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With the development of satellite techniques, satellite images and image classification algorithms are used more frequently to determine LULC (Land Use and Land Cover). The main purpose of this study is to perform the classification process with object-based and pixel-based image classification methods in the Yedigöze Reservoir area and to compare the general accuracies of the classification techniques. In this study, Sentinel -2B satellite image of Yedigöze Reservoir taken on June 24, 2023 was used. First, the image was classified by pixelbased classification using SVM (Support Vector Machines), ANN (Artificial Neural Networks) and MLC (Maximum Likelihood Classification) method. Then, the image was classified by object-based classification using the KNN (K-Nearest Neighbor) method. Using these algorithms, four classes were determined: water area, agricultural area, forest area and residential area. Overall accuracies were calculated as 92.92% for the SVM method, 92.42% for the ANN method, 86.71% for the MLC method and 93.18% for the KNN method. As a result of the study, it has been determined that all methods provide high accuracy and the object-based KNN method provides higher accuracy than other classification methods. [ABSTRACT FROM AUTHOR]

Copyright of Anadolu Tarım Bilimleri Dergisi is the property of Ondokuz Mayis Universitesi, Ziraat Fakultesi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkish Journal of Geographical Sciences / Coğrafi Bilimler Dergisi is the property of Cografi Bilimler Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The spatio-temporal changes (1984-2020) in land use in the Gölbaşı Basin were investigated in this study. In this context, field studies and interviews were conducted, and the data used in the study were obtained from institutions and internet websites. Changes in land use were assessed through supervised classification of Landsat 5, 7 and 8 data using ArcGIS 10.3.1 and ENVI 5.2 software. Of the total population of 42.686 individuals in the basin, 79.6% reside in the district center. The primary economic activities are agriculture and livestock with agricultural areas being the largest land class. The natural environment has been significantly affected by this land use. Changes have occurred in land use and agricultural product patterns in the field. Among these, human areas have increased the most (6 km2) over 36 years. Conversely, there has been a decrease in agricultural areas, and peatlands in the area. Agricultural areas have decreased by approximately 8,5 km2. Considering the rates of change, the greatest reduction has been observed in bare (%32) and peatland (%29) areas. It is expected that the study will contribute to agricultural product planning and basin management for relevant institutions.

As a country located in the Mediterranean climate zone, hundreds of forest fires occur every year in Türkiye and these fires cause many damages. Preventing forest fires is as important as reducing fire damage in reducing this damage. Therefore, areas susceptible to forest fire should be identified before a possible fire, both for early fire detection and early intervention and for reducing destruction. In this context, this study was carried out to determine the damage caused by the forest fire that occurred in Aydıncık district of Mersin in July 2021 and to identify fire-sensitive areas. In the first part of the study, NDVI (Normalized Difference Vegetation Index), NBR (Normalized Burn Ratio) and dNBR (Differenced Normalized Burn Ratio) indices were calculated using Landsat 8 OLI/TIRS satellite images to determine the difference between before and after the fire with Remote Sensing (RS) techniques. In the second part of the study, forest fire susceptibility areas were identified, and a Geographic Information Systems (GIS) supported forest fire susceptibility map of Aydıncık district was created. According to the NDVI index, it was determined that bare land and settlements increased from 13.43% in 2020 to 23.02% in 2021, and there was a decrease in areas with different forest densities. According to the dNBR index results, it was determined that 27.67% (12,153.83 ha) was moderately-highly damaged by fire and there were losses in areas with different plant densities. In addition, according to the forest fire susceptibility analysis, it was determined that the area showed 7.82% very low, 22.46% low, 28.65% medium, 28.56% high and 12.50% very high susceptibility.

Copyright of Turkish Journal of Remote Sensing & GIS / Türk Uzaktan Algılama ve CBS Dergisi is the property of Halil Akinci and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geomatik is the property of Murat Yakar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geomatik is the property of Murat Yakar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geomatik is the property of Murat Yakar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Natural Hazards & Environment (JNHE) / Doğal Afetler ve Çevre Dergisi (DACD) is the property of Artvin Coruh University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ege Journal of Fisheries & Aquatic Sciences (EgeJFAS) / Su Ürünleri Dergisi is the property of Ege Journal of Fisheries & Aquatic Sciences (EgeJFAS) / Su Urunleri Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkish Journal of Geographic Information Systems / Türkiye Coğrafi Bilgi Sistemleri Dergisi is the property of Mersin University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The aim of the study is to determine the temporal change of land use and land cover in Tekkeköy district, located in the east of Samsun province and is to explain the reasons for this change. The recent rapid increase in the population of Tekkeköy district and the concentration of industrial activities in the district have caused serious changes on the land. Landsat satellite images from 1990, 1999, 2005, 2010 and 2017 were used in the study. ENVI 5.3v program was used for classification. Four classes were identified in the district: agriculture, pasture, forest and artificial areas. At the same time, the normalized vegetation index distribution for these years was also presented and its change from past to present was determined. While agricultural areas constituted 54.3% of the total area in 1990, they decreased to 52.4% in 1999, 48.4% in 2005, 46.6% in 2010 and 45.4% in 2017, while non-agricultural areas, especially settlements and organized industrial areas located on the plain, increased from 3.5% in 1990 to 10.6% in 2017. For the vegetation index, the amount of area covered by very poor vegetation increased proportionally by 2000% between 1990 and 2017, while there were decreases of approximately 26.6%, 9.3% and 14.3% in the dense, medium and poor classes, respectively. This intense pressure on land should be prevented by proper planning of land use. [ABSTRACT FROM AUTHOR]

Copyright of lnternational Journal of Geography & Geography Education is the property of Marmara University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of lnternational Journal of Geography & Geography Education is the property of Marmara University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The main objective of the current study is to generate a flood hazard map by using the machine learning algorithms hybridized with the geographic information systems (GIS). In this regard, the province of Istanbul, which is the metropolitan city of Turkey, was selected as the focal region within the scope of the study. The class imbalance was tackled through the commonly used random under sampling (RUS) technique in order to create a fair comparison datum line. It is worth mentioning that this is the first time this approach has been used for flood hazard mapping studies in Turkey. Random forest (RF), stochastic gradient boosting (SGB), and XGBoost algorithms were used. The best predictive performance was obtained with the XGBoost algorithm, followed by SGB and RF, respectively. The RF and SGB models showed a 90.67% success rate in determining the inundation points, while the XGBoost model outperformed its counterparts with a 92.00% success rate in determining the inundation points. In this research, the importance levels of the flood triggering variables were further investigated in order to enliven the comprehensibility of the obtained results. Thus, the most important variable was the precipitation, followed by the distance to the drainage network and the number of curves, respectively. Finally, it is suggested that flood vulnerability mapping attempts can be considered as promising approaches against increasing flood incidents over the years.

Yellow rust disease in wheat is one of the major fungal pressures threatening food security as a result of global outbreaks. In this work, spectral reflection values were employed to monitor the disease (Caused by; Puccinia striiformis f. sp. tritici) and indicate reaction variations in wheat over distinct phenological phases. The spectrum reflection values obtained as a consequence of the assessments done in the genotypes with and without the disease were apportioned within the scope of the study, and the development of the stress in different band gaps was tracked by reading the graphs created. As research plant material in the study carried out in the 2018-2019 growing season; Bayraktar 2000, Demir 2000, Eser and Kenanbey bread varieties and Çeşit-1252, Eminbey, Kızıltan 91 and Mirzabey 2000 durum varieties were used. All of the test material was sown by hand in 3 replications in rows 33-35 cm apart and 1 m long in October. Using essential mineral oil (Soltrol 170®), the newly collected disease spores were inoculated into the test material at doses of 0%, 25%, 50%, and 100%. Evaluations of disease's reactions were made using the Modified Cobb scale between 25 May and 06, 15 and 23 June, and infection coefficients were derived using these results. As a result of the investigation, reflection curves for various phenological periods were constructed, accounting for reflection rates based on assessments of genotypes with and without illness. It was discovered that throughout the same developmental period, the spectral reflectance values of the disease-inoculated genotypes increased in the visible region and reduced in the near infrared area. The most effective disease dose to utilize in assessing the disease reaction was determined to be 50% for bread types and 25% for durum varieties. With effort, it was demonstrated that it was able to numerically analyses the correlations with the disease reaction through dynamic changes in the spectrum reflections of the canopy at various growth stages of wheat. Variations in these regions at various band ranges are assumed to be related to the extent of the pigments in mesophyll tissues as a result of the ageing process of leaves. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Journal of Remote Sensing & GIS / Türk Uzaktan Algılama ve CBS Dergisi is the property of Halil Akinci and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkish Journal of Remote Sensing & GIS / Türk Uzaktan Algılama ve CBS Dergisi is the property of Halil Akinci and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkish Journal of Remote Sensing & GIS / Türk Uzaktan Algılama ve CBS Dergisi is the property of Halil Akinci and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geomatik is the property of Murat Yakar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geomatik is the property of Murat Yakar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Studies on drought, which can have quite complex and devastating effects due to a number of interrelated factors, are developing continuously in order to eliminate the consequences of such a natural disaster and even further to facilitate actions for taking timely measures. This study, which is carried out in this holistic framework, is based upon the temporal and spatial assessment of drought phenomenon on the Google Earth Engine (GEE) platform through the use of remotely-sensed data. For this purpose, Temperature Condition Index (TCI), Vegetation Condition Index (VCI) and Vegetation Health Index (VHI) were calculated both for the recent period (2018-2021) and the previous periods (the years 2002, 2005, 2010 and 2015) examined through July and January months and the agricultural drought situation was revealed in this way. [ABSTRACT FROM AUTHOR]

Copyright of Mustafa Kemal University Journal of Agricultural Sciences / Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi is the property of Mustafa Kemal University, Faculty of Agriculture and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Natural Hazards & Environment (JNHE) / Doğal Afetler ve Çevre Dergisi (DACD) is the property of Artvin Coruh University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Geçmişten günümüze insanoğlunun artan talepleri neticesinde doğal ortam koşulları ile olan etkileşim ve bu ortamlar üzerindeki antropojenik baskı farklı boyutlara ulaşmıştır. Antropojenik kökenli meydana gelen bu baskılar jeomorfolojik süreç ve birimlerde değişimlere yol açabilmektedir. Belirtilen kapsamda bu çalışmada Marmara Adası’ndaki mermer ocaklarından kaynaklı değişimler antropojenik jeomorfoloji yaklaşımı ile analiz edilmiştir. Çalışmada 1975–2020 yılları arası beşer yıllık periyotlar halinde ve 2022 yılına ait uydu görüntülerinden mermer ocaklarındaki değişimin zamansal ve alansal boyutları tespit edilmiştir. Daha sonra 1985 ve 2022 yılları uydu görüntülerine Normalleştirilmiş Bitki Fark İndeksi, Normalleştirilmiş Yapay Alan Farkı İndeksi, Normalleştirilmiş Geçirimsiz Yüzey İndeksi analizleri yapılarak antropojenik değişimin boyutu saptanmıştır. 2022 yılı uydu görüntüsü üzerinden ise adanın yer yüzeyi sıcaklığı tespit edilmiştir. Elde edilen bütün bulgular korelasyona tabi tutulmuş ve tekrar analiz edilerek değişim verileri nokta bulutuna dönüştürülmüştür. Daha sonra bu veriler düzenlenmiş, IDW yöntemi ile enterpole edilerek Marmara Adası’nın antropojenik kaynaklı rölyef değişim modeli oluşturulmuştur. Marmara Adası’nın kuzeyinde son 47 yılda 2,5 artışla doğu-batı yönünde genişleyen mermer ocakları sahasında topoğrafya ortalama 4,3 metre değiştirilmiştir. En yüksek değişim boyutunun 32 metreye ulaştığı mermer ocakları sahasında yer yüzeyi sıcaklığının adadaki diğer arazi kullanım sahalarına göre 1,2°C artış gösterdiği tespit edilmiştir.

Bu çalışmada ulusal öneme haiz sulak alanlar kapsamında tescillenen Yeşilırmak Deltası’nın yaklaşık 18,5 km’lik kıyı bölümünde gerçekleşen erozyon uzaktan algılama ve Coğrafi Bilgi Sistemleri (CBS) yardımıyla araştırılmıştır. 1985–2022 periyodunda gerçekleşen kıyı çizgisi değişimlerinin belirlenmesi ve erozyonun derecesinin anlaşılabilmesi için 1985, 1990, 1996, 2001, 2006, 2011, 2017 ve 2022 yıllarına ait Landsat-5 TM/Landsat-8 OLI uydu görüntüleri kullanılmıştır. Uydu görüntülerinden kıyı çizgilerinin belirlenmesinde normalize fark su indeksi (NDWI) ve modifiye normalize fark su indeksi (MNDWI) entegre edilmiştir. Yıllık kıyı çizgisi değişim oranları 1985–2022 periyodunda sekiz farklı yıla ait kıyı çizgilerinden doğrusal regresyon oranı (LRR) yöntemiyle %95 güven düzeyinde hesaplanmış, Yeşilırmak Nehri’nin batı kesimindeki Bölge-1’de maksimum -25,8 m/yıl, doğu kesimindeki Bölge-2’de maksimum - 7,7 m/yıl’a ulaşan erozyon oranı belirlenmiştir. Kıyı çizgisi değişimleri sınıflandırıldığında deltanın %34’ü yüksek, %9’u orta, %18’i düşük derecede olmak üzere %61’inde erozyon gerçekleştiği anlaşılmıştır. 1985– 2022 periyodunda erozyonla kaybedilen alanlar çakıştırma analizi ile belirlenmiş, Bölge-1’de 179,23 ha ve Bölge-2’de 82,22 ha olmak üzere toplam 261,45 ha alanın erozyon ile kaybedildiği görülmüştür. Analiz sonuçları, Yeşilırmak Deltası kıyılarındaki erozyon, birikim ve stabil alanların belirlenerek kıyı dinamiklerinin ve erozyon tehlikesinin daha iyi anlaşılmasına katkı sağlamış ve kıyı çizgisi değişimlerinin belirlenmesinde Landsat görüntüleri ve LRR yönteminin etkinliğini ortaya çıkarmıştır

In urban space, green-blue infrastructure plays an important role in regulating local temperatures against the heating effect of areas without vegetation. These areas, which shape the spatial distribution of temperature in urban space, are called urban cold islands. This study aims to develop a method for investigating the factors affecting the spatial distribution of land surface temperature (LST). A method has been proposed for extracting the boundary of urban cold islands by using remote sensing and spatial statistics methods. Cooling extend was determined as a measure in analyzing cooling capacity of urban environment. According to scope of the study, the relationship between both of size of urban cool island and cooling intensity, and cooling extend was measured, then, discussed the impact on local climate conditions. The findings showed that size of urban cool island was more effective than the intensity in explaining cooling extend. As a result, the research approach and the findings will insight for mitigation of urban heat island effect in the context of sustainable urban planning and management.

Access to clean water is becoming increasingly difficult as a result of global climate change, industrialization, fast population expansion, and other factors. To safeguard fresh waters, natural lakes such as wetlands are protected, and storage water structures are erected on streams. The most important aspect influencing the life of storage water structures is the determination of the sediment entering the water reservoir. This material builds in the dam reservoir, reducing the amount of usable water and rendering essential elements such as the bottom weir or water intake structure inoperable. The spatial distribution and temporal variation of TSS were investigated in this study by using the parameters of Total Suspended Sediment (TSS), which were produced by creating a model between satellite data and terrestrial data, and Sentinel-2 satellite data from Seyhan Dam Lake, which is located in the south of Turkey, within the provincial borders of Adana. The maximum TSS concentration was determined to be 25.01 mg/L on 26.03.2020, with the lowest value being 17.65 mg/L on 23.01.2021. The TSS characteristics will be more precisely determined by samples from additional places at previously known satellite transit times, as a foundation for a system to be created for remote sensing-based TSS monitoring in the Seyhan Dam Lake. TSS values for the whole lake surface will be determined in this manner rather than TSS values for specific spots. [ABSTRACT FROM AUTHOR]

As a result of the increasing demands of human beings from the past to the present, the interaction with the natural environment conditions and the anthropogenic pressure on these environments have reached different dimensions. These pressures of anthropogenic origin can also lead to changes in geomorphological conditions and elements. In this study, the changes originating from the marble quarries in Marmara Island were analyzed with the anthropogenic geomorphology approach. In the study, the temporal and spatial dimensions of the change in marble quarries were determined in five-year periods between 1975 and 2020 and from satellite images of 2022. Then, the extent of anthropogenic change was determined by analyzing the Normalized Vegetation Difference Index, Normalized Artificial Area Difference Index, and Normalized Impervious Surface Index on the satellite images between 1985 and 2022. The ground surface temperature of the island was determined from the 2022 satellite image. All the data obtained were correlated and reanalyzed, and the change data were converted into point cloud data. Then, these data were interpolated with the modified IDW method, and the anthropogenic-sourced relief change model of Marmara Island was created. In the area of marble quarries, which have expanded in the east-west direction with an increase of 2.5 in the last 47 years in the north of Marmara Island, the topography has changed by an average of 4.3 meters. It has been determined that the ground surface temperature in the marble quarries area, where the highest change size reaches 32 meters, increased by 1.2°C compared to other sections. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Journal of Remote Sensing / Türkiye Uzaktan Algılama Dergisi is the property of Turkish Journal of Remote Sensing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkish Journal of Land Management / Türkiye Arazi Yönetimi Dergisi is the property of Mersin University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geomatik is the property of Murat Yakar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geomatik is the property of Murat Yakar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electronic Turkish Studies is the property of Electronic Turkish Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkish Journal of Geographical Sciences / Coğrafi Bilimler Dergisi is the property of Cografi Bilimler Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Impervious surfaces are increasing rapidly and causing many environmental and ecological problems because of rapid urbanization. It is important to monitor impervious surfaces through effective methods, such as remote sensing. In this study, impervious surface areas were extracted from the Sentinel-2 satellite image (July 7, 2022) in Samsun-Atakum district using UI, NDBI, IBI, CBCI, and NISI indices in the GIS environment and the indices performances were compared using the spectral discrimination index and error matrix approach. NISI was the most accurate index with a spectral discrimination index of 1.3605, an overall accuracy of 89.20%, and a kappa value of 0.7850. According to NISI, the impervious surface areas were over 40% in 5 of the 30 neighborhoods and between 30–40% in 2 neighborhoods. The results showed that Sentinel-2 satellite images have considerable potential in the extraction of impervious surfaces, and the success of impervious surface extraction can be increased by using the optimum index determined by comparing different indices.

The collection, evaluation, analysis and presentation of location and spatial data, which is the field of study of the Survey Engineering profession, is at work in the military as well as in many other fields. It is known that wars and operations cannot be considered independent of space. In this context, it is possible to take the space and location data beyond just being a battlefield and use it as a data that will guide the course of the war. One of the fields of supply and usage of spatial data is intelligence. Within the scope of this article, the place of intelligence in general history, its meaning in different languages, the methodology of intelligence are explained, then the definition and concepts of geospatial intelligence, which is the spatial perception aspect of technical intelligence, are explained. Finally, geospatial intelligence, data collection and analysis tools; geographic information systems (GIS) and remote sensing technologies (RST) are explained. Some suggestions have been presented in order to increase the usability of geospatial intelligence in the fields of military operations in our country, which deals with the spatial dimension of intelligence. [ABSTRACT FROM AUTHOR]

This study investigated erosion along the approximately 18.5 km coastal section of the Yeşilırmak Delta, a nationally important wetland, using remote sensing and Geographic Information Systems (GIS). Landsat-5 TM/Landsat-8 OLI satellite images from 1985 to 2022 (1985, 1990, 1996, 2001, 2006, 2011, 2017, and 2022) were used to determine shoreline changes. The shoreline determination process involved the combination of the normalized difference water index (NDWI) and the modified normalized difference water index (MNDWI). Annual rates of shoreline change were calculated using the linear regression rate (LRR) method within a 95% confidence level. Results showed a maximum erosion rate of -25.8 m/year in Zone-1, located in the western part of the Yeşilırmak River, and -7.7 m/year in Zone-2, situated in the eastern part. Erosion affected 61% of the delta, with 34% experiencing high-level erosion, 9% medium-level erosion, and 18% low-level erosion. Overlay analysis identified a total loss of 261.45 ha during 1985-2022, with 179.23 ha in Zone-1 and 82.22 ha in Zone-2. These findings enhance understanding of coastal dynamics by delineating erosion, accretion, and stable areas in the Yeşilırmak Delta. Furthermore, the study highlights the effectiveness of Landsat images and the LRR method in assessing shoreline changes. [ABSTRACT FROM AUTHOR]

Copyright of Geomatik is the property of Murat Yakar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Selcuk University Social Sciences Institute / Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi is the property of Journal of Selcuk University Social Sciences Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Selcuk University Social Sciences Institute Journal is the property of Selcuk University Social Sciences Institute Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of TUBA-KED: Turkish Academy of Sciences, Journal of Cultural Inventory is the property of Turkish Academy of Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The mass movement towards stream beds and their accumulation there may cause flood events as a result of landslide events. In this study, Devrek Landslide, which occurred in 2015, was investigated by using a remote sensing technique. The Çomaklar stream is located at the lower elevations of this landslide region. Çomaklar stream and surrounding settlements are at risk of flooding due to the probability of preventing the water flow in the stream because of the effects of the landslide. Devrek district is located in Zonguldak in the northern part of Turkey. LANDSAT-8 satellite images between the dates 27 January 2015 and 22 July 2015 were used to investigate the location and size of the Devrek district landslide. Satellite-derived remote sensing data have been widely used in recent years to monitor changes on the earth's surface and to provide information. In this study, the Spectral Angle Difference method was used to compare the images before and after the landslide event. A change detection analysis was conducted between pre-landslide and post-landslide images to investigate the area affected by the disaster. As a result, the landslide was determined as 1050 meters in length and 110 meters in width, and the landslide area was calculated as 10.87 ha.

In this study, the urban green space distribution was determined, and the city's compliance with the European Green Deal was evaluated. Firstly, Landsat 8 satellite images were radiometrically corrected with the Quantum GIS software. Then, NDVI was produced using the Red-Green-Blue and Near-Infrared bands of the processed data obtained. Finally, the NDVI image with a value between -1 and +1 was reclassified to define urban open green spaces. The classification data showed that open green areas have a nonhomogeneous distribution throughout the city, and the amount of green space per capita is approximately 200 m². According to the classification results of Northern Nicosia, a surface area of 475 km², the amount of green space is calculated as 16m², constituting 2.97%. Thus, it has been concluded that open green regions are denser in certain parts of the city than others and do not have a homogeneous distribution that can serve the whole town.

In this study, the forest fire that occurred in Manavgat district of Antalya on 28 July 2021 and lasted for 15 days was analysed by remote sensing techniques using Landsat 8 satellite images. Satellite images of the study area dated July 2021 before the forest fire and August 2021 after the forest fire were obtained. Burnt areas were identified using data’s such as Normalized Burned Ratio (NBR) and Normalized Vegetation Index (NDVI) indices and Difference Normalized Burned Ratio (DNBR) and Difference Normalized Vegetation Index obtained by using the differences of these indices. The maximum similarity algorithm of pixel-based controlled classification was also applied to the data set. The area destroyed by burning after the forest fire was tried to be calculated with these two indexes. It was investigated whether the results of three different methods were compatible and consistent with the results of the General Directorate of Forestry. Although there are differences between the results, it was determined that the selected method and the materials used were suitable for such studies.

This is study is based with the support of RS-GIS technology on the land use of Samsun Center, as well as the coastal districts of Ilkadım,Atakum,Bafra Plain, through the processing and interpretation of satellite images in the summer months of 2000,2010,2020. Spatial and temporal variability properties of LU/LC were determined using MLC algorithm, controlled classification approach. The predictive values of the LU/LC change that will occur in 2030, calculated with the MLP‑ANN model based on Machine Learning algorithms and mapped with the QGIS 3.16 program. To determine the accuracy coefficient of the model, 2020 LU/LC simulation performed using the transition potential matrix of 2000 and 2010 LU/LC data. The results of simulation were compared the data of land use land cover with the 2020 to evaluate the accuracy of the simulation model. The model of MLP‑ANN provided an accuracy of 72% based on the kappa fit index. According to MLP‑ANN model 2030 results were an increase of 73.33 km² in built up areas, an increase of 56.89 km² in bare areas, and a decrease of 129.66 km² in green areas. It provided a reference basis for future Samsun urban to rural coastline LU planning and management and LU structure optimization.

Copyright of Turkey Lidar Journal / Türkiye Lidar Dergisi is the property of Mersin University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Turkey Lidar Journal / Türkiye Lidar Dergisi is the property of Mersin University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)