Журнал Российского общества по неразрушающему контролю и технической диагностике
The journal of the Russian society for non-destructive testing and technical diagnostic
 
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22 | 12 | 2024
2014, 10 October

DOI: 10.14489/td.2014.010.pp.057-060

 

Mehdiyev J. S.
QUESTIONS ON CONTROL AND ASSESSMENT OF FIRE DANGER OF FOREST ZONES
(pp. 57-60)

Abstract. The analysis showed, that the known forest fire danger index (FFDI) has a set of modifications. It was found, that the substitution of draught factor in the known formula of FFDI with parameter of steepness of regression between surface temperature and NDVI gives us the differential equation, the solution of which make it possible to propose the new modified index of forest fire danger. It was also shown, that the new modified index is more universal, it includes the cases when the correlation between surface temperature and NDVI is both negative and positive.

Keywords: fire danger, normalized vegetation index, soil, forest, humidity.

 

J. S. Mehdiyev
National Aviation Academy of Azerbaijan Republic, Baku, Azerbaijan. E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.  

 

 

1. Malik T., Rabbani G., Farooq M. (2013). Forest fire zonation using remote sensing and gis technology in Kansrao forest range of rajaji National Park, Uttarakhhand, India. International Journal of Advanced Remote Sensing and GIS, 2(1), pp. 86-95.
2. Erten E., Kurgun V., Musaoglu N. (2004). Forest Fire Risk Zone Mapping from Satellite Imagery and GIS a Case Study. Tur-key. Istambul.
3. Jaya N., Purnama E. S., Ariant I., Boonyanuphap J. (2007). Forest Fire Risk Assessment Model and Post-fire Evaluation Using Remote Sensing and GIS: A Case Study. The Forest Resto-ration and Rehabilitation Resources Institute (VITRI) of the University of Helsinki. Finland. Helsinki.
4. Liu S., leslie L., Speer M., Bunker R. (2003). Predicting Forest Fire Danger Using Improved Model Derived Soil Moisture and Antecedent Precipitation. Proceedings of International Congress of Modelling and Simulation. Townsville. Australia, pp. 642 – 647.
5. Rorhermel R. C., Wilson R. A., Morris G. A., Sackett S. S. (1986). Modeling Moisture Content of Fine dead Wildland Fuels. BEHAVE Fire Prediction System. USDA For. Ser. Res. Pap. INT-359. Interm. Res. St., Odgen, Utah.
6. Burgan R. E., Klaver R. W., Klaver J. M. (1998). Fuel models and fire potential from satellite and surface observa-tions. International Journal of Wildland Fire, 8(3), pp. 159-170.
7. Griffiths D. (1999). Improved formula for the drought fac-tor in Mcarthur’s forest fire danger meter. Australian Forestly Journal, 62(2), pp. 210-214.
8. Asadov Kh. G., Fatullaev S. A., Zeinalov A. N. (2012). Remote control of soil pollution using spectral vegetation indi-ces. Kontrol'. Diagnostika, (3), pp. 65-69.
9. Verbesselt J., Fleck S., Coppin P. (2002). Estimation of Fuel Moisture Content Fire Risk Assessment: A Review. Forest Fire Research & Wildland Fire Safety, Viegas (ed.). Rotterdam: Millpress.
10. Burgan R. E., Andrews P. L., Bradshaw L. S. et al. (1997). WFAS: Wildland Fire Assessment System. Fire Management Notes. 157(2), pp. 14-17.
11. Burgan R. E., Hartford R. A. (1997). Live Vegetation Moisture Calculated from NDVI and Used in Fire Danger Rating. 13th Conf. on Fire and For Met. Lorne, pp. 27-31.
12. Karnieli A., Agam N., Pinker R.T. et al. (2010). Use of NDVI and Land Surface Temperature for Drought Assessment: Mer-its and Limitations. Journal of Climate. 23, pp. 618-633. doi: 10.1175/2009JCLI2900.1.

 

 

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