aggravation of existing poverty in semi-arid savannas, a comprehensive concept for the sustainable adaptive management and use of these ecosystems under unprecedented conditions is needed. SAVMAP is an innovative, trans-, and inter-disciplinary initiative whose goal is to develop a valuable monitoring tool for both sustainable land-use management and rare species conservation (black rhinoceros) in semi-arid savanna in Namibia. SAVMAP uses near real-time ultrahigh-resolution photographic imaging (NURI) facilitated by unmanned aerial vehicles (UAVs) designed at EPFL.</p>
The dataset proposed here was acquired in May 2014 and contains:
-Raw aerial images (non-rectified) in JPEG format. Additional metadata about individual images (timestamp, latitude, longitude, altitude, etc) can be extracted from the EXIF. Each image is named with a Universally Unique Identifier.
-Polygons indicating the locations of animals tagged during the Micromappers crowdsourcing campaign (please be aware that the polygons contain many false positives and should not be directly used as a "ground truth"). The coordinates of the polygons use the image reference system (i.e. column and row number). Each polygon has a Universally Unique Identifier (TAGUUID) and an associated image (IMAGEUUID). Information about the animal species in each polygon is currently not available. The polygons are provided in the ESRI shapefile and GEOJSON formats.
Zenodo
2015-03-29
info:eu-repo/semantics/other
609023
user-savmap
2.0
1554867605.928997
3509832128
md5:f87bd2ace593ec742fb03fd91975d566
https://zenodo.org/records/1204408/files/savmap_dataset_v2.zip
860
md5:4abf4636b87b486e0adcfe00ec6975b4
https://zenodo.org/records/1204408/files/readme.txt
public
10.5281/zenodo.609023
isVersionOf
doi