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.
Open data and open source for remote sensing training in ecology / Rocchini, Duccio; Petras, Vaclav; Petrasova, Anna; Horning, Ned; Furtkevicova, Ludmila; Neteler, Markus; Leutner, Benjamin; Wegmann, Martin. - In: ECOLOGICAL INFORMATICS. - ISSN 1574-9541. - STAMPA. - 40:(2017), pp. 57-61. [10.1016/j.ecoinf.2017.05.004]
Open data and open source for remote sensing training in ecology
Rocchini, Duccio;
2017
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
