| Comparison of different interpolation methods for spatial distribution of soil organic carbon and some soil properties in the Black Sea backward region of Turkey C Göl, S Bulut, F Bolat Journal of African Earth Sciences 134, 85-91, 2017 | 42 | 2017 |
| Analysing land cover changes for understanding of forest dynamics using temporal forest management plans Aİ Kadioğullari, MA Sayin, DA Çelįk, S Borucu, B Çįl, S Bulut Environmental monitoring and assessment 186, 2089-2110, 2014 | 26 | 2014 |
| Machine learning prediction of above-ground biomass in pure Calabrian pine (Pinus brutia ten.) stands of the Mediterranean region, Türkiye S Bulut Ecological Informatics, 101951, 2023 | 17 | 2023 |
| Arazi kullanım sınıfları için farklı kontrollü sınıflandırma algoritmalarının karşılaştırılması S Bulut, A Günlü Kastamonu University Journal of Forestry Faculty 16 (2), 528-535, 2016 | 12 | 2016 |
| Regression kriging to improve basal area and growing stock volume estimation based on remotely sensed data, terrain indices and forest inventory of black pine forests F Bolat, S Bulut, A Günlü, İ Ercanlı, M Şenyurt New Zealand Journal of Forestry Science 50, 2020 | 9 | 2020 |
| Artificial neural network models for predicting relationships between diameter at breast height and stump diameter: Crimean pine stands at ÇAKÜ Forest M Şenyurt, İ Ercanlı, A Günlü, F Bolat, S Bulut Bosque 41 (1), 25-34, 2020 | 9 | 2020 |
| The effects of land cover changes on forest carbon storage in 40 years: a case study in Turkey U Karahalil, EZ Başkent, S Bulut International Journal of Global Warming 14 (2), 207-223, 2018 | 9 | 2018 |
| Evaluating statistical and combine method to predict stand above-ground biomass using remotely sensed data S Bulut, F Sivrikaya, A Günlü Arabian Journal of Geosciences 15 (9), 838, 2022 | 8 | 2022 |
| Determination of total carbon storage using Sentinel-2 and Geographic Information Systems in mixed forests S Bulut, A Günlü Anadolu Orman Araştırmaları Dergisi 5 (2), 127-135, 2019 | 8 | 2019 |
| Estimation of forest development stage and crown closure using different classification methods and satellite images: a case study from Turkey. S Bulut, A Günlü, S Keleș | 8 | 2019 |
| Estimation of some stand parameters using Göktürk-2 satellite image S Bulut, A Günlü, S Keleş Proceedings of the 1st International Symposium of Forest Engineering and …, 2016 | 8 | 2016 |
| Comparison of different supervised classification algorithms for land use classes. S Bulut, A Günlü | 8 | 2016 |
| Modelling some stand parameters using Landsat 8 OLI and Sentinel-2 satellite images by machine learning techniques: a case study in Türkiye S Bulut, A Günlü, G Çakır Geocarto International 38 (1), 1-19, 2023 | 7 | 2023 |
| Evaluating different spatial interpolation methods and modeling techniques for estimating spatial forest site index in pure beech forests: a case study from Turkey A Günlü, S Bulut, S Keleş, İ Ercanlı Environmental Monitoring and Assessment 192, 1-11, 2020 | 6 | 2020 |
| Estimating net primary productivity of semi-arid Crimean pine stands using biogeochemical modelling, remote sensing, and machine learning S Bulut, A Günlü, O Şatır Ecological Informatics 76, 102137, 2023 | 5 | 2023 |
| Determining The Interactions of Black Pine Net Primary Productivity and Forest Stand Parameters In Northern Turkey S Bulut, O Satir, A Günlü Applied Ecology and Environmental Research 17 (2), 4459-4473, 2019 | 5 | 2019 |
| Aynıyaşlı ve değişikyaşlı orman formlarının orman ekosistem fonksiyonları kapsamında karşılaştırılması. II S Keleş, S Bulut Ulusal Akdeniz Orman ve Çevre Sempozyumu, 136-146, 2014 | 4 | 2014 |
| SPOT-4 uydu görüntüsü yardımıyla bazı meşcere parametreleri (gelişim çağı ve kapalılık) ve arazi kullanım sınıflarının belirlenmesi; Devrez Planlama Birimi Örneği HC ANLAR, A GÜNLÜ, S KELEŞ, S BULUT Anadolu Orman Araştırmaları Dergisi 1 (1-2), 33-40, 2015 | 3 | 2015 |
| Evaluating kernel functions of support vector machines for supervised classification of land use classes S Bulut The 5th Intercontinental Geoinformation Days, 2022 | 1 | 2022 |
| Evaluation of different supervised classification algorithms for crown closure classes: A case study of YapraklıForest Planning Unit, Çankırı S Bulut, A Günlü, S Keleş International Symposium on New Horizons in Forestry, 2017 | 1 | 2017 |
