Hasan Tonbul

E-postatonbulhitu.edutr
Web sitesihttps://www.itu.edu.tr/tr

İTÜ Ayazağa Kampüsü
34000 Istanbul
Turkey

h-index

Yıla göre araştırma çıktıları

Parmak izi

Hasan Tonbul‘in aktif olduğu araştırma başlıklarına göre filtreleme yapabilirsiniz. Bu konu etiketleri bu kişinin yayın, proje ve çalışmalarından üretilmektedir.

1 Benzer Profiller

11 Makale
5 Konferans katkısı
5 Yazı
3 Konferans makalesi

Machine-learning wildfire susceptibility mapping with SHAP-based explainability in Türkiye’s fire-prone regions
Tonbul, H. & Veraverbeke, S., Oca 2026, In: Stochastic Environmental Research and Risk Assessment. 40, 1, 2.
Araştırma sonucu: Dergiye katkı › Makale › bilirkişi
2 Atıf (Scopus)
Construction and implementation of a poplar spectral library based on phenological stages for land cover classification using high-resolution satellite images
Kavzoglu, T., Colkesen, I., Atesoglu, A., Tonbul, H., Yilmaz, E. O., Ozlusoylu, S. & Ozturk, M. Y., 2024, In: International Journal of Remote Sensing. 45, 6, p. 2049-2072 24 p.
Araştırma sonucu: Dergiye katkı › Makale › bilirkişi
5 Atıf (Scopus)
Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye’s Mediterranean region
Tonbul, H., Ara 2024, In: Earth Science Informatics. 17, 6, p. 5709-5731 23 p.
Araştırma sonucu: Dergiye katkı › Makale › bilirkişi
19 Atıf (Scopus)
Marine mucilage mapping with explained deep learning model using water-related spectral indices: a case study of Dardanelles Strait, Turkey
Yilmaz, E. O., Tonbul, H. & Kavzoglu, T., Oca 2024, In: Stochastic Environmental Research and Risk Assessment. 38, 1, p. 51-68 18 p.
Araştırma sonucu: Dergiye katkı › Makale › bilirkişi
14 Atıf (Scopus)
Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy
Yilmaz, E. O., Kavzoglu, T., Colkesen, I., Tonbul, H. & Teke, A., 11 Kas 2024, In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 10, 5, p. 259-265 7 p.
Araştırma sonucu: Dergiye katkı › Konferans makalesi › bilirkişi

Açık erişim
Comparative Analysis of Deep Learning and Machine Learning Models for Burned Area Estimation Using Sentinel-2 Image: A Case Study in Muǧla-Bodrum, Turkey
Tonbul, H., Yilmaz, E. O. & Kavzoglu, T., 2023, Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023. Institute of Electrical and Electronics Engineers Inc., (Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023).
Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi
4 Atıf (Scopus)
Multi-seasonal evaluation of hybrid poplar (P. Deltoides) plantations using Worldview-3 imagery and State-Of-The-Art ensemble learning algorithms
Colkesen, I., Kavzoglu, T., Atesoglu, A., Tonbul, H. & Ozturk, M. Y., 1 Nis 2023, In: Advances in Space Research. 71, 7, p. 3022-3044 23 p.
Araştırma sonucu: Dergiye katkı › Makale › bilirkişi
16 Atıf (Scopus)

Hasan Tonbul

Kişisel profil

Parmak izi

Son beş yıldaki işbirlikleri ve araştırma alanları

Daha fazla bilgi edinin

Machine-learning wildfire susceptibility mapping with SHAP-based explainability in Türkiye’s fire-prone regions

Construction and implementation of a poplar spectral library based on phenological stages for land cover classification using high-resolution satellite images

Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye’s Mediterranean region

Marine mucilage mapping with explained deep learning model using water-related spectral indices: a case study of Dardanelles Strait, Turkey

Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy

Comparative Analysis of Deep Learning and Machine Learning Models for Burned Area Estimation Using Sentinel-2 Image: A Case Study in Muǧla-Bodrum, Turkey

Multi-seasonal evaluation of hybrid poplar (P. Deltoides) plantations using Worldview-3 imagery and State-Of-The-Art ensemble learning algorithms

Hasan Tonbul

Kişisel profil

Parmak izi

Son beş yıldaki işbirlikleri ve araştırma alanları

Araştırma Çıktıları

Machine-learning wildfire susceptibility mapping with SHAP-based explainability in Türkiye’s fire-prone regions

Construction and implementation of a poplar spectral library based on phenological stages for land cover classification using high-resolution satellite images

Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye’s Mediterranean region

Marine mucilage mapping with explained deep learning model using water-related spectral indices: a case study of Dardanelles Strait, Turkey

Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy

Comparative Analysis of Deep Learning and Machine Learning Models for Burned Area Estimation Using Sentinel-2 Image: A Case Study in Muǧla-Bodrum, Turkey

Multi-seasonal evaluation of hybrid poplar (P. Deltoides) plantations using Worldview-3 imagery and State-Of-The-Art ensemble learning algorithms