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ISPRS Int. J. Geo-Inf. 2017, 6(7), 201;

Integrating Global Open Geo-Information for Major Disaster Assessment: A Case Study of the Myanmar Flood

National Disaster Reduction Center of China, No. 6 Guangbaidong Road, Chaoyang District, Beijing 100124, China
United Nations Office for Outer Space Affairs, United Nations Office at Vienna, Vienna International Centre, Wagramerstrasse 5, A-1220 Vienna, Austria
Author to whom correspondence should be addressed.
Received: 5 May 2017 / Revised: 8 June 2017 / Accepted: 29 June 2017 / Published: 6 July 2017
(This article belongs to the Special Issue Analysis and Applications of Global Land Cover Data)
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Major disasters typically impact large areas, cause considerable damages, and result in significant human and economic losses. The timely and accurate estimation of impacts and damages is essential to better understand disaster conditions and to support emergency response operations. Geo-information drawn from various sources at multi spatial-temporal scales can be used for disaster assessments through a synthesis of hazard, exposure, and post disaster information based on pertinent approaches. Along with the increased availability of open sourced data and cooperation initiatives, more global scale geo-information, including global land cover datasets, has been produced and can be integrated with other information for disaster dynamic damage assessment (e.g., impact estimation immediately after a disaster occurs, physical damage assessment during the emergency response stage, and comprehensive assessment following an emergency response). Residential areas and arable lands affected by the flood disaster occurring from July to August 2015 in Myanmar were assessed based on satellite images, GlobeLand30 data, and other global open sourced information as a study case. The results show that integrating global open geo-information could serve as a practical and efficient means of assessing damage resulting from major disasters worldwide, especially at the early emergency response stage. View Full-Text
Keywords: major disasters; damage assessment; global open; geo-information; GlobeLand30 major disasters; damage assessment; global open; geo-information; GlobeLand30

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Li, S.; Cui, Y.; Liu, M.; He, H.; Ravan, S. Integrating Global Open Geo-Information for Major Disaster Assessment: A Case Study of the Myanmar Flood. ISPRS Int. J. Geo-Inf. 2017, 6, 201.

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