Geo-spatial Techniques for rapid Post Disaster Needs Assessment (rPDNA)
Kalyan Munjuluri1, Indrajit Pal2, Nitin Kumar Tripathi3
1Kalyan Munjuluri*, Remote Sensing & GIS, School of Engineering and Technology, Asian Institute of Technology, Pathumthani, Thailand.
2Indrajit Pal*, Disaster Preparedness, Mitigation and Management, School of Environment, Resources and Development, Asian Institute of Technology, Pathumthani, Thailand.
3N.K. Tripathi, Remote Sensing & GIS, School of Engineering and Technology, Asian Institute of Technology, Pathumthani, Thailand.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 11198-11206 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8017118419/2019©BEIESP | DOI: 10.35940/ijrte.D8017.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Post Disaster Needs Assessment (PDNA) by conventional techniques is one of the critical challenge to respond and recover in specific timeline. This study aims on providing a rapid damage assessment model (rPDNA) by integrating geospatial techniques to compliment Post Disaster Needs Assessment (PDNA) developed by UNDP, WB and other UN agencies. This model focuses on generating the disaster damage reports within 48 – 72 hours after the disaster, to guide the decision makers on when, how and where to start the PDNA. To improve the speed and accuracy in assessment through rPDNA, various indicators like NDVI, NDWI and texture analysis has been used. Crowdsourcing approach was also adopted to make disaster affected people/victims as volunteers for quick data gathering.
Keywords: Damage Assessment, Post Disaster Needs Assessment (PDNA), Crowdsourcing, Cyclone, Rapid Assessment.
Scope of the Article: Microwave Antenna.