Disaster Assessment Using Satellite Images
This tool is designed to assist in the assessment of disaster-affected areas using image processing techniques. It allows for the processing, and visualization of pre and post-disaster images
Created on 12th March 2024
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Disaster Assessment Using Satellite Images
This tool is designed to assist in the assessment of disaster-affected areas using image processing techniques. It allows for the processing, and visualization of pre and post-disaster images
The problem Disaster Assessment Using Satellite Images solves
Disaster Assessment Tool
The Disaster Assessment Tool automates and streamlines the process of assessing pre and post-disaster images, providing valuable insights for disaster management and recovery efforts.
Key Uses:
Rapid Damage Assessment: Enables quick evaluation of damage extent and severity in disaster-affected areas by analyzing pre and post-disaster images.
Resource Allocation: Facilitates efficient allocation of resources and prioritization of response efforts based on the severity of damage identified in the images.
Risk Mitigation: Helps identify high-risk areas and potential hazards post-disaster, aiding in the implementation of preventive measures to mitigate future risks.
Decision Support: Provides data-driven insights to decision-makers and disaster response teams for informed decision-making and resource management.
Challenges we ran into
Image Preprocessing: Ensuring consistent image sizes and quality across pre and post-disaster images for accurate comparison.
Thresholding: Determining appropriate thresholding techniques to accurately identify damaged regions while minimizing false positives and false negatives.
GUI Development: Integrating Matplotlib plots into a Tkinter-based GUI and ensuring smooth interaction and responsiveness.
Technologies used