Remote sensing estimation of vegetation moisture for the prediction of fire hazard

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Original languageEnglish
Title of host publicationProceedings of the 33th EARSeL symposium: Towards horizon 2020: Earth observation and social perspectives
EditorsN Masini, R Lasaponara, M Biscione
Place of Publications.l.
PublisherEARSEL and CNR
Pages731-739
Number of pages9
ISBN (Print)978-88-89693-34-6
Publication statusPublished - 2013
EventThe 33th EARSeL symposium, Towards horizon 2020: Earth observation and social perspectives, Matera, Italy - s.l.
Duration: 3 Jun 20136 Jun 2013

Publication series

Name
PublisherEARSEL and CNR

Conference

ConferenceThe 33th EARSeL symposium, Towards horizon 2020: Earth observation and social perspectives, Matera, Italy
Period3/06/136/06/13

Keywords

  • Conf.proc. > 3 pag

Cite this

Maffei, C., & Menenti, M. (2013). Remote sensing estimation of vegetation moisture for the prediction of fire hazard. In N. Masini, R. Lasaponara, & M. Biscione (Eds.), Proceedings of the 33th EARSeL symposium: Towards horizon 2020: Earth observation and social perspectives (pp. 731-739). EARSEL and CNR.