Application of the BAI index for the classification of the burned area in ground measurements

• Autorzy: Szajewska Anna
• Języki publikacji: EN

Abstrakty

EN

Quick determination of the area of the burned forest or field caused by the fire is important when estimating losses, monitoring the rebirth of vegetation on the site of fire and planning strategies for forest reconstruction. In order to provide quick information about the area burned by large fires, the BAI index (Burn Area index) is used. This index is obtained using optical methods of satellite remote sensing. In Poland, most fires are the fires of soil cover, the area of which does not exceed 1 ha. In such cases, the use of satellite technology is not applicable due to a number of limitations that are discussed in the text. The article presents the possibility of using the BAI index from a small height. Since the BAI index was originally used for satellite measurements, the article discusses the differences in ground measurements. Experimental research has been described and results from controlled firing have been presented.

Słowa kluczowe

EN

BAI; burned area classification; remote sensing; wildfire

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2019
• Tom: Vol. 65, No. 2
• Strony: 37--40
• Opis fizyczny: Bibliogr. 11 poz., rys., wykr., wzory

Twórcy

autor

Szajewska Anna

• The Main School of Fire Service, Faculty of Fire Safety Engineering Słowackiego Str. 52/54, 01-629 Warsaw

Bibliografia

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• [7] Yengoh G. T., Dent D., Olsson L., Tengberg A. E.: Tucker III C. J.: Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales. Springer, pp 17-25, 2015.
• [8] Szajewska A.: Termowizja w ochronie przeciwpożarowej, SGSP, pp. 2018.
• [9] Escuin S., Navarro R., Fernández P.: Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from LANDSAT TM/ETM images. International Journal of Remote Sensing, Vol. 29, no. 4, pp. 1053-1073, 2008.
• [10] Huete A. R., A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, vol. 25, no. 3, pp. 295-309, 1988.
• [11] Filipponi F.: BAIS2: Burned Area Index for Sentinel-2. The 2nd International Electronic Conference on Remote Sensing, 22 March–5 April, 2018.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).