This paper deals with severe fold of Thailand in 2010 - 2011. The heavy monsoon rain in many areas resulted in flash floods and the excess water inundated low lying areas along the major river banks. This created, economic, agricultural and social impact on a large scale including sever damage. Basic geospatial data provide important input for analysis to evaluate flooded area including, land use and location of utilities. However, for household, there is not sufficient geospatial data to make the assessment of the damage. So geospatial data of household is necessary to rapidly evaluate damage both position and the number of household for supporting government decision making for flood compensation. GISTDA used high resolution satellite data (1 meter or better) for this purpose and the study area was divided into 3 levels based on urgent mission: 1. Flood area 2. Five kilometers buffer zone from flood area and 3. Other area. Visual classification at topography scale 1:4,000 subset was used to facilitate the enumeration. The result overlay with flood area in 2011 (May 1, - Dec. 31, 2011) showed that 1.82 million household were under water in 67 provinces. The data had been very useful in supporting government decision making to agencies involved in planning, implementation and management to evaluate the number of household affected by floods for compensation to the people under the management of the Department of Disaster Prevention and Mitigation and Office of the Prime Minister.
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