Yazar "Polat, Ahmet Batuhan" seçeneğine göre listele

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    Açık Maden Ocağının Fotogrametrik Yöntem ile Geometrik ve Spektral Analizi: Bigadiç Bor Maden İşletmesi Örneği
    (2022) Can, Furkan; Polat, Ahmet Batuhan; Akçay, Özgün
    Bu çalışmada, maden ocağında mevcut olan farklı katmanlar, yakın resim fotogrametrisi tekniği ile tespit edilmiş ve bu katmanların yoğunlukları hesaplanmıştır. Fotoğraf çekimi için sırasıyla RGB, multispektral ve termal bant özelliklerine sahip üç farklı kamera kullanılmıştır. Daha sonra üç boyutlu nokta bulutları, modeller ve ortofotolar oluşturulmuştur. Üç ortofotodan elde edilen yedi adet bant ile farklı indeks uygulamaları ve temel bileşen analizi (TBA) gerçekleştirilmiştir. TBA ile elde edilen ortofoto ile beraber toplam dört ortofoto görüntüsünde, madende yer alan farklı birimlerin tespiti için kontrolsüz sınıflandırma, termal ortofoto hariç üç ortofotoda ise kontrollü sınıflandırma işlemi gerçekleştirilmiş ve doğrulukları test edilmiştir. Yapılan kontrolsüz ve kontrollü sınıflandırma işlemlerinde en iyi doğruluk sırasıyla %60 ve %80 oranları ile TBA ile elde edilen ortofoto kullanılarak hesaplanmıştır. Ayrıca, kullanılan indekslerin zeolitik tüf tespitinde %86.67, bor tespitinde ise %80 doğruluk oluşması,tespit için kontrollü sınıflandırmaya göre daha iyi bir seçenek olduğu anlaşılmıştır. Kazı çalışmalarının yapıldığı iki bölgede hacim hesabı için RGB kamera ile çekimler gerçekleştirilmiştir. Hafriyat hakedişi için hesabın hacim üzerinden belirlenmesinin daha doğru olduğu sonucuna ulaşılmıştır.
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    Öğe
    AUTOMATIC EXTRACTION OF SURFACE DYNAMICS USING GOOGLE EARTH ENGINE FOR UNDERSTANDING DROUGHT PHENOMENON
    (Copernicus Gesellschaft Mbh, 2023) Polat, Ahmet Batuhan; Akçay, Özgün
    Atmospheric drought due to meteorological events occurring out of seasonal norms, and consequent droughts in agriculture and wetlands cause great damage to the ecological balance. The initial effects of this situation appear on a local scale, while the aftereffects, which last for years, appear on a global scale. Monitoring and detecting drought with remote sensing technologies can contribute to the management of water resources and forest areas and enable many measures to be taken to reduce the effects of drought. Within the scope of this study, a system that automatically performs the extraction of different drought parameters depending on years has been developed. Isikli Lake was selected as the study area and the change of water areas over the years has been extracted from satellite images. With the system developed on the Google Earth Engine platform, different parameters were analyzed over a 13-year period and their consistency was tested. As a result, it is seen that the water areas in the lake decreased by 30% between 2010 and 2022. Likewise, the systematic decrease in the parameters, especially in 2015 and afterward, indicates the drought in the region. With the proposed automatic system, it is thought that early precautions can be taken for drought scenarios that may occur in larger-scale regions.
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    Öğe
    Çanakkale İlinin Kentsel Alan Değişiminin SLEUTH Model ile Analizi
    (Afyon Kocatepe Üniversitesi, 2024) Polat, Ahmet Batuhan; Akçay, Özgün
    Kentsel alanların değişiminin tahmin edilmesi, kent planlaması ve yönetimi için kritik öneme sahiptir. Bu sebeple SLEUTH gibi uzamsal modelleme tahmin araçları bu alanda sıklıkla kullanılmaktadır. Özellikle hızlı gelişen kentlerden biri olan Çanakkale’nin güncel bir kentsel yayılma analizi uzamsal açıdan ele alınmadığı görülmektedir. Bu çalışmada Çanakkale ilinin 2025,2030,2035 ve 2040 yılları için kentsel alanların gelişimi incelenmiştir. Veri seti olarak eğim haritası, arazi örtüsü haritaları, gelişimden hariç tutulacak alanlar, kentsel alan, yol ulaşım ağı ve kabartma haritası kullanılmıştır. Modelin test aşaması gerçekleştirildikten sonra kalibrasyon aşamasında en uygun kentsel büyüme katsayılarını belirlemek amacıyla sırasıyla kaba, hassas ve final kalibrasyon işlemi gerçekleştirilmiştir. Yapılan kalibrasyon sonucu SLEUTH modelde kullanılacak olan kentsel büyüme katsayılarından difüzyon, cins, yayılma, eğim ve yol ağırlığı katsayı değerleri sırasıyla 75, 25, 46, 76, 75 olarak belirlenmiştir. Yapılan kentsel alan gelişim simülasyonları sonucunda 2019 yılından 2040 yılına kadar geçen 21 yıllık sürede kentsel alanlarda toplam %43lük bir artış beklenirken tarım/çıplak toprak alanlarında ise yaklaşık %23lük bir düşüş olacağı öngörülmüştür. Ayrıca oluşturulan senaryoyu doğrulamak için 2023 yılı referans arazi örtüsü verisi, SLEUTH model sonucu oluşturulan 2023 yılı tahmini kentsel gelişim haritası karşılaştırılmış ve %7 fark görülmüştür. Bu sonuçlar kentsel yayılımın olduğu bölgelerde altyapı çalışmalarına ve çevre düzenlemelerine ön hazırlık ve planlama yapılması açısından önem taşımaktadır.
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    Drought monitoring in Burdur Lake, Turkey using multi-sensor remote sensing data sets
    (Polska Akad Nauk, Polish Acad Sciences, 2024) Polat, Ahmet Batuhan; Akçay, Özgün; Kontaş, Fazlı
    Water levels in freshwater resources have been descending daily as global temperatures have risen and a coastal recession has occurred. The losses in these water basins have a significant influence on natural life. While drought is a global environmental issue, its consequences may be seen in Turkey. This study looks at the loss of water areas in Burdur Lake, one of Turkey's major lakes, between 2010 and 2021. The areas were identified using supervised classification, and the classification process was carried out for 2010, 2013, 2016, 2019, and 2021, respectively. Furthermore, several drought detection metrics, such as land Vegetation Index (EVI), Palmer Drought Severity Index (PDSI), and precipitation amounts, have been evaluated for the study area between 2010 and 2021. The values of all drought detection indicators were also evaluated monthly for each year of the study. The analysis reveals abnormalities in all parameters, particularly in recent years, when compared to earlier years. Water areas decreased by 36.48% as a result of the classifications, whereas sandy areas increased by 89.85%. Again, the average values of various parameters used for drought detection over the years were compared. As a result, the indicator parameters gave reliable results as well as a means of monitoring the drought.
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    Öğe
    Spatiotemporal drought analysis and future risk assessment using multi-index remote sensing approach and hybrid trend-based prediction modeling
    (Springer, 2026) Polat, Ahmet Batuhan; Alumert, Egehan; Akcay, Ozgun
    This study presents a comprehensive spatiotemporal drought assessment for & Ccedil;anakkale province, T & uuml;rkiye, utilizing multi-index remote sensing approaches over a 20-year period (2005-2024) coupled with predictive risk modeling for 2025-2027. Four key environmental parameters were derived through the Google Earth Engine platform: Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), Standardized Precipitation Index (SPI), and Soil Moisture Condition Index (SMCI). Multiple satellite data sources were integrated, including Landsat 7 ETM + , MODIS/MOD11A1, CHIRPS precipitation dataset, and TerraClimate hydrological data. The retrospective analysis revealed significant climatic variability characterized by inter-annual LST fluctuations, progressive NDVI enhancement toward 2024, and pronounced negative trends in both SPI and SMCI indices during recent years. Particularly, SMCI reached - 1.14 in 2023, indicating severe soil moisture deficit. Spatial heterogeneity was evident across the province, with differential vegetation dynamics and precipitation patterns between coastal and interior regions. A Principal Component Analysis-based integrated drought index was developed, explaining 68.7% of total variance, providing comprehensive drought characterization beyond univariate approaches. A hybrid trend-based forecasting framework incorporating seasonal decomposition, climatological constraints, and stochastic variability was implemented. Model validation demonstrated robust performance for LST (R2 = 0.85) and NDVI (R2 = 0.88), while SPI and SMCI exhibited challenges inherent to normalized indices with small-magnitude variations. Prospective projections indicate systematic elevation in composite drought risk from 2.58 (2025) to 2.67 (2026-2027), representing a 3.5% increase and persistent moderate-to-high drought vulnerability. These findings provide critical insights for regional water resource management, agricultural planning, and climate adaptation strategies in Mediterranean ecosystems facing intensifying drought pressures.
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    The relationship between mucilage covered areas and chlorophyll-a concentration: The sea of Marmara case
    (Yildiz Technical Univ, 2022) Polat, Ahmet Batuhan; Sanli, Fusun Balik; Akcay, Ozgun
    Today, mucilage, or as it is known by the people, sea saliva, which directly affects the natural life and trade opportunities of the Marmara Sea, has more and more serious consequences day by day. The rapid detection of the spreading areas of the mucilage is of great importance for the cleaning works to be carried out. Remote sensing satellites have the great advantage of detecting the mucilage layer on the sea surface and studying its propagation. It has an important place in monitoring the change in that region over time and associating it with other ecological analysis, especially thanks to the ability to take images from the same region with frequent repetitions. Within the scope of this study, the mucilage distribution areas on the sea surface in the Dardanelles Strait, Gemlik Bay and Izmit Bay were investigated temporally and the concentration of chlorophyll-a, which is the main component organic matter of phytoplankton, and it is also the main cause of mucilage in the sea, was investigated and associated with mucilage areas. The satellite images used in the study were obtained from the Sentinel-2 multispectral optical satellite and the areas were determined by interpreting the images before and after mucilage propagation. Normalized Water Index (NDWI), a band index, was used to determine the mucilage area. As a result of the analysis, the mucilage rates in the sea were determined from the images on the dates used in the study. These rates were found as approximately 2.03% in the Dardanelles Strait, approximately 6.80% and 3.52% in the Gulf of Gemlik, where satellite images were examined at 10-day intervals, and approximately 7.44% in the Gulf of Izmit. When we look at the increase in the chlorophyll-a concentration in the sea for the same regions and dates, it is detected as about 0.84% in the Dardanelles Strait, 272.64% and 84.06% in the Gulf of Gemlik, and 8.22% in the Gulf of Izmit. When we look at the results, it is understood that the chlorophyll-a concentration and the spread of the mucilage layer are related to each other. In the light of these results, it is expected that using remote sensing techniques can be easily used for detecting mucilage, which is formed on the sea surface and spreads over large areas, and be a preliminary analysis study for rapid interventions.