Revolutionizing Web-GIS Development: How a Structured Approach and Collaborative Figma Design Can Drive Success
Revolutionizing Web-GIS Development: How a Structured Approach and Collaborative Figma Design Can Drive Succes In…
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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