Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Monitoring lakes surface water velocity with sar: A feasibility study on Lake Garda, Italy

Articolo
Data di Pubblicazione:
2021
Abstract:
The SAR Doppler frequencies are directly related to the motion of the scatterers in the illuminated area and have already been used in marine applications to monitor moving water surfaces. Here we investigate the possibility of retrieving surface water velocity from SAR Doppler analysis in medium-size lakes. ENVISAT images of the test site (Lake Garda) are processed and the Doppler Centroid Anomaly technique is adopted. The resulting surface velocity maps are compared with the outputs of a hydrodynamic model specifically validated for the case study. Thermal images from MODIS Terra are used in support of the modeling results. The surface velocity retrieved from SAR is found to overestimate the numerical results and the existence of a bias is investigated. In marine applications, such bias is traditionally removed through Geophysical Model Functions (GMFs) by ascribing it to a fully developed wind waves spectrum. We found that such an assumption is not supported in our case study, due to the small-scale variations of topography and wind. The role of wind intensity and duration on the results from SAR is evaluated, and the inclusion of lake bathymetry and the SAR backscatter gradient is recommended for the future development of GMFs suitable for lake environments.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Doppler Centroid Anomaly; SAR; inland waters; physical limnology; hydrodynamics
Elenco autori:
Zamparelli, Virginia; Amadori, Marina; DE CAROLIS, Giacomo; Giardino, Claudia; Fornaro, Gianfranco; Bresciani, Mariano; DE SANTI, Francesca
Autori di Ateneo:
BRESCIANI MARIANO
DE CAROLIS GIACOMO
DE SANTI FRANCESCA
FORNARO GIANFRANCO
GIARDINO CLAUDIA
ZAMPARELLI VIRGINIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/403051
Pubblicato in:
REMOTE SENSING (BASEL)
Journal
  • Dati Generali

Dati Generali

URL

http://www.scopus.com/record/display.url?eid=2-s2.0-85108439581&origin=inward
  • Utilizzo dei cookie

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