Application of Geo-Information Techniques in Land Use and Land Cover Change Analysis in a Peri-Urban District of Ghana

Using Satellite Remote Sensing and Geographic Information System, this paper analyzes the land use and land cover change dynamics in the Bosomtwe District of Ghana, for 1986, 2010 thematic mapper and enhanced thematic Mapper+ (TM/ETM+) images, and 2014 Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIS) image. The three images were geo-referenced and processed for classification, using the maximum likelihood classifier algorithm. A Jeffries-Matusita’s separability check was used in confirming the degree of spectral separation acceptability of the bands used for each of the land use and land cover classes. The best Kappa hat statistic of classification accuracy was 83%. Land Use and Land Cover (LULC) transition analysis in Environmental Systems Research Institute ESRI’s ArcMap was performed. The results of the classification over the three periods showed that built up, bare land and concrete surfaces increased from 1201 in 1986 to 5454 ha in 2010. Dense forest decreased by 2253 ha over the same period and increased by 873 ha by the 2014. Low forest also decreased by 1043 ha in 2010; however, it increased by 13% in 2014. Our findings showed some of the important changes in the land use and land cover patterns in the District. After the urbanization process, coupled with farmland abandonment, between 1986 and 2010, substantial increments in urban land and clear increments in farmland coverage between 1986 and 2014were found to be the reason for vegetation cover decreases. This suggests that major changes in the socio-ecological driving forces affecting landscape dynamics have occurred in the last few decades.

[1]  B. Prenzel.  Remote sensing-based quantification of land-cover and land-use change for planning , 2004 .

[2]  Pete Smith,et al.  A coherent set of future land use change scenarios for Europe , 2006 .

[3]  T. Brewer,et al.  Application of Remote Sensing and GIS for Modeling and Assessment of Land Use/Cover Change in Amman/Jordan , 2013 .

[4]  Satellite image analysis using remote sensing data in parts of western Niger Delta, Nigeria , 2013 .

[5]  E. Lambin,et al.  Dynamics of Land-Use and Land-Cover Change in Tropical Regions , 2003 .

[6]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[7]  Kwasi Appeaning Addo,et al.  Urban and Peri-Urban Agriculture in Developing Countries Studied using Remote Sensing and In Situ Methods , 2010, Remote. Sens..

[8]  R. A. Acheampong,et al.  Understanding Households’ Residential Location Choice in Kumasi’s Peri-Urban Settlements and the Implications for Sustainable Urban Growth , 2013 .

[9]  Marco Vizzari,et al.  Peri-Urban Transformations in Agricultural Landscapes of Perugia, Italy , 2011, J. Geogr. Inf. Syst..

[10]  Praveen Kumar Mallupattu,et al.  Analysis of Land Use/Land Cover Changes Using Remote Sensing Data and GIS at an Urban Area, Tirupati, India , 2013, TheScientificWorldJournal.

[11]  R. Manonmani,et al.  Remote Sensing and GIS Application In Change Detection Study In Urban Zone Using Multi Temporal Satellite , 2010 .

[12]  E. K. Forkuo,et al.  Determinants of Peri-Urbanization and Land Use Change Patterns in Peri-Urban Ghana , 2014 .

[13]  Peter H Verburg,et al.  Land cover change or land‐use intensification: simulating land system change with a global‐scale land change model , 2013, Global change biology.

[14]  Bhagawat Rimal,et al.  APPLICATION OF REMOTE SENSING AND GIS, LAND USE/LAND COVER CHANGE IN KATHMANDU METROPOLITAN CITY, NEPAL. , 2011 .

[15]  Change Detection in Land use / Land cover in Akola Taluka Using Remote Sensing and GIS Technique , 2014 .

[16]  K. Muazu,et al.  Mapping land use-land cover and change detection in Kafur local government, Katsina, Nigeria (1995-2008) using remote sensing and Gis. , 2010 .

[17]  S. Stehman,et al.  Accuracy Assessment , 2003 .

[18]  N. Samat,et al.  Modelling Land Use Changes at the Peri-Urban Areas Using Geographic Information Systems and Cellular Automata Model , 2011 .

[19]  Alison Ravetz,et al.  Remaking Cities : Contradictions of the Recent Urban Environment , 1980 .

[20]  V. Dutta.  Land Use Dynamics and Peri-urban Growth Characteristics , 2012 .

[21]  Tobago.  Population and Housing Census. , 2011 .

[22]  Trend in Land Use/Land Cover Change Detection by RS and GIS Application , 2011 .

[24]  Jian Peng,et al.  Rural Land Use Change during 1986–2002 in Lijiang, China, Based on Remote Sensing and GIS Data , 2008, Sensors.

[25]  Yumin Chen,et al.  Remote Sensing Change Detection and Process Analysis of Long-Term Land Use Change and Human Impacts , 2011, AMBIO.

[26]  K. Weerakoon.  GIS ASSISTED SUITABILITY ANALYSIS FOR URBAN AGRICULTURE; AS A STRATEGY FOR IMPROVING GREEN SPACES IN COLOMBO URBAN AREA , 2013 .

[27]  J. Qi,et al.  Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization , 2009 .

[28]  Stuart E. Marsh,et al.  A Landscape Approach for Detecting and Evaluating Change in a Semi-Arid Environment , 2000 .

[29]  Simon Bell,et al.  Peri-urban futures: Scenarios and models for land use change in Europe , 2013 .

[30]  Miquel Ninyerola,et al.  Linking land cover dynamics with driving forces in mountain landscape of the Northwestern Iberian Peninsula , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[31]  John S. Iiames,et al.  A Quantitative Assessment of a Combined Spectral and GIS Rule-Based Land-Cover Classification in the Neuse River Basin of North Carolina , 2003 .