Spatial and Temporal Change Monitoring in Water Surface Area of Atikhisar Reservoir (Çanakkale, Turkey) by using Remote Sensing and Geographic Information System Techniques

Kale, Semih; Acarlı, Deniz

doi:10.28955/alinterizbd.574361

Cited by 14 publications

(10 citation statements)

References 48 publications

(46 reference statements)

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“…Topography, hydrology, elevation, climate, vegetation, soil structure, slope, exposure of the study area have been created using the ArcGIS 10.0 software (Mert and Kıraç, 2017). The ArcGIS software allows for obtaining the data for digitizing the relevant modules (Aricak, 2015;Kale and Acarlı, 2019).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Optimal Area Usage in Kastamonu City Center in terms of Landscape Planning

Öztürk¹

2020

alinteri

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Nowadays, natural and cultural resources are being rapidly depleted. However, protection approaches that can be effective against this situation are not exhibited. Existing resources are at risk of extinction with to use incorrect of space. In order to be able to make the right resource use and planning decisions, it is necessary to determine the optimal area uses considering the ecological basis. The study was conducted at the border urban area of Kastamonu province. Natural and cultural resource values have been examined to determine area uses. In the first phase, the literature search is completed. Then field inventory studies were carried out. In the second phase; numerical suitability maps have been established for three different field types of agriculture, forest, settlement areas. Geographic Information Systems program, that ArcGIS 10.0 software, was used as a tool. Finally, the optimal fitness of the digitized areas has been determined. Potential resource values of Kastamonu city center, due to incorrect use of areas and lack of planning, was determined not adequately assessed. To prevent incorrect use of space; local governments are required to make area utilization decisions in a short time. Making the environmentally sensitive planning studies, to provide tourism within the protection-utilization balance of resources and it has been found that the promotion of the promotion is very economically important. It has been determined that there is misuse in the study where ecological conformities of existing natural and cultural resources are tested. It has been determined that resource values for these areas have deteriorated due to misuse. The reason behind all this is unconscious urbanization. It has been determined that sustainable resource use will not be possible due to this pressure.

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Section: Methodsmentioning

confidence: 99%

Evaluation of Optimal Area Usage in Kastamonu City Center in terms of Landscape Planning

Öztürk¹

2020

alinteri

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“…Authors also pointed out that high water levels increased the recruitment. Some of other applications of GIS in reservoir fisheries are classifying and mapping of suitable habitats and potential fishing grounds; monitoring water quality, pollution, fish movement and migration, water level fluctuations; mapping fish distribution and water parameters and change detection and monitoring in shorelines [20][21][22][23][24][25][26][27][28][29].…”

Section: Potential Application Of Gis In Reservoir Fisheriesmentioning

confidence: 99%

Untitled

2018

IJOAC

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Geographic Information Systems (GIS) is a computer based system for capturing, storing, checking, integrating, manipulating, analysing and displaying spatial data on the Earth. Reservoirs are man-made ecosystem established by impounding water of river for storing and supplying water, irrigation, generation of hydroelectric power, flood control, and fish production. Fisheries in reservoirs might be affected by productivity, prey/predator abundance, or physical features of water and habitat However, modelling of these relationships could be difficult due to the dynamic natures of aquatic ecosystems.GIS is an important tool for analysing these multidimensional spatial patterns and evaluating the impacts on reservoir fisheries. Some of other applications of GIS in reservoir fisheries are classifying and mapping of suitable habitats and potential fishing grounds; monitoring water quality, pollution, fish movement, water level fluctuations; mapping fish distribution and water parameters; and change detection and monitoring in shorelines. GIS assists fisheries managers and decision-makers to elucidate the issues and makes solutions possible by considering numerous spatial components. There is an unlimited potential to use GIS in applications for fisheries management in reservoirs. GIS makes significant contributions to ensure the sustainability of fish stocks and sustainable use of water resources in reservoirs. GIS has great potential for modelling fish distribution, abundance, habitat, estimating future capacity, and evaluation of the useful life of reservoirs. This potential could be improved by increasing the opportunities of education, experience and access on available GIS technology and data among fisheries scientists.

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“…The shoreline detection methodology can be divided into two approaches, namely the spatial and the spectral approaches. The spatial method is based on the use of a single spectral band for setting a threshold value which is consistent with potential morphological operations, segmentation and vectorization of optical or SAR (Synthetic Aperture Radar) images [14][15][16][17]. The spectral method is based on the use of the spectral dimension of pixels to organize them into classes through various procedures, such as the procedure of unsupervised classification [18], the Normalized Difference Vegetation Index, referred to as NDVI [7] or the Modified Normalized Difference Water Index, noted as MNDWI [19].…”

Section: Introductionmentioning

confidence: 99%

Shoreline Extraction from WorldView2 Satellite Data in the Presence of Foam Pixels Using Multispectral Classification Method

Minghelli

Spagnoli

Lei³

et al. 2020

Remote Sensing

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Foam is often present in satellite images of coastal areas and can lead to serious errors in the detection of shorelines especially when processing high spatial resolution images (<20 m). This study focuses on shoreline extraction and shoreline evolution using high spatial resolution satellite images in the presence of foam. A multispectral supervised classification technique is selected, namely the Support Vector Machine (SVM) and applied with three classes which are land, foam and water. The merging of water and foam classes followed by a segmentation procedure enables the separation of land and ocean pixels. The performance of the method is evaluated using a validation dataset acquired on two study areas (south and north of the bay of Sendaï—Japan). On each site, WorldView-2 multispectral images (eight bands, 2 m resolution) were acquired before and after the Fukushima tsunami generated by the Tohoku earthquake in 2011. The consideration of the foam class enables the false negative error to be reduced by a factor of three. The SVM method is also compared with four other classification methods, namely Euclidian Distance, Spectral Angle Mapper, Maximum Likelihood, and Neuronal Network. The SVM method appears to be the most efficient to determine the erosion and the accretion resulting from the tsunami, which are societal issues for littoral management purposes.

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Spatial and Temporal Change Monitoring in Water Surface Area of Atikhisar Reservoir (Çanakkale, Turkey) by using Remote Sensing and Geographic Information System Techniques

Cited by 14 publications

References 48 publications

Evaluation of Optimal Area Usage in Kastamonu City Center in terms of Landscape Planning

Evaluation of Optimal Area Usage in Kastamonu City Center in terms of Landscape Planning

Untitled

Shoreline Extraction from WorldView2 Satellite Data in the Presence of Foam Pixels Using Multispectral Classification Method

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