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2024 | OriginalPaper | Chapter

Approach for Fire Detection Using Image Processing

Authors : Aniruddha Bardekar, Mohammad Atique

Published in: Proceedings of Third International Conference on Computing and Communication Networks

Publisher: Springer Nature Singapore

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Abstract

Huge devastation to humans, and the environment is caused by forest fires, which are one of the forces of nature that are hard to control. Forest ecosystems are destroyed because of this uncontrollable calamity. In this paper, a review is made on previous works done in the field of technology that could be beneficial to detect, control forest fires. Technologies such as GIS, image processing are main sources of this review, further study about these technologies is done in that light. This paper provides, focuses on the usage of the above-mentioned technologies in combating forest fire incidences.

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Literature
1.
Angelino, C.V., Cicala, L., Parrilli, S., Fiscante, N., Ullo, S.L.: Post-fire assessment of burned areas with landsat-8 and sentinel-2 imagery together with MODIS and VIIRS active fire products. In: 2020 International Geoscience and Remote Sensing Symposium, pp. 6770–6773 (2020).https://​doi.​org/​10.​1109/​IGARSS39084.​2020.​9324512
2.
Bin, W., Ming, L., Dan, J., Suju, L., Qiang, C., Chao, W., Yang, Z., Huan, Y., Jun, Z.: A method of automatically extracting forest fire burned areas using GF-1 remote sensing images. In: International Geoscience and Remote Sensing Symposium, pp. 9953–9955 (2019)
3.
Pleniou, M., Xystrakis, F., Dimopoulos, P., & Koutsias, N.: Maps of fire occurrence—spatially explicit reconstruction of recent fire history using satellite remote sensing. J. Maps, 1–8 (2012).
4.
Petkovic, M., Garvanov, I., Knežević, D., Aleksić, S.: Optimization of geographic information systems for forest fire risk assessment. In: IEEE Xplore (2020)
5.
Ruiz-Ramos, J., Marino, A., Boardman, C.P.: Using Sentinel 1-SAR for monitoring long term Variation in burnt forest areas. In: International Geoscience and Remote Sensing Symposium, pp. 4901–4904 (2018)
6.
Anath, S., Manjula, T. R., Niranjan, G. S., Kumar, S., Raghuveer, A., Raju, G.: Mapping of burnt area and burnt severity using Landsat 8 images: a case study of Bandipur forest fire region of Karnataka. In: IEEE Recent Advances in Geosciences and Remote Sensing: Technologies, Standards and Applications (2019).https://​doi.​org/​10.​1099/​TENGARSS48957.​2019.​8976037.
7.
Salvador, R., Díaz-Delgado, R., Valeriano, J., Pons, X.: Remote sensing of forest fires. In: Center for Ecological Research and Applied Forestry (2019)
8.
Laneve, G., Díaz-Delgado, R., Valeriano, J., Pons, X.: Satellite based products for supporting forest fires prevention and recovery in Europe. In: IEEE Xplore (2016)
9.
Metadata
Title
Approach for Fire Detection Using Image Processing
Authors
Aniruddha Bardekar
Mohammad Atique
Copyright Year
2024
Publisher
Springer Nature Singapore
Book
Proceedings of Third International Conference on Computing and Communication Networks

Print ISBN: 978-981-9708-91-8

Electronic ISBN: 978-981-9708-92-5

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-981-97-0892-5_18