Approach for Fire Detection Using Image Processing
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0892-5_18
Reference9 articles.
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)
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