Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/42574
DC FieldValueLanguage
dc.contributor.authorCucca, Benedettait
dc.contributor.authorRecanatesi, Fabioit
dc.contributor.authorRipa, Maria Nicolinait
dc.date.accessioned2021-01-26T00:27:28Z-
dc.date.available2021-01-26T00:27:28Z-
dc.date.issued2020it
dc.identifier.isbn9783030588137it
dc.identifier.urihttp://hdl.handle.net/2067/42574-
dc.description.abstract© 2020, Springer Nature Switzerland AG. The Mediterranean ecosystem represents an important natural resource, being able to produce ecosystem services, has both economic and social repercussions, especially if located in urban and peri-urban areas. In the last decades, increased forest vulnerability is being reflected in a larger number of severe decline episodes associated mainly with drought conditions. In this context, the Mediterranean area shows high forest vulnerability and a subsequent decline in its natural renewal rate. In this context, the objective of this research is to evaluate the different vegetation indices to monitor the effect of drought on the health of the Castelporziano pine wood. For this purpose, we used the NDVI, NDII and NMDI, provided by ESA Sentinel-2 images and field observations, to monitor the health status of a historic pinewood that has recently been affected by a rapid spread of parasites (Tomicus destruens Woll.). The application of these indices, on the scale of the entire pinewood, showed that the NDVI and NDII indices differentiate better the changes in vegetative health status for the observed period than the NMDI. Moreover, NDVI and NDII were applied, based on the classifications made, to volume and age classes. Ultimately, these preliminary results require further studies to better understand the potential and limiting factors of the indices used in monitoring pinewoods under stress due to aridity.it
dc.format.mediumELETTRONICOit
dc.language.isoengit
dc.titleEvaluating the Potential of Vegetation Indices in Detecting Drought Impact Using Remote Sensing Data in a Mediterranean Pinewoodit
dc.typeconferenceObject*
dc.identifier.doi10.1007/978-3-030-58814-4_4it
dc.identifier.scopus2-s2.0-85092896641it
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85092896641it
local.message.claim2021-04-14T20:17:09.364+0200|||rp00253|||submit_approve|||dc_contributor_author|||None*
dc.relation.journalLECTURE NOTES IN COMPUTER SCIENCEit
dc.relation.ispartofbook20th International Conference on Computational Science and Its Applications, ICCSA 2020;it
dc.relation.firstpage50it
dc.relation.lastpage62it
dc.relation.conferencename20th International Conference on Computational Science and Its Applications, ICCSA 2020;it
dc.relation.conferenceplaceCagliari; Italy;it
dc.relation.conferencedate1 July 2020 through 4 July 2020;it
dc.relation.volume12253 LNCSit
dc.subject.scientificsectorAGR/10it
dc.subject.ercsectorLS9it
dc.contributor.countryITAit
dc.type.miur273it
dc.publisher.nameSpringer Verlag Germany:Tiergartenstrasse 17, D 69121 Heidelberg Germany:011 49 6221 3450, EMAIL: g.braun@springer.de, INTERNET: http://www.springer.de, Fax: 011 49 6221 345229it
item.fulltextWith Fulltext-
item.openairetypeconferenceObject-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.journal.journalissn0302-9743-
crisitem.journal.anceE100308-
Appears in Collections:D1. Contributo in Atti di convegno
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