Referanslar

• Aalen, O. O. (1989). A linear regression model for the analysis of life times. Statistics in medicine, 8(8), 907925. google scholar
• Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., Hegewisch, K. C. (2018). TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015. Scientific data, 5(1), 1-12. google scholar
• Aguilar, A. (2005). Remote sensing of forest regeneration in highland tropical forests. GIScience & remote sensing, 42(1), 66-79. google scholar
• Akça, Ş. (2023). Hava Lidar Verisi Üzerinde K-Ortalamalar ve Bulanık C-Ortalama ile Bina Çıkarımı. Türkiye Lidar Dergisi, 5(2), 45-51. google scholar
• Akosman, E. N., Makineci, H. B. Sentinel-2A Verileriyle Trabzon İli 2019-2020 Yılları Arasında Ortaya Çıkan Sınıflandırma Farklarının Çeşitli Algoritmalarla Değerlendirilmesi. Türkiye Uzaktan Algılama Dergisi, 5(2), 78-88. google scholar
• Aliyazıcıoğlu, Ş., Öztürk, K. F., Günen, M. A. (2023). Analysis of Gümüşhane-Trabzon highway slope static and dynamic behavior using point cloud data. Advanced Lidar, 3(2), 70-75. google scholar
• Avdan, U., Kucuk Matci, D., Kaplan, G., Yigit Avdan, Z., Erdem, F., Demirtas, I. Mızık, E.T. . (2021). Evaluating the Atmospheric Correction Impact on Landsat 8 and Sentinel-2 Data for Soil Salinity Determination. Geodetski list, 75(3), 255-240. google scholar
• Basara, A. C., Tabar, M. E., Gulsun, S., Sisman, Y. (2022). Monitoring urban sprawl in Atakum district using CORINE data. Advanced Geomatics, 2(2), 4956. google scholar
• Başaran, N., MATCI, D. K., Avdan, U. (2022). Using multiple linear regression to analyze changes in forest area: the case study of Akdeniz Region. International Journal of Engineering and Geosciences, 7(3), 247263. google scholar
• Cai, W., Yang, J., Liu, Z., Hu, Y., Weisberg, P. J. (2013). Post-fire tree recruitment of a boreal larch forest in Northeast China. Forest Ecology and Management, 307, 20-29. google scholar
• Capolupo, A., Monterisi, C., Tarantino, E. (2020). Landsat Images Classification Algorithm (LICA) to automatically extract land cover information in Google Earth Engine environment. Remote Sensing, 12(7), 1201. google scholar
• Chu, T., Guo, X., Takeda, K. (2016). Remote sensing approach to detect post-fire vegetation regrowth in Siberian boreal larch forest. Ecological Indicators, 62, 32-46. google scholar
• Çömert, R., Matcı, D. K., Emir, H., Avdan, U. (2017). Nesne Tabanlı Sınıflandırma ile Yanmış Orman Alanlarının Tespiti. Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi, 17(4), 27-34. google scholar
• Çömert, R., Matci Küçük, D., Avdan, U. (2019). Object Based Burned Area Mapping With Random Forest Algorithm. International Journal ofEngineering and Geosciences, 4(2), 78-87. google scholar
• Diaz-Delgado, R., Lloret, F., Pons, X. (2003). Influence of fire severity on plant regeneration by means of remote sensing imagery. International Journal of Remote Sensing, 24(8), 1751-1763. google scholar
• Digavinti, J., Manikiam, B. (2021). Satellite monitoring of forest fire impact and regeneration using NDVI and LST. Journal of Applied Remote Sensing, 15(4), 042412-042412. google scholar
• Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., . . . Hoell, A. (2015). The climate hazards infrared precipitation with stations— a new environmental record for monitoring extremes. Scientific data, 2(1), 1-21. google scholar
• Gilbert, K. M., Shi, Y. (2023). Land use/land cover change detection and prediction for sustainable urban land management in Kigali City, Rwanda. Advanced Land Management, 3(2), 62-75. google scholar
• Gilbert, K. M., Shi, Y. (2024). Using GlobeLand30 data and cellular automata modeling to predict urban expansion and sprawl in Kigali City. Advanced Remote Sensing, 4(1), 46-57. google scholar
• Güngör, R., Yilmaz, O. S., Sanli, F. B., Ates, A. M. (2022). Investigation of spatial change in Lake Surface with Google Earth Engine: Example of Marmara Lake. Advanced Remote Sensing, 2(1), 8-15. google scholar
• Johnstone, J. F., Rupp, T. S., Olson, M., Verbyla, D. (2011). Modeling impacts of fire severity on successional trajectories and future fire behavior in Alaskan boreal forests. Landscape Ecology, 26, 487500. google scholar
• Kazemi Garajeh, M., Haji, F., Tohidfar, M., Sadeqi, A., Ahmadi, R., Kariminejad, N. (2024). Spatiotemporal monitoring of climate change impacts on water resources using an integrated approach of remote sensing and Google Earth Engine. Scientific reports, 14(1), 5469. google scholar
• Keeley, J. E., Pausas, J. G. (2022). Evolutionary ecology of fire. Annual Review of Ecology, Evolution, and Systematics, 53, 203-225. google scholar
• Kucuk Matci, D. (2022). Monitoring and estimating spatial-temporary land use changes of the Aegean region with remotely sensed data. Environmental Science and Pollution Research, 1-10. google scholar
• KumlucaBelediyesi. (2019). COĞRAFYA. google scholar
• Kuplich, T. M. (2006). Classifying regenerating forest stages in Amazonia using remotely sensed images and a neural network. Forest Ecology and Management, 234(1-3), 1-9. google scholar
• Lemesios, I., Petropoulos, G. P. (2024). Vegetation regeneration dynamics of a natural mediterranean ecosystem following a wildfire exploiting the LANDSAT archive, google earth engine and geospatial analysis techniques. Remote Sensing Applications: Society and Environment, 34, 101153. google scholar
• Lopes, L. F., Dias, F. S., Fernandes, P. M., Acacio, V. (2024). A remote sensing assessment of oak forest recovery after postfire restoration. European Journal of Forest Research, 143(3), 1001-1014. google scholar
• Maki neci, H. B., Arıkan, D. (2024). Seyfe lake seasonal drought analysis for the winter and summer periods between 2017 and 2022. Remote Sensing Applications: Society and Environment, 34, 101172. google scholar
• Mallinis, G., Mitsopoulos, I., Chrysafi, I. (2018). Evaluating and comparing Sentinel 2A and Landsat-8 Operational Land Imager (OLI) spectral indices for estimating fire severity in a Mediterranean pine ecosystem of Greece. GIScience & remote sensing, 55(1), 1-18. google scholar
• Matarira, D., Mutanga, O., Naidu, M. (2022). Google Earth Engine for Informal Settlement Mapping: A Random Forest Classification Using Spectral and Textural Information. Remote Sensing, 14(20), 5130. google scholar
• Matci, D. K., Avdan, U. (2020). Comparative analysis of unsupervised classification methods for mapping burned forest areas. Arabian Journal of Geosciences, 13(15), 1-13. google scholar
• Munoz Sabater, J. (2019). ERA5-Land monthly averaged data from 1981 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS)[data set]. In. google scholar
• Mutanga, O., Kumar, L. (2019). Google earth engine applications. In: Multidisciplinary Digital Publishing Institute. google scholar
• Ocer, N. E., Kaplan, G., Erdem, F., Kucuk Matci, D., Avdan, U. (2020). Tree extraction from multi-scale UAV images using Mask R-CNN with FPN. Remote Sensing Letters, 11(9), 847-856. google scholar
• OGM. (2017). Orman İstatistikleri. In: Yayin. google scholar
• Petrie, M., Wildeman, A., Bradford, J. B., Hubbard, R., Lauenroth, W. (2016). A review of precipitation and temperature control on seedling emergence and establishment for ponderosa and lodgepole pine forest regeneration. Forest Ecology and Management, 361, 328-338. google scholar
• Polat, N., Memduhoğlu, A., Akça, Ş. (2022). Determining the change in burnt forest areas with UAV: The example of Osmanbey campus. Advanced UAV, 2(1), 11-16. google scholar
• Rasul, A. O., Hameed, H. M., Ibrahim, G. R. F. (2021). Dramatically increase of built-up area in Iraq during the last four decades. Advanced Remote Sensing, 1(1), 1-9. google scholar
• Roy, D. P., Boschetti, L., Trigg, S. N. (2006). Remote sensing of fire severity: assessing the performance of the normalized burn ratio. IEEE Geoscience and Remote Sensing Letters, 3(1), 112-116. google scholar
• Shafiq, M., Mahmood, S. (2022). Spatial assessment of forest cover change in Azad Kashmir, Pakistan. Advanced GIS, 2(2), 62-69. google scholar
• Şimşek, F. F. (2024). Optik ve radar görüntüleri ile aşiri gradyan artirma algoritmasi kullanilarak tarimsal ürün desen tespiti. Geomatik, 9(1), 54-68. google scholar
• Stankova, N., Avetisyan, D. (2024). Postfire Forest Regrowth Algorithm Using Tasseled-Cap-Retrieved Indices. Remote Sensing, 16(3), 597. google scholar
• Tucker, C. J. (1978). Red and photographic infrared linear combinations for monitoring vegetation. google scholar
• USGS. (2015). Landsat 8 band designations. google scholar
• Yalçin, M., Boz, İ. (2007). Kumluca İlçesinde Seralarda Üreticilerin Kullandiklari Bilgi Kaynaklari. Bahçe, 36(1), 1-10. google scholar
• Yiğit, A. Y., Uysal, M. (2020). Automatic road detection from orthophoto images. Mersin Photogrammetry Journal, 2(1), 10-17. google scholar

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