An analysis of changes in a multi-date data set: A case study in the Ikitelli area, Istanbul, Turkey

Sunar, Filiz

doi:10.1080/014311698216215

Cited by 53 publications

(37 citation statements)

References 3 publications

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“…Change detection by remote sensing involves the use of multidate datasets to discriminate changes in land use and land cover between dates of imaging (Sunar, 1998). It is a fact that the changes in land cover result in changes in pixel values of the remotely sensed element (Singh, 1989;Yuan et al, 1998;Mas, 1999).…”

Section: Change Analysismentioning

confidence: 99%

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Use of Satellite Imagery as Environmental Impact Assessment Tool: A case Study from the Nw Egyptian Red Sea Coastal Zone

Moufaddal

2005

Environ Monit Assess

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Knowledge and detecting impacts of human activities on the coastal ecosystem is an essential management requirement and also very important for future and proper planning of coastal areas. Moreover, documentation of these impacts can help in increasing public awareness about side effects of unsustainable practices. Analysis of multidate remote sensing data can be used as an effective tool in environmental impact assessment (EIA). Being synoptic and frequent in coverage, multidate data from Landsat and other satellites provide a reference record and bird's eye viewing to the environmental situation of the coastal ecosystem and the associated habitats. Furthermore, integration of satellite data with field observations and background information can help in decision if a certain activity has caused deterioration to a specific habitat or not. The present paper is an attempt to utilize remote sensing data for assessment impacts of some human activities on the major sensitive habitats of the NW Egyptian Red Sea coastal zone, definitely between Ras Gemsha and Safaga. Through multidate change analysis of Landsat data (TM & ETM+ sensors), it was possible to depict some of the human infringements in the area and to provide, in some cases, exclusive evidences for the damaging effect of some developmental activities.

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Section: Change Analysismentioning

confidence: 99%

“…Change detection using multidate satellite data involves preprocessing, classification and application of the change detection techniques (Sunar, 1998).…”

Section: Data Processing and Analysismentioning

confidence: 99%

Use of Satellite Imagery as Environmental Impact Assessment Tool: A case Study from the Nw Egyptian Red Sea Coastal Zone

Moufaddal

2005

Environ Monit Assess

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“…Different approaches can be used to elaborate and update existing LUC maps. Visual interpretation -often computer aided -has been widely used to elaborate LUC cartography (Afrasinei et al, 2017;Asner, Keller, Pereira, & Zweede, 2002;Gurgel, Farias, & Oliveira, 2017;Sunar, 1998), including cartography of large areas, such as Europe (Feranec, Hazeu, Christensen, & Jaffrain, 2007), Africa (Disperati & Virdis, 2015), China (Zhang et al, 2014), and India (Roy et al, 2015). Visual interpretation enables map producers to include many classification criteria, such as texture, shape, pattern, size, and proximity between objects, and the interpreter's knowledge about the study area (Lu et al, 2004;NRSC/ISRO, 2010).…”

Section: Introductionmentioning

confidence: 99%

Land use/land cover change detection combining automatic processing and visual interpretation

Mas

Lemoine-Rodríguez

González-López

et al. 2017

European Journal of Remote Sensing

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This article presents a hybrid classification method combining image segmentation, GIS analysis, and visual interpretation, and its application to elaborate a multi-date cartographic database with 23 land use/cover (LUC) classes using SPOT 5 imagery for the Mexican state of Michoacan (~60,000 km 2 ). First, the resolution of an existing 1:100,000 LUC map produced through visual interpretation of 2007 SPOT images was improved. 2007 SPOT images were segmented, and each segment received the "majority" LUC category from the 1:100,000 map. Segments were characterized from the images (spectral indices) and the map (LUC class). A multivariate trimming was applied to detect "uncertain" segments presenting discrepancy between their spectral response and the LUC class assigned from the map. For these uncertain segments, a category was determined by digital classification, but a definitive category was assigned through visual interpretation. Finally, accuracy of the resulting LUC map was assessed. The same procedure was applied to downgrade (2004) and to update (2014) the map. The implemented method enabled us to improve the scale of an existing 2007 LUC map and to detect land use/cover changes in previous (downgrading) and later (updating) dates with an overall accuracy of 83.3% ± 3.1%. ARTICLE HISTORY

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“…[20] and [21] show the linear growth of city along the proposed third bridge and draw attention to the northward growths and incursions into the surface water resources basins. [22] analyzes the land use changes for İkitelli area of Istanbul by evaluating remote sensing images obtained from Landsat TM (1984 and 1992). [23] study using the IKONOS XS+Pan (2002), they detect rapid spatial changes between the years 1984 and 1998, which are mainly the loss of agricultural lands for urban uses, due to migration and high natural population growth rate.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Land Use Change on Water Basin Using Remote Sensing and Geographical Information System

Geymen

2016

AUBTD-A

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The population in Istanbul has been increasing as a result of mass immigration. An urbanization process continues and it causes serious increases in urban areas while decreasing the amount of natural environment. This uncontrolled and illegal urbanization accompanied by insufficient infrastructure has caused degradation of cropland and forested areas in the metropolitan area, especially in water basin area. The watershed basins inside the metropolitan area have accelerated the land-cover changes, which have negative impacts on water quality of the basins. The Terkos water basin, one of the seven water basins of Istanbul providing drinking water, was selected as a study area. In order to understand the effect of the land use change of the water basin in Istanbul Metropolitan Area, we used the three Landsat satellite images of the years 1995, 2005 and 2010. The study mainly focuses on the acquisition and analysis of Landsat TM satellite images reflecting the significant land-cover changes between the years of 1995 and 2010. The findings show that the settlement areas emerged mainly on the protection zones of the Terkos basin and created serious environmental problems. The land use change will effect precipitation change on direct surface runoff in water basin.

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An analysis of changes in a multi-date data set: A case study in the Ikitelli area, Istanbul, Turkey

Cited by 53 publications

References 3 publications

Use of Satellite Imagery as Environmental Impact Assessment Tool: A case Study from the Nw Egyptian Red Sea Coastal Zone

Use of Satellite Imagery as Environmental Impact Assessment Tool: A case Study from the Nw Egyptian Red Sea Coastal Zone

Land use/land cover change detection combining automatic processing and visual interpretation

Impacts of Land Use Change on Water Basin Using Remote Sensing and Geographical Information System

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