Monitoring water stress in Mediterranean semi-natural vegetation with satellite and meteorological data (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Monitoring water stress in Mediterranean semi-natural vegetation with satellite and meteorological data (Articolo in rivista) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1016/j.jag.2013.08.003 (literal)

Alternative label

• Moreno, A.; Maselli, F.; Chiesi, M.; Genesio, L.; Vaccari, F.; Seufert, G.; Gilabert, M. A. (2014)
  Monitoring water stress in Mediterranean semi-natural vegetation with satellite and meteorological data
  in International journal of applied earth observation and geoinformation
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Moreno, A.; Maselli, F.; Chiesi, M.; Genesio, L.; Vaccari, F.; Seufert, G.; Gilabert, M. A. (literal)

Pagina inizio

• 246 (literal)

Pagina fine

• 255 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 26 (literal)

Rivista

• International journal of applied earth observation and geoinformation (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 10 (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• University of Valencia; IBIMET CNR; JRC (literal)

Titolo

• Monitoring water stress in Mediterranean semi-natural vegetation with satellite and meteorological data (literal)

Abstract

• In arid and semi-arid environments, the characterization of the inter-annual variations of the light use efficiency 8 due to water stress still relies mostly on meteorological data. Thus the GPP estimation based on procedures exclusively driven by remote sensing data has not found yet a widespread use. In this work, the potential to characterize the water stress in semi-natural vegetation of three spectral indices (NDWI, SIWSI and NDI7) - from MODIS broad spectral bands - has been analyzed in comparison to a meteorological factor (C-WS). The study comprises 70 sites (belonging to 7 different ecosystems) uniformly distributed over Tuscany, and three eddy covariance tower sites. An operational methodology, which combines meteorological and MODIS data, to characterize the inter-annual variations of epsilon due to summer water stress is proposed. Its main advantage is that it relies on existing series of meteorological data characterizing each site and allows calculating a typical C-WS profile that can be \"updated\" (C-WS*) for the actual conditions using MODIS spectral indices. The results confirm that the modified C-WS* can be used as a proxy of water stress that does not require concurrent information on meteorological data. (C) 2013 Elsevier B.V. All rights-reserved. (literal)

Prodotto di

• Institute for biometeorology (IBIMET) (Istituto)

Autore CNR

• MARTA CHIESI (Unità di personale interno)
• FRANCESCO PRIMO VACCARI (Unità di personale interno)
• LORENZO GENESIO (Persona)
• FABIO MASELLI (Unità di personale interno)
• ANTONIO RASCHI (Persona)

Insieme di parole chiave

• Parole chiave di "Monitoring water stress in Mediterranean semi-natural vegetation with satellite and meteorological data" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute for biometeorology (IBIMET) (Istituto)

Autore CNR di

• FABIO MASELLI (Unità di personale interno)
• FRANCESCO PRIMO VACCARI (Unità di personale interno)
• ANTONIO RASCHI (Persona)
• LORENZO GENESIO (Persona)
• MARTA CHIESI (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• International journal of applied earth observation and geoinformation (Rivista)

Insieme di parole chiave di

• Parole chiave di "Monitoring water stress in Mediterranean semi-natural vegetation with satellite and meteorological data" (Insieme di parole chiave)