Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Hyperspectral images to monitor oil spills in the River Po

Academic Article
Publication Date:
2016
abstract:
Knowledge of an oil spill's extent and its quantification are fundamental to limit damage and assess impacts. Remote sensing permits the observation of large areas in a short time, to locate and quantify the phenomenon. We present the case study of the River Lambro, where an oil spill occurred on February 23, 2010 and then flowed into the River Po. The Agenzia di Protezione Civile della Regione Emilia-Romagna quickly commissioned two aerial surveys over the polluted area, performed by Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS) with a hyperspectral sensor, AISA Eagle 1K, in order to obtain qualitative and quantitative assessment of the spilled substances and to support rapid decision-making with real-time monitoring. The method used a Spectral Angle Mapper (SAM) classification to locate the pollution. Results showed a successful applicability in the production of the pollution map used for the containment phase.
Iris type:
01.01 Articolo in rivista
Keywords:
Hyperspectral imagery; Oil spills; Oil thickness; Rapid response systems; Remote sensing; Spectral angle mapper (SAM)
List of contributors:
Pietrapertosa, Carla
Authors of the University:
PIETRAPERTOSA CARLA
Handle:
https://iris.cnr.it/handle/20.500.14243/316399
Published in:
BOLLETTINO DI GEOFISICA TEORICA E APPLICATA
Journal
  • Overview

Overview

URL

http://www3.ogs.trieste.it/bgta/provapage.php?id_articolo=681
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)