K. Phongsapan|Farrukh Chishtie|Ate Poortinga|Biplov Bhandari|Chinaporn Meechaiya|Thannarot Kunlamai|K. S. Aung|David Saah|Eric Anderson|Kel Markert|Amanda Markert|Peeranan Towashiraporn
Operational Flood Risk Index Mapping for Disaster Risk Reduction Using Earth Observations and Cloud Computing Technologies: A Case Study on Myanmar
Asian Disaster Preparedness Center|Asian Disaster Preparedness Center|Asian Disaster Preparedness Center|Asian Disaster Preparedness Center|Asian Disaster Preparedness Center|Asian Disaster Preparedness Center|University of San Francisco|University of Alabama in Huntsville|Marshall Space Flight Center|University of Alabama in Huntsville|Marshall Space Flight Center|University of Alabama in Huntsville|Marshall Space Flight Center|Asian Disaster Preparedness Center
people livelihoods infrastructure myanmar suffer devastating monsoonal flooding frequent basis quick effective management flood risk relies planning preparedness ensure availability supplies shelters emergency response personnel mandated government agency department disaster management ddm well local international organizations play roles producing disseminating using accurate timely information flood risk currently systematic flood risk maps lacking leaves ddm rely inconsistent historic reports local knowledge inform emergency planning although types knowledge critical complemented reduce bias human error planning processes decisions present situation led ineffective distribution emergency response resources prior flooding leaving vulnerable populations lessthanprepared inevitable flood events given issues developed flood risk decisionsupport tool collaboration ddm tool uses surface water maps developed joint research center jrc derived 30 years landsat imagery also incorporated population data land cover data information flood exposure vulnerability create first scalable replicable flood risk index fri flood risk reduction myanmar