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Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring.

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TLDR
This review outlines the state of the art in direct, semi-automated and automated fire detection from both manned and unmanned aerial platforms and discusses the operational constraints and opportunities provided by these sensor systems.
Abstract
For decades detection and monitoring of forest and other wildland fires has relied heavily on aircraft (and satellites). Technical advances and improved affordability of both sensors and sensor platforms promise to revolutionize the way aircraft detect, monitor and help suppress wildfires. Sensor systems like hyperspectral cameras, image intensifiers and thermal cameras that have previously been limited in use due to cost or technology considerations are now becoming widely available and affordable. Similarly, new airborne sensor platforms, particularly small, unmanned aircraft or drones, are enabling new applications for airborne fire sensing. In this review we outline the state of the art in direct, semi-automated and automated fire detection from both manned and unmanned aerial platforms. We discuss the operational constraints and opportunities provided by these sensor systems including a discussion of the objective evaluation of these systems in a realistic context.

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Journal ArticleDOI

Forestry applications of UAVs in Europe: a review

TL;DR: The use of UAVs in forestry will increase, possibly leading to a regular utilization for small-scale monitoring purposes in Europe when recent technologies (i.e. hyperspectral imagery and lidar) and methodological approaches will be consolidated.
Journal ArticleDOI

A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing

TL;DR: An overview of the optical remote sensing technologies used in early fire warning systems is presented and an extensive survey on both flame and smoke detection algorithms employed by each technology is provided.
Journal ArticleDOI

Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

TL;DR: A review of published literature that describes experimental methodologies developed for the study and monitoring of natural hazards is presented in this paper, where the authors present a review of the literature used for this purpose.
Journal ArticleDOI

SmokeNet: Satellite Smoke Scene Detection Using Convolutional Neural Network with Spatial and Channel-Wise Attention

TL;DR: This paper presents a new large-scale satellite imagery smoke detection benchmark based on Moderate Resolution Imaging Spectroradiometer (MODIS) data, namely USTC_SmokeRS, and proposes a new convolution neural network (CNN) model, SmokeNet, which incorporates spatial and channel-wise attention in CNN to enhance feature representation for scene classification.
Journal ArticleDOI

Distributed Wildfire Surveillance with Autonomous Aircraft Using Deep Reinforcement Learning

TL;DR: Teams of autonomous unmanned aircraft can be used to monitor wildfires, enabling firefighters to make informed decisions, but controlling multiple autonomous fixed-wing aircraft to maximize efficiency is a challenge.
References
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Journal ArticleDOI

An introduction to ROC analysis

TL;DR: The purpose of this article is to serve as an introduction to ROC graphs and as a guide for using them in research.
Book

Signal detection theory and psychophysics

TL;DR: This book discusses statistical decision theory and sensory processes in signal detection theory and psychophysics and describes how these processes affect decision-making.
Journal ArticleDOI

Unmanned aerial systems for photogrammetry and remote sensing: A review

TL;DR: In this paper, the authors discuss the evolution and state-of-the-art of the use of UAVs in the field of Photogrammetry and Remote Sensing (PaRS).
Journal ArticleDOI

Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1

TL;DR: The Moderate Resolution Imaging Spectroradiometer (MODIS), with 36 bands and 0.5-km geometric instantaneous-fields-of-view (GIFOVs) at nadir, has completed system level testing and has been integrated onto the Earth Observing System (EOS)-AM1 spacecraft, which is slated for launch in 1998.
Journal ArticleDOI

A method for satellite identification of surface temperature fields of subpixel resolution

TL;DR: In this paper, surface radiant temperature fields of subpixel spatial resolution from satellites which contain more than one channel in the thermal infrared spectral region are measured in terms of contributions from two temperature fields, each occupying a portion of the pixel, where the portions are not necessarily contiguous.
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