This study focuses on a multitemporal spectral analysis of morphologic features of the Venice Lagoon. Principal Component Analysis, applied in a multidate merged rotation to standardized visible and infrared Landsat Thematic Mapper spectral bands, has allowed discrimination of differences in spatial distribution and spectral characteristics of the observed features. A comparative analysis has been carried out on the derived PC based on visual and statistical interpretation. Near- and medium-infrared bands are revealed to be suitable to return significant information in a very shallow water environment and under particular weather conditions. A map of part of the Northern Lagoon has been produced out of the first Principal Component of multitemporal TM4s.
Multitemporal principal component analysis of spectral and spatial features of the Venice Lagoon
Casacchia R;Salvatori R
1997
Abstract
This study focuses on a multitemporal spectral analysis of morphologic features of the Venice Lagoon. Principal Component Analysis, applied in a multidate merged rotation to standardized visible and infrared Landsat Thematic Mapper spectral bands, has allowed discrimination of differences in spatial distribution and spectral characteristics of the observed features. A comparative analysis has been carried out on the derived PC based on visual and statistical interpretation. Near- and medium-infrared bands are revealed to be suitable to return significant information in a very shallow water environment and under particular weather conditions. A map of part of the Northern Lagoon has been produced out of the first Principal Component of multitemporal TM4s.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
