Yazar "Coşkuner, Kadir Alperen" seçeneğine göre listele

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    Doğu Karadeniz orman yangınlarının uzun dönem meteorolojik parametrelerle değerlendirilmesi
    (Artvin Çoruh Üniversitesi, 2021) Coşkuner, Kadir Alperen
    This study examines the relationship between number of forest fires and burned areas, and meteorological parameters between 1987 and 2020 in the North Eastern Region of Turkey. A total of 1560 forest fires affecting 7340.7 ha forested lands within the border of Giresun, Trabzon and Artvin Regional Forest Directorate were analysed with historic mean annual temperature, relative humidity, wind speed, total annual rainfall and calculated Sweden Angstrom Index for a period of 1987-2020. Results indicated that total annual number of fires were positively correlated with mean annual temperature, and negatively correlated with mean annual relative humidity and total annual rainfall. No significant relationship was found between the total annual number of fires and the annual average wind speed. The lower Angstrom index values indicate high risk of fires and significant negative correlation was found between total annual number of fires and Angstrom index values. No significant relationship was found between the total annual burned area and annual average temperature, relative humidity, wind speed, and Angstrom Index values, however, a significant negative correlation was found with the total annual rainfall. The linear diminishing trend in the values of Angstrom Index and increasing trend in the number of fires from 1987 to 2020 in North Eastern Anatolia indicated that forest fires may become a major problem for forested lands in the North Eastern Region of Turkey in the future.
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    Estimating Mediterranean stand fuel characteristics using handheld mobile laser scanning technology
    (CSIRO, 2023) Coşkuner, Kadir Alperen; Vatandaşlar, Can; Öztürk, Murat; Harman, İsmet; Bilgili, Ertuğrul; Karahalil, Uzay; Berber, Tolga; Tunç Görmüs, Esra
    Background: Accurate, timely and easily obtainable information on stand fuel is of great importance in the prediction of fire behaviour. Aims: The objective of this study is to measure several stand fuel characteristics with handheld mobile laser scanning (HMLS) in six fuel types for Mediterranean region, and compare the results with traditional field fuel measurements (FFM) in 35 different sampling plots. Methods: The measurements involved overstorey (the number of trees, diameter at breast height, crown base height, tree height, maximum tree height, stand crown closure) and understorey (understorey closure, understorey height) fuel characteristics, and ground slope. Correlation analysis and t-test were performed to examine the relationship between FFM and HMLS datasets. In addition, cross-validation statistics (RMSE, rRMSE and R2) were employed to evaluate the accuracy of the HMLS method. Key results: The results indicated strong correlations among all fuel characteristics. However, overstorey fuel characteristics were more favourable (r-values between 0.804 and 0.996, P < 0.01) than understorey (r-values between 0.483 and 0.612, P < 0.01). There was no significant difference between FFM and HMLS datasets in all fuel characteristics (P > 0.05). Conclusions: The results indicated that the HMLS was practical, cost-effective, time-efficient and required less labour as compared to traditional FFM in plot-level (i.e. 0.1 ha) inventories.
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    Preliminary results of canopy fuel load estimation using mobile laser scanning in Turkish red pine stands
    (Springer Science and Business Media Deutschland GmbH, 2025) Coşkuner, Kadir Alperen; Vatandaşlar, Can; Özturk, Murat; Harman, İsmet; Karahalil, Uzay; Berber, Tolga; Görmüş, Esra Tunç; Bilgili, Ertugrul
    There is a growing interest in stand fuel inventories through the use of light detection and ranging (LiDAR) technology among fire researchers. In this study, canopy fuel load of Turkish red pine (Pinus brutia Ten.) stands was estimated based on point-cloud data collected from five sample plots using a mobile laser scanner (MLS). For this, stand fuel characteristics (i.e., dbh and number of trees) and fuel load models were used in combination. The estimation results were stand fuel characteristics were compared against the ground truth obtained through traditional field measurements. Preliminary results indicated that MLS was able to capture dbh and the number of trees information at the plot level. Thus, it is possible to estimate canopy fuel loads in Turkish red pine relying on species-specific models that utilize MLS data as input. Further research is needed for automating the point-cloud data analysis workflow and more accurate characterization of surface fuel in Mediterranean forests.