Predicting Fire Hazard Areas Using Vegetation Indexes, Case Study: Forests of Golestan Province, Iran

Akram Karimi, Sara Abdollahi, Dr. Kaveh Ostad-Ali-Askari, Saeid Eslamian, Vijay P. Singh

Abstract


Every year, hundreds of fires occur in the forests and rangelands across the world and damage thousands hectare of trees, shrubs, and plants which cause environmental and economical damages. This study aims to establish a real time forest fire alert system for better forest management and monitoring in Golestan Province. In this study, in order to prepare fire hazard maps, the required layers were produced based on fire data in Golestan forests and MODIS sensor data.

At first, the natural fire data was divided into two categories of training and test samples randomly. Then, the vegetation moisture stresses and greenness were considered using six indexes of NDVI, MSI, WDVI, OSAVI, GVMI and NDWI in natural fire area of training category on the day before fire occurrence and a long period of 15 years, and the risk threshold of the parameters was considered in addition to selecting the best spectral index of vegetation. Finally, the model output was validated for fire occurrences of the test category. The results showed the possibility of prediction of fire site before occurrence of fire with more than 80 percent accuracy.


Full Text:

PDF

References


_Arab, H., Kanniah & Solaimani, 2011. GIS-based Probability Assessment of Fire Risk in Grassland and Forested Landscapes of Golestan Province, Iran, International Conference on Environmental and Computer Science IPCBEE vol.19(2011) © (2011) IACSIT Press. 66.

_Adhami Mojaddar MH., Mousavir A, Honardoost F., 1390. Fire hazard zonation using GIS, AHP case study - Caspian forests of northern Iran-Golestan province, 11 p

_A. Murta ozbayoglu & Recep Bozer,. 2012 Estimation of the burned area in forest fires using computational intelligence techniques in Conference Organized by Missouri University of Science and Technology Washington D.C.

_Ardakani, S. Voldazoj M; Mohamadzade A and Mansurian 2010; Spectroscopic Spectroscopic Characterization of Fire and Field Objectives for Identification and Separation in Remote Sensing Data. PhD thesis Khaje Naseerdin Toosi University of Technology, Geo-geomechanics faculty-

-B. C. Gao, “NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space,” Remote Sens. Environ., vol. 58, pp. 257–266, 1996

-Ceccato, P.; Gobron, N.; Flasse, S.; Pinty, B. & Tarantola, S. 2002. Designing a spectral index to estimate vegetation water content from remote sensing data. Part 1 Theoretical approach. Remote Sens. Environ. 82, 188–197.

_Chuvieco, E.& Congalton, R.G, 1989. Application of remote sensing and geographic information system to forest fire hazard mapping. Remote Sens. Environ. 29, 147–159

-Clevers, J. G. P. W. (1989). The application of a weighted infrared-red vegetation index for estimating leaf area index by correcting soil moisture. Remote Sensing of Environment, 29, 25–37.

_Dong, X., Min, D., Guo-fan, SH., Lei, T. & Hui, W., 2005. Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilin, China. Journal of Forestry Research, 16(3): 169-174.

_Ghobadi, G.J., B. Gholizadeh & O.M. Dashliburun, 2012. Forest fire risk zone mapping from geographic information system in Northern Forests of Iran (Case study, Golestan Province), International Journal of Agricultural Crop Science, 4(12): 818-824.

_Hedayati M, 2003. Review Forestry Spruce Something North of Iran, Journal of Forest and pasture NO55

_Huete, A. R., 1988. a Soil-adjusted vegetation index. Remote sensing of environment, Vol.25, pp.295-309

-Hunt, E. R., Jr and B.N. Rock, 1989. Detection of changes in leaf water content using near- and middle-infrared reflectances, Remote Sensing of Environment, 30: 43- 54.

Jazirei, M, 2005. Forest Conservation, Tehran University Press, 230 p

- Merino-de-Miguel, S., Huesca, M., González-Alonso, F., 2010. Modis reflectance and active fire data for burn mapping and assessment at regional level. Ecological Modelling 221, 67-74

-Mohammadi F, Shabani N, Pourhashemi Mi & Fatahi P, 2010. Preparation of forest fire hazard map using GIS and AHP in part of Pave forest. Journal of Forest and Poplar Research. Vol. 18 No. 4. 586-569.

–_Mosavari,A & adhami, . 2012 Fire hazard zonation using GIS, AHP case study - Caspian forests of northern Iran-Golestan province, 11 p. in Persian

-Portillo-Quintero, C., Sanchez-Azofeifa, A., Marcos do Espirito-Santo, M., 2013. Monitoring deforestation with MODIS Active Fires in Neotropical dry forests: An analysis of local-scale assessments in Mexico, Brazil and Bolivia. Journal of Arid Environments 97, 150-159

-Rouse, J. W., Haas, R. H., Schell, J. A., Deering, D. W., & Harlan, J. C. (1974). Monitoring the vernal advancement of retro gradation of natural vegetation. NASA/GSFC, Type III, final report, Greenbelt,MD.

- Rondeaux, G., Steven, M., & Baret, F. (1996). Optimization of soil-adjusted vegetation indices. Remote Sensing of Environment, 55, 95−107.

-) _Shariati nezhad , sh, 2008. The role and position of forests and pastures and watershed management for the management, development and supply of raw materials of wood and paper industry of the country. Proceedings of the First National Conference on the Supply of Raw Materials for the Wood and Paper Industry of the country, Gorgan University in Persian

_Sharma, D., V. Hoa, T.V. Cuong, H.T. Tuyen& N. Sharma, 2009. Forest Fire Risk Zonation for Jammu District forest division using Remote Sensing and GIS. 7th FIG Regional Conference, Spatial Data Serving People: Land Governance and the Environment – Building the Capacity. Hanoi, Vietnam, 19-22 October, 1-12

-Shorfi, s., 2012 Investigation and zoning of susceptible forest areas using RS and GIS, National Conference on Forests of Central Zagros in Persian

_Sowmya, S.V. and Somashekar, R.K., 2010. Application of remote sensing and geographical information system in mapping forest fire risk zone at Bhadra wildlife sanctuary, India, Journal of Environmental Biology, November 2010, 31(6) 969-974

_Yadgar nezhad, A. &deilam Jafarabadi, M., 2009 Comparison of fire damage of two broad-leaved and broad-leaved broadleaf masses mixed with leaf needles in Golestan province. International Conference on Climate Change and Tree Chronology in Caspian Ecosystems in Persian

_Ying, h., Kong, FH. and Li, XZ., 2004. RS and GIS-based forest fire zone mapping in dahinggan mountains. Chinese Geographical Science 14 (3): 251-257.in Persian




DOI: http://dx.doi.org/10.24294/jgc.v2i1.451

Refbacks



Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License

This site is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.