Position Estimation of Forest Fires using an Infrared Camera Based on Pan Tilt Servo

Abstract

Forest fires are often enlarged over extended periods of time, but if they are detected through image-based real-time monitoring, this would shorten the response time of fire fighters, thereby preventing great damage. When a forest fire occurs, it is often difficult to access the area and to accurately identify the location of its occurrence through monitoring images only. To overcome these problems, this paper proposes a method of detecting forest fires using infrared cameras and estimating the location of the forest fire by applying the space forward intersection method. Additionally, practicality verification was conducted through an outdoor ignition experiment, and the measurement accuracy of distance was compared.

AutoST-Net: A Spatiotemporal Feature-Driven Approach for Accurate Forest Fire Spread Prediction from Remote Sensing Data

“…However, it is worth noting that although the severity of fires may be escalating in certain regions [2,3], recent studies reveal a global decrease in fire frequency as a result of human activity [4,5]. Proactive preventive measures, coupled with monitoring fire occurrences and predicting their spread, can significantly contribute to minimizing disaster losses [6,7]. Satellite remote sensing and computer vision provide appropriate methods for prevention.…”