Oktay Aksu

@okan.edu.tr

Geomatics Engineering
Istanbul Okan University

RESEARCH, TEACHING, or OTHER INTERESTS

Earth and Planetary Sciences, Information Systems and Management, Computers in Earth Sciences
4

Scopus Publications

166

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of Contributing Factors in Izmir, Türkiye
    Muzaffer Can Iban, Oktay Aksu
    Remote Sensing, 2024
    Wildfire susceptibility maps play a crucial role in preemptively identifying regions at risk of future fires and informing decisions related to wildfire management, thereby aiding in mitigating the risks and potential damage posed by wildfires. This study employs eXplainable Artificial Intelligence (XAI) techniques, particularly SHapley Additive exPlanations (SHAP), to map wildfire susceptibility in Izmir Province, Türkiye. Incorporating fifteen conditioning factors spanning topography, climate, anthropogenic influences, and vegetation characteristics, machine learning (ML) models (Random Forest, XGBoost, LightGBM) were used to predict wildfire-prone areas using freely available active fire pixel data (MODIS Active Fire Collection 6 MCD14ML product). The evaluation of the trained ML models showed that the Random Forest (RF) model outperformed XGBoost and LightGBM, achieving the highest test accuracy (95.6%). All of the classifiers demonstrated a strong predictive performance, but RF excelled in sensitivity, specificity, precision, and F-1 score, making it the preferred model for generating a wildfire susceptibility map and conducting a SHAP analysis. Unlike prevailing approaches focusing solely on global feature importance, this study fills a critical gap by employing a SHAP summary and dependence plots to comprehensively assess each factor’s contribution, enhancing the explainability and reliability of the results. The analysis reveals clear associations between factors such as wind speed, temperature, NDVI, slope, and distance to villages with increased fire susceptibility, while rainfall and distance to streams exhibit nuanced effects. The spatial distribution of the wildfire susceptibility classes highlights critical areas, particularly in flat and coastal regions near settlements and agricultural lands, emphasizing the need for enhanced awareness and preventive measures. These insights inform targeted fire management strategies, highlighting the importance of tailored interventions like firebreaks and vegetation management. However, challenges remain, including ensuring the selected factors’ adequacy across diverse regions, addressing potential biases from resampling spatially varied data, and refining the model for broader applicability.
  • Earthquakes in Kahramanmaras; Assessment of Affected Areas and Recommendations for Settlement Regeneration
    Oktay AKSU, Agne KARLIKANOVAITE-BALIKCI
    Eurasia Proceedings of Science Technology Engineering and Mathematics, 2023
    On February 6, 2023, two catastrophic earthquakes hit Turkey, causing significant damage and casualties. The main causes of these results are improper constructions and settlement placements. Regions where earthquake damage is typical are cities developed on fertile agricultural lands. Site selection for land suitability is one of the main application areas of the Geographical Information System (GIS). The Multi-Criteria Decision Approach (MCDA) has provided consistent and sufficient alternatives to decision-makers for land use planning activities for many years. This study focused on a large area covering five provinces with a total area of 36.409 km2 as the whole region represents 110.000 km2 and is challenging to manage in a single segment. Moreover, the heaviest damages were observed in the study area. Nine criteria were considered while using the weighted overlay function of the GIS via the Analytical Hierarchical Process (AHP). Agricultural and forest regions were excluded from the scope and the entire study area; 84.0% unsuitable, 0.4% low suitable, 1.5% moderately suitable, 11.3% suitable, and 3.2% highly suitable areas were identified for the post-disaster regeneration of settlements.
  • A model for big spatial rural data infrastructure in Turkey: Sensor-driven and integrative approach
    Muzaffer Can Iban, Oktay Aksu
    Land Use Policy, 2020
  • Considerations on the land management system approach in Turkey by the experiences of a case study
    Oktay Aksu, Muzaffer Can Iban
    Survey Review, 2019
    In Turkey, applications and activities for the use, acquisition and arrangements of land tenure rights are executed under the authorisation and responsibilities of a variety of public institutions in terms of concerned legislative framework. In this paper, a case study has been implemented for Istanbul not only to evaluate the quality and usability of existing data from different institutions but also to get conclusions and recommendations for future land management works. In the context of this sample work of preparing an inventory for land management and land use in 1:25 000 scale and related synthesis and pre-feasibility analyses; the inventory praxis for urban and rural areas have been undertaken separately. Layer overlay and synthesis of the data in the database are the essential parts of analysing and extracting the outputs supporting land management activities for the purpose of taking correct decisions. In that manner, an overview map of Istanbul's natural and settlement areas has been extracted.

RECENT SCHOLAR PUBLICATIONS

  • Adil Moumane*, Adnane Al Karkouri 2, Abdessamad Elmotawakkil 3, Wafa Saleh Alkhuraiji 4, Nazih Y. Rebouh 5 and Youssef M. Youssef 6
    H Bargali, L Bin, O Aksu
    2025
  • Kentsel dönüşüm alanlarında taşınmaz değerleme yöntemleri karşılaştırılması
    S Kaşlıköse, O Aksu
    Türkiye Arazi Yönetimi Dergisi 6 (2), 94-107 , 2024
    2024
  • SHAP-driven explainable artificial intelligence framework for wildfire susceptibility mapping using MODIS active fire pixels: An in-depth interpretation of contributing factors …
    MC Iban, O Aksu
    Remote Sensing 16 (15), 2842 , 2024
    2024
    Citations: 60
  • Katı atık düzenli depolama alanlarının CBS ile belirlenmesi: Bakü örneği
    M Vahablı, A Karlikanovaite-balıkçı, O Aksu
    Geomatik 9 (3), 333-347 , 2024
    2024
  • KATI ATIK DÜZENLİ DEPOLAMA ALANLARININ CBS İLE BELİRLENMESİ: BAKÜ ÖRNEĞİ
    O AKSU
    GEOMATIK Учредители: Murat Yakar , 2024
    2024
  • Earthquakes in Kahramanmaras; Assessment of Affected Areas and Recommendations for Settlement Regeneration
    O Aksu, A Karlıkanovaıte-balıkcı
    The Eurasia Proceedings of Science, Technology, Engineering and Mathematics … , 2023
    2023
    Citations: 2
  • İstanbul’da kentsel dönüşüm proje alanları için rezerv alan tespiti
    AB Cılız, O Aksu
    Türkiye Arazi Yönetimi Dergisi 5 (2), 57-65 , 2023
    2023
    Citations: 5
  • Valuation Mapping of Rural Areas in Central Turkey: A Model Proposal Case Study
    AO Balikci AK
    Open Access Journal of Waste Management & Xenobiotics ISSN :2640-2718 6 (1) , 2023
    2023
  • A model for big spatial rural data infrastructure in Turkey: Sensor-driven and integrative approach
    MC Iban, O Aksu
    Land Use Policy 91, 104376 , 2020
    2020
    Citations: 28
  • Considerations on the land management system approach in Turkey by the experiences of a case study
    O Aksu, MC Iban
    Survey review 51 (364), 87-96 , 2019
    2019
    Citations: 21
  • Zemin sıvılaşmasına yönelik fotogrametrik uygulamalar
    O AKSU, G TOZ
    İTÜDERGİSİ/d 1 (2) , 2010
    2010
    Citations: 4
  • Farklı kaynaklardan elde edilen sayısal yükseklik modellerinin ortofoto doğruluğuna etkilerinin araştırılması
    L Arslanbek
    Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi, Afyonkarahisar , 2009
    2009
    Citations: 6
  • Zemin Sıvılaşması ve Faylanmaya Bağlı Yer Değişimlerinin Hava Fotoğrafları Yardımıyla Tespiti
    VO Atak, O Aksu, Ö Bircan, Ö Aydan, H Koca, M Karakaya
    Harita Dergisi 134, 44-60 , 2005
    2005
    Citations: 4
  • Accuracy assessment of high resolution satellite images
    L Iscan, O Aksu, M Önder, VO Atak, O Lenk, MA Gürdal
    XX. Congress of International Society for Photogrammetry and Remote Sensing … , 2004
    2004
    Citations: 5
  • Orthorectification of SPOT images with the same-pass constraints
    M Erdogan, O Eker, A Yilmaz, O Aksu
    XXth ISPRS congress, Istanbul, Turkey, 12-23 , 2004
    2004
    Citations: 8
  • Two functional software for internal use; flight planning and presenting of digital orthophotos
    AS Demirel, H Akdeniz, O Aksu
    Proceedings of Commission IV, XXth ISPRS Congress, 12-23 , 2004
    2004
    Citations: 6
  • Measurement of ground deformation induced by liquefaction and faulting in the 1999 Kocaeli earthquake area
    O Atak, O Aksu, O Aydan, M Onder, G Toz
    Proceedings of the XXth ISPRS Congress, Istanbul, Turkey, 12-23 , 2004
    2004
    Citations: 9
  • Algılayıcı Yöneltme Sistemleri
    VO Atak, O Aksu
    Harita Dergisi, 26-37 , 2004
    2004
    Citations: 7
  • Zemin Sıvılaşması ve Fay Hareketleri Nedeniyle Oluşan Konum Değişikliklerinin Fotogrametrik Yöntemlerle Belirlenmesi
    O Aksu
    Fen Bilimleri Enstitüsü , 2002
    2002
    Citations: 1
  • Analitik ve digital fotogrametrik nirengi yöntemlerinin kıyaslanması
    O Aksu
    1998

MOST CITED SCHOLAR PUBLICATIONS

  • SHAP-driven explainable artificial intelligence framework for wildfire susceptibility mapping using MODIS active fire pixels: An in-depth interpretation of contributing factors …
    MC Iban, O Aksu
    Remote Sensing 16 (15), 2842 , 2024
    2024
    Citations: 60
  • A model for big spatial rural data infrastructure in Turkey: Sensor-driven and integrative approach
    MC Iban, O Aksu
    Land Use Policy 91, 104376 , 2020
    2020
    Citations: 28
  • Considerations on the land management system approach in Turkey by the experiences of a case study
    O Aksu, MC Iban
    Survey review 51 (364), 87-96 , 2019
    2019
    Citations: 21
  • Measurement of ground deformation induced by liquefaction and faulting in the 1999 Kocaeli earthquake area
    O Atak, O Aksu, O Aydan, M Onder, G Toz
    Proceedings of the XXth ISPRS Congress, Istanbul, Turkey, 12-23 , 2004
    2004
    Citations: 9
  • Orthorectification of SPOT images with the same-pass constraints
    M Erdogan, O Eker, A Yilmaz, O Aksu
    XXth ISPRS congress, Istanbul, Turkey, 12-23 , 2004
    2004
    Citations: 8
  • Algılayıcı Yöneltme Sistemleri
    VO Atak, O Aksu
    Harita Dergisi, 26-37 , 2004
    2004
    Citations: 7
  • Farklı kaynaklardan elde edilen sayısal yükseklik modellerinin ortofoto doğruluğuna etkilerinin araştırılması
    L Arslanbek
    Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi, Afyonkarahisar , 2009
    2009
    Citations: 6
  • Two functional software for internal use; flight planning and presenting of digital orthophotos
    AS Demirel, H Akdeniz, O Aksu
    Proceedings of Commission IV, XXth ISPRS Congress, 12-23 , 2004
    2004
    Citations: 6
  • İstanbul’da kentsel dönüşüm proje alanları için rezerv alan tespiti
    AB Cılız, O Aksu
    Türkiye Arazi Yönetimi Dergisi 5 (2), 57-65 , 2023
    2023
    Citations: 5
  • Accuracy assessment of high resolution satellite images
    L Iscan, O Aksu, M Önder, VO Atak, O Lenk, MA Gürdal
    XX. Congress of International Society for Photogrammetry and Remote Sensing … , 2004
    2004
    Citations: 5
  • Zemin sıvılaşmasına yönelik fotogrametrik uygulamalar
    O AKSU, G TOZ
    İTÜDERGİSİ/d 1 (2) , 2010
    2010
    Citations: 4
  • Zemin Sıvılaşması ve Faylanmaya Bağlı Yer Değişimlerinin Hava Fotoğrafları Yardımıyla Tespiti
    VO Atak, O Aksu, Ö Bircan, Ö Aydan, H Koca, M Karakaya
    Harita Dergisi 134, 44-60 , 2005
    2005
    Citations: 4
  • Earthquakes in Kahramanmaras; Assessment of Affected Areas and Recommendations for Settlement Regeneration
    O Aksu, A Karlıkanovaıte-balıkcı
    The Eurasia Proceedings of Science, Technology, Engineering and Mathematics … , 2023
    2023
    Citations: 2
  • Zemin Sıvılaşması ve Fay Hareketleri Nedeniyle Oluşan Konum Değişikliklerinin Fotogrametrik Yöntemlerle Belirlenmesi
    O Aksu
    Fen Bilimleri Enstitüsü , 2002
    2002
    Citations: 1
  • Adil Moumane*, Adnane Al Karkouri 2, Abdessamad Elmotawakkil 3, Wafa Saleh Alkhuraiji 4, Nazih Y. Rebouh 5 and Youssef M. Youssef 6
    H Bargali, L Bin, O Aksu
    2025
  • Kentsel dönüşüm alanlarında taşınmaz değerleme yöntemleri karşılaştırılması
    S Kaşlıköse, O Aksu
    Türkiye Arazi Yönetimi Dergisi 6 (2), 94-107 , 2024
    2024
  • Katı atık düzenli depolama alanlarının CBS ile belirlenmesi: Bakü örneği
    M Vahablı, A Karlikanovaite-balıkçı, O Aksu
    Geomatik 9 (3), 333-347 , 2024
    2024
  • KATI ATIK DÜZENLİ DEPOLAMA ALANLARININ CBS İLE BELİRLENMESİ: BAKÜ ÖRNEĞİ
    O AKSU
    GEOMATIK Учредители: Murat Yakar , 2024
    2024
  • Valuation Mapping of Rural Areas in Central Turkey: A Model Proposal Case Study
    AO Balikci AK
    Open Access Journal of Waste Management & Xenobiotics ISSN :2640-2718 6 (1) , 2023
    2023
  • Analitik ve digital fotogrametrik nirengi yöntemlerinin kıyaslanması
    O Aksu
    1998