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شناسایی سریع مناطق آسیب‌دیده پس از وقوع زلزله با استفاده از تصاویر ماهواره‌ای Sentinel-2 (مطالعۀ موردی: زلزلۀ سرپل ذهاب) | ||
| مدیریت مخاطرات محیطی | ||
| مقاله 3، دوره 6، شماره 2، تیر 1398، صفحه 131-148 اصل مقاله (1.26 M) | ||
| نوع مقاله: پژوهشی کاربردی | ||
| شناسه دیجیتال (DOI): 10.22059/jhsci.2019.284544.487 | ||
| نویسندگان | ||
| میلاد جانعلی پور* 1؛ نادیا عباس زاده طهرانی1؛ حکمت اله محمد خانلو2؛ الهه خصالی3؛ حمید عنایتی4 | ||
| 1استادیار، پژوهشگاه هوافضا، وزارت علوم، تحقیقات و فناوری | ||
| 2کارشناس ارشد ژئودزی، دانشگاه آزاد شاهرود، سمنان، شاهرود | ||
| 3دانشجوی دکتری سنجش از دور، دانشگاه صنعتی خواجه نصیرالدین طوسی | ||
| 4کارشناس ارشد فتوگرامتری، دانشگاه صنعتی خواجه نصیرالدین طوسی | ||
| چکیده | ||
| شناسایی سریع مناطق آسیب‌دیده پس از وقوع زلزله به‌منظور تولید نقشۀ آسیب، اهمیت زیادی در زمینۀ امداد و نجات دارد. در چند سال گذشته استفاده از تصاویر ماهواره‌ای برای تولید نقشۀ تخریب به‌دلیل سرعت زیاد، پوشش وسیع از منطقه و هزینۀ اندک بسیار مورد توجه محققان قرار گرفته است. در این پژوهش، یک روش شناسایی سریع مناطق آسیب‌دیده مبتنی بر روش‌های شناسایی تغییرات ارائه خواهد شد که دربارۀ زلزلۀ سال 1396 سرپل ذهاب اجرا می‌شود. به‌منظور اعتبارسنجی این روش، ابتدا نتایج روش شناسایی تغییرات ارزیابی شد که خروجی‌ها نشان‌دهندۀ صحت زیاد روش در شناسایی مناطق تغییریافته‌اند. از طرف دیگر، نتایج روش شناسایی آسیب که در زلزلۀ سرپل ذهاب اجرا شده با نقشه‌های آسیب تولیدشده توسط سازمان فضایی اروپا اعتبارسنجی شد که نتایج حاکی از صحت 84 درصدی در شناسایی مناطق آسیب‌دیده است. با به‌کارگیری روش پیشنهادی، نقشۀ آسیب برای شهر سرپل ذهاب بسیار سریع و در مدت کمتر از سی دقیقه تولید شد. | ||
| کلیدواژه‌ها | ||
| زلزله؛ سرپل ذهاب؛ سنجش از دور؛ شناسایی سریع آسیب؛ Sentinel-2 | ||
| عنوان مقاله [English] | ||
| Rapid Damage Mapping after an Earthquake using Sentinel-2 Images (Case Study: Sarpol-e Zahab) | ||
| نویسندگان [English] | ||
| Milad Janalipour1؛ Nadia Abbaszadeh Tehrani1؛ Hekmatollah Mohammad Khanlu2؛ Elahe Khesali3؛ hamid enayati4 | ||
| 1Assiatant Professor, Aerospace Research Institute, Ministry of Science, Research and Technology, Tehran, Iran | ||
| 2Islamic Azad University, Shahrood, Sharood, Semnan, Iran | ||
| 3PhD Student, Islamic Azad University, Shahrood, Sharood, Semnan, Iran | ||
| 4Msc, Photogrammetry,K.N. Toosi University of Technology, Tehran, Iran | ||
| چکیده [English] | ||
| Rapid damage mapping after an earthquake in order to produce damage map is important for relief and rescue operations. Recently, the use of remote sensing images for producing damage maps is considered due to their synoptic view and low cost. In this research, a rapid damage mapping approach according to change detection is proposed, which is applied to the 2018 Sarepol-e Zahab earthquake. In order to assess results, outcomes of the change detection were evaluated using ground truth, which show high accuracy in detecting change areas. On the other hand, our damage map was evaluated using damage map produced by the European Space Agency (ESA), which outcomes depict our proposed method can detect damage areas by an overall accuracy of 84 %. Using the proposed method, damage map of the Sarepol-e Zahab was generated less than 30 minutes. Introduction Remote sensing is a useful science and technology for different applications, especially disaster management. Remote sensing can be used to produce building damage maps after the earthquake. Recently, researchers used remote sensing data for producing building damage maps [1-4]. However, the used approaches are based on training samples. Preparing training samples is a time consuming task. For this reason, scientists would like to develop rapid damage mapping. Tiede et al. proposed a method to map damage areas of the Haiti earthquake using a shadow analysis approach. The proposed approach can produce damage areas after 12 hours [5]. The main goal of this paper is to develop a rapid damage mapping approach based on pre- and post-event images in Sarpol-e Zahab. The developed method benefits from decision making approaches to make a rapid map. Methodology The proposed method is done in four steps according to Figure 1. In the first step, some essential pre-processing tasks including georeferencing and radiometric correction are performed. In the second step, difference image is produced and some textural features are extracted from it. In the third step, change and unchanged areas are identified using three change detection approaches. Finally, TOPSIS decision making approach is employed to make a damage map. Fig. 1. Workflow of the proposed method Results Since the proposed method is based on change detection, we applied it to two data sets. Results of change detection over two case studies present in Figure 2. According to validation results, the proposed approach can detect changed and unchanged areas with about 95 % accuracy. Nearest neaghbour of Region 1 Nearest neaghbour of Region 2 Spectral angle mapper of Region 1 Spectral angle mapper of Region 2 Maximum likelihoo of Region 1 Maximum likelihoo of Region 2 Fig. 2. Results of change detection approaches over two study areas Using pre- and post-event Sentinel-2 images and our proposed approach, damage map of Sarpol-e Zahab was produced. Figure 3 shows pre- and post-event Sentinel-2 images and damage map of the study area. Fig. 3. Pre- and post-event Sentinel-2 images and damage map of the study area The accuracy of our damage detection approach is assessed using damage map produced by European space agency (ESA). Table 1 depicts the confusion matrix regarding the accuracy of our proposed method. Based on this table, the overall accuracy of our proposed approach is about 70 %. Table 1. the confusion matrix of our proposed approach Overall acc. (%) User acc. (%) Producer acc. (%) Damaged Undamged 68.26 43.85 68.84 18468 14442 Undamaged 85.77 680.6 39355 6527 Damaged Conclusion In this paper, a rapid damage mapping approach is proposed to detect damage areas from Sarpol-e Zahab earthquake. The proposed method is based on change detection and unsupervised. From the perspective of change detection, our proposed approach is robust. To assess the capability of the proposed method, it was applied in Sarpol-e Zahab earthquake. Using pre- and post-event Sentinel-2 images, the proposed approach can detect damaged areas with an accuracy of 80 %. | ||
| کلیدواژه‌ها [English] | ||
| Rapid damage mapping, Sentinel-2, earthquake, remote sensing, Sarpol-e Zahab | ||
| مراجع | ||
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