About this Research Topic
Wildfires pose significant challenges globally, leading to extensive environmental, economic, and social repercussions. The deployment of remote sensing techniques in wildfire management has become crucial in acquiring precise geospatial information, thereby revolutionizing strategies for mitigating fire impacts. Enhanced by these technological advances, researchers can access detailed data spanning extensive land areas, which is invaluable for effective forest fire management. Remote sensing methods support various applications, such as fire prediction, real-time monitoring, and post-event assessments—facilitating a proactive approach in managing fire-prone landscapes and potentially reducing wildfire incidences.
This research topic aims to delve into the transformative role of remote sensing in forest and fire management, illustrating its efficacy during pre-fire planning, active firefighting efforts, and post-fire recovery. By fostering discussions on the latest innovations and integrating remote sensing data, this collection seeks to uncover new methodologies and tools that enhance fire preparedness, combat active fires more effectively, and assess the aftermath to inform recovery strategies. Papers are encouraged to demonstrate novel uses of remote sensing in these stages, setting the stage for advancements that could lead to more resilient fire management systems.
To further explore the capabilities of remote sensing technologies in fire management, this special issue invites contributions that elucidate:
• Pre-fire Analysis: Evaluating potential fire hazards, fuel conditions, and infrastructure vulnerabilities.
• Active Fire Management: Techniques for real-time fire tracking and decision-making support during firefighting.
• Post-fire Evaluation: Impact assessments and ecological recovery tracking to understand fire effects and promote ecosystem restoration.
In view of these topics, we invite researchers to submit their studies and reviews to enhance our understanding of remote sensing's pivotal role across the various phases of wildfire management, contributing to the broader discourse on environmental resilience and disaster mitigation.
This research topic aims to delve into the transformative role of remote sensing in forest and fire management, illustrating its efficacy during pre-fire planning, active firefighting efforts, and post-fire recovery. By fostering discussions on the latest innovations and integrating remote sensing data, this collection seeks to uncover new methodologies and tools that enhance fire preparedness, combat active fires more effectively, and assess the aftermath to inform recovery strategies. Papers are encouraged to demonstrate novel uses of remote sensing in these stages, setting the stage for advancements that could lead to more resilient fire management systems.
To further explore the capabilities of remote sensing technologies in fire management, this special issue invites contributions that elucidate:
• Pre-fire Analysis: Evaluating potential fire hazards, fuel conditions, and infrastructure vulnerabilities.
• Active Fire Management: Techniques for real-time fire tracking and decision-making support during firefighting.
• Post-fire Evaluation: Impact assessments and ecological recovery tracking to understand fire effects and promote ecosystem restoration.
In view of these topics, we invite researchers to submit their studies and reviews to enhance our understanding of remote sensing's pivotal role across the various phases of wildfire management, contributing to the broader discourse on environmental resilience and disaster mitigation.
Keywords: Lidar, Multispectral images, Fuels management, Machine and Deep LEarning, Fire modelling
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
