Assessment of pasture productivity in the Italian Alps using spectrometric and remote sensing information (Articolo in rivista)

Type

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

Label

• Assessment of pasture productivity in the Italian Alps using spectrometric and remote sensing information (Articolo in rivista) (literal)

Anno

• 2007-01-01T00:00:00+01:00 (literal)

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

• 10.1016/j.agee.2006.05.024 (literal)

Alternative label

• Boschetti M.; S. Bocchi; P.A. Brivio (2007)
  Assessment of pasture productivity in the Italian Alps using spectrometric and remote sensing information
  in Agriculture, ecosystems & environment (Print)
  (literal)

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

• Boschetti M.; S. Bocchi; P.A. Brivio (literal)

Pagina inizio

• 267 (literal)

Pagina fine

• 272 (literal)

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

• 118 (literal)

Rivista

• Agriculture, ecosystems & environment (Rivista)

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

• 1-4 (literal)

Note

• ISI Web of Science (WOS) (literal)

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

• Boschetti M., P.A. Brivio: CNR-IREA; S. Bocchi: Agraria, Univ Statale di Milano (literal)

Titolo

• Assessment of pasture productivity in the Italian Alps using spectrometric and remote sensing information (literal)

Abstract

• Three years of summer field studies (2002–2004) were conducted at two sites in the Central Italian Alps. Field spectroradiometer data were acquired on different vegetation typologies where current above ground biomass was measured with traditional agronomic methods. Radiometric measurements were synthesised into a set of spectral vegetation indices. Log-transformed regression analysis between fresh biomass and spectral vegetation indices indicated that soil-adjusted vegetation indices (SAVI, MSAVI and OSAVI) show a better correlation (r2 > 0.60) than more commonly employed indices as SR and NDVI (r2 < 0.50). Cross validation procedure showed that a regressive model based on MSAVI index was the most predictive. Analysis of covariance revealed that data from different years and vegetation types significantly influenced the relation, however no improvement in the regressive model was found when data were used separately. After a suitable calibration procedure, a fresh biomass map of the study area was obtained using Landsat-7 imagery. Results showed that the integrated use of field spectral measurements and satellite derived information can provide a valuable support to the assessment of pasture biomass production in alpine environment. (literal)

Prodotto di

• Istituto per il rilevamento elettromagnetico dell'ambiente (IREA) (Istituto)
• Telerilevamento ottico e a microonde (TA.P06.007.005) (Modulo)

Autore CNR

• MIRCO BOSCHETTI (Persona)
• PIETRO ALESSANDRO BRIVIO (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Assessment of pasture productivity in the Italian Alps using spectrometric and remote sensing information" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• MIRCO BOSCHETTI (Persona)
• PIETRO ALESSANDRO BRIVIO (Unità di personale interno)

Prodotto

• Istituto per il rilevamento elettromagnetico dell'ambiente (IREA) (Istituto)
• Telerilevamento ottico e a microonde (TA.P06.007.005) (Modulo)

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

• Agriculture, ecosystems & environment (Rivista)

Insieme di parole chiave di

• Parole chiave di "Assessment of pasture productivity in the Italian Alps using spectrometric and remote sensing information" (Insieme di parole chiave)