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

Rocchini, D.; Petras, V.; Petrasova, A.; Horning, N.; Furtkevicova, L.; Neteler, M.; Leutner, B.; Wegmann, M. (2017). Open data and open source for remote sensing training in ecology. ECOLOGICAL INFORMATICS, 40: 57-61. doi: 10.1016/j.ecoinf.2017.05.004 handle: http://hdl.handle.net/10449/54476

Open data and open source for remote sensing training in ecology

Rocchini, D.
Primo
;
Furtkevicova, L.;
2017-01-01

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
Education
Free and open source software
Remote sensing
Spatial complexity
Spatial ecology
Settore BIO/03 - BOTANICA AMBIENTALE E APPLICATA
Rocchini, D.; Petras, V.; Petrasova, A.; Horning, N.; Furtkevicova, L.; Neteler, M.; Leutner, B.; Wegmann, M. (2017). Open data and open source for remote sensing training in ecology. ECOLOGICAL INFORMATICS, 40: 57-61. doi: 10.1016/j.ecoinf.2017.05.004 handle: http://hdl.handle.net/10449/54476
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10449/54476
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