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Ayhan Ateşoğlu

Other affiliations: Yahoo!
Bio: Ayhan Ateşoğlu is an academic researcher from Bartın University. The author has contributed to research in topics: Satellite imagery & Land use. The author has an hindex of 5, co-authored 12 publications receiving 260 citations. Previous affiliations of Ayhan Ateşoğlu include Yahoo!.

Papers
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Journal ArticleDOI
12 May 2017-Science
TL;DR: An estimate of global forest extent in dryland biomes is reported, based on analyzing more than 210,000 0.5-hectare sample plots through a photo-interpretation approach using large databases of satellite imagery at very high spatial resolution and very high temporal resolution, available through the Google Earth platform.
Abstract: Dryland biomes cover two-fifths of Earth’s land surface, but their forest area is poorly known. Here, we report an estimate of global forest extent in dryland biomes, based on analyzing more than 210,000 0.5-hectare sample plots through a photo-interpretation approach using large databases of satellite imagery at (i) very high spatial resolution and (ii) very high temporal resolution, which are available through the Google Earth platform. We show that in 2015, 1327 million hectares of drylands had more than 10% tree-cover, and 1079 million hectares comprised forest. Our estimate is 40 to 47% higher than previous estimates, corresponding to 467 million hectares of forest that have never been reported before. This increases current estimates of global forest cover by at least 9%.

302 citations

Journal ArticleDOI
TL;DR: The area covered by forests in Bartin province of Turkey decreased significantly and that the amount of the reduction corresponded mainly to increased agricultural land use, which was growth in the region's population, and expansion of agricultural areas and settlements.
Abstract: This study analyzed the changes in the forest areas in Bartin province of Turkey and the surrounding areas using remote sensing data and GIS techniques Three Landsat Thematic Mapper (TM) images of the study region, recorded in 1987, 1992, and 2000, were utilized The main land-use characteristics were derived using a maximum-likelihood classification technique The remotely sensed data allows monitoring of current land use/land cover and detection of temporal changes Furthermore, a temporal and spatial comparison of the classified image can be performed using Geographical Information System (GIS) to show land-use changes GIS analysis of the classification results based on reference datasets revealed that the area covered by forests decreased significantly and that the amount of the reduction corresponded mainly to increased agricultural land use The reasons for this negative impact on forested areas were growth in the region’s population, and expansion of agricultural areas and settlements The classification results also showed that past, afforestation work had been successful Keywords : Land use/land cover, remote sensing, GIS, deforestation, Bartin province, Turkey African Journal of Biotechnology Vol 9(35), pp 5676-5685, 30 August, 2010

7 citations

Proceedings ArticleDOI
14 Jun 2007
TL;DR: In this study, city center of Bartin, in which there is a rich amount of green areas and its vicinity was chosen as the test area, and Urban vegetation class was formed by determining the suitable functions for the objects which will be involved in the urban vegetation class.
Abstract: Urban vegetation plays an important role for sustainable development policies, environmental conservation and urban planning process of a city. It is necessary to detect the amount of green areas and their distribution to form the ecosystem model of the urban environment. It is quite important to use satellite imagery having different ground sampling distance (GSD) in the economic and accurate detection of urban green areas. Especially object-based image analysis has been frequently used today for object extraction processes. In object-oriented image analysis, not only pixel gray values but also spectral and contextual data that help to distinguish the segments consisting of interrelated pixels on the image are used. For this reason, more positive results are obtained in comparison with pixel-based approaches. In this study, city center of Bartin, in which there is a rich amount of green areas and its vicinity was chosen as the test area. As the satellite image data, LANDSAT 7 ETM+ (28.5 m GSD), SPOT 4 Level 2 A (20 m GSD) and IKONOS (1 m GSD) were used. Test area was divided into segments involving lots of different classes on each image. Urban vegetation class was formed by determining the suitable functions for the objects which will be involved in the urban vegetation class. eCognition v4.06 software was used for object-based classification analysis. Classification results were transformed into vector data and visual and digital analyses were made using GIS.

6 citations

Journal ArticleDOI
31 Mar 2008-Ekoloji
TL;DR: In this article, a part of Western Black Sea coastal highway located between Bartin and Amasra was investigated, and it was determined that landslides occurred in roadsides having high slopes not only endanger the traffic safety, but also damage the landscape aesthetic.
Abstract: In this study a part of Western Black Sea coastal highway located between Bartin and Amasra was investigated. Landsat 5 TM satellite data of 1987 and 2000 was used for ecological and visual evaluation relating to highway and its close vicinity. PCI Geomatica V9.1 was made use of as the image processing software. Image enrichment was applied with the aim of identifying the terrain groups and increasing the interpretation capability of image. The data belonging to this section were analyzed in geographical information systems and the results were studied in terms of landscape planning. During highway construction, total of 22,03 ha area consisting primarily of beech stands and other species was damaged. 71% of the total road construction area was classified as high sloped. It was determined that landslides occurred in roadsides having high slopes not only endanger the traffic safety, but also damage the landscape aesthetic. The altitude, aspect and climate characteristics of the study area was investigated, and was determined that the current situation of the study area is appropriate for renovation of the vegetation damaged during the highway construction. For this reason, suggestions were presented to protect natural landscape in order that the study area and its vicinity have a close relation with the highway.

6 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a calismanin amaci, uzaktan algilama verileri yardimiyla cografi bilgi sistemlerini kullanarak potansiyel agaclandirma alanlarini tespit etmektir.
Abstract: Bu calismanin amaci, uzaktan algilama verileri yardimiyla cografi bilgi sistemlerini kullanarak potansiyel agaclandirma alanlarini tespit etmektir. Calismada, topografik, bitki ve arazi kullanim durumlari farkli olan Arit ve Esme-Gure orman isletme sefligi sinirlari secilmistir. Her iki alana ait Landsat TM uydu goruntu verilerine kontrollu siniflandirma metodu maksimum benzerlik algoritmasi uygulanmistir. Oncelikle potansiyel olan agaclandirma alanlarina iliskin kriterler belirlenerek uzaktan algilama yazili ile kontrollu siniflandirma metodu icin bu alanlardan kontrol alanlari secilmistir. Kontrollu siniflandirmaya iliskin her iki alan icin dogruluk degerlendirmeleri yapilmistir. 2032 ha toplam alani bulunan Arit Orman Isletme Sefligine iliskin genel dogruluk %81, 38447 ha Esme –Gure Orman Isletme Sefligine iliskin genel dogruluk % 89 oraninda gerceklesmistir. Bu calisma uzaktan algilama siniflandirma yontemleriyle potansiyel agaclandirma alanlarinin tespit edilebilirligini ispatlamistir.

5 citations


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Journal ArticleDOI
05 Jul 2019-Science
TL;DR: There is room for an extra 0.9 billion hectares of canopy cover, which could store 205 gigatonnes of carbon in areas that would naturally support woodlands and forests, which highlights global tree restoration as one of the most effective carbon drawdown solutions to date.
Abstract: The restoration of trees remains among the most effective strategies for climate change mitigation. We mapped the global potential tree coverage to show that 4.4 billion hectares of canopy cover could exist under the current climate. Excluding existing trees and agricultural and urban areas, we found that there is room for an extra 0.9 billion hectares of canopy cover, which could store 205 gigatonnes of carbon in areas that would naturally support woodlands and forests. This highlights global tree restoration as our most effective climate change solution to date. However, climate change will alter this potential tree coverage. We estimate that if we cannot deviate from the current trajectory, the global potential canopy cover may shrink by ~223 million hectares by 2050, with the vast majority of losses occurring in the tropics. Our results highlight the opportunity of climate change mitigation through global tree restoration but also the urgent need for action.

1,052 citations

Journal ArticleDOI
TL;DR: In this article, the authors synthesize current evidence regarding the influences of 13 common forest management practices on forest soil C stocks, and identify existing gaps in knowledge and suggest research to address the gaps.

277 citations

Journal ArticleDOI
TL;DR: In this article, the authors combined historical national forest cover maps (covering the period 1953-2000) with a recent global annual tree cover loss dataset (2001-2014) to look at six decades of deforestation and forest fragmentation in Madagascar.

242 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate the causes of deforestation in Indonesia, a country with one of the highest rates of primary natural forest loss in the tropics, annually between 2001 and 2016.
Abstract: We investigate the causes of deforestation in Indonesia, a country with one of the highest rates of primary natural forest loss in the tropics, annually between 2001 and 2016. We use high spatial resolution imagery made available on Google Earth to characterize the land cover types following a random selection of deforestation events, drawn from the Global Forest Change dataset. Notorious in the region, large-scale oil palm and timber plantations together contributed more than two-fifths of nationwide deforestation over our study period, with a peak in late aughts followed by a notable decline up to 2016. Conversion of forests to grasslands, which comprised an average of one-fifth of national deforestation, rose sharply in dominance in years following periods of considerable fire activity, particularly in 2016. Small-scale agriculture and small-scale plantations also contributed one-fifth of nationwide forest loss and were the dominant drivers of loss outside the major islands of Indonesia. Although relatively small contributors to total deforestation, logging roads were responsible for a declining share of deforestation, and mining activities were responsible for an increasing share, over the study period. Direct drivers of deforestation in Indonesia are thus spatially and temporally dynamic, suggesting the need for forest conservation policy responses tailored at the subnational level, and new methods for monitoring the causes of deforestation over time.

209 citations