Flooded area estimation using radar images and digital elevation model

Marta Maggi; Pietro Alessandro Brivio; Roberto Colombo; Roberto Tomasoni

doi:10.1117/12.332733

11 December 1998 Flooded area estimation using radar images and digital elevation model

Marta Maggi, Pietro Alessandro Brivio, Roberto Colombo, Roberto Tomasoni

Proceedings Volume 3496, Earth Surface Remote Sensing II; (1998) https://doi.org/10.1117/12.332733
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

In this study were evaluated the utility of ERS-1 satellite imagery in conjunction with ancillary data for mapping the flooded areas of the November 1994 flood event occurred in Northern Italy. Two images were analyzed, one collected a month before the flood and the other one collected three day after the inundation. Two processing procedures and a visual interpretation were applied within a masked area extracted from the digital elevation model (DEM). Areal extent of flooded surfaces retrieved by the different methods were compared with the actual flood extension derived from field survey. Intermediate results showed that only a small fraction of the total inundated area was possible to estimated because of the time shift between flood and satellite passage. To overcome this limitation a procedure based on the integration of flooded areas as previously estimated by radar images, with a cost matrix calculated on the basis of the DEM was developed in a Geographical Information System (GIS) environment. This method allowed to map additional inundated areas amounting 96.7% of the actual flooded area. Result shows that even if radar data are taken some days after the inundation, they are still well suited to reconstruct flooded area when DEM is employed in the mapping process.

Citation Download Citation

Marta Maggi, Pietro Alessandro Brivio, Roberto Colombo, and Roberto Tomasoni "Flooded area estimation using radar images and digital elevation model", Proc. SPIE 3496, Earth Surface Remote Sensing II, (11 December 1998); https://doi.org/10.1117/12.332733

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available