پایش تغییرات سی ساله پوشش اراضی با استفاده از سنجش از دور و سامانه اطلاعات جغرافیایی GIS (مطالعه موردی: حوضه آبخیز قره سو، اردبیل)

Fereshteh Namdar, Shahla Mahmoudi, Abazar Esmali Ouri, Ebrahim Pazira
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Abstract

Background and Objective: Studying the extent of change and destruction in resources in previous can contribute to efficient planning and utilization of these resources and limiting similar adverse changes in the future. Since changes in resources occur over large expanses of land, remote sensing technology can serve as a essential and valuable tool for monitoring these changes. The purpose of this study was to monitor the land cover changes in Qaresu watershed in Ardabil province using the remote sensing technique. Methods: In this study land cover changes was consulted in 30 years from 1985 to 2015. Landsat images of the study area pertaining to July 1985, 2000 and 2015 were acquired. After geometric and elevation corrections, the images were classified by the supervised approach using the maximum likelihood method. The NDVI index, DEM, and slope layers were used to enhance the image classification accuracy. Classification accuracy was assessed with Kappa index and overall accuracy indexes. Findings: The results showed 20.43% change in the watershed’s land uses over the period from 1985 to 2000, 41.426% over the period from 2000 to 2015, and 27.99% over the period from 1985 to 2015. In all three periods, the greatest changes were in dry farming. Discussion and Conclusion: Results showed despite high capability of Landsat images in mapping land use, using additional layers like NDVI, elevation and slope percent can improve separation accuracy of land using.
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背景与目的:研究以往资源的变化和破坏程度,有助于有效规划和利用这些资源,并限制未来类似的不利变化。由于资源变化发生在大片土地上,遥感技术可以作为监测这些变化的重要和有价值的工具。利用遥感技术对阿达比尔省卡雷苏流域土地覆盖变化进行监测。方法:参考1985 - 2015年30年间土地覆盖变化。获取研究区1985年7月、2000年7月和2015年7月的Landsat图像。经过几何和高程校正后,利用极大似然方法对图像进行监督分类。利用NDVI指数、DEM和坡度层来提高图像分类精度。采用Kappa指数和总体准确率指数评价分类准确率。结果表明:1985 - 2000年流域土地利用变化幅度为20.43%,2000 - 2015年为41.426%,1985 - 2015年为27.99%。在这三个时期,变化最大的是旱作农业。讨论与结论:结果表明,尽管Landsat图像在土地利用制图方面具有很高的能力,但使用NDVI、高程和坡度百分比等附加层可以提高土地利用分离的精度。
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