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Kerala MVD AI Camera. GIS based Intractive Web Map

https://github.com/vineeshgeo/Kerala-MVD-AI-Camera Kerala MVD AI Camera. GIS based Intractive Web Map https://vineeshgeo.github.io/Kerala-MVD-AI-Camera/#11/10.8446/76.0164

River. Channel. Terminology

Channel belt terminology. This schematic illustration of the channel belt extent includes the encompassing area of straight, sinuous, meandering, braided, and anabranching river channels (active and abandoned) and its associated levees, bars, and overbank landforms.

Resilience, mitigation, and vulnerability

Resilience, mitigation, and vulnerability are important concepts in disaster management and risk reduction. Resilience refers to the ability of a system, community, or individual to withstand and recover from shocks or stressors. It involves the ability to adapt, learn, and grow stronger in the face of adversity. Resilience can be built through measures such as improving infrastructure, diversifying livelihoods, strengthening social networks, and promoting mental health and well-being. Mitigation refers to actions taken to reduce the risk of disasters and their impacts. It involves measures such as hazard mapping, land-use planning, building codes and standards, and early warning systems. The goal of mitigation is to reduce the likelihood of a disaster occurring, as well as to minimize its effects if it does occur. Vulnerability refers to the susceptibility of a system, community, or individual to the impacts of a disaster. It is influenced by factors such as poverty, inequality, inade

Remote Sensing and Disaster Management. Applications.

Remote sensing technology has proven to be an effective tool for disaster management. Here are some applications of remote sensing in disaster management: Early Warning Systems: Remote sensing data is used to monitor natural hazards such as hurricanes, typhoons, floods, and tsunamis, and provide early warning systems to the authorities, allowing them to take timely action to mitigate damage. Damage Assessment: Remote sensing data can be used to quickly assess the extent of damage caused by a disaster. This information is useful in determining the areas that require immediate assistance and aid. Search and Rescue: Remote sensing data can help locate stranded individuals or missing persons during a disaster. It can also be used to monitor the movement of rescue teams and assist in their deployment. Urban Planning and Management: Remote sensing data can be used to create maps and models of urban areas, which can be used for emergency response planning and management. Agricultural Disaster

Disaster Management. GIS and Remote Sensing

Geographic Information Systems (GIS) and remote sensing technologies are becoming increasingly important in disaster management. They offer a range of tools and techniques that can be used to improve the speed and effectiveness of disaster response and recovery efforts. GIS is a system that allows users to capture, store, analyze and manage geographic data. In disaster management, GIS can be used to create maps that show the location of critical infrastructure such as hospitals, fire stations, and evacuation routes. This information is invaluable in planning and coordinating emergency response efforts. Remote sensing is the process of gathering data about an object or environment without physically being in contact with it. This is often done through the use of satellites or aerial photography. Remote sensing can be used to detect changes in the environment that might indicate the onset of a disaster, such as changes in sea level or vegetation cover. In disaster management, GIS and rem

Cyclone Warning System. Flood Warning System. Tsunami Warning System.

Cyclone Warning System. A cyclone warning system is a system designed to provide early warning of impending cyclones or hurricanes. Cyclones are severe weather events that can cause significant damage to property and loss of life, particularly in coastal regions. The warning system is made up of various components, including meteorological monitoring, forecasting, and dissemination of information to the public. The system uses a range of technologies, including satellite imagery, radar, and weather balloons to track the development and movement of cyclones. Once a cyclone is identified, forecasts are made about its trajectory, intensity, and potential impact on affected regions. This information is communicated to the public through various media channels, including radio, television, and social media. The warning system also includes measures to evacuate people from the path of the storm and to prepare communities for the impact of the cyclone. This may involve the establishment of sh

Early warning system. Disaster Warning & Response System (DWRS).

A Disaster Warning System (DWS) is a set of technologies, protocols, and procedures designed to provide timely and accurate information to people in areas that are likely to be affected by natural or man-made disasters. The goal of a DWS is to help people prepare for, respond to, and recover from disasters by giving them advanced notice and information about the potential impact of the disaster. The key components of a DWS typically include sensors and monitoring devices that detect and report on potential threats, such as seismic activity, weather patterns, and other environmental conditions. These sensors are connected to a central data processing system that analyzes the data and generates alerts and warnings based on established protocols. Once an alert or warning is generated, it is communicated to the public through a variety of channels, such as radio and television broadcasts, mobile phone alerts, social media posts, and sirens or other audible warning systems. The DWS may also

Predicting Natural Hazards and Technology

Predicting natural hazards is a critical task that involves the use of various technologies to gather and analyze data to identify potential hazards, assess their likelihood and potential impact, and communicate the risks to the public. Technology plays a crucial role in this process by providing tools to help scientists and emergency responders gather and analyze data, create models, and share information with those who need it. One important technology used in predicting natural hazards is remote sensing. Remote sensing involves using sensors and imaging technology to gather data from a distance. This can include satellite imagery, aerial photography, and ground-based sensors. By analyzing this data, scientists can identify patterns and trends that may indicate potential hazards, such as changes in temperature, weather patterns, or geological activity. Another important technology is modeling software. Modeling software allows scientists to create simulations of natural hazards, such

Disaster Preparedness

Disaster preparedness refers to the measures and actions taken in advance to minimize the impact of disasters, such as natural disasters or human-made ones. It involves planning, organizing, and practicing to ensure that people and communities are ready to respond effectively in the event of an emergency. The main goal of disaster preparedness is to save lives, prevent injuries, and minimize property damage. It includes several important steps: Risk assessment: This involves identifying the potential hazards that could affect a particular area or community. Understanding the type and magnitude of a possible disaster is the first step in being prepared. Planning: After identifying the risks, a disaster preparedness plan should be created. This plan should include evacuation routes, emergency shelters, communication systems, and procedures for notifying and responding to emergency services. Communication: Effective communication is essential during disasters, and emergency communication

Disaster Management Act, 2005. National Disaster Management Framework (NDMF) National Disaster Management Authority (NDMA). National Institute of Disaster Management (NIDM). National Disaster Response Force (NDRF)

Disaster Management Act, 2005. National Disaster Management Framework (NDMF) National Disaster Management Authority (NDMA). National Institute of Disaster Management (NIDM). National Disaster Response Force (NDRF) The National Disaster Management Framework (NDMF) in India is a comprehensive policy document that provides a framework for managing disasters in the country. The framework was first introduced in 2005 and was updated in 2019. The NDMF is based on the principle of an integrated approach to disaster management. It aims to bring together all stakeholders, including the government, non-governmental organizations (NGOs), civil society, and the private sector, to work towards a common goal of disaster management. The framework is designed to address all phases of disaster management, including prevention, preparedness, response, and recovery. It provides guidelines for various aspects of disaster management, including risk assessment, disaster planning, early warning systems, sear