Land use/cover mapping usig satellite data and geographic information system (GIS) (Case study: Mouteh wild life sanctuary)

Subject Areas : environmental management

Vahid  Rahdary ¹ (- PhD student of Environment, Isfan University of Technology, Lecturer of Zabol university Department of Natural Resources Faculty.)
Alireza  Soffianian ² (-Assistant professor, Department of Natural Resources, University of Technnology, Isfehan, Iran.)
Saeideh  Maleki Najfabdai ³ (PhD student of Environment, Isfan University of Technology, Lecturer of Zabol university Department of Natural Resources Faculty)
Seyed Jamaleddin  Khajeddin ⁴ (Professor, Department of Natural Resources, University of Technnology, Isfehan, Iran)
Meysam  Rahdari ⁵ (Lecturer of zahedan payamenor university, project management group)

Received: 2010-01-28 Accepted : 2010-10-11 Published : 2016-03-20

Keywords: Mouteh wild life sanctuary, Land use/cover, Satellite Data, Image classification, Vegetation Index, Hybrid classification, map accuracy,

Abstract :

Introduction: Nowadays remote sensing and geographic information systems (GIS) are excellent tools to use in land use and land cover mapping. Identification land use /cover arrangement can help to proper land management. Material and Methods:In this study for Mouteh wild life sanctuary’s land use land cover mapping IRS-P6, LISS III data which is planned at the same time with field sampling was taken in jun 2006were used. After preparing the satellite data, the geometric correction was applied to an image with the 0.65 mean square error. In the next step, due to being the mountainous zone topographic correction was performed on the image.Finely land use/cover maps were produced by using combinatorial classification method. Vegetation cover percentage map was prepared by using SAVI index and field sampling. Each land use/cover map was produced using several image processing. Using GIS technique Land use/cover layer combined together and land use/cover map was produced. In order to thematic accuracy assess Kappa coefficient and total accuracy were calculated respectively equal: 0/92 and 0/94 that shown proper image classification. Results: Study result show that vegetation cover with 0-10% crown has highest area in region with 81690(ha) either mining residential area was respectively 828 and 249(ha). Discussion And Conclusions:Result shown that hybrid classification method has high ability for land use/cover mapping especially when land use/cover have similar reflectance that common classification methods such as supervise and unsupervised classification can not produce proper maps. 

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