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Simplify Field Data Collection with ArcGIS Field Maps Designer Introducing ArcGIS Field Maps Designer. Tired…
At GISKernel, we understand climate risk and develop strategies to build preparedness and reduce disaster risk by embracing next-generation geospatial solutions.
GIS is a crucial component in post-disaster activities – be it the response, recovery, or rehabilitation. When it comes to disaster management, the most important piece is to build a strategy before disaster hits. The application of AI and GIS is immensely effective for data-driven insights to prepare better, assess risks, and develop adaptation & mitigation strategies.
Detection of damages such as collapsed buildings, roof damage, vehicle parts, uprooted vegetation and other debris after a disaster is made possible with GeoAI.
During a disaster, GIS aids in emergency evacuation planning, allocation of emergency response centres, estimating emergency rescue times, and identifying evacuation routes.
GIS aids in quantifying the extent of damage or impact of a disaster. Such assessments are needed to allocate resources, prioritize recovery efforts, and estimate financial losses.
Crowdsourcing is a dynamic tool and, when combined with GIS, will allow collaboration with on-the-ground responders to respond faster and accurately during disasters.
Multi-hazard risk and vulnerability assessments are carried out through an integrated process using remote sensing and GIS to undertake mitigation, adaption or risk reduction measures. .
A virtual model, a realistic simulation of a project, environment, or critical situation, allows for the simulation of disasters and their impacts. It is vital for effective disaster preparedness, response and recovery.
Web-based
Decision-support Tool for Damage Assessmen
GeoAI
For Debris Detection
Real-time Platform
To Support Disaster Management
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