Investigation of the variations of middle zagros forests area between using aerial photo interpretation and use of GIS (case study: Kaka Reza region of Lorestan province)
Subject Areas : forestآرش Derikvandi 1 , مهری Khosravi 2 , مجتبی Taseh 3 , امین Heidarpour Monfared 4
1 - دانشجوی دکتری، دانشگاه تهران، گروه جنگلداری، تهران، ایران
2 - کارشناس ارشد، دانشگاه یزد، گروه جنگلداری، یزد، ایران
3 - دانشجوی دکتری، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، گروه جنگلداری، تهران، ایران
4 - دانشجوی دکتری، دانشگاه مازندران، گروه جنگلداری، ساری، ایران
Keywords: Lorestan, Zagros, Oak, Forest, Aerial photos, Kaka Reza,
Abstract :
Abstract: This study cognitional changes area and accumulation in various gradients and altitudes of these forests is studied via aerial photos in 1955 (1:55000) and in 1997 (1:40000). For this purpose, geometric corrections are done as the movement correction issued from ups and downs on the pictures taken in the air is performed, then the forest frontier localities are fixed through sight inter pretation and thickness layers of canopy was appointed in a dotted network with the width of 2 millimeters. The frontier line of separated layers is drawn in Arcview software in the form of closed polygons and the area of these polygons are measured separately. Then any changes in area of these polygons in every stage of photographs are compared through software and the layer changes of the thickness of canopy are provided. Then, the prepared gradient and altitude maps in the three classes in ArcView software and from combining each of these maps with density map in the years 1955 and 1997, the forest changes were found in different classes of gradient and altitude. Results shows that the bulk density of the forest in classes of dense (F1) and semi-dense (F2) is with most of the area in gradient class (30-60 %) and the lowest is in the area of gradient class (more than 60 % ). But the class of sparse density (F3) is with most of the area in gradient class (30-60 %) and the lowest is in the area of gradient class (0-30 %). In addition, results shows that the surface dense density classes (F1) and semi-dense (F2) and sparse (F3) possess is with most of the area in altitude (1700-2000 m) and the lowest is in the area of altitude class (more than 2000 meters).
References
1-Alrababah, M.A., M.N. Alhamad, 2006. Land use/cover classification of arid and semi-arid Mediterranean landscapes using Landsat ETM. International Journal of Remote Sensing, 27: 2703-2718.
2- Delafkaran, A., 2002. History of Photography in Iran. Journal of Mapping, 11: 5-10.
3-Dunbar, M.D., L.M. Moshkal, M.E. Jakubauskas, 2004. 3D Visualization for the Analysis of Forest Cover Change. Kansas Applied Remote Sensing (KARS) Program and Department of Geography.
4-FAO., 2002. www.fao.org/forestry/site/23747/en/irn, visited on 21 December.
5-Ghazanfari, H., M. Namiranian, H. Sobhani, M.R. Mohajer, 2004. Traditional Forest Management and its Application to Encourage Public Participation for Sustainable Forest Management in the Northern Zagros Mountains of Kurdistan Province, Iran. Scandinavian Journal of Forest Research, 19: 65-71.
6-Hajarian, M., 2005. Investigation of quantitative changes of Mangro forests, Qeshm Island using aerial photos and satellite images in a 40-year period. M.Sc. thesis, faculty of natural resources, Tehran University, 124 p.
7-Hosseini, A., M.H. Moayeri, H. Heidari, 2008. Effect of site elevation on natural regeneration and other characteristics of oak (Quercus brantii) in the Hyanan,s forest Ilam. Journal of Agricultural Sciences and Natural Resources. 15:1-10.
8-Jalali, G., B. Ersali Hagi Agha, M.R. Pour Majidian, M. Hosseini, 2003. Effect of elevation and soil changes on natural regeneration and other characteristics of Oak tree in Galandrood Forest, Noshahr. Journal of Research and Construction. 58:89-96.
9-Manteghi, A., M. Sammak, 2000. Announcement of updated statistics of northern forests area using aerial photos of year 1994, and assessment of the resulted changes in comparison with statistics of previous years. National Conference of northern forests management and sustainable development, Ramsar, 6 p.
10-Marvi Mohajer, M.R., 1984. A study on Oak Forest in Loveh, Gorgan. Journal of Natural Resources of Iran. 37:41-56.
11-Mortazaee, Sh, 2005. Survey of changes and classification of land use in central part of Zanjan town by using Landsat satellite image. M.Sc. Thesis. Gilan University, 97 p. (In Persian)
12-Natural resources ministration of Lorestan province, 2004. Kakareza multi-purpose forestry plan.
13-Pirbavaqar, M., 1982. Investigation of forest area variations related to topographic factors and regions built by human (A case study: eastern forests of Gilan province). MSc. thesis, faculty of natural resources, Tehran University, 136 p.
14-Pourreza M., J. Shaw, H. Zangeneh, 2008. Sustainability of wild pistachio (Pistacia atlantica Desf.) in Zagros forests, Iran. Journal of Forest Ecology and Manage, 255: 3667–3671.
15-Rafieyan, A., 2003. Investigation of the variations of northern forests area between years 1994-2001 using sensor images ETM+. M.Sc. thesis, Tehran University, 126 p.
16-Rafieyan, A., A. DarvishSefat, & M. Namiranyan, 2006. Determination of forest extent change by using ETM+ image, in the northern forest of Iran between 1994 to 2001 (Case study, Babol forests). Science and Technology of Agricultural and Natural Resources Sciences, 3:277-285. (In Persian)
17-Sachs, D.L., S. Phillip, W.B. Cohen, 1998. Detecting landscapes changes in the interior of British Columbia from 1975 to 1992 using satellite imagery, Journal of Forest Research, 28: 23-36.
18-Sadeghi, A., 2005. Investigation of area and density variations of Mangro in Oman Sea basin (Jask and Ciric region). M.Sc. thesis, Islamic Azad University, Sciences and Researches branch, 89 p.
19-Shataee, Sh., 1996. Forest mapping using satellite image with digital method. M.Sc. Thesis. Tehran University, 103 p. (In Persian)
20-Tavakoli, M, 1996. Trend of qualitative and quantitative changes of northern Zagros forests through aerial photos interpretation technique. M.Sc. thesis, faculty of natural resources, Tehran University, 71 p.
21-Yuan, F., K.E. Sawaya, B. Loeffelholz, M.E. Bauer, 2005. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multi temporal Landsat remote sensing. Remote Sensing of Environment, 98: 317-328.