Surface Change Detection based on Multi Sensor data Integration

Paper number

IAC-06-B1.4.05

Author

Mr. Luca Martino, University of Rome "La Sapienza", Italy

Coauthor

Dr. Emanuele Loret, European Space Agency/ESRIN, Italy

Coauthor

Dr. Munzer Jahjah, Centro di Ricerca Progetto San Marco (C.R.P.S.M.), Italy

Year

2006

Abstract

On 26 Dec 2004, a magnitude 9.0 earthquake occurred off the west coast of northern Sumatra, Indonesia. The epicentre was located on the sea bed at 3.32 N 95.85 E. This was the fourth largest earthquake in the world since 1900. The earthquake generated tsunamis which swept across the Indian Ocean within hours. Over 300,000 people lost their lives in this disaster. Areas near to the epicentre in Indonesia, especially Aceh, were devastated by the earthquake and tsunamis.
The active and passive remote sensing data integration of Tsunami affected area of Banda Aceh, (ERS2, ENVISAT-ASAR acquired by ESA-ESRIN,. and two SPOT5 pre and post event were acquired by IPGP) was an efficient instrument for evaluating and quantifying damages. A GIS multi relational database was built and integrated with geophysical, topographic  and hazard map.
Multi change detection approaches were used: NDVI difference, subtraction of the SAR magnitude data and post classification method. These techniques evidenced the surface changes, as well as its type (from-to) using the post change detection statistic (matrix of change). As an example, here there are some classification results: the inundation area was about 113 Km2, 6 Km inland Tsunami wave penetration, 20 km2 of dense habitation area, 8 km2 of paddy fields-aqua cultures and 1.5 km2 of mangrove forest area were transformed into debris, mud and water sea areas; 2.8 km2 of dense habitation were submerged. These results were validated against damage maps based on ground truth.
The work was developed for an Emergency Engineering Master thesis in collaboration with ESA-ESRIN and University of Rome (CRPSM) The applied methodology showed how remote sensing techniques could be adopted for the quasi-real time for the post emergency operations. GIS offers efficient tools for handling, manipulating, analyzing and presenting spatial data and local cartography. Working in an integrated remote sensing and GIS environment allowed us to take advantage of both system techniques. Both GIS and Remote Sensing offer the ability to facilitate ecosystem change investigations leading to a more complete understanding of human impact on the ecosystem. 

Abstract document

IAC-06-B1.4.05.pdf

Manuscript document

IAC-06-B1.4.05.pdf (🔒 authorized access only).

To get the manuscript, please contact IAF Secretariat.