Şevki Danacıoğlu profile image
Şevki Danacıoğlu Asst. Prof. Dr. İzmir Bakırçay Üniversitesi, İnsan ve Toplum Bilimleri Fakültesi
Publication 5 Review 14 CrossRef Cited 1 TR Dizin Cited 7
5 Publication
14 Review
1 CrossRef Cited
7 TR Dizin Cited
0000-0003-1118-352X

Research Fields

Geospatial Information Systems and Geospatial Data Modelling Geographic Information Systems Remote Sensing

Institution

İzmir Bakırçay Üniversitesi, İnsan ve Toplum Bilimleri Fakültesi

Popular Publications

Evaluation of Different Machine Learning Algorithms for Land Cover Mapping: A Case Study of Izmir Province
Authors: Şevki Danacıoğlu
Published: 2023 , Turkish Geographical Review
DOI: 10.17211/tcd.1296893
CITED 1 FAVORITE 1 TOTAL DOWNLOAD COUNT 660

1

1

660

Spatio-temporal analysis of relationship between artificial light pollution and bird observations in Turkey: a geostatistical approach
Authors: Hüseyin Can Öngül , Şevki Danacıoğlu
Published: 2024 , International Journal of Geography and Geography Education
DOI: 10.32003/igge.1430386
CITED 0 FAVORITE 1 TOTAL DOWNLOAD COUNT 554

0

1

554

Publications

Identification of Potential Seagrass Areas in the Mediterranean Basin Using Geospatial Artificial Intelligence (GeoAI) Techniques
Authors: Şevki Danacıoğlu , Selim Mirsat Gül , Berkay Ballı
Published: 2025 , Sosyal Aktörler ve Deneyimler Dergisi
DOI: -
FAVORITE 0 TOTAL DOWNLOAD COUNT 31

0

31

Flood risk analysis in the Tahtalı Dam Basin using the fuzzy logic method
Authors: Şevki Danacıoğlu , Merve Nur Öz
Published: 2025 , Journal of Anatolian Geography
DOI: -
FAVORITE 0 TOTAL DOWNLOAD COUNT 94

0

94

Spatio-temporal analysis of relationship between artificial light pollution and bird observations in Turkey: a geostatistical approach
Authors: Hüseyin Can Öngül , Şevki Danacıoğlu
Published: 2024 , International Journal of Geography and Geography Education
DOI: 10.32003/igge.1430386
FAVORITE 1 TOTAL DOWNLOAD COUNT 554

1

554

Evaluation of Different Machine Learning Algorithms for Land Cover Mapping: A Case Study of Izmir Province
Authors: Şevki Danacıoğlu
Published: 2023 , Turkish Geographical Review
DOI: 10.17211/tcd.1296893
FAVORITE 1 TOTAL DOWNLOAD COUNT 660

1

660

Assessing Industrial Development Influence on Land Use and Land Cover Change Detection in Güzelhisar Basin with Cloud-Based Machine Learning Techniques
Authors: Şevki Danacıoğlu , Hüseyin Can Öngül
Published: 2023 , Ege Coğrafya Dergisi
DOI: 10.51800/ecd.1224255
FAVORITE 0 TOTAL DOWNLOAD COUNT 589

0

589

Articles published in
Ege Coğrafya Dergisi
Ege Coğrafya Dergisi
International Journal of Geography and Geography Education
International Journal of Geography and Geography Education
Journal of Anatolian Geography
Journal of Anatolian Geography
Sosyal Aktörler ve Deneyimler Dergisi
Sosyal Aktörler ve Deneyimler Dergisi
Turkish Geographical Review
Turkish Geographical Review

Reviews

Afet ve Risk Dergisi
Afet ve Risk Dergisi
Bulletin For Earth Sciences
Bulletin For Earth Sciences
Coğrafi Bilimler Dergisi
Coğrafi Bilimler Dergisi
Ege Coğrafya Dergisi
Ege Coğrafya Dergisi
Erzincan University Journal of Graduate School of Social Sciences
Erzincan University Journal of Graduate School of Social Sciences
International Journal of Environment and Geoinformatics
International Journal of Environment and Geoinformatics
International Journal of Geography and Geography Education
International Journal of Geography and Geography Education
Journal of Anatolian Geography
Journal of Anatolian Geography
Journal of Natural Hazards and Environment
Journal of Natural Hazards and Environment
Sosyal Aktörler ve Deneyimler Dergisi
Sosyal Aktörler ve Deneyimler Dergisi
Turkish Geographical Review
Turkish Geographical Review

Publications

Evaluation of Different Machine Learning Algorithms for Land Cover Mapping: A Case Study of Izmir Province
Authors: Şevki Danacıoğlu
Published: 2023 , Turkish Geographical Review
DOI: 10.17211/tcd.1296893
CITED 1 FAVORITE 1 TOTAL DOWNLOAD COUNT 660

1

1

660

Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods.
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