Monitoring of Rangeland vegetation changes in Alborz Province(Iran) using the simple ratio index

Paper Details

Research Paper 01/11/2013
Views (386) Download (13)
current_issue_feature_image
publication_file

Monitoring of Rangeland vegetation changes in Alborz Province(Iran) using the simple ratio index

Morteza Hoseini Tavassol, Hosein Arzani, Manocher farajzadeh Asal, Mohamad jafary, Sasan babaie Kafaki
J. Bio. Env. Sci.3( 11), 78-85, November 2013.
Certificate: JBES 2013 [Generate Certificate]

Abstract

Vegetational dispersion and rate of changes over the time, showing the ecosystem succession is in regressive or progressive process. There are several ways of checking for changes of vegetation such as field studies and long-term inventory. Today, one of the ways that can help us in this process is using the satellite imagery and remote sensing instruments. In this study changes in rangeland vegetation of Alborz Province between years of 2000 and 2011 was monitored in seprated counties using satellite images of TM and ETM + . the simple ratio (SR) index, and its relationship with the field data in 55 types of vegetation was investigated. Results showed that the index has a correlation with the actual vegetation in 0.05 level and has a minus correlation with the soil at the 0.01 level. Significantly Taleghan county has the highest density of vegetation. After that, there are other counties of Savojbolagh, Karaj, Eshtehard and Nazarabad, respectively. Comparing the averages from view point of similarity in the behaivor of index changes showed that Taleghan, Savojbolagh and Karaj are classified in one group and Eshtehard and Nazarabad in a another group. Investigating the Process of vegetation changes showed that vegetation has reduced and then increased after 2000 to 2002. the amount of vegetation has also increased in 2011 compare with 2000.

VIEWS 12

Anderson JE, Holte RE. 1981. Vegetation development over 25 years without grazing on sagebrush dominated rangeland in southeastern Idaho. J. Rangemanagement 34, 25-29.

Bannari A, Morin D, Bonn F, Huete AR. 1995. A review of vegetation indices. Remote Sensing Reviews 13, 95- 120.

Bedell TE, Cox KT.1994. Monitoring Bureau of Land Management Rangelands. Extension assistant, rangeland resources, Oregon State University, 25-35.

Chambers JC, Brown RE. 1983. Methods for Vegetation Sampling and Analysis on Revgetated Mined lands. Intermountian Forest and Range Experiment Station. General Technical Report, 100-151.

Fatemi SB, Rezaei Y. 1385. Principles of remote sensing. Emissions free, 210- 257.

Gorr L, Kristen S. 2010. GIS Tutorial Basic Workbook. Esri Press, 412- 428.

Graetz, RD. 1987. Satellite remote sensing of Australian rangelands. Remote Sensing of Environment 23, 313-331.

Huete A, Didan R, Miura K, Yin Y. 2002. MODIS Vegetation Workshope, Missoula, Montana, July 15-18; Terrestrial Biophysics and Remote Sensing (TBRS) MODIS Team, 20-36.

Iqbal MM, Clarke GM. 2003. Visual Least-Significant-Difference and Visual Coefficient of Variation Methods for Screening of Experimental Treatments for Large Number of Response Variables. Pakistan Journal of Applied Sciences 3, 280-290.

Jafari RM, Lewis M, Ostendorf B. 2007. Evaluation of vegetation indices for assessing vegetation cover in southern arid lands in South Australia. The Journal of Rangeland 29, 39-49.

Jordan, CF. 1969. Derivation of leaf area index from quality of light on the forest floor. Ecology 50, 663–666.

Malo AR, Nicholson, SE. 1990, A study of rainfall and vegetation dynamics in the African Sahel using normalized difference vegetation index, Journal of Arid Environments 19, 1–24.

Muir S, Maclaran MP. 1997. Rangeland inventory, Monitoring, and evaluation, Annals of Botany 93, 691-697.

Norusis, M. 2004. SPSS 13.0 Statistical Procedures Companion. Upper Saddle-River, N.J.: Prentice Hall, 45-70.

Ole ET, Wolfgang S. 2002. Applications of spatial interpolation of climatological and Meteorological elements by the use of geographical information 719, 1-45.

Pickup G. 1989. New land degradation survey techniques for arid Australia: problems and prospects. Australian Rangeland Journal 11, 74-82.

Pickup G, Chewings VH, Nelson DJ. 1993. Estimating changes in vegetation cover over time in arid rangelands using Landsat MSS data. Remote Sensing of Environment 43, 243-263.

Pourhadi   M, Mohtashamnia S, Mahdavi M. 2012 .Determining the Most Suitable Vegetation Index for Seperating Ecotone Boundaries in Arid Rangelands Using Satellite Data. J. of Range 4, 677-685.

Purevdorj Ts, Tateishi R, Ishiyama T, Honda Y. 1998. Relationships between percent vegetation cover and vegetation indices. International Journal of Remote Sensing 19, 3519-3535.

Richards, J.A., 1999, Remote Sensing Digital Image Analysis, Springer-Verlag, Berlin, 220- 240.

Santhosh S, Baboo M, Renuka D. 2011. Geometric Correction in Recent High Resolution Satellite Imagery: A Case Study in Coimbatore, International Journal of Computer Applications 14, 0975-8887.

Sellers PJ. 1985. Canopy Reflectance, Photosynthesis and Transpiration. International Journal of Remote Sensing 6, 1335-1372.

Stenberg P, Rautiainen M, Manninen T, Voipio P, Smolander, H. 2004. Reduced simple ratio better than NDVI for estimating LAI in Finnish pine and spruce stands. Silva Fennica 38, 3–14.

Thiam A, Eastman JR. 2001. Vegetation indices in IDRISI 3.2 release 2, guide to GIS and image processing 2, 10-20.

Tueller PT. 1987. Remote sensing science applications in arid environment. Remote Sensing of Environment 23, 143-154.

Zubair M, Majd, A. 2009. Introduction to Remote Sensing Technology and Application of Natural Resources. Tehran University Press, p.317.