Assessment of changes trend of land cover with use of remote sensing data in Hamoon wetland

Paper Details

Research Paper 01/05/2014
Views (133) Download (7)

Assessment of changes trend of land cover with use of remote sensing data in Hamoon wetland

Seyyed Ali Mousavi, AliReza Shahriari, Akbar fakhire, Abolfazl Ranjbar Fordoii, Vahid Rahdari
J. Bio. Env. Sci.4( 5), 146-156, May 2014.
Certificate: JBES 2014 [Generate Certificate]


Vegetation cover and measurement of its changes as a principle is required in the areas of natural resources for the better and more effective planning of programmers. Remote Sensing (RS) as a technique is an appropriate instrument for monitoring land use and vegetation cover. For the purpose of evaluating changes of detection and vegetation cover in Hamoon wetland as one of important wetlands in Iran, was used of satellite images from remote landsats TM of 1987, 1995, 2005 and also remote satellite LissIII of 2010. Simultaneous measurements of vegetation cover was conducted with field monitoring in the study area for verification in July 2010. The maps of land use and land cover was prepared by combined classification. Also for decreasing effects of soil reflectance was used from vegetation indices that get low impacts from soil reflectance. In this research significant correlation was observed between plant parameter and plant indexes of SAVI. This index had the most description sufficiency of vegetation cover percentage. By the mentioned index, the map of vegetation cover and land use percentage was supplied in the 5 classes also with use of GIS and RS techniques. Class 1, Vegetation cover less than 20%, class2 is 20-60%, class3 is >60%, also supplied watery layers and Saline soil layers. In order to detect changes, then the maps were combined and revealed that the amount of vegetation cover on the class 1 decreased from 1987-1995 and incresed from 1995 – 2005 and 2005- 2010. vegetation cover of Class 2 increased between 1987 -1995. It decreased from 1995- 2005 and 2005 – 2010. The vegetation cover of class 3 increased between 1987- 1995 and decreased in 2005 and increased in 2010 again. This range had fuluctuations. The reason of fluctuations in Hamoon wetland vegetation cover was changes in rainfall and water input into the Hirmand River.


Alavi  Panah  SK.  2004.  Application  of  Remote Sensing in Geosciences, Tehran University Press, Iran.

Alavi Panah SK. 2004. Application of remote sensing in the earth science (soil) university of tehran press, Iran.

Anderson JR, Ernest EH, John TR, Richard EW. 1976. A land Use and land cover classification system for use with remote sensor data, USGS Professional Paper 964.A revision of the landuse classificationsystem a presented in the USGS cicular 671.

Arzani H.1376. Landsat TM digital data used in the estimation of vegetation, Iranian Journal of Natural Resources, Number 1, Et alume 50

Darvish sefat A. 1999. Thematic GIS data based maps accuracy assessment, 5th geographic information system conference.

Iranian Remote Sensing Center, the satellite IRS,

Kamusoko C, Aniya M. 2006. Landuse/cover change and landscape fragmentation analysis in the Bindura district Zimbabwe”, Land Degradation & Development.18 , 221-233

Khajedin SJ, Purmnafy S .2007. paddy placement ZAianderood river margins in the region of Isfahan by satellite sensors with digital data” IRS “Science and Technology of Agriculture and Natural Resources, in the eleventh , 1 first number (a) spring.

Khajedin SJ. 1996. Using satellite data from Landsat MMS 5 the study of plant communities and determine Jazmoryan saline land area. Proceedings of the Second Conference on Desertification and different ways, first edition, Publisher: Institute of Forests and Rangelands Research, Publication No. 175, pp. 48-41.

Khajedin SJ. 2006. Remote Sensing course booklet, Isfahan University of Technology, Faculty of Natural Resources, unpublished.

Khajedin SJ. 1995. Asurvey of the plant communities of the Jazmorian,IRAN,using Landsat MSS data, university of reading.

Ling-Chen X, Zhao HM, Li PX, Yin ZY. 2006. Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes.Remote Sensing of Environment 104, 133-146.

Luna AR, Cesar AR. 2003. Land use, land cover changes and costal lagoon surface reduction associated with urban growth in northwest Mexico” Landscape Ecology, Et al.18, pp.159-171.

Masoud AA, Koike K. 2006. Arid land sanilization detected by remotely-sensed land cover changes:A case study in the siwa region, NW Egypt, Arid Environment, Et al.66, pp.151-167.

Nori G, Arbabi T, Nori S. 2008. Hamoun wetland, Sistan life .Sepehr press, 1 first Edition(a) spring

Rahdari V, Maleki NS, Araz zadeh Y, Rajab por M. 2010. Simultaneous using of GIS and remote sensing for change detection (Case study: Chah nimeh water reservoir in sistan), 2 th Geomatic conference.

Rahdari V, Maleki NS. 2010. Image classification method comparison for land use land cover mapping in arid and semi arid area,2 th Geomatic conference.

Rahdari V, Soffianian A, Khajeddin SJ, Maleki N. 2008. Land use and land cover change detection of Mouteh wild life refuge during 1972-2006 using remote sensing and geographic information system, World applied science Journal 3 (Supple 1): 113-118.

Rahdari V, Soffianian A, Maleki NS, Kahjeddin Sj. 2008. Mouteh wildlife refuge land use and land cover mapping using remote sensing data and geographic information system. journal of environment science and technology, in press.

Rahdari V. 2007. Mouteh Wildlife detection of structural changes during the years 1992 to 2006 using remote sensing (RS) and geographic information systems (GIS). MS Thesis, Isfahan University of Technology.

Sanaei Nejad SH. 2009. Study of Spectral Reflection on Wheat Fields in Mashhad Using Satelite images from MODIS, Journal of Science and Technology  of  Agriculture  and  Natural  Resources. Number 45.

Shamohammady Z, Maleki S. 2011. Hayat Hamoon book, published by the University Jehad Organization.1 first Edition.

Soffianian A, Maleki NS, Rahdari V. 2009. Reviewing of tow quantification landscape indices using GIS, journal of science and technology of agriculture and natural resource, water and soil science, N 4, 180-189

Yang X, Lo CP. 2002. Using a time series of satelite imagery to detect land use and land cover change in the Atlanta,Georgia metropolitan area. Remote sensing,Et al. 23, No.9, 1775-1798.

Yuan FKE, Sawaya BC, Loeffelholz M, Bauer E. 2005. Land cover classification and change analysis of the twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensing. Remote sensing of Environment, Et al. 98. pp: 317-328.

Zubairi M, Majd A. 2006. Introduction to Remote Sensing Technology and Its Application in Natural Resources, Tehran University, Institute of Publishing and Printing.3 th edition.