Explainable Sinkhole Susceptibility Mapping Using Machine-Learning-Based SHAP: Quantifying and Comparing the Effects of Contributing Factors in Konya, Türkiye
APPLIED SCIENCES-BASEL, vol. 15, no. 6, pp. 3139–
Süleyman Sefa Bilgilioğlu, Cemil Gezgin, Muzaffer Can Iban, Hacer Bilgilioğlu, Halil Ibrahim Gündüz,...
Spatiotemporal Agricultural Drought Assessment and Mapping Its Vulnerability in a Semi-Arid Region Exhibiting Aridification Trends
Agriculture, vol. 15, no. 19, pp. 2060–
Fatemeh Ghasempour, Sevim Seda Yamaç, Aliihsan Şekertekin, Muzaffer Can İban, Şenol Hakan Kutoğlu
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
REMOTE SENSING, vol. 16, no. 15, pp. 2842–
Muzaffer Can İban, Oktay Aksu
Remote Sensing-Enabled Urban Growth Simulation Overlaid with AHP-GIS-Based Urban Land Suitability for Potential Development in Mersin Metropolitan Area, Türkiye
APPLIED SCIENCES-BASEL, vol. 14, no. 8, pp. 3484–
Ezgi Şahin, Muzaffer Can İban, Süleyman Sefa Bilgilioğlu
Next-level vegetation health index forecasting: A ConvLSTM study using MODIS Time Series
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, vol. 31, no. , pp. 18932–18948
Serkan Kartal, Muzaffer Can İban, Aliihsan Şekertekin
DEEP LEARNING-BASED SCENE CLASSIFICATION OF VERY HIGH-RESOLUTION SATELLITE IMAGERY FOR POST-EARTHQUAKE DAMAGE ASSESSMENT: A CASE STUDY OF THE 2023 KAHRAMANMARAS EARTHQUAKES
8TH INTERNATIONAL CONFERENCE ON GEOINFORMATION ADVANCES, GEOADVANCES 2024, VOL. 48-4, vol. XLVIII-4/W9-2024, no. , pp. 249–256
Doğu İlmak, Muzaffer Can İban, Dursun Zafer Şeker
Long-term ion hydration process and lithosphere-atmosphere coupling following the 2021 Fagradalsfjall volcanic eruption using remotely sensed data
ADVANCES IN SPACE RESEARCH, vol. 71, no. 8, pp. 3122–3139
Erman Şentürk, Muhammad Arqım Adıl, Mustafa Toker, Muzaffer Can İban, Özer Akyürek
Identifying the source types of the seismic events using discriminant functions and tree-based machine learning algorithms at Soma Region, Turkey
ENVIRONMENTAL EARTH SCIENCES, vol. 82, no. 11, pp. 265–
Evrim Yavuz, Muzaffer Can İban, Ercan Arpaz
Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with SHapley Additive exPlanations
NATURAL HAZARDS, vol. 116, no. 3, pp. 2957–2991
Halit Enes Aydın, Muzaffer Can İban
PSI Spatially Constrained Clustering: The Sibari and Metaponto Coastal Plains
REMOTE SENSING, vol. 15, no. 10, pp. 2560–
Nicola Amoroso, Roberto Cilli, Davide Oscar Nitti, Raffaele Nutricato, Muzaffer Can İban, Tommaso Ma...
The green divide and heat exposure: urban transformation projects in istanbul
FRONTIERS IN ENVIRONMENTAL SCIENCE, vol. 11, no. , pp. –
Mahir Yazar, İrem Daloğlu Çetinkaya, Muzaffer Can İban, Süleyman Sefa Bilgilioğlu
Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, vol. 37, no. 6, pp. 2243–2270
Muzaffer Can İban, Süleyman Sefa Bilgilioğlu
An explainable model for the mass appraisal of residences: The application of tree-based Machine Learning algorithms and interpretation of value determinants
HABITAT INTERNATIONAL, vol. 128, no. , pp. 102660–
Muzaffer Can İban
Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey
ECOLOGICAL INFORMATICS, vol. 69, no. , pp. 101647–
Muzaffer Can İban, Aliihsan Şekertekin
Machine learning-based snow depth retrieval using GNSS signal-to-noise ratio data
GPS SOLUTIONS, vol. 26, no. 4, pp. 117–
Cemali Altuntaş, Muzaffer Can İban, Erman Şentürk, Utkan Mustafa Durdağ, Nursu Tunalıoğlu Öcalan
Monitoring land use and land cover change near a nuclear power plant construction site: Akkuyu case, Turkey
ENVIRONMENTAL MONITORING AND ASSESSMENT, vol. 194, no. 10, pp. 724–
Muzaffer Can İban, Ezgi Şahin
Machine learning regression models for prediction of multiple ionospheric parameters
ADVANCES IN SPACE RESEARCH, vol. 69, no. 3, pp. 1319–1334
Muzaffer Can İban, Erman Şentürk
A model for big spatial rural data infrastructure in Turkey: Sensor-driven and integrative approach
Land Use Policy, vol. 91, no. , pp. 104376–
Muzaffer Can İban, Oktay Aksu
Geospatial Data Science Response to COVID-19 Crisis and Pandemic Isolation Tracking
Turkish Journal of Geosciences, vol. 1, no. 1, pp. 1–7
Muzaffer Can İban
Lessons from approaches to informal housing and non-compliant development in Turkey: An in-depth policy analysis with a historical framework
LAND USE POLICY, vol. 99, no. , pp. 105104–
Muzaffer Can İban
Considerations on the land management system approach in Turkey by the experiences of a case study
Survey Review, vol. 51, no. 364, pp. 87–96
Oktay Aksu, Muzaffer Can İban
NDVI ve LST Faktörlerinin Kentsel Alanlarda Gayrimenkul Değeri Üzerindeki Etkisinin Araştırılması: Ankara, İstanbul, İzmir ve Mersin Örneği
Turkish Journal of Remote Sensing and GIS, vol. 5, no. 2, pp. 158–171
Selin Uyar, Muzaffer Can İban
Yayla Alanlarında Yapılaşmanın İncelenmesi: Bolu Atyaylası Örneği
KSÜ Mühendislik Bilimleri Dergisi, vol. 25, no. 3, pp. 249–258
Muzaffer Can İban, Muhammed Eren Kılıç
Monitoring burn severity and air pollutants in wildfire events using remote sensing data: the case of Mersin wildfires in summer 2021
Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 12, no. 2, pp. 487–497
Muzaffer Can İban, Ezgi Şahin
İyonosfer Parametrelerinin Çok Katmanlı Algılayıcılar ile Kestirimi
El-Cezeri Fen ve Mühendislik Dergisi, vol. 8, no. 3, pp. 1480–1494
Muzaffer Can İban, Erman Şentürk
Türkiye Kırsal Arazi Kullanımına Yönelik Bir Konumsal Veri Altyapısının Modellenmesi
Geomatik, vol. 5, no. 3, pp. 209–227
Muzaffer Can İban
Türkiye’de Arazi Kullanımı ve Ekonomik Kalkınma
Türkiye Arazi Yönetimi Dergisi, vol. 1, no. 1, pp. 24–32
Muzaffer Can İban