Name
Abstract | ||
|---|---|---|
Earth Observation has proven to be a synoptic and objective source of information to derive crisis and damage maps. In case
of flood events, often characterized by weather conditions which prevent the possibility of exploiting data acquired by optical
sensors, synthetic aperture radar (SAR) sensors become the only space-born source of information due to their all-weather
capability. In order to assure the delivery of damage maps as soon as possible after a disaster, the access and the exploitation
of SAR data must be accelerated and simplified with respect to the current procedures. In this context, two issues needed
to be addressed: fast access to large data archives, and provision of near real-time on demand processing services. This paper
presents a near real-time SAR processing service to support the mapping of flooded areas. The service exploits Grid technology
to manage large volumes of data and to provide the computational resources to cope with SAR processing demanding tasks. The
algorithm for the implemented orthorectification of the final products is presented. The validation of the derived products
shows a reliable accuracy for co-registration of half a pixel. The geolocation accuracy resulted below 100 m. The service
makes a significant contribution to accelerating the access and exploitation of ESA SAR data. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s11554-009-0114-4 | J. Real-Time Image Processing |
Keywords | Field | DocType |
near real-time processingfast data access � gridsarearth observation for disaster management,near real time,data access,earth observation,disaster management,optical sensor,synthetic aperture radar | Data mining,Grid computing,Synthetic aperture radar,Computer science,Geolocation,Real-time computing,Exploit,Earth observation,Pixel,Grid,Orthophoto | Journal |
Volume | Issue | ISSN |
4 | 3 | 1861-8219 |
Citations | PageRank | References |
6 | 0.95 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Cossu | 1 | 216 | 18.62 |
| Elisabeth Schoepfer | 2 | 18 | 5.99 |
| Philippe Bally | 3 | 8 | 1.69 |
| Luigi Fusco | 4 | 38 | 4.98 |