Rapidassessment of damages using geo-spatial techniques for accurate post-disaster needs assessment a case study of cyclone Hud-Hud in Vishakhapatnam, India | |
| Author | Munjuluri, Kalyan |
| Call Number | AIT Thesis no.RS-16-05 |
| Subject(s) | Geospatial data--India--Vishakhapatnam Damages--Assessment--India--Vishakhapatnam |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis;no. RS-16-05 |
| Abstract | Natural disasters like floods, cyclones, landslides, earthquakes, tsunamis, volcanic eruptions, heat waves and droughts are increasing by each day. These disasters cause severe loss and damage to human lives, properties and the environment. In addition to the above - mentioned damages, natural disasters affect the economies of the countries. Developing countries are most affected due to disasters. Hence, countries in the Asian region are becoming increasingly prone to natural disasters due to over exploitation of natural resources and inappropriate l and use patterns. Hence, the UNDP, WB and other UN agencies have formed PDNA (Post Disaster Needs Assessment). PDNA helps nations to plan a recovery strategy based on the destructions caused by the disaster. A general PDNA report takes around 11 – 12 weeks ’ time. However, the commencement of PDNA generally begins after two to three weeks from the date of the disaster. This study focuses on applying geospatial techniques to the existing PDNA so as to improve the speed and accuracy in assessment. Different damage indicators were used to assess damages in three key sectors i.e. environmental (forest and open shrubs/ plantations), social (rooftop damages and waterlogged areas) and productive sectors (agricultural areas). The damage results assessed have produce 77.94% accuracy and 76.66% accuracy in environmental and social sectors. The main aim of the study is to propose a methodology called as rPDNA using geospatial techniques to assess the damages of cyclone Hud – Hud in Vishakhapatnam. The early damage results would help several agencies to perform relief and emergency operations after the disaster and also act as a guide to later continue an existing PDNA. A crowdsourcing methodology was also developed using EpiCollect application so that people/victims can act as volunteers and provide early field data and a visualization platform was developed in this study using Web GIS techniques so that officials from different agencies and departments can view the impacts of the disaster on the web and respond quickly |
| Year | 2016 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis;no. RS-16-05 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Nitin Kumar Tripath |
| Examination Committee(s) | Durariraju Kumaran Raju;Indrajit Pal;Sanjay Kumar Srivastava |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2016 |