On the use of principal component analysis (PCA) for evaluating interannual vegetation anomalies from SPOT/VEGETATION NDVI temporal series (Articolo in rivista)

Type

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

Label

• On the use of principal component analysis (PCA) for evaluating interannual vegetation anomalies from SPOT/VEGETATION NDVI temporal series (Articolo in rivista) (literal)

Anno

• 2006-01-01T00:00:00+01:00 (literal)

Alternative label

• Lasaponara Rosa. (2006)
  On the use of principal component analysis (PCA) for evaluating interannual vegetation anomalies from SPOT/VEGETATION NDVI temporal series
  in Ecological modelling
  (literal)

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

• Lasaponara Rosa. (literal)

Pagina inizio

• 429 (literal)

Pagina fine

• 434 (literal)

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

• 194 (literal)

Rivista

• Ecological modelling (Rivista)

Note

• ISI Web of Science (WOS) (literal)

Titolo

• On the use of principal component analysis (PCA) for evaluating interannual vegetation anomalies from SPOT/VEGETATION NDVI temporal series (literal)

Abstract

• In this work, we discuss the use of principal component analysis (PCA) for evaluating the vegetation interannual anomalies. The analysis was preformed on a temporal series (1999–2002) of the yearly Maximum Value Composit of SPOT/VEGETATION NDVI acquired for Sicily Island. The PCA was used as a data transform to enhance regions of localized change in multi-temporal data sets. This is a direct result of the high correlation that exists among images for regions that do not change significantly and the relatively low correlation associated with regions that change substantially. Both naturally vegetated areas (forest, shrub-land, herbaceous cover) and agricultural lands have been investigated in order to extract the most prominent natural and/or man-induced alterations affecting vegetation behavior. Our findings suggest that PCA can provide valuable information for environmental management policies involving biodiversity preservation and rational exploitation of natural and agricultural resources. (literal)

Prodotto di

• Istituto di metodologie per l'analisi ambientale (IMAA) (Istituto)
• Sviluppo ed integrazione di tecniche di Osservazione della Terra da aereo e da satellite per il monitoraggio della superficie (Terminato) (TA.P06.006.004) (Modulo)

Autore CNR

• ROSA LASAPONARA (Persona)

Insieme di parole chiave

• Keywords of "On the use of principal component analysis (PCA) for evaluating interannual vegetation anomalies from SPOT/VEGETATION NDVI temporal series" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di metodologie per l'analisi ambientale (IMAA) (Istituto)
• Sviluppo ed integrazione di tecniche di Osservazione della Terra da aereo e da satellite per il monitoraggio della superficie (Terminato) (TA.P06.006.004) (Modulo)

Autore CNR di

• ROSA LASAPONARA (Persona)

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

• Ecological modelling (Rivista)

Insieme di parole chiave di

• Keywords of "On the use of principal component analysis (PCA) for evaluating interannual vegetation anomalies from SPOT/VEGETATION NDVI temporal series" (Insieme di parole chiave)