تهيه نقشه و پايش تغييرات كاربري اراضي حوزه كال شور خراسان شمالي با استفاده از تصاويرماهواره اي

چكيده انگليسي :

Mapping and monitoring land use changes in Kale Shore basin North Khorasan using satellite imagery Nafiseh Ramezani nafiseh ramezani@yahoo com Date of Submission Fubruary 7 2011 Department of Natural Resources Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor Dr Reza Jafari Email address Reza Jafari@cc iut ac ir Abstract Land use change is one of the most pervasive forms of ecosystem alteration and is commonly linked to other forms of environmental degradation including runoff increase erosion habitat and biodiversity loss biogeochemical cycle alteration ground water depletion invasion of invasive species the concentration increase of Co2 and desertification Studies have shown that landscapes with their natural condition are very little on the earth Land surfaces have changed significantly due to human activities and the effects of these activities can be easily seen in land use cover changes Accurate change detection of earth s surface features is extremely important for understanding relationships and interactions between human and environment In fact it provides the basic components of common strategies for natural resource management and also monitoring environmental changes Generally the acquisition of the changes in time for sustainable management of natural resources is essential The process of change detection is the application of multitemporal data for analyzing and quantifying landscape change over time Remote sensing data due to reputability broad vision and digital format suitable for computer analysis can provide suitable information for specifying land use cover changes Therefore the aim of this study is to monitor land use changes in Kale Shore basin North Khorasan province over 36 years For this purpose Landsat satellite images of four periods including1973 1987 2002 and 2009 were selected and processed First the pre processing of imagery geometric and radiometric corrections was applied Then using different image analysis methods such as NDVI vegetation index supervised classification and fuzzy classification land use maps of the study area were produced For change detection purposes the post classification technique based on fuzzy classification was used In the final stage land use status for the year 2025 was forecast using modeling techniques The results of change detection showed that in the period of the study 36 year irrigated agriculture has changed the most among extracted land uses in the region and its area has increased from 4 269 hectares to 15 586 hectares Another important change is residential area Esfarayen city which has increased from 57 hectares to 664 hectares Also the area of industrial land use which has been constructed in recent years showed an increase about 22 hectares Population increase and migration are two main reasons for these dramatic changes In contrast to above land uses rangeland and orchard classes showed a significant reduction due to the development of industrial areas and water resources An environmental positive change which has been occurred in the study area is that range woodland has increased about 10 percent in 36 years due to the rehabilitation of 12 thousand hectares of rangeland and bare lands The results of modeling in the region showed a reduction about 300 hectares in irrigated agricultural in 2025 Furthermore the model has predicted that the rangeland class will be decreased but the poor rangeland class will be increased in 16 years 2009 2025 Another result of CA Markov Model was that due to the development of Esfarayen city its area will increase from 664 hectares in 2009 to 1 114 hectares in 2025 Overall the results demonstrate that remote sensing technology can be used as an effective land management tool for monitoring and assessing land use cover in the region Keywords Land use change detection remote sensing post classification modeling Esfarayen

رمضاني، نفيسه

تهيه نقشه و پايش تغييرات كاربري اراضي حوزه كال شور خراسان شمالي با استفاده از تصاويرماهواره اي

سنجش از دور , پس از طبقه بندي , مدلسازي , اسفراين