Journal Article10.12677/aam.2022.116339
Research on Forest Fire Monitoring Technology Based on UAV and Convolutional Neural Network
About: This article is published in Advances in Applied Mathematics. The article was published on 01 Jan 2022. The article focuses on the topics: Convolutional neural network & Computer science.
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References
Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle
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A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques
TL;DR: Technologies related to UAV forest fire monitoring, detection, and fighting are briefly reviewed, including those associated with fire detection, diagnosis, and prognosis, image vibration elimination, and cooperative control of UAVs.
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TL;DR: In this article, the authors review the carbon sequestration cost studies of the past dozen years that have evaluated the cost-effectiveness of the forestry option and conclude that the secondary benefits of agricultural land conversion to forests may be as great as the costs.
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