Remote Sensing in Earth Systems Sciences - Call for Papers: Wireless Sensor Networks in Disaster Management: Integrating Drone Technology and Remote Sensing

Wireless sensor network (WSN) made up of numerous nodes with sensors and controllers, collect and track data as well as interactions with the surrounding environment. This facilitates the establishment of connectivity amongst people, computers, and the environment. Similar to this,

 different satellites are equipped with various kinds of sensors, including thermal, infrared, multispectral, and panchromatic ones. Depending on the specifics of the disaster and the electromagnetic properties of the things on Earth, all of these sensors can be used to mitigate it. It has been extensively utilised in numerous fields, particularly for habitat monitoring and agricultural surveillance and monitoring. Since environment monitoring allows for real-time system and control connection with the outside world, it has grown in importance as a field of control and protection. In addition to their low power consumption, WSNs' scalability, self-organisation, and data aggregation skills make them efficient systems. These features have many advantages, enabling Wireless Network Operators (WSNs) to adjust to various settings. Disaster management pertains to the systematic arrangement and guidance of resources for the purpose of addressing a disaster, along with the synchronisation of the functions and obligations of responders, corporate and public sector companies, non-profit and faith-based groups, volunteers, contributions, and so on. For many disaster management applications, such as early warning systems, damage assessment, and resource allocation, remote sensing offers insightful data. It assists in observing and forecasting natural hazards, evaluating the effects of calamities, and enabling efficient reaction and reconstruction activities. The majority of earth science disciplines as well as the military, intelligence, commercial, economic, planning, and humanitarian sectors employ it. Identifying ground movement: Satellite photography, radars, and remote sensing can be used to spot ground movement caused by landslides and tsunami waves. For example, changes in the height of the ground can be detected by satellite imaging and may indicate the possibility of landslides. Some specific uses for remotely sensed Earth imagery are as follows: Mapping significant forest fires from space allows rangers to see an area that is significantly larger than what they could see from the ground. tracking clouds to help with weather forecasting, see volcanic eruptions, and support dust storm observation. Images obtained through remote sensing are distinguished by their temporal, geographical, radiometric, and spectrum resolutions. The bandwidth and sample rate at which the sensor collects scene data are referred to as spectral resolution. One characteristic of high spectral resolution is its narrow bandwidth. The capacity of multispectral sensors to detect body heat makes them indispensable in search and rescue operations. In order to guarantee unscanned regions during rescue operations, searching in hazardous situations is frequently required. The completion of a search and rescue mission could take several days. It is advised that drones be used in disaster relief operations for tasks including landslide investigation, flooding assessment, and post-disaster infrastructure survey and assessment. The procedures vary depending on the kind of disaster and the stage, including preparedness, mitigation, and recovery. In this special issue we focus to explore WSN in Disaster Management: Integrating Drone Technology and Remote Sensing. Potential topics include, but are not limited to: • An investigation of the application of IoT and wireless sensor networks in disaster relief. • Multi-UAV systems and wireless sensor networks for managing natural disasters. • Exploring WSN helps with combining data and UAV-based imagery collection. • Network architecture, deployment, and performance assessment for wireless sensor networks in smart cities. • Wireless sensor networks for tracking of natural disasters. • Intelligent surveillance network for disaster risk early detection. • An architecture for UAV monitoring in a system-of-systems for disaster response. • A review of sensors and related techniques used in SAR operations and disaster management. • UAV remote sensing operations using public network infrastructures for civilian security purposes. • Wireless sensor network for monitoring the maritime and coastal environments, based on unmanned aerial vehicles. • Issues and challenges associated with localization in wireless sensor networks for new applications. • Unmanned aerial vehicles made catastrophe management possible on an IoT platform.