Open data and open source for remote sensing training in ecology |
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| Institution: | 1. Center Agriculture Food Environment, University of Trento, Via E. Mach 1, S. Michele all’Adige 38010, TN, Italy;2. Centre for Integrative Biology, University of Trento, Via Sommarive, 14, Povo 38123, TN, Italy;3. Fondazione Edmund Mach, Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Via E. Mach 1, S. Michele all’Adige 38010, TN, Italy;4. Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, 2800 Faucette Drive, Raleigh, NC 27695, USA;5. Center for Geospatial Analytics, North Carolina State University, 2800 Faucette Drive, Raleigh, NC 27695, USA;6. Center for Biodiversity and Conservation, American Museum of Natural History, New York, NY 10024, USA;7. mundialis GmbH & Co. KG, Koelnstrasse 99, Bonn 53111, Germany;8. University of Wuerzburg, Department of Remote Sensing, Oswal-Kuelpe Weg 86, Würzburg 97074, Germany;1. Center for Environmental Management of Military Lands, Colorado State University, Fort Collins, CO 80523-1490, United States;2. Institute for Environmental Sciences, University of Koblenz-Landau, D-76829 Landau, Germany;3. Department of Disturbance Ecology, Bayreuth Center of Ecology and Environmental Research, University of Bayreuth, D-95440 Bayreuth, Germany;4. Department of Biogeography, Bayreuth Center of Ecology and Environmental Research, University of Bayreuth, D-95440 Bayreuth, Germany |
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| Abstract: | Remote sensing is one of the most important tools in ecology and conservation for an effective monitoring of ecosystems in space and time. Hence, a proper training is crucial for developing effective conservation practices based on remote sensing data. In this paper we aim to highlight the potential of open access data and open source software and the importance of the inter-linkages between these and remote sensing training, with an interdisciplinary perspective. We will first deal with the importance of open access data and then we provide several examples of Free and Open Source Software (FOSS) for a deeper and more critical understanding of its application in remote sensing. |
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