تحقیقات کاربردی علوم جغرافیایی

تحقیقات کاربردی علوم جغرافیایی

ارزیابی توان عملکردی عکس های ماهواره ای کرونا، هکساگون و تصاویر استر در تهیه ی نقشه مرز و خط ساحلی دریاچه زریبار و استخراج میزان تغییرات سطح دریاچه

نویسندگان
سید هدایت شیخ قادری 1
عبدالسلام امین پور 2
پرویز ضیاییان فیروزآبادی 3
1 دانشجوی کارشناسی ارشد سنجش از دور و سیستم اطلاعات جغرافیایی دانشگاه خوارزمی، تهران، ایران
2 کارشناسی ارشد سنجش از دور و سیستم اطلاعات جغرافیایی دانشگاه خوارزمی، تهران، ایران
3 دانشیار گروه سنجش از دور و سیستم اطلاعات جغرافیایی دانشگاه خوارزمی، تهران، ایران
10.52547/jgs.24.72.401
چکیده
عکس­های ماهواره­ای کرونا و هکساگون باقدرت تفکیک مکانی 1.8 تا 9 متر منبع مناسبی برای پایش و ارزیابی تغییرات پدیده­های سطح زمین می­باشند. هدف این تحقیق پایش تغییرات دریاچه زریبار در بازه 2019-1969 با استفاده از داده­های ماهواره­ای کرونا، هکساگون و استر و توانایی عملکرد آنها در پایش و استخراج خط ساحلی، مرزدریاچه و پهنه­ی آبی می­باشد. در این تحقیق برای تصحیح هندسی داده­های کرونا و هکساگون از تصاویر گوگل ارث، از الگوریتم­های استخراج خطواره، ماسک باینری و قطعه­بندی شیفت­میانگین به ترتیب برای استخراج خط ساحلی و مرز دریاچه، آشکارسازی تغییرات دریاچه و استخراج و پایش پهنه­ی آبی دریاچه زریبار استفاده شد. یافته­های حاصله نشان داد که در مرحله­ی اول: تصحیح هندسی عکس­های کرونا و هکساگون با استفاده از تصاویر گوگل ارث با میزان RMSE 0.3 و 0.4 پیکسل به دست آمد. در مرحله‌ی دوم، الگوریتم استخراج خطواره برای استخراج مرز دریاچه و خط ساحلی با استفاده از عکس­های کرونا و هکساگون از دقت بالایی برخوردار بوده و با نقشه­ی توپوگرافی 50000/1 همبستگی بالایی دارد. در مرحله­ی سوم، روش طبقه­بندی نظارت‌نشده ماسک باینری به‌منظور آشکارسازی تغییرات دریاچه با استفاده از عکس­های کرونا و هکساگون به‌صورت قابل قبولی پیکسل­های تغییریافته و تغییرنیافته را شناسایی کرده، به‌طوری‌که 11 هکتار سطح دریاچه بیشترین تغییرات را داشته است. نهایتاً در مرحله­ی چهارم مشخص شد که الگوریتم قطعه­بندی شیفت میانگین و حد آستانه با اعمال بر روی‌داده‌های کرونا، هکساگون و استر جهت استخراج پهنه­ی آبی موفقیت‌آمیز و در این میان عکس کرونا به علت قدرت تفکیک بالاتر بهتر عمل کرده است. نتایج فوق نشان داد که دریاچه­ی زریبار از سال 1969 تا سال 2019 با کاهش 6.5% مواجه بوده و یافته­های حاصله همبستگی بالایی با محصول پهنه­ی آبی استر دارد. به‌طورکلی یافته­های این پژوهش پتانسیل استفاده از روش­های پردازش تصویر رقومی برای داده‌های کرونا و هکساگون به‌منظور پایش و آشکارسازی تغییرات دریاچه‌ها را نشان می­دهد.
کلیدواژه‌ها
کرونا
هکساگون
استر
قطعه بندی شیفت میانگین
استخراج خطواره
ماسک باینری
دریاچه زریبار

عنوان مقاله English

Evaluation of the performance of Satellite photographs Corona , Hexagon and Aster images in preparing the map of the boundary and coastline of zaribar Lake and extracting the amount of changes in the lake surface

نویسندگان English

Hedayat Sheikh Ghaderi 1
abdulsalam ‪aminpour 2
Parviz Ziaeian Firoozabadi 3
1 Masters student of gis and remote sensing, kharazmi University
2 ms student of gis and remote sensing , kharazmi University
3 Associate Professor of gis and remote sensing, kharazmi University
چکیده English

Corona and Hexagon satellite photographs with a spatial resolution of 1.8 to 9 meters are a good source for monitoring and evaluating changes in surface phenomena. The purpose of this study is to monitor the changes in Zaribar Lake in the period 1969-2019 using the data of Corona, Hexagon and Aster satellites and their ability to monitor and extract the coastline, lake boundary and water surface. In this study, to geometric correction the corona and hexagon data from Google Earth images, linear extraction algorithms, binary mask and mean shift segmentation were used to extract the coastline and lake boundary, detect lake changes and extract and monitor the water area of ​​Zaribar Lake. The results showed that in the first step: geometric correction of corona and hexagon images was obtained using Google Earth images with RMSE of 0.3 and 0.4 pixels. In the second stage, the linear extraction algorithm for extracting the lake boundary and coastline using corona and hexagon photographs has high accuracy and has a high correlation with the topographic map of 1.50000. In the third step, the unsupervised classification of binary mask method, in order to detect lake changes using corona and hexagon photographs, acceptablely identified the altered and unchanged pixels, so that 11 hectares of lake surface had the most changes. Finally, in the fourth step, it was found that the mean shift segmentation algorithm and threshold worked better by applying the corona, hexagon, and Aster events to extract the water surface, and in the meantime, the corona image performed better due to its higher resolution. The above results showed that Zaribar Lake decreased by 6.5% from 1969 to 2019 and the findings have a high correlation with the product of the ester aquifer. In general, the findings of this study show the potential of using digital image processing methods for corona and hexagon data to monitor and detect changes in lakes.

کلیدواژه‌ها English

Corona
Hexagon
ASTER
mean shift segmentation
linement extraction
binary mask
Zaribar Lake
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