Evaluation of hyperspectral reflectance indexes to detect gravepine water status in vineyards

Título

dc.contributor	Escuela Superior y Tecnica de Ingenieros de Minas	es_ES
dc.contributor.author	Rodríguez Pérez, José Ramón
dc.contributor.author	Riaño, David
dc.contributor.author	Carlisle, Eli
dc.contributor.author	Ustin, Susan L.
dc.contributor.author	Smart, David R.
dc.contributor.other	Ingeniería Cartografica, Geodesica y Fotogrametria	es_ES
dc.date	2007-04-15
dc.date.accessioned	2013-11-15T13:07:02Z
dc.date.available	2013-11-15T13:07:02Z
dc.date.issued	2013-11-15
dc.identifier.citation	American Journal of Enology and Viticulture, 2007, vol. 58, n. 3	es_ES
dc.identifier.uri	http://hdl.handle.net/10612/3027
dc.description	P. 302-317	es_ES
dc.description.abstract	Irrigation scheduling is critical as it affects both fruit yield and composition. We examined the potential to use field-measured hyperspectral remote sensing data to stimate leaf water content, equivalent water thickness, and leaf water potential in a commercial vineyard of Vitis vinifera cv. Pinot noir	es_ES
dc.language	eng	es_ES
dc.publisher	American Society for Enology and Viticulture	es_ES
dc.subject	Ingeniería agrícola	es_ES
dc.subject.other	Índice de vegetación	es_ES
dc.subject.other	Seguimiento remoto	es_ES
dc.subject.other	Cielo reflectante	es_ES
dc.subject.other	Viñas	es_ES
dc.title	Evaluation of hyperspectral reflectance indexes to detect gravepine water status in vineyards	es_ES
dc.type	info:eu-repo/semantics/article	es_ES
dc.description.peerreviewed	SI	es_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es_ES