GISTDA estimates THB 1.2 billion required for flood recovery in Hat Yai after over 100,000 homes affected
GISTDA reports over 100,000 homes affected by floods in Hat Yai, with recovery costs estimated at over THB 1.2 billion. Satellite data aids in damage assessment.
GISTDA (Geo-Informatics and Space Technology Development Agency) has analyzed the impact of the massive flood in Hat Yai, Songkhla, using satellite data and 3D flood models. The analysis indicates that over 100,000 homes were affected, with 7,693 homes submerged completely and 59,845 partially flooded, resulting in an estimated recovery cost of over 1.2 billion Baht.
GISTDA's team, using spatial data and engineering and economic analysis, assessed the damage based on flood depth, the condition of household appliances, and structural damage. Major appliances, like TVs and refrigerators, may suffer damages between 6,990 – 18,000 Baht, while furniture, bathrooms, and kitchens may incur costs of around 6,000 – 9,900 Baht.
Repair costs for structural elements like electrical systems, plumbing, and flooring are estimated to range from 3,000 – 10,000 Baht. The average repair cost per household is expected to be between 15,000 – 35,000 Baht, with areas flooded deeper than 3 meters seeing the highest levels of damage to infrastructure.
The total recovery cost for Hat Yai could reach over 1.2 billion Baht due to the extensive damage. The figures come from precise spatial data, real-time water level measurements, and scientifically processed models, not mere estimates.
GISTDA’s satellite and GIS technology provided a clearer overview of the situation, allowing officials to make informed decisions about the recovery process. This data enables precise budget planning, ensuring funds are allocated efficiently, transparently, and can be easily tracked.
Explore the 3D flood mapping to see flood levels and affected areas for yourself on the GISTDA website, providing the public, agencies, and interested parties with detailed insights.
Tags: #GISTDA #HatYaiFlood #FloodRecovery #ThailandFlood #GIS #SatelliteData #DisasterManagement #FloodDamage #ThailandEconomy #NaturalDisasters #PublicSafety
