Automatic information extraction for assessment of damaged areas after earth quake based on FORMOSAT imagery :: A case study in Sewon District

MASHAFI, Charles Amoni, Drs. Projo Danoedoro, M.Sc.Ph.D

2008 | Tesis | S2 Geografi

In order for quick response and early recovery assessment in any disaster including Earthquake, it is important to rapidly comprehend the extent and severity of the building damage. After Indonesia earthquake which hit a wide part of Central java on May 27th, 2006, severe building damage was observed in Bantul area. Many satellite images have captured the damaged areas with different range of time since the occurrence of the earthquake. With consideration of Time and coverage of Formosat Imagery employed in this study, the supervised image classification technique is applied to the Formosat images to identify the damaged areas. First, the pre and post-earthquake Formosat images are compared to examine the potential change and damage profile of Sewon District extracting potential information and characteristics of the damaged buildings. In order for building damage mapping, supervised classification is applied to the post-earthquake Formosat image by selecting the training pixels. The result shows among features applied, only Mean and contrast method can reveal a potential change in automatic information extraction when employing panchromatic image. Some methods had been applied in the study and nothing was observed as a target for automatic information extraction.One of these methods is Relative calibration by polynomial regression after pan sharpening.This failure of some methods can be an impact in one or another way from a difficulties on Geometric correction exercise for Formosat Image to Map rectifications. Through the available data from the field from previous studies IKONOS imagery specifically helped in a process of accuracy assessment to both visually and automatic information extraction after filtering of several features and observing them on differencing processes.

Kata Kunci : Formosat,Automatic information extraction and earth quake