Analysis of Tsunami-Affected and Reconstructed Areas in Nagapattinam Using Remote Sensing
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RESEARCH ARTICLE
Analysis of Tsunami-Affected and Reconstructed Areas in Nagapattinam Using Remote Sensing G. Wiselin Jiji1 • G. Sumilda Merlin1 • A. Rajesh2 Received: 5 July 2018 / Accepted: 19 March 2019 Indian Society of Remote Sensing 2019
Abstract The recent experiences in the 2004 Indian Ocean tsunami showed the efficiency of remote sensing techniques in quick damage mapping and recovery efforts. This study develops an object-based image analysis method for mapping the tsunami-affected areas. The proposed method is carried out in four steps. In the first step, data preprocessing operations, data registration, and cloud removal are carried out based on the multi-source data. In the second step, object-based classification operation is performed to separate the images into segments. In the third step, infrastructural damages are identified. In the fourth step, developments after the tsunami are found out. The results showed that the proposed method has given a higher accuracy than the earlier methods. The proposed combination of techniques gives a high accuracy of 99% for the detection of changes in vegetation. The change detection result found 39% change in the building in 2005, 32% of soil area and 8.7% of water region had been increased within 2 years. The building elevation method estimated newly developed one story and two story buildings as 11,112 and 142, respectively. Keywords Image processing Image segmentation Change detection Building detection
Introduction Nowadays, most of the remote sensing applications are mainly focused on the increasing frequency and magnitude of natural hazards of all types. Recent decades, the world has experienced more regularly the devastated impacts of the big earthquakes such as the 1995 Kobe, Japan earthquake, the 1999 Kocaeli, Turkey earthquake, the 2001 Gujarat, India earthquake, the 2003 Boumredes, Algeria earthquake, and the 2003 Bam, Iran earthquakes. Among
& G. Wiselin Jiji [email protected] G. Sumilda Merlin [email protected] A. Rajesh [email protected] 1
Department of Computer Science and Engineering, Dr. Sivanthi Aditanar College of Engineering, Tiruchendur, Tamil Nadu 628 215, India
2
Vikram Sarabhai Space Centre, Indian Space Research Organization, Veli, Thiruvananthapuram, Kerala 695022, India
the biggest earthquakes ever recorded, the M9.0 earthquake occurred off the Sumatra, Indonesia coast, in December 2004 triggering a massive tsunami that caused significant damage and deaths to coastal communities in the Indian Ocean. Those hazards mainly affected the environment and human life. This paper presents a solution for analyzing the remotely sensed data to monitor the reconstruction area in Nagapattinam. Nowadays, a mature research area is remote sensing image processing, and many techniques are developed in the field that allow many real-life applications with great societal value. Image segmentation is nothing but to partition an image into homogenous groups in such a way that each region is homogenous; one condition is the un
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