Gebze Teknik Üniversitesi

Prof. Dr. Taşkın KAVZOĞLU
Harita Mühendisliği

Telefon: (262) 6052056
E-Posta: kavzoglu@gtu.edu.tr
Ofis: , 228
ORCID
Ofis saatleri: Monday - Friday 08:00 - 17:00
Çalışma alanları: Uzaktan Algılama, Makine Öğrenmesi, Derin Öğrenme, İklim Değişikliği, Veri Madenciliği, Çevresel Değişimlerin Analizi, Orman Yangınlarının İzlenmesi, Heyelan Risk Haritalama
Detaylı özgeçmiş: TaskinKavzogluCV_TR.pdf

ORCID

Web of Science

YÖK Akademik

Google Scholar

Researchgate

BOOKS AND BOOK CHAPTERS

Kavzoğlu, T., Teke, A.,Yılmaz, E.Ö. 2025. “Forest Burning Severity Analysis Using
Pixel and Object-Based Ensemble Algorithms Based on USGS Firemon and Mediterranean dNBRs”, In: M.E. Aydın and S. Ercişli (Eds.)Flora - Fauna Biodiversity in Aquatic and Terrestrial Ecosystems in the Aegean Region, Turkish Academy of Sciences[Link]

Kavzoglu, T., Tso, B.,Mather, P.M. 2024. “Classification of Remotely Sensed Data”. Third Edition, Boca Raton: CRC Press[Link]
Kavzoğlu, T., Teke, A.,Yılmaz, E.Ö. 2024. “Mathematics and Basic Sciences in Geomatics Engineering: Contributions Towards Sustainable Development Goals”. In: M. Şeker, Z. Aysan Şahintaş and G. Avşar (Eds.) Foundations of Science for Sustainable Future: Principles and Innovations, Turkish Academy of Sciences. pp. 69 – 92[Link]
Teke, A.,Kavzoglu, T. 2024. “Towards Artificially Intelligent Landslide Susceptibility Mapping: A Critical Review and Open Questions”. In: Panda, G.K., Shaw, R., Pal, S.C., Chatterjee, U., Saha, A. (Eds.) Landslide: Susceptibility, Risk Assessment and Sustainability. Advances in Natural and
Technological Hazards Research, vol 52. Springer, Cham. pp. 153 –182[Link]
Kavzoglu, T., Yilmaz, E.O., Collkesen, I., Sefercik, U.G.,Gazioglu, C., 2023. “Detection and Monitoring of Mucilage Formations Using Pixel-Based Convolutional Neural Networks: The Case Study of Izmit Gulf, Turkey”, M. Albay (Ed.), Mucilage Problem in the Sea of Marmara, Section 11, Istanbul University Press, pp. 233 – 252[Link]
Kavzoğlu, T., 2021 “Forest Fires: Causes, Effects, Monitoring, Precautions and Rehabilitation Activities”, Editor, Turkish Academy of Sciences[Link]
Kavzoğlu, T., Çölkesen, İ., Sefercik, U.G., 2021. “Detection and Monitoring of the Mucilage Occurrence in the Marmara Sea with Remote Sensing Technologies”, In: İ. Öztürk and M. Şeker
(Ed.), Ecology of Marmara Sea: Effects of Sea Saliva Formation and Solution
Suggestions. Turkish Academy of Sciences. pp.199 – 224;[Link]
Sefercik, U.G.,Kavzoğlu, T. 2021. “Early Warning, Detection, Monitoring and Response Strategies for Forest Fires Using Remote Sensing Technologies”, In: T. Kavzoğlu (Ed.), Forest Fires: Causes, Effects, Monitoring, Precautions and Rehabilitation Activities. Turkish
Academy of Sciences. pp.111 – 135[Link]
Kavzoğlu, T., Çölkesen, İ., Tonbul, H.,Öztürk, M.Y. 2021. “Temporal Analysis of Forest Fires with Remote Sensing Technologies: Mediterranean and Aegean Fires in 2021”, In: T. Kavzoğlu (Ed.), Forest Fires: Causes, Effects, Monitoring, Precautions and Rehabilitation Activities. Turkish Academy of Sciences. pp. 219 – 251[Link]
Yildirim, E.,Kavzoglu, T. 2021.“Ship Detection from Optical Remote Sensing Images Using YOLOv4 and Tiny YOLOv4”, In: Ben Ahmed M., Rakıp Karaș İ., Santos D., Sergeyeva O., Boudhir A.A. (eds), Innovations in Smart Cities Applications, Lecture Notes in Networks
and Systems Series, vol 393, Springer, pp. 913 – 924[Link]
Kavzoglu, T. 2020. “Artificial Neural Networks and Evolutionary Computation in Remote Sensing”, Editor, MDPI[Link]
Sildir, H., Aydin, E.,Kavzoglu, T. 2020. “Design of Feedforward Neural Networks in the Classification of Hyperspectral Imagery Using Superstructural Optimization”, In: T. Kavzoglu
(Ed.), Artificial Neural Networks and Evolutionary Computation in Remote Sensing, pp. 87 – 106, MDPI[Link]
Colkesen, I., Kavzoglu, T. 2019. “Comparative Evaluation of Decision‐Forest Algorithms in Object‐Based Land Use and Land Cover Mapping”, In: H.R. Pourghasemi and C. Gokceoglu (Eds.), Spatial Modeling in GIS and R for Earth and Environmental Science, Chapter 23, pp. 499
– 517. Elsevier, Academic Press[Link]
Kavzoglu, T., Colkesen, I.,Kutlug Sahin, E. 2018. “Machine Learning Techniques in Landslide Susceptibility Mapping: A Survey and A Case Study”, In: T.N. Singh, V. Vishal and S.P. Pradhan
(Eds), Landslides: Theory, Practice and Modelling, NTHR series, Springer.
Chapter 13, pp. 283 – 301[Link]
Kavzoglu, T. 2017. “Object-Oriented Random Forest for High Resolution Land Cover Mapping Using Quickbird-2 Imagery “, In: P. Samui, S.S. Roy and V.E. Balas (Eds.), Handbook of Neural
Computation, Chapter 33, pp. 607 – 619. Elsevier, Academic Press[Link]
Kavzoglu, T., Jaafar, J.,Mather, P.M. 2001. “Extraction of Field Boundary Information: Using Satellite Images Classified by Artificial Neural Networks”. In: P.J. Halls (Ed.), Innovations in
GIS 8: Spatial Information and the Environment, Taylor &amp; Francis, London, Chapter 4, 77 – 87[Link]

JOURNAL ARTICLES (INTERNATIONAL)

Yilmaz,E.O., Kavzoglu, T., 2025. “DeepSwinLite: A Swin Transformer-Based Light
Deep Learning Model for Building Extraction Using VHR Aerial Imagery”, Remote
Sensing, 17(18), 3146. https://doi.org/10.3390/rs17183146 [Link ].
Ozupek, E., Teke, A., Celik, N., Kavzoglu, T., 2025. “Explainable Artificial
Intelligence to Explore the Intrinsic Characteristics of Climatic Parameters
Governing Meteorological Drought Forecasting: Opening the Black-Box”, Stochastic
Environmental Research and Risk Assessment, 39, 3201–3222. https://doi.org/10.1007/s00477-025-03007-y[Link ]
Kavzoglu, T., Uzun, Y.K., Berkan, E., Yilmaz, E.O., 2025. “Global-scale Explainable
AI Assessment for OBIA-based Classification Using Deep Learning and Machine
Learning Methods”, Advances in Geodesy and Geoinformation, 74(1), Article
no: e62. https://doi.org/10.24425/agg.2024.150692[Link ]
Yilmaz. E.O., Uzun, Y.K., Berkan, E.,Kavzoglu, T., 2025. “Integration of LIME
with Segmentation Techniques for SVM Classification in Sentinel-2 Imagery”, Advances
in Geodesy and Geoinformation, 74(1), Article no:e61. https://doi.org/10.24425/agg.2025.150691[Link ]
Sefercik, U.G., Aydin, I., Nazar, M. Atalay, C.,Kavzoglu, T., 2025. “A Novel NDSM Fusion Approach to Improve UAV-Based LCC Accuracy in Sloping Urban Areas”, European
Journal of Remote Sensing, 58(1), Article: 2475171.
https://doi.org/10.1080/22797254.2025.2475171[Link ]
Yildirim,E. Kavzoglu, T., 2025. “Deep Convolutional Neural Networks for Ship
Detection Using Refined DOTA and TGRS-HRRSD High-Resolution Image Datasets”. Advances
in Space Research, 75(2),1871-1887.https://doi.org/10.1016/j.asr.2024.10.028[Link ]
Teke, A.; Kavzoglu, T., 2024. “Exploring The Decision-Making Process of Ensemble Learning Algorithms in Landslide Susceptibility Mapping: Insights from Local and Global
Explainable AI analyses”. Advances in Space Research, 74(8), 3765-3785. https://doi.org/10.1016/j.asr.2024.06.082[Link ]
Kavzoglu, T., Colkesen, I., Atesoglu, A., Tonbul, H., Yilmaz, E.O., Ozlusoylu, S. and Ozturk, M.Y.,
2024. “Construction And Implementation of a Poplar Spectral Library Based on
Phenological Stages for Land Cover Classification Using High-Resolution
Satellite Images”. International Journal of Remote Sensing, 45(6),
2049-2072.https://doi.org/10.1080/01431161.2024.2326800[Link ]
Ozdemir S, Akbulut Z,Karsli F, Kavzoglu T.2024. “Extraction of Water Bodies from High-Resolution Aerial and Satellite Images Using Visual Foundation Models”. Sustainability,
16(7), 2995. https://doi.org/10.3390/su16072995[Link ]
Yildirim, E. Sefercik, U.G. and Kavzoğlu, T. 2024. “Automated Identification of Vehicles In Very
High-Resolution UAV Orthomosaics Using YOLOv7 Deep Learning Model," Turkish
Journal of Electrical Engineering and Computer Sciences, 32(1), 9.
https://doi.org/10.55730/1300-0632.4060[Link ]
Yilmaz, E.O., Tonbul, H.; Kavzoglu, T., 2023. “Marine Mucilage Mapping with Explained Deep Learning Model Using Water-related Spectral Indices: A Case Study of Dardanelles Strait,
Turkey”, Stochastic Environmental Research and Risk Assessment, 38,
51-68. https://doi.org/10.1007/s00477-023-02560-8[Link ]
Sefercik, U.G., Colkesen, I., Kavzoglu, T., Ozdogan, N.,Ozturk, M.Y., 2023. “Assessing the Physical and Chemical Characteristics of Marine Mucilage Utilizing In-Situ and Remote Sensing Data (Sentinel-1, -2, -3)”, PFG – Journal of Photogrammetry, Remote
Sensing and Geoinformation Science. https://doi.org/10.1007/s41064-023-00254-y[Link ]
Sildir, H., Sarrafi, S.; Kavzoglu, T. 2023. “A Simultaneous Training and Input Selection Algorithm for Classification Problems Using Piecewise Approximations”, IFAC Papers Online, 55
(23), pp. 7 – 12. https://doi.org/10.1016/j.ifacol.2023.01.005[Link ]
Colkesen, I., Kavzoglu,T., Atesoglu, A., Tonbul, H.,Ozturk, M.Y. 2023. “Multi-Seasonal Evaluation of Hybrid Poplar (P. Deltoides) Plantations Using Worldview-3 Imagery and State-Of-The-Art Ensemble Learning Algorithms”, Advances in Space Research, 71(7), 3022 – 3044.
https://doi.org/10.1016/j.asr.2022.10.044[Link ]
Kavzoglu, T.,Bilucan, F. 2023. “Effects of Auxiliary and Ancillary Data on LULC
Classification in a Heterogeneous Environment Using Optimized Random Forest
Algorithm”, Earth Science Informatics, 16, 415 – 435. https://doi.org/10.1007/s12145-022-00874-9[Link ]
Colkesen, I., Kavzoglu,T., Sefercik, U.G.,Ozturk, M.Y.2023. “Automated Mucilage Extraction Index (AMEI): A Novel Spectral Water Index for Identifying Marine Mucilage Formations from Sentinel-2 Imagery”, InternationalJournal of Remote Sensing, 44(1), 105 – 141.
https://doi.org/10.1080/01431161.2022.21[Link ]
Sefercik, U.G., Kavzoglu,T., Colkesen, I., Nazar, M., Ozturk, M.Y., Adali, S., Dinc, S. 2023. “3D Positioning Accuracy and Land Cover Classification Performance of Multispectral
RTK UAVs”, International Journal of Engineering and Geosciences, 8(2),
119 – 128. https://doi.org/10.26833/ijeg.1074791[Link ]
Ozdemir, E., Karsli, F., Kavzoglu, T., Bahadir, M.,Yagmahan, A. 2022. “A Novel Algorithm for Regularization of Building Footprints Using Raw LiDAR Point Clouds”, Geocarto
International, 37(25), 7358 – 7380. https://doi.org/10.1080/10106049.2021.1974104[Link ]
Sefercik, U.G., Kavzoglu, T., Nazar, M., Atalay, C.,Madak, M. 2022. “Creation of a Virtual Tour .Exe Utilizing Very High-Resolution RGB UAV Data”, International Journal of Environment and Geoinformatics (IJEGEO), 9(4): 151 –160. https://doi.org/10.30897/ijegeo.1102575[Link ]
Ahmad, C.B., Abdullah, J., Idris, R., Abdul Rasam, A.R., Mustapha, A.A. and Kavzoglu, T. 2022. ”Spatial Land Use and Land Cover (LULC) Changes for A Sustainable Biodiversity
Conservation: Factors for Potential Implementation of Buffer Zone for FRIM
Natural Heritage Site, Malaysia”, IOP Conference Series: Earth and
Environmental Science, 1067, 012015. https://doi.org/10.1088/1755-1315/1067/1/012015[Link ]
Kavzoglu, T.,Yilmaz, E.O. 2022. “Analysis of Patch and Sample Size Effects for 2D-3D CNN Models Using Multi-Platform Dataset: Hyperspectral Image Classification of ROSIS and
Jilin1-GP01 Imagery” Turkish Journal of Electrical Engineering Computer Sciences. 30(6), 2124 – 2144. https://doi.org/10.55730/1300-0632.3929[Link ]
Kavzoglu, T.,Goral, M. 2022. "Google Earth Engine for Monitoring Marine Mucilage: Izmit Bay in Spring 2021".Hydology, 9(8), 135. https://doi.org/10.3390/hydrology9080135[Link ]
Kavzoglu, T.;Teke,A. 2022. "Ensemble Conditioning Factor Selection with Markov Chain Framework for Shallow Landslide Susceptibility Mapping in Lake Sapanca Basin and Its
Vicinity, Turkey", Baltic Journal of Modern Computing, 10(2), 224 –
240. https://doi.org/10.22364/bjmc.2022.10.2.09[Link ]
Kavzoglu, T.,Teke, A. 2022. “Advanced Hyperparameter Optimization for Improved Spatial Prediction of Shallow Landslides Using Extreme Gradient Boosting (XGBoost)”, Bulletin
of Engineering Geology and the Environment, 81(5), 201. https://doi.org/ 10.1007/s10064-022-02708-w[Link ]
Kavzoglu, T., Tonbul, H.,Colkesen, I., 2022. “Pixel- and Object-Based Ensemble Learning for Forest Burn Severity Using USGS FIREMON and Mediterranean Condition dNBRs in Aegean
Ecosystem (Turkey)”, Advances in Space Research, 69(10),3609 – 3632. https://doi.org/10.1016/j.asr.2022.02.051[Link ]
Yagci, A.L., Colkesen, I.,Kavzoglu, T.,Sefercik, U.G., 2022. “Daily Monitoring of Marine MucilageUsing the MODIS Products: A Case Study of 2021 Mucilage Bloom in the Sea of
Marmara, Turkey”, Environmental Monitoring and Assessment, 194(3), 170. https://doi.org/
10.1007/s10661-022-09831-x[Link ]
Kavzoglu, T.,Teke,A. 2022. “Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost)”, Arabian Journal for
Science and Engineering, 47, 7367–7385. https://doi.org/ 10.1007/s13369-022-06560-8[Link ]
Kavzoglu, T., Tonbul, H.,Colkesen, I.,Sefercik, U.G. 2021. “The Use of Object-Based Image Analysis for Monitoring 2021 Marine Mucilage Bloom in the Sea of Marmara”, International Journal of Environment and Geoinformatics, 8(4), 529 – 536.https://doi.org/10.30897/ijegeo.990875[Link ]
Kavzoglu, T., Teke, A.; Yilmaz, E.O. 2021. “Shared Blocks-Based Ensemble Deep Learning for
Shallow Landslide Susceptibility Mapping”, Remote Sensing, 13(23), 4776.
https://doi.org/10.3390/rs13234776[Link ]
Kutlug Sahin, E.,Colkesen, I.,Kavzoglu, T. 2020. “A Comparative Assessment of Canonical Correlation Forest, Random Forest, Rotation Forest and Logistic Regression
Methods for Landslide Susceptibility Mapping”, Geocarto International,
35(4), 341 – 363. https://doi.org/10.1080/10106049.2018.1516248[Link ]
Sildir, H., Aydin, E.; Kavzoglu, T. 2020, “Design of Feedforward Neural Networks in the
Classification of Hyperspectral Imagery Using Superstructural Optimization”, Remote
Sensing, 12, 956. https://doi.org/10.3390/rs12060956[Link ]
Kavzoglu, T.,Tonbul,H. 2020. “Semi-Automatic Building Extraction from Worldview-2 Imagery Using Taguchi Optimization”, Photogrammetric Engineering and Remote Sensing,
86(9), 547 – 555. https://doi.org/10.14358/PERS.86.9.547[Link ]
Tonbul, H., Colkesen, I.; Kavzoglu, T. 2020. “Classification of Poplar Tree with Object-Based
Ensemble Learning Algorithms Using Sentinel-2A Image”, Journal of Geodetic
Science, 10, 14-22. https://doi.org/10.1515/jogs-2020-0003[Link ]
Tonbul, H.,Kavzoglu,T. 2020. “A Spectral Band Based Comparison of Unsupervised Segmentation Evaluation Methods for Image Segmentation Parameter Optimization”, International Journal of Environment and Geoinformatics, 7(2), 132 – 139. https://doi.org/10.30897/ijegeo.641216[Link ]
Colkesen, I.Kavzoglu, T. 2018. “Selection of Optimal Object Features in Object-Based Image
Analysis Using Filter-Based Algorithms”, Journal of the Indian Society of
Remote Sensing, 46(8), 1233 – 1242. https://doi.org/10.1007/s12524-018-0807-x[Link ]
Kavzoglu, T., Tonbul, H., Yildiz Erdemir, M.,Colkesen, I. 2018. “Dimensionality Reduction and Classification of Hyperspectral Images Using Object-Based Image Analysis”, Journal
of the Indian Society of Remote Sensing, 46(8), 1297 – 1306. https://doi.org/10.1007/s12524-018-0803-1&amp;amp;gt;[Lin k]
Kavzoglu, T., Tonbul, H. 2018. “An Experimental Comparison of Multi-Resolution Segmentation, SLIC and K-means Clustering for Object-Based Classification of VHR Imagery”, International Journal of Remote Sensing, 39(18), 6020 – 6036. https://doi.org/10.1080/01431161.2018.1506592[Link ]
Kavzoglu, T. ; Tonbul,H. 2018. “Segmentation Quality Assessment for Varying Spatial Resolutions of Very High-Resolution Satellite Imagery”, Geography and Natural Resources,
2(8), 109 – 114.[Link ]
Colkesen, I.Kavzoglu, T. 2017. “The Use of Logistic Model Tree (LMT) for Pixel- and
Object-Based Classifications Using High Resolution WorldView-2 Imagery”, Geocarto
International, 32(1), 71 – 86. https://doi.org/10.1080/10106049.2015.1128486[Link ]
Kutlug Sahin, E., Ipbuker,C. Kavzoglu, T. 2017. “Investigation of Automatic Feature Weighting
Methods (Fisher, Chi-square and Relief-F) for Landslide Susceptibility
Mapping”, Geocarto International, 32(9), 956 – 977. https://doi.org/10.1080/10106049.2016.1170892[Link ]
Colkesen, I.,Kavzoglu, T. 2017. “Ensemble-Based Canonical Correlation Forest (CCF) for Land
Use and Land Cover Classification Using Sentinel-2 and Landsat OLI Imagery”, Remote
Sensing Letters, 8(11), 1082 – 1091. https://doi.org/10.1080/2150704X.2017.1354262[Link ]
Kavzoglu, T., Yildiz
Erdemir, M., Tonbul, H. 2017. “Classification of Semiurban Landscapes from
Very High-Resolution Satellite Images Using a Regionalized Multiscale
Segmentation Approach”, Journal of Applied Remote Sensing, 11(3),
035016. https://doi.org/10.1117/1.JRS.11.035016[Link ]
Colkesen, I., Sahin, E.K.; Kavzoglu, T. 2016. “Susceptibility Mapping of Shallow Landslides Using Kernel-Based Gaussian Process, Support Vector Machines and Logistic Regression”,
Journal of African Earth Sciences,118,
53 – 64. https://doi.org/10.1016/j.jafrearsci.2016.02.019[Link ]
Kavzoglu, T., Sahin, E.K.; Colkesen, I. 2015. “An Assessment of Multivariate and Bivariate
Approaches in Landslide Susceptibility Mapping: A Case Study of Duzkoy
District", Natural Hazards, 76(1), 471 – 496. https://doi.org/10.1007/s11069-014-1506-8[Link ]
Kavzoglu, T., Sahin, E.K.; Colkesen, I. 2015. “Selecting Optimal Conditioning Factors in Shallow
Translational Landslide Susceptibility Mapping Using Genetic Algorithm”, Engineering
Geology, 192, 101 – 112. https://doi.org/10.1016/j.enggeo.2015.04.004[Link ]
Kavzoglu, T., Colkesen, I.and Yomralioglu, T. 2015. “Object-Based Classification with Rotation Forest Ensemble Learning Algorithm Using Very-High-Resolution WorldView-2 Image”, Remote
Sensing Letters, 6(11), 834 – 843. https://doi.org/10.1080/2150704X.2015.1084550[Link ]
Sahin, E.K., Ipbuker, C.; Kavzoglu, T. 2015. “A Comparison of Feature and Expert-Based Weighting Algorithms in Landslide Susceptibility Mapping”, Procedia Earth and
Planetary Science, 15, 462 – 467. https://doi.org/10.1016/j.proeps.2015.08.043[Link ]
Kavzoglu, T., Sahin, E.K.; Colkesen, I. 2014. “Landslide Susceptibility Mapping Using GIS-Based
Multi-Criteria Decision Analysis, Support Vector Machines, and Logistic
Regression”, Landslides, 11(3), 425 – 439. https://doi.org/10.1007/s10346-013-0391-7[Link ]
Kavzoglu, T.,Colkesen, I. 2013. “An Assessment of Effectiveness of Rotation Forest Ensemble
for Land Use and Land Cover Mapping”, International Journal of Remote
Sensing, 34(12), 4224 – 4241. https://doi.org/10.1080/01431161.2013.774099[Link ]
Kavzoglu, T.,Colkesen, I. 2011.“Assessment of Environmental Change and Land Degradation Using Time Series of Remote Sensing Images”, Fresenius Environmental Bulletin, 20(1A), 274 – 281.[Link ]
Kavzoglu, T.,Colkesen, I. 2011. “Entropic Distance Based K-star Algorithm for Remote Sensing
Image Classification”, Fresenius Environmental Bulletin, 20(5), 1200 – 1207.[Link ]
Ergun, B., Kavzoglu, T.,Colkesen, I.,Sahin, C. 2010. “Data filtering with support vector machines
in geometric camera calibration”, Optics Express, 18(3), 1927–1936. https://doi.org/10.1364/OE.18.001927.[Link ]
Kavzoglu, T.,Colkesen, I. 2009. “A Kernel Functions Analysis for Support Vector Machines for
Land Cover Classification”, International Journal of Applied Earth
Observation and Geoinformation, 11(5), 352 – 359. https://doi.org/10.1016/j.jag.2009.06.002[Link ]
Kavzoglu, T. 2009.“Increasing the Accuracy of Neural Network Classification Using Refined
Training Data”, Environmental Modelling and Software, 24(7), 850 – 858.
https://doi.org/10.1016/j.envsoft.2008.11.012[Link ]
Kavzoglu, T., Sen, Y.E.,Cetin, M. 2009. “Mapping Urban Road Infrastructure Using Remotely Sensed Images”, International Journal of Remote Sensing, 30(7), 1759 – 1769. https://doi.org/10.1080/01431160802639582[Link ]
Kavzoglu, T. 2008.“Determination of Environmental Degradation Due to Urbanization and
Industrialization in Gebze, Turkey”, Environmental Engineering Science,
25(3), 429 – 438. https://doi.org/10.1089/ees.2006.0271[Link ]
Kavzoglu, T.; Saka, M. H. (2008). Reply to the comments by RN Celik and HS Kutoglu on Kavzoglu and Saka (2005)" Modelling local GPS/levelling geoid undulations using
artificial neural networks" Journal of Geodesy, 78(9), 520 – 527. Journal
of Geodesy, 82(3), 179 – 180.[Link ]
Kavzoglu, T.&amp;amp;#160; Reis,S. 2008. “Performance Analysis of Maximum Likelihood and Artificial Neural
Network Classifiers for Training Sets with Mixed Pixels”, GIScience and
Remote Sensing, 45(3), 330 – 342. https://doi.org/10.2747/1548-1603.45.3.330[Link ]
Kavzoglu, T., Yilmaz, E.; Sesli, A.F. 2008. “A Case Study for an Airport Information System”, Geoensenanza,11, 29 – 38.[Link ]
Kavzoglu, T. ; Saka,M.H. 2005. “Modelling Local GPS/Levelling Geoid Undulations Using ArtificialNeural Networks”, Journal of Geodesy, 78(9), 520 – 527. https://doi.org/10.1007/s00190-004-0420-3&amp;amp;gt;[Link ]
Gómez, H.,Kavzoglu,T. 2005. “Assessment of Shallow Landslide Susceptibility Using Artificial
Neural Networks in Jabonosa River Basin, Venezuela”, Engineering Geology,
78(1 – 2), 11 – 27. https://doi.org/10.1016/j.enggeo.2004.10.004&amp;amp;gt;[Link ]
Saka, M.H., Kavzoglu, T.,Ozsamli, C.; Alkan, R.M. 2004. “Sub-Metre Accuracy for Stand Alone GPS Positioning in Hydrographic Surveying”, The Journal of Navigation,
57(1), 135 – 144. https://doi.org/10.1017/S0373463303002571[Link ]
Kavzoglu, T. 2004. “Simulating Landsat ETM+ Imagery Using DAIS 7915 Hyperspectral Scanner Data”, International Journal of Remote Sensing, 25(22), 5049 – 5067. https://doi.org/10.1080/01431160410001720199&amp;amp;gt;[Link ]
Kavzoglu, T.,; Mather, P.M. 2003. “The Use of Backpropagating Artificial Neural Networks in Land CoverClassification”, International Journal of Remote Sensing, 24(23), 4907 –
4938.https://doi.org/10.1080/0143116031000114851[Link ]
Kavzoglu, T.; Mather,P.M. 2002. “The Role of Feature Selection in Artificial Neural Network
Applications”, International Journal of Remote Sensing, 23(15), 2919 – 2937.
https://doi.org/10.1080/01431160110107743[Link ]
Kavzoglu, T.; Mather,P.M. 1999. “Pruning Artificial Neural Networks: An Example Using Land Cover
Classification of Multi-sensor Images”, International Journal of Remote
Sensing, 20(14), 2787 – 2803. https://doi.org/10.1080/014311699211796 [Link]

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JOURNAL ARTICLES (NATIONAL)

Ateşoğlu, A., Kavzoğlu, T., Çölkesen, İ.,Özlüsoylu, Ş., Tonbul, H., Yilmaz, E.Ö. Öztürk, M.Y. 2022. “Developmentof Spectral Library for the Fast-Growing Species in Turkey: The Poplar Species Case”, Journal of Bartin Faculty of Forestry, 24(2): 324 – 338, https://doi.org/10.24011/barofd.1099984 [Link]

Kavzoğlu, T., Çölkesen, İ., Sefercik, U.G., and Öztürk M.Y., 2021. “Detection and Analysis of Marine Mucilage Bloom in the Sea of Marmara by a Machine Learning Algorithm from Multi-Temporal Optical and Thermal Satellite Images”, Journal of Mapping (Harita Dergisi), 166, 1 – 9.[Link]
Yılmaz, E.Ö, and Kavzoğlu, T., 2021. “Basic Principles of Deep Learning and Its Applications in Remote Sensing”, Journal of Mapping (Harita Dergisi), 166, 25 – 43.[Link]
Önder, Y.E., and Kavzoğlu, T., 2019. “Traffic Accident Intensity Analysis with Open–Source GIS Software: An Example of Istanbul”, Turkish Geographic Information Systems Journal, 2(1), 1 – 9.&amp;amp;gt;[Link]
Tonbul, H., and Kavzoğlu, T., 2018. “Image Segmentation Approaches in Object-Based Image Analysis and Analysis of Segmentation Quality ”,Journal of Mapping (Harita Dergisi), Issue 160, 12 – 23.[Link]
Çölkesen, İ., and Kavzoğlu, T., 2017. “Classification ofRemotely Sensed Images Using Canonical Correlation Forest Algorithm”, AfyonKocatepe University Science and Engineering Journal, 17(Special Issue), 102–111.[Link]
Tonbul, H., and Kavzoğlu, T., 2017. “Investigation of the Effect of Segmentation Quality on Classification Accuracy”, Afyon Kocatepe University Journal of Science and Engineering Sciences, 17(Special Issue), 118 – 125. [Link]
Kavzoğlu, T. 2016. “Observation of the Earth from Space: Transformation from Image to Information”, TÜBA-GÜNCE Journal, October 2016, 70 – 73.[Link]
Çölkesen, İ., Yomralıoğlu, T., and Kavzoğlu, T., 2015.“Estimation of Optimal Scale Parameter in Region-based Segmentation Using WorldView-2 Imagery”, Journal of Mapping (Harita Dergisi), 81(154), 9 – 18.[Link]
Kavzoğlu, T., Şahin, E.K., and Çölkesen, İ., 2012. “Assessment of Landslide Susceptibility Using Regression Trees: The Case of Trabzon Province", Journal of Mapping (Harita Dergisi), 147(3), 21 – 33, 2012. [Link]
Kavzoğlu, T., and Çölkesen, İ., 2010. “Classification of Satellite Imagery Using Decision Tree Algorithms”, Electronic Journal of Map Technologies, 2(1), 36 – 45[Link]
Kavzoğlu, T., and Çölkesen, İ., 2010. “Analysis of the Effect of Kernel Functions Used in Support Vector Machines”, Journal of Mapping (Harita Dergisi), 76(144), 73 – 82[Link]

INTERNATIONAL CONFERENCE PAPERS

Kavzoglu, T.; Yilmaz, E. O. 2025. “A Novel Swin Transformer Based Deep Learning Model for Building Extraction from Very High-Resolution Images”, The 46^th Asian Conference on Remote Sensing 2025 (ACRS’2025), 27-31 October, Makassar, Indonesia. [Link]
Kavzoglu, T., Yilmaz, E. O.; Teke, A. 2025. “Deep Learning Based Semantic Segmentation and Explainability Analysis for Building Footprint Extraction Using High-Resolution Remote Sensing Imagery”,The 46th Asian Conference on Remote Sensing 2025 (ACRS’2025), 27-31 October,
Makassar, Indonesia.[Link]
Yilmaz, E. O.; Kavzoglu, T. 2025. “A Performance Analysis of U-Net and U-Net++ in Building Footprint Extraction Using XAI”, 33. IEEE Conference on Signal Processing and Communications Applications (SİU’2025), 25-28 June, Istanbul, Turkey.[Link]
Kavzoglu, T.; Teke, A. 2025. “Forest Burn Severity Analysis with Pixel- and Object-Based Ensemble Learning Algorithms Applying USGS FIREMON Program”, 2025 AAG Annual Meeting, 24-28 March,Detroit, USA.
Yilmaz, E. O. ; Kavzoglu, T. 2025. “An In-depth Investigation of OBIA Classification with High-Resolution Imagery&amp;amp;#160;Unravelling the Explanations Behind Deep Learning and Machine Learning”, ISPRS,EARSeL; DGPF Joint Istanbul Workshop: Topographic Mapping from Space Dedicated
to Dr. Karsten Jacobsen’s 80th Birthday, 29-31 January, Istanbul, Turkey.[Link]
Kavzoglu, T.; Teke, A. 2025. “Explainable Artificial Intelligence to Unveil Intrinsic Characteristics of Conditioning Factors Governing Forest Fire Susceptibility”, ISPRS, EARSeL ; DGPF Joint Istanbul Workshop: Topographic Mapping from Space Dedicated to Dr. Karsten Jacobsen’s 80th Birthday, 29-31 January, Istanbul, Turkey.[Link]
Kavzoglu,T.; Teke, A. 2024. “Exploring Spatial and Non-Spatial Impacts of Landslide
Conditioning Factors Using Geographically Informed Explainable AI”, AGU Fall
Meeting, 9-13 December, Washington D.C.
Yilmaz, E. O.; Kavzoglu, T. 2024.“Performance Analysis of CNN and Separable CNN for Land Use and Land Cover Classification in VHR Images Using Object-Oriented Approach with eXplainable Artificial Intelligence”, Asian Conference on Remote Sensing (ACRS’2024), 17-21
November, Sri Lanka.[Link]
Kavzoglu, T.&amp;amp;#160; Yilmaz, E. O. 2024. “Integrating Deep Learning with eXplainable AI for Pixel-Based Analysis of Wildfire Severity with USGS FIREMON dNBRs in Turkey”, Asian Conference on Remote Sensing (ACRS’2024), 17-21 November, Sri Lanka.[Link]
Yilmaz, E. O. ; Kavzoglu, T. 2024. “Burned Area Detection with Sentinel-2A Data: Using Deep Learning Techniques with eXplainable Artificial Intelligence”, ISPRS Technical Commission V Symposium 2024 (Insight to Foresight via Geospatial technologies), 06-08 August, Manila, Philippines, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-5-2024, 251–257,
https://doi.org/10.5194/isprs-annals-X-5-2024-251-2024.[Link]
Yilmaz, E. O., Kavzoglu, T., Colkesen, I., Tonbul, H. ; Teke, A. 2024. “Methodology for Extracting Poplar Planted Fields from Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy”, ISPRS Technical Commission V Symposium 2024
(Insight to Foresight via Geospatial technologies), 06-08 August, Manila,
Philippines, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-5-2024,
259–265, https://doi.org/10.5194/isprs-annals-X-5-2024-259-2024[Link]
Colkesen, I., Sefercik, U.G., Kavzoglu,T., Saygi, M., Ozturk, M.Y., Altuntas, O.Y., Nazar, M., Aydin, I. ; Tonul,H. 2024. “Exploring the Potential of U-Net Architectures for Classifying
Different Maize Genotypes Using Multispectral UAV Imagery”, Proceedings of the
9th Advanced Engineering Days, 09-10 July, Tabriz-Iran.[Link]
Kavzoglu, T. 2024. “Explainable ArtificialIntelligence to Explore Intrinsic Characteristics of Factors Controlling Natural Hazards: Opening the Black-Box”, The 5th IEEE GRSS Turkey Chapter Summer School (UYGU’2024), "Remote Sensing for Disaster Management",
June 10-12, Istanbul.[Invited Lecture]
Yilmaz, E.O., Uzun, Y. K., Berkan, E.;Kavzoglu, T. 2024. “Enhanced Comparative Analysis: LIME Integration with Multiresolution Segmentation (MRS) and Simple Linear Iterative Clustering
(SLIC) Algorithms for Support Vector Machine (SVM) Classification in Sentinel-2
Imagery”, International Symposium on Applied Geoinformatics (ISAG’2024), 9-10
May, Wroclaw, Poland.[Link]
Kavzoglu, T., Berkan, E., Uzun, Y. K.,; Yilmaz, E.O. 2024. “Global-Scale Explainable AI Assessment of Classification Algorithm Effectiveness in Object-Based Image Analysis using
Random Forest and Support Vector Machine”, International Symposium on Applied
Geoinformatics (ISAG’2024), 9-10 May, Wroclaw, Poland[Link]
Colkesen, I., Sefercik, U.G., Ozdogan, N., Kavzoglu, T., Ozturk, M.Y., Altuntas, O.Y., Nazar, M., Aydin, I., Tonbul, H.
2024. "An Assessment of The Potential Use of Sentinel-2 Imagery and Water
Indices in Monitoring Water Quality: A Case Study of Sakarya River", International
Symposium on Applied Geoinformatics (ISAG’2024), 9-10 May, Wroclaw, Poland.[Link]
Yilmaz, E. O., Kavzoglu, T. 2024. “XAI-Enhanced Burned Area Detection in Çanakkale-Kızılkeçili Wildfire Using Sentinel-2A Data:
Utilization of a Deep Learning Model”, 2024 AAG Annual Meeting, April 16-20,
Honolulu, Hawaii.
Teke, A.; Kavzoglu, T. 2024. “Spatially Aware Landslide Susceptibility Prediction Using a Geographical Random Forest Approach”, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.,
XLVIII-4/W9-2024, 363–370.[Link]
Yilmaz, E. O.; Kavzoglu, T. 2024 . “Quality Assessment for Multi-Resolution Segmentation and Segment-Anything Model Using Worldview-3 Imagery”, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4/W9-2024, 383–390.[Link]
Yildirim, E.,; Kavzoglu, T. 2023. “Detection
of Collapsed Buildings from Post-Earthquake Imagery Using Mask and Region-Based Convolutional Neural Network”. Intercontinental Geoinformation Days (IGD’7), Peshawar, Pakistan, 119-122.&amp;amp;gt;[Link]
Altuntas, O.Y., Colkesen, I., Sefercik,U.G., Kavzoglu, T., Saygi, M., Ozturk, M.Y., Nazar, M., Aydin, I.; Tonbul,H. 2023. “Evaluating the Performance of Object-Based Machine Learning and Deep Learning Models in Classifying Different Maize Genotypes with Multispectral UAV
Imagery”. Advanced Engineering Days 8, Mersin, Turkey, 79-82[Link]
Kavzoglu, T.; Ongun, U., 2023. “Extraction
of Poplar Planted Fields Using Sentinel-2 Imagery and Ancillary Index Data in Google Earth Engine Platform to Create Up-to-Date Inventory Maps”, AGU’2023 Fall Meeting, 11-15 December, San Francisco, CA.
Yılmaz, E.Ö.; Kavzoglu, T., 2023. “An Evaluation of The Effectiveness of Spectral Bands and Indices on Semantic Segmentation with Attention U-Net Using Sentinel-2A Imagery and ESA WorldCover Products”, 6^th Intercontinental Geoinformation Days, 13-14 June, Baku,
Azerbaijan.[Link]
Colkesen,I., Sefercik, U.G., Kavzoglu, T., Tonbul, H., Ozturk, M.Y., Altuntas, O.Y.,
Nazar, M.; Aydin, I., 2023. “Classification of Hybrid Maize Seeds (Zea Mays)
with Object-based Machine Learning Algorithms Using Multispectral UAV Imagery”,
6^th Intercontinental Geoinformation Days, 13-14 June, Baku,Azerbaijan.[Link]
Tonbul,H., Yılmaz, E.Ö.; Kavzoğlu, T., 2023. “Comparative Analysis of Deep
Learning and Machine Learning Models for Burned Area Estimation Using Sentinel-
2 Image: A Case Study in Mugla-Bodrum, Türkiye”. 10th International Conference
on Recent Advances in Air and Space Technologies (RAST’2023), 7 – 9 June,
Istanbul, Turkey[Link]
Colkesen,I., Kavzoglu, T., Sefercik, U.G., Altuntas, O.Y., Nazar, M., Ozturk, M.Y.,; Saygı, M., 2023. “Deep Learning Based Poplar Tree Detection and Counting
Using Multispectral UAV Images”, 6th Advanced Engineering Days, 5 March,
Mersin, Türkiye[Link]
Teke, A.; Kavzoğlu, T. 2023. “Explainable Artificial Intelligence Empowered
Landslide Susceptibility Mapping Using Extreme Gradient Boosting (XGBoost)”, 6th
Advanced Engineering Days, 5 March, Mersin, Türkiye.
Kavzoğlu,T.; Yılmaz, E.Ö. 2023. ”Investigation of Poplar Planted Areas In
Mid-Vegetation and Post-Vegetation Seasons with Sentinel-2A Images: A Case
Study Of Özbağ, Kırşehir”.III. International Istanbul Current
Scientific Research Congress, 8 – 9 February, Istanbul, Türkiye.
Teke, A.,Kavzoğlu, T. 2023. “Comparison of Predictive Performances of Machine
Learning Algorithms in Landside Susceptibility Mapping”. III. International
Istanbul Current Scientific Research Congress, 8 – 9 February, Istanbul,
Türkiye.
Yilmaz,E.O.; Kavzoglu, T. 2022. “Classification of Jilin-1 GP01 Hyperspectral
Image Using Machine Learning Techniques with Explainable Artificial
Intelligence”, 5th Intercontinental Geoinformation Days (IGD), 14 – 15 December,
NIGMT Foundation, New Delhi, India[Link]
Yildirim,E., Sefercik, U.G; Kavzoglu, T. 2022. “Automated Vehicle Detection and
Instance Segmentation from High-Resolution UAV Imagery based on YOLOv7”, 5th
Intercontinental Geoinformation Days (IGD), 14 – 15 December, NIGMT Foundation,
New Delhi, India.[Link]
Bilucan,
F., Teke, A.; Kavzoglu, T. 2022. “Susceptibility Mapping of Wildfires
Using XGBoost, Random Forest and AdaBoost: A Case Study of Mediterranean
Ecosystem”, Mediterranean Geosciences Union Annual Meeting 2022 (MedGU’2022),
27-30 November, Marrakesh, Morocco.[Link]
Kavzoglu,T. 2022. “Extraction of Poplar Cultivated Fields from Very High Resolution
Imagery Using OBIA, Feature Selection and Machine Learning Algorithms”, The 9th
International Conference on Wireless Networks and Mobile Communications, 26 –
29 October, Rabat, Morocco [Invited Speech]
Sildir, H.,Sarrafi, S.,; Kavzoglu, T. 2022. “A Simultaneous Training and Input
Selection Algorithm for Classification Problems using Piece-Wise
Approximations”, The 9th International Conference on the Foundations of Systems
Biology in Engineering (FOSBE’2022), 28 – 31 August, Boston, USA.[Link]
Yildirim,E. Nazar, M., Sefercik, U.G.; Kavzoglu, T. 2022. “Stone Pine (Pinus
Pinea L.) Detection from High-Resolution UAV Imagery Using Deep Learning
Model”, IEEE International Geoscience and Remote Sensing Symposium, 17 - 22
July, 2022, Kuala Lumpur, Malaysia.[Link]
Yilmaz,
E.O., Teke, A.,Kavzoglu, T. 2022. ”Performance Evaluation of Depthwise
Separable CNN and Random Forest Algorithms for Landslide Susceptibility
Prediction”, IEEE International Geoscience and Remote Sensing Symposium, 17 -
22 July, 2022, Kuala Lumpur, Malaysia[Link]
Colkesen, I., Kavzoglu, T., Tonbul, H., Ozturk, M.Y.,Yilmaz, E.O. 2022. “Poplar Tree
Index (PTI): A New Vegetation Index for Monitoring Poplar Cultivated Areas”,
IEEE International Geoscience and Remote Sensing Symposium, 17 - 22 July 2022,
Kuala Lumpur, Malaysia.[Link]
Kavzoglu, T.,Yilmaz, E.O. 2021. “The Effect of TheDifferent Number of Samples on The Performance of 2D CNN Model”, 2nd Intercontinental Geoinformation Days (IGD’2021), 5 – 6 May 2021, Mersin, Turkey.
Teke, A.,Kavzoglu, T., 2021. “Determination of Effective Predisposing Factors Using Random Forest-Based Gini Index in Landslide Susceptibility Mapping”, 2nd Intercontinental Geoinformation Days (IGD’2021), 5 – 6 May 2021, Mersin, Turkey[Link]
Bilucan, F.,Kavzoglu, T., 2021. “The effect of Auxiliary Data (Slope, Aspect and Elevation) on Classification Accuracy of Sentinel–2A Image Using Random Forest Classifier”, 2nd Intercontinental Geoinformation Days (IGD’2021), 5 – 6 May 2021, Mersin, Turkey[Link]
Sefercik, U.G., Kavzoglu, T., Colkesen I., Adali, S., Dinc, S., Nazar, M., Ozturk, M.Y., 2021. “Land Cover Classification Performance of Multispectral RTK UAVs”, The Sixth International Conference on nSmart City Applications: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (ISPRS’2021), 27 – 29 October, Karabük, Turkey[Link]
Sefercik, U.G., Kavzoglu, Nazar, M., Atalay C., Madak, M., 2021. “UAV – Based 3D Virtual Tour Creation”, The Sixthn International Conference on Smart City Applications: International Archives ofnthe Photogrammetry, Remote Sensing and Spatial Information Sciences,n(ISPRS’2021), 27 – 29 October, Karabük, Turkey[Link]
Ahmad, C.B., Jaafar, J., Abdullah, J., Rasam, A.R.A.,Kavzoglu, T., 2021. “Spatial Land Use and Land Cover (LULC) Changes for A Sustainable Biodiversity Conservation: Criteria for Potential Implementation of Buffer Zone at Terrestrial Urban-Nature Conservation Areas in FRIM Malaysia”, 5th International Conference on Research Methodology for Built Environment and Engineering (ICRMBEE2021), 10 November, Shah Alam, Malezya[Link]
Sefercik, U.G., Kavzoglu, T., Nazar, M., Atalay C., Madak, M., 2021. “Virtual Campus Tour Generation Using UAV Data: Case Study Gebze Technical University”, The 42nd Asian Conference on Remote Sensing (ACRS’2021), 22 – 24 November, Can Tho, Vietnam[Link]
Sefercik, U.G., Kavzoglu, T., Colkesen I., Adali, S., Dinc, S., Nazar, M.,Ozturk, M.Y., 2021. “3D Positioning Accuracy and Land Cover Classification Performance of the UAVs: Case Study of DJI Phantom IV Multispectral RTK”, The 42nd Asian Conference on Remote Sensing (ACRS’2021), 22–24 November, Can Tho, Vietnam[Link]
Colkesen, I., Ozturk, M.Y., Kavzoglu, T.,Sefercik, U.G., 2021. “Determination of Sea Surface Mucilage Formations Using Multitemporal Sentinel-2 Imagery”, The 42nd Asian Conference on Remote Sensing (ACRS’2021), 22 – 24 November, Can Tho, Vietnam[Link]
Kavzoglu, T., Tonbul, H.,Colkesen, I., 2021. “Evaluation of Atmospheric Correction Methods for Sentinel-2 Imagery in the Spectral Identification of Poplar (Populus Deltoides Bartr.) Species”, The 42nd Asian Conference on Remote Sensing (ACRS’2021), 22 – 24 November, Can Tho, Vietnam[Link]
Yildirim, E,Kavzoglu, T., 2021. “Performance Comparison of Deep Learning Techniques for Ship Detection Using Optical Satellite Images”, International Symposium on Applied Geoinformatics (ISAG’2021), 2 – 3 December 2021, Riga, Latvia[Link]
Kavzoglu, T., Colkesen, I., Tonbul, H.,Ozturk, M.Y., 2021.,“Evaluation of Potential Use
of Worldview-3 Imagery in Object-Based Classification of Hybrid Poplar (P. Deltoides) Cultivated Fields”, International Symposium on Applied Geoinformatics (ISAG’2021), 2 – 3 December 2021, Riga, Latvia[Link]
Bilucan, F.,Kavzoglu, T., 2021. “Contribution of Auxiliary and Ancillary Data to Land Use/Land Cover Classification Performance Using Sentinel-2A Images”, International Symposium on Applied Geoinformatics (ISAG’2021), 2 – 3 December 2021, Riga, Latvia[Link]
Sefercik, U.G., Kavzoglu, T., Colkesen, I., Nazar, M., Ozturk, M.Y., Adali, S.,Dinc, S., 2021. “Geolocation and Land Cover Classification Performance of Multispectral RTK UAVs”, International Symposium on Applied Geoinformatics (ISAG’2021), 2 – 3 December 2021, Riga, Latvia[Link]
Sefercik, U.G., Kavzoglu, T., Nazar, M., Atalay, C., Madak, M., 2021. “Integration of High-Resolution UAV Data into the Virtual Environment”, International Symposium on Applied Geoinformatics (ISAG’2021), 2–3 December 2021, Riga, Latvia[Link]
Teke, A., Kavzoglu, T., 2021. “A Markov Chain Framework for Ensemble Conditioning Factor Selection in Landslide Susceptibility Zonation”, International Symposium on Applied Geoinformatics (ISAG’2021), 2 – 3 December 2021, Riga, Latvia[Link]
Teke, A., Yilmaz, E.O.,Kavzoglu, T., 2021. “Comparative Assessment of Deep Learning and Machine Learning Models in Shallow Landslide Susceptibility Zonation”, International Symposium on Applied Geoinformatics (ISAG’2021), 2 – 3 December 2021, Riga, Latvia[Link]
Kavzoglu, T., Teke, A.,Bilucan, F. 2020. “Effectiveness of Different Machine Learning Algorithms in Landslide Susceptibility Mapping: A Case Study of Trabzon Province, Turkey”, ACRS’2020 9-11 November, Deqing, China.
Kavzoglu, T., Bilucan, F.,Teke, A., 2020. “Comparison of Support Vector Machines, Random Forest and Decision Tree Methods for Classification of Sentinel-2A Image Using Different Band Combinations”, ACRS’2020, 9 – 11 November, Deqing, China.
Tonbul, H., Kavzoğlu, T., 2019, “The Effect of Spectral Bands on Segmentation Quality Analysis with Optimum Parameter Determination”, X. Turkish Photogrammetry and Remote Sensing Union (TUFUAB) 2019, 25 – 27 April 2019, Aksaray, Turkey.
Yeğnidemir, S.,Kavzoğlu T., 2019, “Developing an Operational Geographical Information System for City Park Equipment: İzmit Case”, X. Turkish Photogrammetry and Remote Sensing Union (TUFUAB) 2019, 25 – 27 April 2019, Aksaray, Turkey.
Önder, Y.E.,Kavzoğlu T., 2019, “An Analysis of Traffic Accidents and Congestions in Istanbul Using Open Sources Software Packages”, X. Turkish Photogrammetry and Remote Sensing Union (TUFUAB) 2019, 25–27 April 2019, Aksaray, Turkey.
Tonbul, H.,Kavzoglu, T. 2019. “Application of Taguchi Technique and ANOVA in Parameter Evaluation and Optimization of Multi-Resolution Segmentation Parameters” 9th International Conference on Recent Advances in Space Technologies. 11 – 14 June 2019, Istanbul, Turkey. pp.387 – 391.
Kavzoglu, T.,Tonbul, H. 2019. “Investigating theEffect of Spatial Resolution on the Estimation of Optimal Segmentation Parameters using Worldview-2 and Sentinel-2 Images”, Geospatial Kuala Lumpur 2019, Kuala Lumpur, Malaysia, 1 – 3 October.
Kavzoglu, T., Yilmaz, E.O.,Tonbul, H. 2019. “Object-Based Land Use/Cover Change Detection Using Spatio-Temporal Images – A Case Study in Metropolitan City of Istanbul, Turkey”, The 40th Asian Conference on Remote Sensing (ACRS’2019), Daejeon, Korea, 14 – 18 October.
Kavzoglu, T., Colksen, I.,Tonbul, H. 2019.&#160; “Agricultural Crop Type Mapping Using Object-Based Image Analysis with Advanced Ensemble Learning Algorithms” The 40th Asian Conference on Remote Sensing (ACRS’2019), Daejeon, Korea, 14 – 18 October.
Colkesen, I., Tonbul, H.,Kavzoglu, T., 2019 “Object-based Image Classification of Poplar Tree with Ensemble Learning Methods Using Sentinel-2 Imagery”. International Symposium on Applied Geoinformatics, 7 – 9 November 2019. İstanbul, Turkey.
Tonbul, H., Colkesen, İ.,Kavzoglu, T., 2019 “Forest Fire and Burn Severity Analysis in Cefalu Region of Italy Using Sentinel-2 Imagery”. International Symposium on Applied Geoinformatics, 7 – 9 November 2019. İstanbul, Turkey.
Kavzoglu, T., Yilmaz, E.O.,Tonbul, H. 2019. “Investigating the Effect of Spatial Resolution on the Estimation of Optimal Segmentation Parameters using Worldview-2 and Sentinel-2 Images”. AGU Fall Meeting, 9 – 13 December, San Francisco, USA.&#160;
Kavzoglu, T., Tonbul, H. 2018. “Segmentation Quality
Assessment for Varying Spatial Resolutions of Very High-Resolution Satellite
Imagery”, EURASIAN GIS 2018 Congress, 4 – 7 September 2018, Baku, Azerbaijan.&#160;
Kavzoglu, T.,Tonbul, H., Colkesen, I. 2018. “Dimensionality Reduction for Hyperspectral Images to Improve Object-Based Image Classification Using Feature Selection andPrincipal Components Analysis”, The 39th Asian Conference on Remote Sensing (ACRS’2018), 15 – 19 October 2018. Kuala Lumpur, Malaysia.
Kavzoglu, T.,Tonbul, H. 2018. “Impervious Surface Extraction from Worldview-2 Imagery Using an Object-Oriented Rule-Based Approach”, AGU Fall Meeting, 10 – 14 December 2018, Washington DC, USA.
Kavzoglu, T.,Tonbul, H. 2017. “A Comparative Study of Segmentation Quality for Multi-resolution Segmentation and WatershedTransform”, Recent Advances in Space Technologies, Space Economy: Development and&#160;Sustainability, 19–22 June, Istanbul pp.113 – 117.
Kavzoglu, T.,Tonbul, H. 2017. “An Experimental Comparison of Multi-Resolution Segmentation and K-Means Clustering for Object-Based Classification of VHR Imagery”, RSPSoc 2017 Annual Conference:EarthPlanets: Making the Most of Our Observations. 5–8 September,London, UK.
Tonbul, H., Kavzoglu, T. 2017. “The Effect of Shape and Compactness Parameters on Segmentation Quality: A Case Study”, International Symposium on GIS Applications in Geography Geosciences, 18–21 October, Çanakkale.
Kavzoglu, T.,Tonbul, H. 2017. “Selecting Optimal Parameters of SLIC Superpixels by Using Discrepancy Measures”, 38th Asian Conference on Remote Sensing (ACRS’ 2017), October 23 – 27, New Delhi, India.
Colkesen, I., Sahin, E.K.,Kavzoglu, T. 2017. “Performance Analysis of IWSS Hybrid Filter-Wrapper Feature Selection Method in Object-Based Crop-Type Classification”, AGU Fall Meeting, 11 – 15 December 2017,
New Orleans, USA.
Sahin, E.K., Colkesen, I.,Kavzoglu, T. 2017. “Multi-Collinearity Based Model Selection for Landslide Susceptibility Mapping: A Case Study from Ulus District of Karabuk, Turkey”, AGU Fall Meeting, 11 – 15 December 2017, New Orleans, USA.
Tonbul, H. Kavzoglu, T. 2017. “Object-based Forest Fire Analysis for Pedrógão Grande Fire Using Landsat 8 OLI and Sentinel-2A Imagery”, AGU Fall Meeting, 11 – 15 December 2017, New Orleans, USA.
Kavzoglu, T., Yildiz Erdemir, M.,Tonbul, H. 2016. “A Region-Based Multi-Scale Approach for Object-Based Image Analysis”, XXIII Congress of International Society of Photogrammetry and Remote Sensing(ISPRS’2016), Prague, Czech Republic, 12 – 19 July.
Tonbul, H., Kavzoglu, T.,Kaya, S. 2016. “Assessment of Fire Severity and Post-Fire Regeneration Based on Topographical Features Using Multitemporal Landsat Imagery: A Case Study in Mersin, Turkey”, XXIII Congress of International Society of Photogrammetry and Remote Sensing (ISPRS’2016), Prague, Czech Republic, 12 – 19 July.
Kavzoglu, T., Yildiz Erdemir, M. and Tonbul, H. 2016. “Evaluating Performances of Spectral Indices for Burned Area Mapping Using Object-Based Image Analysis”, International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 5 – 8 July,
Montpellier, France.
Kavzoglu, T.,Yildiz Erdemir, M. 2016. “A Hierarchical Scale Setting Strategy for Improved Segmentation Performance Using Very High-Resolution Images”, International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 5 – 8 July,
Montpellier, France.&#160;
Colkesen, I., Kavzoglu, T. 2016. “Performance Evaluation of Rotation Forest for SVM-Based Recursive Feature Elimination Using Hyperspectral Imagery”. 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPER2016), 21 – 24 August, Los Angeles, USA. pp. 1 – 5. doi:10.1109/WHISPERS.2016.8071792
Tonbul, H., Kavzoglu, T. 2016. “Performance Evaluation of Shape/Compactness Segmentation Parameters in Image Classification Using Quickbird-2 Imagery”. AGU Fall Meeting, 12 – 16 December 2016, San Francisco, CA.
Sayim, I., Kavzoglu, T.,Sahin, E.K. 2015. “GBAS Availability Analysis for Trabzon Airport Using True Terrain Masking Data”, Proceedings of the 7th International Conference on Recent Advances in Space Technologies (RAST’2015): Emerging Private Space. Istanbul, pp.117–122.
Sahin, E.K., Ipbuker, C.,Kavzoglu, T. 2015. “A Comparison of Feature and Expert-based Weighting Algorithms in Landslide Susceptibility Mapping”, World Multidisciplinary Earth Sciences Symposium 2015 (WMESS’2015), Prague, Czech Republic, 7 – 11 September, pp.171.
Kavzoglu, T.,Yıldız, M. 2014. "Parameter-Based Performance Analysis of Object-Based Image Analysis Using Aerial and Quikbird-2 Images", ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-7, ISPRS Technical Commission VII Symposium, pp.31– 37, doi:10.5194/isprsannals-II-7-31-2014.
Kaya, S., Kavzoglu T., Tonbul, H. 2014. “Detection of Burn Area and Severity with MODIS Satellite Images and Spatial Autocorrelation Techniques”, AGU Fall Meeting, 15 – 19 December 2014, San Francisco, CA.
Kavzoglu, T.,Colkesen, I. 2012. "The Effects of Training Set Size for the Performance of Support Vector Machines and Decision Trees", 10th International Symposium on Spatial Accuracy nAssessment in Natural Resources and Environmental Sciences from 10th to 13th July 2012, Florianópolis, SC, Brazil. pp.127 – 132.
Yildiz, M., Sahin, E.K., Colkesen I., Kavzoglu, T. 2012. "An Assessment of the Effectiveness of Segmentation Methods on Classification Performance", 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences from 10th to 13th July 2012, Florianópolis, SC, Brazil. pp.133 – 138.
Kavzoglu, T. 2008. “The Use of Artificial Neural Networks for Remote Sensing”, International Workshop on Neural Network 2008 – The Neural Paradigm: Past, Present and Future, 22 – 24 May, Vietri sul Mare, Italy[Invited Lecture].
Kavzoglu T., Karsli, F. 2008. “Calibration of a Digital Single Lens Reflex (SLR) Camera Using Artificial Neural Networks”, ISPRS 2008, 3 – 11 July, Beijing, China.
Kavzoglu, T.,Dinibutun, M. B. 2006. “Detecting Hydrocarbon Leakages Using Remotely Sensed Images”, Proceedings of the International Symposium and Exhibition on Geoinformation 2006 (ISG’06), 19 – 21 September,Kuala Lumpur,Malaysia.
Çetin, M., Kavzoglu, T.,Musaoğlu, N. 2004.“Classification of Multi-Spectral, Multi-Temporal and Multi-Sensor Images Using Principal Component Analysis and Artificial Neural Networks: Beykoz Case”, 12 – 23 July, ISPRS’2004,İstanbul.
Baz, I., Kavzoglu T.,Geymen, A. 2002.“User-Friendly Interface Development for Urban Information Systems Used in Local Governments”. Proceedings of the International Symposium on Geographical Information Systems (CD-ROM), 23 – 26 September, İstanbul.
Baz, I., Kavzoglu, T.,Ermisoglu, R. 2002. “Designing an Urban Information System for Monitoring Real Estate and Environment Cleaning Taxes in Municipalities”. Proceedings of the International Symposium on Geographical Information Systems (CD-ROM), 23 – 26 September, İstanbul.
Kavzoglu, T.,Mather, P.M. 2001. “Effective Use of Artificial Neural Networks for Remotely Sensed Image Classification”. Proceedings of the First Annual Meeting of the Remote Sensing and Photogrammetry Society, 12 – 14 September, London, UK, pp.92 – 98.
Gómez, H., Kavzoglu T.,Mather, P.M. 2001. “Artificial Neural Network Application in Landslide Hazard Zonation in the Venezuelan Andes”. Proceedings of the Fifth International Conference on Geomorphology, 23 – 28 August, Tokyo, Japan.
Kavzoglu T., Mather, P.M. 2000. “The Use of Feature Selection Techniques in the Context of Artificial Neural Networks”. Proceedings of the 26th Annual Conference of the Remote Sensing Society (CD-ROM), 12 – 14 September, Leicester, UK.
Kavzoglu, T., Jaafar J.,Mather, P.M. 2000.“Extraction of Field Boundary Information from Classified Satellite Images”. Proceedings of GIS Research UK (GISRUK'2000), 5 – 7 April, York, UK, pp.156 – 160.
Kavzoglu T.,Mather, P.M. 2000. “Using Feature Selection Techniques to Produce Smaller Neural Networks with Better Generalization Capabilities”. Proceedings of the IEEE 2000 International Geoscience and Remote Sensing Symposium (IGARSS'2000), 24 – 28 July, Hawaii, USA, VII, pp.3069 – 3071.
Kavzoglu, T. 1999. “Determining Optimum Structure for Artificial Neural Networks”. Proceedings of the 25th Annual Technical Conference and Exhibition of the Remote Sensing Society (Earth Observation: From Data to Information), 8 – 10 September, Cardiff, UK, pp.675 – 682.
Kavzoglu T.,Vieira, C.A.O. 1998. “An Analysis of Artificial Neural Network Pruning Algorithms in Relation to Land Cover Classification Accuracy”. Proceedings of the Remote Sensing Society Student Conference, 23 April, Oxford, UK, pp.53 – 58.
Vieira, C.A.O. and Kavzoglu, T. 1998. “Using Multitemporal, Multispectral and Multisource Remotely Sensed Data to Classify Crops: An Innovative Approximation”. Proceedings of the Remote Sensing Society Student Conference, Oxford, UK, pp.47 – 52.
Kavzoglu T.,Mather, P.M. 1998. “Assessing&#160; Artificial Neural Network Pruning Algorithms”. Proceedings of the 24th Annual Conference and Exhibition of the Remote Sensing Society, 9 – 11 September, Greenwich, UK, pp.603 – 609.

Ders Kodu	Ders Adı

Yıldırım, E. 2022. “Object Detection from Optical Satellite Images Using Deep Learning Techniques”, Yüksek Lisans Tezi, Gebze Teknik Üniversitesi.

Teke, A. 2022. “Applications of Ensemble Learning Paradigm and Advanced Hyperparameter Optimization Techniques in Landslide Susceptibility Mapping”, Yüksek Lisans Tezi, Gebze Teknik Üniversitesi.

Göral, M. 2022. “Classification of SatelliteImages, Environmental Change Analysis and Mucilage Mapping Using Google EarthEngine”,MSc Thesis, Institute of Natural and Applied Sciences, Gebze TechnicalUniversity.</div>

Tonbul, H. 2021. “Optimization of
Region-Based Segmentation Algorithm Based on Natural Land Cover Boundaries in
Object-Based Classification” PhD Thesis, Gebze Technical University.

Bilücan, F. 2021. “Ancillary and Auxiliary Data Used in the Processing of Satellite Images and Their Effects on Classification Accuracy”, MSc Thesis, Institute of Natural and Applied
Sciences, Gebze Technical University.

Barun, A. 2021. “Comparative Analysis of Digital Surface and Terrain Models Produced from UAV Images with Lidar and Digital Photogrammetry Methods”, MSc Thesis, Institute of Natural and
Applied Sciences, Gebze Technical University.

Yılmaz, E.Ö. 2020. “Classification of Remotely Sensed Data by Deep Learning Method”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Technical University.

Çelik, F. 2020. “Detection of Trees and Crown Sizes Using Digital Aerial Images”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Technical University.

Önder, Y.E. 2019. “GIS Analysis of Accidents in Istanbul in relation to Traffic Congestion and Signalization Information”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Technical
University.

Yeğnidemir, S. 2019. “Monitoring and Managing City Park Equipment with Operational Geographical Information System”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Technical
University.

Yaşar, M.İ., 2018, “Design of Spatial Information System for Unmanned Air Vehicles (UAVs) in Turkey”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Technical University.

Atak, H., 2018, “Producing Orthophoto Maps Using Unmanned Air Vehicles and Accuracy Analysis”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Technical University.

Kuru, H. 2018, “Use of Geographic Information Systems in Waste Management: Beykoz Case”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Technical University.

Kutluğ Şahin, E. 2017, “Using Feature Selection Techniques in the Production of Landslide Susceptibility Maps and Determination of Effective Conditioning Factors”, PhD Thesis, Istanbul Technical University.

Dernek,N., 2017, “Determination of Sea Ice in Arctic Region and Antarctic Continent by Remote Sensing Methods”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Technical University.

Terzioğlu, A.G., 2015, “Zoning Plan Application for Multi-Owner Parcels: Sultanbeyli Case”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Technical University.

Şahin,&amp;amp;#160;E.K., 2012, "GIS Based Landslide Susceptibility Mapping Using Multi Criteria Decision Analysis Method: The Case of Trabzon Province", MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Yıldız, M., 2012, “Investigation of Performances of Image Segmentation Algorithms Used in Remote Sensing Image Analysis”. MSc Thesis, Institute of Natural andApplied Sciences, Gebze Institute of Technology.

Demirci, Y.Z., 2010, “Designing a Tourism Information System for City of Kocaeli”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Çevik, H.S., 2009, “Environment Quality Analysis Oriented Information System Design”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Çölkesen, İ., 2009, “Comparing and Analyzing Advanced Classification Techniques in Remote Sensing”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Mermer, N., 2009, “Establishment of a Tourism Information System for Istanbul”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Candemir, Y., 2008, “Adaptation of historical GOAD Maps of Istanbul into Information System and Comparison with Recent Situation”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Uslu, A., 2007, “An Analysıs of Urban Transformation for the City of Diyarbakır Using Remotely Sensed Images”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Süslü,A., 2007, “Determination of Cultivated Field and Yield Estimation Using Remote Sensing Method in the Agricultural Fields of Şereflikoçhisar”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Şen, Y.E., 2006, “Automatic Recognition of Wear and Changes on Road Infrastructure Using Satellite Images and Road Maintenance Planning”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Arslan, A., 2006, “Management Information Systems Designed to Government Real Estate: Çankaya Example”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Yılmaz, E., 2005, “Design of Airport Information System”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Dinibütün,M.B., 2005, “Determination of Hydrocarbon Leakages Using Satellite Imagery: Batman Case”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Güzel, C., 2004, “Analysis of Temporal Changes in Gebze District of Kocaeli Using High-Resolution Satellite Imagery”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

İmamoğlu, M.Z., 2004, “Water Quality Assessment in Halic Bay of Istanbul Using IRS-LISS Satellite Imagery”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Ermişoğlu, R., 2002, “Design of an Urban GIS Application for Tracking of Estate and Environmental Taxes”, MSc Thesis, Institute of Natural and Applied Sciences, Gebze Institute of Technology.

Doktora: "An Investigation of the Design and Use of Feed-Forward Artificial Neural Networks in the Classification of Remotely Sensed Images", Nottingham University (2001)
Yüksek lisans: "An Analysis of the Characteristics of Feed-Forward Artificial Neural Networks in Relation to Land Cover Classification Accuracy", Nottingham University (1997)
Lisans: "Röleve Alımında Yersel Fotogrametri Uygulaması", Karadeniz Teknik Üniversitesi (1993)

Akademik/İdari ve Danışmanlık Görevleri :
- Türkiye Bilimler Akademisi (TÜBA) Asli Üyeliği (2024-Devam)
- Mühendislik Fakültesi Dekanlığı (2019-2023)
- Havacılık ve Uzay Bilimleri Fakültesi Dekanlığı (2020-2021 )
- Türkiye Bilimler Akademisi (TÜBA) Asosiye Üyeliği (2014-2024)
- Harita Mühendisliği Bölümü Bölüm Başkanlığı (2003-2023)
- Beykoz Belediye Başkan Danışmanlığı (2010-2019)
- Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği Konsey Üyesi (2013-Devam)
- İBB Orotofoto Projesinde Danışmanlık Görevi (2016-2018)
- Gebze Bilişim ve Teknoloji Vakfı Mütevelli Heyeti Üyesi (2014-Devam)
- Rektör Yardımcısı (2010-2014)

Prof. Dr. Taşkın KAVZOĞLU Harita Mühendisliği

Prof. Dr. Taşkın KAVZOĞLU
Harita Mühendisliği