Literature DB >> 16917688

Using landsat data to determine land use/land cover changes in Samsun, Turkey.

Mustafa Güler1, Tahsin Yomralioğlu, Selçuk Reis.   

Abstract

The rapid industrialization and urbanization of an area require quick preparation of actual land use/land cover (LU/LC) maps in order to detect and avoid overuse and damage of the landscape beyond sustainable development limits. Remote sensing technology fits well for long-term monitoring and assessment of such effects. The aim of this study was to analyze LU/LC changes between 1980 and 1999 in Samsun, Turkey, using satellite images. Three Landsat images from 1980, 1987 and 1999 were used to determine changes. A post classification technique was used based on a hybrid classification approach (unsupervised and supervised). Images were classified into six LU/LC types; urban, agriculture, dense forest, open forest-hazelnut, barren land and water area. It is found that significant changes in land cover occurred over the study period. The results showed an increase in urban, open forest/hazelnut, barren land and water area and a decrease in agriculture and dense forest in between 1980 and 1999. In this period, urban land increased from 0.77% to 2.47% of the total area, primarily due to conversions from agricultural land and forest to a lesser degree. While the area of dense forest decreased from 41.09% to 29.64% of the total area, the area of open forest and hazelnut increased from 6.73% to 11.88%.

Entities:  

Mesh:

Year:  2006        PMID: 16917688     DOI: 10.1007/s10661-006-9270-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

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Authors:  S Hathout
Journal:  J Environ Manage       Date:  2002-11       Impact factor: 6.789

  1 in total
  8 in total

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Journal:  Environ Monit Assess       Date:  2007-06-23       Impact factor: 2.513

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Journal:  Environ Monit Assess       Date:  2008-02-01       Impact factor: 2.513

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Journal:  Environ Monit Assess       Date:  2009-04-28       Impact factor: 2.513

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Journal:  Environ Monit Assess       Date:  2015-07-24       Impact factor: 2.513

7.  Rural Land Use Change during 1986-2002 in Lijiang, China, Based on Remote Sensing and GIS Data.

Authors:  Jian Peng; Jiansheng Wu; He Yin; Zhengguo Li; Qing Chang; Tianlong Mu
Journal:  Sensors (Basel)       Date:  2008-12-11       Impact factor: 3.576

8.  Integrated Change Detection and Classification in Urban Areas Based on Airborne Laser Scanning Point Clouds.

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  8 in total

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