Literature DB >> 27873865

Analyzing Land Use/Land Cover Changes Using Remote Sensing and GIS in Rize, North-East Turkey.

Selçuk Reis1.   

Abstract

Mapping land use/land cover (LULC) changes at regional scales is essential for a wide range of applications, including landslide, erosion, land planning, global warming etc. LULC alterations (based especially on human activities), negatively effect the patterns of climate, the patterns of natural hazard and socio-economic dynamics in global and local scale. In this study, LULC changes are investigated by using of Remote Sensing and Geographic Information Systems (GIS) in Rize, North-East Turkey. For this purpose, firstly supervised classification technique is applied to Landsat images acquired in 1976 and 2000. Image Classification of six reflective bands of two Landsat images is carried out by using maximum likelihood method with the aid of ground truth data obtained from aerial images dated 1973 and 2002. The second part focused on land use land cover changes by using change detection comparison (pixel by pixel). In third part of the study, the land cover changes are analyzed according to the topographic structure (slope and altitude) by using GIS functions. The results indicate that severe land cover changes have occurred in agricultural (36.2%) (especially in tea gardens), urban (117%), pasture (-72.8%) and forestry (-12.8%) areas has been experienced in the region between 1976 and 2000. It was seen that the LULC changes were mostly occurred in coastal areas and in areas having low slope values.

Entities:  

Keywords:  GIS; Land use\\land cover change; Landsat imagery; Rize

Year:  2008        PMID: 27873865      PMCID: PMC3707445          DOI: 10.3390/s8106188

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  9 in total

1.  Remote sensing and GIS-based integrated analysis of land cover change in Duzce plain and its surroundings (north western Turkey).

Authors:  Cercis Ikiel; Beyza Ustaoglu; Ayse Atalay Dutucu; Derya Evrim Kilic
Journal:  Environ Monit Assess       Date:  2012-05-16       Impact factor: 2.513

2.  Integrating logistic regression and cellular automata-Markov models with the experts' perceptions for detecting and simulating land use changes and their driving forces.

Authors:  Zohreh Shahbazian; Marzban Faramarzi; Noredin Rostami; Hossein Mahdizadeh
Journal:  Environ Monit Assess       Date:  2019-06-08       Impact factor: 2.513

3.  Modeling land use/land cover change using remote sensing and geographic information systems: case study of the Seyhan Basin, Turkey.

Authors:  Elaheh Zadbagher; Kazimierz Becek; Suha Berberoglu
Journal:  Environ Monit Assess       Date:  2018-07-31       Impact factor: 2.513

4.  A multi-temporal analysis for change assessment and estimation of algal bloom in Sambhar Lake, Rajasthan, India.

Authors:  Ritesh Vijay; Shannon M Pinto; Vikash K Kushwaha; Sukdeb Pal; Tapas Nandy
Journal:  Environ Monit Assess       Date:  2016-08-09       Impact factor: 2.513

5.  Land use/land cover changes in the central part of the Chitwan Annapurna Landscape, Nepal.

Authors:  Jagan Nath Adhikari; Bishnu Prasad Bhattarai; Maan Bahadur Rokaya; Tej Bahadur Thapa
Journal:  PeerJ       Date:  2022-05-20       Impact factor: 3.061

6.  Hydrological response to land cover changes and human activities in arid regions using a geographic information system and remote sensing.

Authors:  Shereif H Mahmoud; A A Alazba
Journal:  PLoS One       Date:  2015-04-29       Impact factor: 3.240

7.  Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods.

Authors:  G Harsha; T S Anish; A Rajaneesh; Megha K Prasad; Ronu Mathew; Pratheesh C Mammen; R S Ajin; Sekhar L Kuriakose
Journal:  GeoJournal       Date:  2022-09-16

8.  Spatio-temporal variation of land use and land cover changes and their impact on land surface temperature: A case of Kutupalong Refugee Camp, Bangladesh.

Authors:  Syed Alimuzzaman Bappa; Tanmoy Malaker; Md Rimu Mia; Md Didarul Islam
Journal:  Heliyon       Date:  2022-08-31

9.  Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques-A case study of a hilly area, Jiangle, China.

Authors:  Chen Liping; Sun Yujun; Sajjad Saeed
Journal:  PLoS One       Date:  2018-07-13       Impact factor: 3.240

  9 in total

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