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Summary of Proposal LAN3416

TitleHighlighting the impacts of oil activities in the Termit and Tin Toumma National Nature Reserve, Niger
Investigator Esch, Thomas - German Aerospace Center, German Remote Sensing Data Center, Land Surface
Team Member
Dr. Esch, Thomas - German Aerospace Center (DLR), Land Surface
Mr. Pinchon, Sébastien - Noé, Pôle International
Dr. Rabeil, Thomas - Sahara Conservation Fund, tbd
Dr. Wegmann, Martin - University of Wuerzburg, Department of Remote Sensing
M.Sc. Bernd, Asja - Universität Bayreuth, Global Change Ecology
SummaryThe Termit and Tin Toumma National Nature Reserve is home of the last wild viable population of Addax antilopes, yet human activities, and especially oil extraction, within and in close proximity to the reserve have been putting pressure on addax and other wildlife since they began in 2008. The activities take place over large areas, and while their impact has been documented during field surveys, complete coverage on the ground is not possible. This study therefore aims at quantifying and mapping these impacts, and how they have developed over time, using remote sensing techniques. While optical remote sensing data have been proven useful to detect oil extraction sites, e.g. through oil flares or texture analyses, the related infrastructure, such as wells, tracks or small-scale waste sites cannot be detected using medium resolution imagery, such as Landsat. To be able to quantify the impacts of oil extraction as comprehensively as possible, the study aims at combining optical RS data with VHR radar data, as well as the Global Urban Footprint developed at DLR. The methods applied will be texture analyses and land cover classification to distinguish the affected area. As the activities started in 2008, will cover the years 2007 and 2015, and examine the development over time. Data needed are images from around early 2007 and around 2015/16. Optical data will be used for the temporal analysis, while SAR data will be tested in comparison and combination mit multispectral data for the later time-step with the following specifications: single-polarised data in SpotLight, StripMap or ScanSAR mode with multi-looking ground detected projection with spatial enhancement. The analysis is part of a larger project focusing on sustainable management of protected areas in Niger and Chad, in which Noé and SCF are engaging together. The resulting land cover maps and statistics will be compiled in an atlas comprising maps as well as statistical information, which will used as a decision-making tool and for communication with the different stakeholders, including the oil companies. The study is funded (staff costs) through the Agence Francaise de Développement.

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