Photogrammetry is a sub-discipline of Geomatics Engineering that has grown in popularity in recent years. It is critical for applications that require frequent and extensive data, such as smart cities, that remote sensing measurements be fast, precise, and data-intensive. Under the Photogrammetry Department's umbrella, modeling and analysis projects for livable and sustainable cities have been carried out for the Ministry of Environment and Urbanization. A service procurement contract for satellite geometric calibration was signed with TÜBİTAK UZAY Institute, and four graduate scholarship holders were supported under the supervision of two Photogrammetry Department faculty members. Under the supervision of a faculty member from the Photogrammetry Department, Telespazio and Hacettepe Teknokent-TTM developed software for controlling the spatial accuracy of earth observation satellites for the European Meteorological Satellites Union (EUMETSAT). The Japanese Space Agency (JAXA), on the other hand, has officially approved two faculty members from Hacettepe Geomatics Engineering Photogrammetry Department to be the main researchers in the project of determining the geometric accuracy of the ALOS-3 satellite.
These developments and the participation of research assistants in addition to the increasing number of scholars who participate in satellite, space technology, and smart city projects in our Department will not only meet the human resource needs of our country by training more researchers in these fields, but also ensure that the projects are conducted more effectively and efficiently.
• Prof. Dr. Ali Özgün OK
• Doç. Dr. Sultan KOCAMAN GÖKÇEOĞLU
• Arş. Gör. Beste TAVUS
• Sinem ÇETİNKAYA (YÖK 100/2000 doktora bursiyeri)
• Kübra ATASOY (DR. öğrencisi, proje bursiyeri)
• Ömer KANTARCIOĞLU (DR. öğrencisi)
• Semanur SEYFELİ (DR. öğrencisi)
• Fitnat KÖSEOĞLU (Y.L. öğrencisi)
• Moorea Island Digital Ecosystem Avatars (IDEA) Project (International)
• 2-3 Dimensional Mapping System with Autonomous Systems Supported Photogrammetric Methods (TÜBİTAK TEYDEB)
• TÜBİTAK UZAY geometric calibration and validation project of national satellites
• A Study on the Determination of Individual Automatic Detection Potential of Peanut Pine (Pinus Pinea L.) Trees from Digital Surface Models Obtained from Aerial Images
• National Ground Station Development Project (MIYEG) Data Evaluation Software Geometric Calibration Work (TÜBİTAK UZAY)
• Development of Turkey National Liveability Index (Ministry of Environment and Urbanization)
• Citizen Science COST Action CA15212 (EU Cost Action, international)
• 3D (3-D) Analysis of Rockfalls in Cappadocia (Nevşehir) Region with the Help of Terrain Laser Scanning (TLS) and Creation of Rockfall Hazard Maps (AFAD)
• Kocaman, S. and Ozdemir, N., 2020. Improvement of Disability Rights via Geographic Information Science. Sustainability, 12(14), p.5807.
• Kocaman, S., 2020. Book Review: GIS for Science: Applying Mapping and Spatial Analytics, DJ Wright and C. Harder (Eds.). Published by ESRI Press, Redlands, California, 2019. 252 Pages. ISBN: 9781589485303. Applied Spatial Analysis and Policy, 1-3. 4.
• Ok, A. O., Ozdarıcı-Ok, A., 2020, Precise Extraction of Citrus Fruit Trees from a Digital Surface Model Using a Unified Strategy: Detection, Delineation, and Clustering, Photogrammetric Engineering and Remote Sensing, vol. 86, no. 9, p. 557-569.
• Kocaman, S. & Gokceoglu, C., 2019. A CitSci app for landslide data collection Landslides (2019) 16: 611. https://doi.org/10.1007/s10346-018-1101-2
• Kocaman, S., Gruen, A., Guo, T., Troyer, M., 2017. Island Digital Ecosystem Avatar (IDEA) Project. AKU J. Sci. Eng.17 (2017) Special Issue (182-189).
• Kocaman, S., Anbaroglu, B., Ugurlu, A., Demir, N., 2017. The Place of Geographical Information Technologies in Civil Science. AKU J. Sci. Eng.17 (2017) Special Issue (112-117).
• Kocaman S., Gokceoglu, C., 2019. CitSci as a new approach for landslide researches. In Intelligent Systems for Crisis Management Altan, O., Chandra, M., Sunar, F., Tanzi, T.J. (Eds.) Lecture Notes in Geoinformation and Cartography, Springer, Cham, pp. 161-183. ISBN 978-3-030-05330-7
• Ural, S., Gruen, A., Kocaman, S., 2019. Point Clouds Over Tetiaroa – 3d Modeling of a Tropical Island by Topo-Bathymetric Lidar. Asian Conference on Remote Sensing 2019, 13-19 October 2019, Korea.
• Ok, A. O. and Ozdarici-Ok, A., 2019, Determination of Detection Capability of Citrus Fruit Trees With Remote Sensing Technology and Knowledge, HASAT International Agriculture and Forestry Congress, 21 - 23 June, Ankara.
• Kocaman, S., Gokceoglu, C., 2018. On the Use of Citsci and VGI in Natural Hazard Assessment. int. arch. my photogram. Remote Sens. Spatial Inf. Sci., 42(5), 69-73. https://doi.org/10.5194/isprs-archives-XLII-5-69-2018
• Kocaman, S., Gokceoglu, C., 2018. Lessons Learned from the Recent Landslide Mitigation Efforts: Citizen Science as a New Approach. Workshop on lessons learned from volunteers' interactions with geographic citizen science applications, April 27, 2018, London, U.K.
• Kocaman, S., Anbaroglu, B., Gokceoglu, C., Altan, O., 2018. A Review on Citizen Science (Citsci) Applications for Disaster Management. int. arch. my photogram. Remote Sens. Spatial Inf. Sci., XLII-3/W4, 301-306, https://doi.org/10.5194/isprs-archives-XLII-3-W4-301-2018, 2018
• Kocaman, S., Gokceoglu, C., 2018. Possible Contributions of Citizen Science For Landslide Hazard Assessment. int. arch. my photogram. Remote Sens. Spatial Inf. Sci., XLII-3/W4, 295-300, https://doi.org/10.5194/isprs-archives-XLII-3-W4-295-2018.
• Kocaman, S., Ural, S., Karakas, G., Bakici, S., 2017. 3D Processing of Gokturk-2 Imagery. 38th Asian Conference On Remote Sensing, October 23-27, New Delhi, India.
• Gruen, A., Kocaman, S., Guo, T., Ural, S., Troyer, M., 2017. DSM/DTM – Related Investigations Of The Moorea Avatar Project. 38th Asian Conference On Remote Sensing, October 23-27, New Delhi, India.