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BY-NC-ND 3.0 license Open Access Published by De Gruyter Open Access November 6, 2015

Exploring Land use and Land cover change in themining areas of Wa East District, Ghana usingSatellite Imagery

  • Prosper Laari Basommi , Qingfeng Guan and Dandan Cheng
From the journal Open Geosciences


Satellite imagery has been widely used to monitorthe extent of environmental change in both mine andpost mine areas. This study uses Remote sensing and GeographicalInformation System techniques for the assessmentof land use/land cover dynamics of mine relatedareas in Wa East District of Ghana. Landsat satellite imageriesof three different time periods, i.e., 1991, 2000 and2014 were used to quantify the land use/cover changes inthe area. Supervised Classification using Maximum LikelihoodTechnique in ERDAS was utilized. The images werecategorized into five different classes: Open Savannah,Closed Savannah, Bare Areas, Settlement and Water. Imagedifferencing method of change detection was used toinvestigate the changes. Normalized Differential VegetativeIndex valueswere used to correlate the state of healthyvegetation. The image differencing showed a positive correlationto the changes in the Land use and Land coverclasses. NDVI values reduced from 0.48 to 0.11. The landuse change matrix also showed conversion of savannahareas into bare ground and settlement. Open and closesavannah reduced from 50.80% to 36.5% and 27.80% to22.67% respectively whiles bare land and settlement increased.Overall accuracy of classified 2014 image andkappa statistics was 83.20% and 0.761 respectively. Thestudy revealed the declining nature of the vegetation andthe significance of using satellite imagery. A higher resolutionsatellite Imagery is however needed to satisfactorilydelineate mine areas from other bare areas in such Savannahzones.


[1] Rigge M., Wylie B., Gu Y., Belnap J., Tieszen L., Monitoring thestatus of forests and rangelands in the western United Statesusing ecosystem performance anomalies, International Journalof Remote Sensing 2013, 34, 4049–4068.10.1080/01431161.2013.772311Search in Google Scholar

[2] Vogelmann J.E., Tolk B., Zhu Z., Monitoring forest changes in theSouthwestern United States using multitemporal Landsat data,Remote Sensing of Environment 2009, 113, 1739–1748.10.1016/j.rse.2009.04.014Search in Google Scholar

[3] Giriraj A., Babar S., Reddy C.S., Monitoring of forest coverchange in Pranahita Wildlife Sanctuary, Andhra Pradesh, Indiausing remote sensing and GIS, Journal of Environmental Scienceand Technology 2008, 1, 73–79.10.3923/jest.2008.73.79Search in Google Scholar

[4] Yuan F., Sawaya K.E, Loeffelhoz B.C., Bauer M.E., Land coverclassification and change analysis of the twin cities (Minnesota)Metropolitan Area by multitemporal Landsat remote sensing,Remote Sensing of Environment 2005, 98, 317–328.10.1016/j.rse.2005.08.006Search in Google Scholar

[5] Codjoe S.N.A., Integrating Remote Sensing, GIS, Census,and Socioeconomic Data in Studying the Population–LandUse/Cover Nexus in Ghana: A Literature Update, Africa Development2009, 2, 197–212.10.4314/ad.v32i2.57188Search in Google Scholar

[6] Townshend J., Justice C., Li W., Gurney C., McManus J., Goballand cover classification by remote sensing – Present capabilitiesand future possibilities, Remote Sensing of Environ 1991,35, 253–255.10.1016/0034-4257(91)90016-YSearch in Google Scholar

[7] Nyamekye C., Osei E.M., Osei Tutu A., Classification of time seriesNDVI for the assessment of land cover change in Ghanausing NOAA/AVHRR data, Indian Society of Geomatics 2014, 8,34–39.Search in Google Scholar

[8] Coppin P., Jonckheere I., Nackaerts K., Muys B., Lambin E., Digitalchange detection methods in ecosystem monitoring: a review,International Journal of Remote Sensing 2004, 25, 1565–1596.10.1080/0143116031000101675Search in Google Scholar

[9] Lu D.S., Mausel P., Brondízio E.S., Moran E., Change detectiontechniques, International Journal of Remote Sensing 2004, 25,2365–2407.10.1080/0143116031000139863Search in Google Scholar

[10] Jensen J.R. Remote Sensing of the Environment: An Earth ResourcePerspective, 2nd Ed. Prentice-Hall, Inc.; Upper SaddleRiver, NJ: 2000, p. 544.Search in Google Scholar

[11] Akabzaa T., Darimani A., Impact of Mining Sector Investment inGhana: A Study of the Tarkwa Mining Region, Draft Report 2001,Prepared for SAPRI.Search in Google Scholar

[12] Kumi-Boateng B., Land use land cover Mapping using remotesensing for urban development-A case study of Tarkwa andits Environs, ASPRS conference, Annual Conference San Diego,Calfornia, 2010.Search in Google Scholar

[13] Schueler V., Kuemmerle T., Schroder H., Impacts of Surface GoldMining on Land Use Systems in Western Ghana, AMBIO 2011,40, 528–539.10.1007/s13280-011-0141-9Search in Google Scholar PubMed PubMed Central

[14] Liang S., Quantitative Remote Sensing of Land Surfaces; JohnWiley & Sons, Inc.: Hoboken, NJ, USA, 2004, 246–257.10.1002/047172372XSearch in Google Scholar

[15] Beck P.S.A., Atzerberger C., Hogba K.A., Johansen B., SkidmoreA.K., Improved monitoring of vegetation dynamics at very highlatitudes: A new method using MODIS NDVI, Remote SensingEnviron 2006, 100, 321–334.10.1016/j.rse.2005.10.021Search in Google Scholar

[16] El Gammal E.A., Salem S.M., El Gammal A.E.A., Change detectionstudies on the world’s biggest artificial lake (Lake Nasser,Egypt), Egypt Journal of Remote Sensing & Space Science 2010,17, 89–99.10.1016/j.ejrs.2010.08.001Search in Google Scholar

[17] Wa East District Profile, 2010, retreived from in Google Scholar

[18] Menz M., Bethke M., Vegetation map of Ghana, Regionalizationof the IGBP Global land cover Map for Western Africa (Ghana,Togo and Benin), Proceedings of the 20th EARSeL-symposium,Dresden, Germany, 2000.Search in Google Scholar

[19] Papadavid G., Fasoula D., Hadjimitsis M., Perdikou P.S., Imagebased remote sensing method for modeling black-eyed beans(Vigna unguiculata) Leaf Area Index (LAI) and Crop Height (CH)over Cyprus, Central European Journal of Geosciences 2013,5(1):1-11.10.2478/s13533-012-0112-0Search in Google Scholar

[20] Tateishi R., Shimazaki, Y., and Gunin, P.D., Spectral and temporallinear mixing model for vegetation classification, InternationalJournal of Remote Sensing 2004, vol. 25(20), 4208–4218.10.1080/01431160410001680437Search in Google Scholar

[21] Agyepong G.T., Duadze S.E.K., Annor J., Land use and Landcover classification scheme for Ghana, Remote sensing ApplicationUnit, University of Ghana, Legon, Accra, 1996.Search in Google Scholar

[22] Congalton R.A., Review of assessing the accuracy of classificationsof remotely sensed data, Remote Sens. Environ 1991, 37,35–46.10.1016/0034-4257(91)90048-BSearch in Google Scholar

[23] Vliet V., Bregt J., Hagen-Zanker A., Revisiting Kappa to accountfor change in the accuracy assessment of land-use change models,Ecological Modelling 2011, 222, 1367–1375.10.1016/j.ecolmodel.2011.01.017Search in Google Scholar

[24] Gurgel H.C., Ferreira N.J., Annual and international variability ofNDVI in Brazil and its connections with climate, InternationalJournal of Remote Sensing 2003, 24, 3595–3609.10.1080/0143116021000053788Search in Google Scholar

[25] Jiya S.N.,Musa H.D., An Assessment of Mining Activities Impacton Vegetation in Bukuru Jos Plateau State Nigeria Using NormalizedDifferential Vegetation Index (NDVI), Journal of SustainableDevelopment 2011, 4(6), 150–159.10.5539/jsd.v4n6p150Search in Google Scholar

[26] Ghana Statistical Service (GSS), Population and housing censusreports for 2010: Analysis of district data and implications forplanning Upper West Region Ghana Statistical Services, Ghana,2010.Search in Google Scholar

[27] Ghana News Agency (GNA), Eight Burkinabe illegal minersarrested in Wa East, 2013, retrieved in Google Scholar

[28] Awumbila M., Tsikata D., Migration dynamics and small-scalegold mining in north-eastern Ghana: Implications for sustainablerural livelihood, ISSER 2004, Univ. of Ghana, Accra, Ghana.Search in Google Scholar

[29] Duadze S.E.K., Adu-Prah S., Annor J. Donyuo S.S.B., Nationalland use and land cover mapping in Ghana using Satellite Imagery,Yankson, P.W.K and Rasmussen. M.S. 1999, pp. 129.Search in Google Scholar

[30] Dickson K.B., Benneh G., A New Geography of Ghana, Longman,London, 1995, pp. 21–33.Search in Google Scholar

[31] Singh S.K., Singh C.K., Mukherjee S., Impact of land-use andland cover change on groundwater quality in the Lower Shiwalikhills: a remote sensing and GIS based approach, Central EuropeanJournal of Geosciences 2010, 2, 124–131.10.2478/v10085-010-0003-xSearch in Google Scholar

[32] Agyeman I., Assessment of environmental Degradation inNorthern Ghana. A GIS based participatory Approach, PhD Thesis,University of Leeds, 2007.Search in Google Scholar

[33] Zwane N., Love D., Hoko Z., Shoko D., Managing the impact ofgold panning activities within the context of integrated waterresources management planning in the Lower Manyame Sub-Catchment, Zambezi Basin, Zimbabwe, Physics and Chemistryof the Earth 2006, 31, 848–856.10.1016/j.pce.2006.08.024Search in Google Scholar

[34] Drake P.L., Rojas M., Reh C.M.,Mueller C.A., Jenkins F.M. , Occupationalexposure to airborne mercury during gold mining operationsnear El Callao, Venezuela, International Archive of Occupationaland Environmental Health 2001, 74(3): 206–212.10.1007/s004200000206Search in Google Scholar PubMed

[35] Murwendo T., Rusinga O., Zinhiva H., The role of small-scalegold mining in promoting sustainable livelihoods among localcommunities in Kadoma district of Zimbabwe, Journal of SustainableDevelopment in Africa 2011, 13(7): 191–200.Search in Google Scholar

[36] Kugbe J.M., Henmi T., Analyses of net annual nutrient balanceand its spatio-temporal dynamics due to bush fire losses andatmospheric depositional gains in the Northern Savanna regionof Ghana, 2007.Search in Google Scholar

[37] CERSGIS, Land Degradation Assessment in all Ecological Zonesof Ghana, 2010, Final Report.Search in Google Scholar

Received: 2015-03-20
Accepted: 2015-10-16
Published Online: 2015-11-06

©2015 L. B. Prosper et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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