Portfolio
Remote Sensing Technology for loss estimation
Remote sensing is used for loss estimation by leveraging satellite imagery to rapidly assess the extent of damage caused by natural disasters like floods, fires, or hurricanes, allowing for quicker and more accurate estimations of affected areas and potential economic losses, particularly in agriculture where crop damage can be monitored through vegetation indices derived from satellite data; this is especially valuable for insurance companies to evaluate claims and for disaster management organizations to prioritize response efforts.
Flood damage assessment:
Identifying flood extent, depth, and duration using satellite imagery to estimate damage to infrastructure and crops
Agricultural crop loss:
Monitoring crop health and identifying areas with significant crop damage due to pests, diseases, or weather events
Urban damage assessment:
Identifying damaged buildings and infrastructure following natural disasters like earthquakes or hurricanes
Key aspects of using remote sensing for loss estimation:
Satellite imagery from various platforms like Landsat, Sentinel, MODIS, and high-resolution commercial satellites provide data on land cover changes, flood inundation, burn scars, and more:
