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
2017
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
File in questo prodotto:
File Dimensione Formato  
ECOINF_2017.pdf

solo utenti autorizzati

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 601.04 kB
Formato Adobe PDF
601.04 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10449/54476
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 42
  • ???jsp.display-item.citation.isi??? 39
social impact