Document Type: Original Article


1 M.Sc. Student of forestry, University of Yazd, Yazd, Iran

2 M.Sc. Student of forestry, University of Tehran, Karaj, Iran

3 M.Sc. Student of forestry, University of Shahrekord, Shahrekord, Iran

4 Ph.D student of forestry, University of Shahrekord, Shahrekord, Iran


The preparation of vegetation cover maps by used the land inventory and a traditional method has a lot of cost and time. But today, remote sensing is one of the main sources of data collection and information production for study and monitoring land resources, and was efficient tools for providing quickly and timely data and information needs for program planning in the natural resource filed. In the variety of available remote sensing data the satellite images has a minimum of cost and time for creating vegetation cover maps. The aim of this study is the capability of Liss-III sensor from IRS- P6Resorce satellite for creating vegetation cover maps in the Chaharmahal and Bakhtiari Province   (the area of study site was 34177 ha) in the central zagros forest. By using the different methods includes the creating the color composite, principal component analysis and vegetation index enhancement the satellite image, Then by using the  supervised classification method and  maximum likelihood function the image was divided into four separate classes


Alavipanah, S.K., Poyafar, A.M., Khalilpoor, S.A., Mashhadi, N., 2001. Study of vegetation cover and salinity with RS & GIS (case study: saline River of Karaj). Journal of Research in Geography. 6(1): 69-86.
Anderson, J.R., 1976. A land use and land cover classification system for use with remote sensor data, US Govt. Print. Off.
Bolstad, P.V., Lillesand, T.M., 1991. Rapid maximum likelihood classification. Photogrammetric engineering and remote sensing. 57, 67-74.
Dwivedi, R.S., Sreenivas, K., 1998. Image transforms as a tool for the study of soil salinity and alkalinity dynamics. International Journal of Remote Sensing. 19, 605-619.
Ebrahimi Khousfi Z, Mirakbari M, Kalantari S, Ebrahimi Khousfi M, 2012. Presentation of the suitable model for determining of fraction vegetation in arid area using of Satellite dataIRSLissIII Case Study: Sade Nahrein-Tabas, Watershed Management Research, 94, 55-62.
Fattahi M, 1994. Study on Zagros oak forests and the most important their destruction causes. Institute of Forests and Rangelands Research press, Sanandaj, Iran.
Forest and Rangeland Organization of Iran, 2002. Strategies for sustainable forest management in Zagros forests, Technical Report, Forest and Rangeland Organization, Teheran, Iran, 70 p.
Haidari M, Shabanian N, Haidari R.H, Bazyar M, 2012. Structural diversity of oak forests in Kurdistan Province (Case study: Oak forest), IOSR Journal of Pharmacy and Biological Sciences (IOSR-JPBS), 4(3): 37-43.
Haidari M, Jalilvand H, Haidari R.H, Shabanian N, 2012. Study of Plant Biodiversity in Grazed and Nongrazed Areas in the Iran-o-Turanian Ecological Zones (Case Study: Yazd Province, IRAN), Annals of Biological Research, 3 (11):5019-5027.
Haidari M, Namiranian M, Gahramani L, Zobeiri M, Shabanian N, 2013. Study of vertical and horizontal forest structure in Northern Zagros Forest (Case study: West of Iran, Oak forest), European Journal of Experimental Biology, 3(1):268-278.
Hosseini S.A. O, Haidari M, Shabanian N, Haidari R.H, Fathizadeh O, 2012. The impact of single selection method logging on the tree and shrub diversity in the Hyrcanian forests, European Journal of Experimental Biology, 2 (6):2229-2237.
Khajeddin, S.J., 1995. A survey of the plant communities of the Jazmorian Iran, using LANDSAT MSS Data. Unpublished PhD Thesis. University of Reading.
Marvi-Mohajer MM, 2005. Silviculture, Tehran University Press, Tehran, Iran.
Masoud, AA, and K. Kike, 2006 .Arid land salinization detected by remotely –sensed land cover changes, a case study in the Siwa region. Nw Egypt, Journal of Arid Environments, 66, 151 -167.
Masoudi, M., Alavipanah, S.K., Nejabat, M., 2001. Accuracy assessment of supervised classification methods for landuse and cover mapping. Iranian Journal Of Range And Desert Research. 5, 14.
Matsushita, B., Yang, W., Chen, J., Onda, Y., Qiu, G., 2007. Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to topographic effects: A case study in high-density cypress forest. Sensors. 7, 2636-2651.
Moradi A, Oladi J, Fallah A and Fatehi P, 2009. Evaluation of the capability of IRS- LISS III and SPOTHRG data for identification and separation of pollarding forest areas in Northern Zagros (Case Study: Kurdistan, pollarded forests of Baneh), Iranian Journal of Forest and Poplar Research 17(3): 450-463.
Nassiri, A., 1998. Spatial and Spectral classification for provide land use map. Agriculture Ministry, Programming and Deputy and General Administration of Statistics and Information, NO 77/26.
Parma R, Shataee Sh, Khodakarami Y and habashi H, 2011. Capability Investigation on ETM+ Data for Forest Type Mapping in the Zagros Forests (Case Study Ghalajeh Forests, Kermanshah Province), J. of Wood & Forest Science and Technology, 18(1) 61-76.
Pir Bavaghar M, 2011. Evaluation of capability of IRS-P6 satellite data for predicting quantitative attributes of forests (case study: Northern Zagros forests), Iranian Journal of Forest, 3(4), 277-289.
Rafieyan O, Gashasi J and Ahmadi Sani N, 2008. Updating the Land Cover Map Using Satellite Data. In Order to Integrated Management of Natural Resources, World Applied Sciences Journal 3 (1), 48-55.
Rafiei R, Salman Mahini A, 2011. Determine land use change detection using LandSat and IRS satellite imagery through a post classification comparison, Journal of Applied RS & GIS Techniques in Natural Resource Science, 2(3), 51-61.
Rashid Amini M, Shataee Sh, Ghazanfari H.O and Moaieri M.H, 2008. Changes in Zagros's forests extention using aerial photos and satellite imagery (Case study, Armerdeh forests of Baneh), J. Agric. Sci. Natur. Resource, Vol. 15(2), 23-34.
Shataee S, Darvishsefat A.A and Sobhani H, 2007. Comparison of pixel-based and object-based approaches for forest type mapping using satellite data, Journal of the Iranian Natural Res, 60(3), 869-881.
Soosani J, Zobeiri M and Feghhi J, 2009. Application of aerial photographs and satellite images for visualization of forest cover changes (Case study: Zagros forests, Iran), Iranian Journal of Forest and Poplar Research 17(2), 236-249.