Call for Papers: Photogrammetry in Preventing and Assessing Geohazards Due to Large Earthquakes

Today geohazards causing enormous human and economic losses is increasing globally. Earthquakes are one of the most devastating geohazards because they cause significant casualties like infrastructure damage and financial loss, negatively impacting regional or global atmospheric composition and climate. Thus determining the frequency of occurrence of earthquakes interpreting the area's tectonic activity for Geotechnical hazard assessment and characterization requires powerful techniques for making effective mitigation and planning measures. In such a scenario, the photogrammetry method employing computing algorithms is used to collect data relating to earthquakes. It entails taking overlapping photographs of buildings, environments, persons, and objects. It converts them into 3D models with the help of several computer algorithms for deriving precise measurements from photos.

Further, photogrammetry in Unmanned Aerial Vehicle (UAV) documents thoroughly the current state of the infrastructures and structures destroyed by the earthquake. It collects images from inaccessible locations for monitoring and evaluating the damage. Also, photogrammetry applying efficient algorithms has improved the degree of automation in generating 3D point clouds with high-resolution cameras. Photogrammetry uses motion software to create terrain models and orthophotos from appropriate locations pictures. Photogrammetric permit both vertical and oblique photos, aiding in obtaining 3D mapping of a problematic and underwater terrain area. Too, data collected through photogrammetry is permanent and accurate in representing the exact picture in pictorial and metric forms. It even allows revaluation of hazardous sites and areas without missing any information by comparing the data obtained with pre-recorded permanent data. In addition, photogrammetric used in UAVs, drones, and satellites generates high-resolution geospatial data needed by disaster managers and emergency response forces to do evacuation and relief processes faster in earthquake-affected areas.

This special issue outlines the significance of photogrammetry for aiding the surveying and monitoring of disaster-hit zones during geohazards such as earthquakes. However, the accuracy of the measurements depends on the flight height, and also photogrammetric surveys are also vulnerable to data loss and hacking due to viruses. Apart from that, photogrammetry provides a broad view of the mapped area by utilizing both cultural and topographic features of the land. It also helps to reduce the risk of the crew's safety involved in surveying potentially dangerous earthquake-hit areas. Authors from industry and academia are most invited to submit their unpublished works on innovative methodological approaches theoretical frameworks relating to photogrammetry. The Special Issue is open for contributions related but not limited to the following topics:

  • Extracting images using photogrammetry for earthquake risk management
  • Automatic extraction of aerial and space photos with 3D photogrammetry
  • Acquisition of earthquake images using photogrammetric UAVs
  • Recent trends in computing and photogrammetry for disaster risk monitoring
  • Unmanned Aerial Vehicles (UAVs) with photogrammetry for emergency services during geohazards
  • Role of photogrammetry in damage assessment during earthquakes
  • Adaptive application of photogrammetry for classifying damages during geohazards
  • Applying aerial UAV photogrammetry for disaster management
  • Statistical image analysis using satellite-based photogrammetry
  • Evaluating quality images during earthquakes using photogrammetry

Manuscripts can be submitted under the following link: http://www.editorialmanager.com/jgsa/default.aspx

The topical collection (special issue) will be closed on 16th September 2022.

You can find the Instructions for Authors here. Please direct any questions regarding the Special Issue to one of the guest editors:

Dr. Dinh Tran Ngoc Huy, International University of Japan, Japan
E-mail: dtnhuy@ieee.org

Dr. Esra SİPAHİ DÖNGÜL, Aksaray Üniversitesi, Aksaray, Turkey
E-mail: dresrasipahi@gmail.com

Dr. Pham Van Tuan, National Economics University (NEU), Hanoi, Vietnam
E-mail: phamvantuan@neu.edu.vn

Dr. Hoang Thanh Hanh, Academy of Policy and Development, Hanoi, Vietnam
E-mail: hoangthanhhanh@apd.edu.vn

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