Detection of land cover changes around Lake Mutirikwi, Zimbabwe, based on traditional remote sensing image classification techniques

References

• Achankeng E. 2003. Globalisation, urbanisation and municipal solid waste in Africa. In: African Studies Association of Australasia and the Pacific Conference Proceedings – African on a Global Stage. Available at http://www.ssn.flinders.edu.au/global/afsaap [accessed 7 December 2012].
   Google Scholar
• Asrar G, Fuchs M, Kanemasu ET, Yoshida M. 1984. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agronomy Journal 76: 300–306.
   Web of Science ®Google Scholar
• Baret F, Guyot G. 1991. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of the Environment 35: 161–173.
   Web of Science ®Google Scholar
• Berk AG, Acharya PK, Chetwynd JH, Bernstein LS, Shettle EP, Matthew MW, Adler-Golden SM, Hanscom AFB. 2000. MODTRAN 4 User's Manual. Burlington, Massachusetts: Air Force Research Laboratory, Spectral Sciences.
   Google Scholar
• Broge NH, Leblanc E. 2000. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sensing of the Environment 76: 156–172.
   Web of Science ®Google Scholar
• Chander G, Brian L, Helder DL. 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of the Environment 113: 893–903.
   Web of Science ®Google Scholar
• Chawira M, Dube T, Gumindoga W. 2013. Remote sensing based water quality monitoring in Chivero and Manyame lakes of Zimbabwe. Physics and Chemistry of the Earth 66: 38–44.
   Web of Science ®Google Scholar
• Chikwenhere GP. 2001. Current strategies for the management of water hyacinth on the Manyame river system in Zimbabwe. In: Julien MH, Hill MP, Center TD, Ding J (eds), Proceedings of the 2nd IOBC Global Water Hyacinth Working Group, October 9-12 2000, Beijing, China, Canberra: Australia Centre for International Agriculture Research. pp 105–108.
   Google Scholar
• Davies RG, Barbosa O. 2008. City-wide relationships between green spaces, urban land use and topography. Urban Ecosystems 11: 269–287.
   Google Scholar
• Duarte CM. 1995. Submerged aquatic vegetation in relation to different nutrient regimes. Ophelia 41: 87–112.
   Web of Science ®Google Scholar
• ENVI (Environment for Visualizing Images). 2009. Atmospheric Correction Module: QUAC and FLAASH User's Guide 20AC47DOC. Atmospheric Correction Module Version 4.7. Australia: ITT Visual Information Solutions and Unisearch Ltd.
   Google Scholar
• Franklin JFW. 1991. Thematic Mapper Analysis of tree cover in semi arid woodlands using a model of canopy shadowing. Remote Sensing of the Environment 36: 189–202.
   Web of Science ®Google Scholar
• Gulati RD, van Donk E. 2002. Lakes in the Netherlands, their origin, eutrophication and restoration: state-of-the-art review. Hydrobiologia 478: 73–106.
   Web of Science ®Google Scholar
• Guo J, Liang L, Gong P. 2010. Removing shadows from Google Earth images. International Journal of Remote Sensing 31: 1379–1389.
   Web of Science ®Google Scholar
• Hardoy JE, Mitlin D. 2001. Environmental problems in an urbanising world: finding solutions in Africa, Asia, and Latin America. Sterling, Virginia: Earthscan Publications.
   Google Scholar
• Jayaraman V, Srivastava SK. 2002. The invariance of red edge inflexion wavelengths derived from ground-based spectro- radiometer and space borne IRS-P3: MOS-B data. International Journal of Remote Sensing 23: 2741–2765.
   Web of Science ®Google Scholar
• Kaliraj S, Muthu S. 2012. Application of remote sensing in detection of forest cover changes using geo-statistical change detection matrices – a case study of Devanampatti Reserve forest, Tamilnadu, India, Nature. Environment and Pollution Technology 11: 261–269.
   Google Scholar
• Kaufmann Y, Wald JAE. 1997. The MODIS 2.1-mm Channel- correlation with visible reflectance for use in remote sensing of aerosol. IEEE Transactions on Geoscience and Remote Sensing 35: 1286–1298.
   Web of Science ®Google Scholar
• Khan IH. 2003. Textbook of solid wastes management. Calcutta: CBS Publishers. pp 87–89.
   Google Scholar
• Kromkamp J, Morris EP. 2006. Relationship of intertidal surface sediment chlorophyll concentration to hyperspectral reflectance and chlorophyll fluorescence. Estuaries and Coasts 29: 183–196.
   Web of Science ®Google Scholar
• Malone TC, Kemp WM. 1986. Lateral variations in the production and fate of phytoplankton in a partially stratified estuary. Marine Ecology Progress Series 32: 149–160.
   Web of Science ®Google Scholar
• Mapira J. 2011. Sewage treatment, disposal and management problems, and the quest for a cleaner environment in Masvingo city (Zimbabwe). Journal of Sustainable Development in Africa 2313: 353–363.
   Google Scholar
• Marshall BE. 2005. The impact of eutrophication on Lake Chivero, Zimbabwe: a tropical African reservoir. In: Reddy MV (ed.), Restoration and management of tropical eutrophic lakes. UK: Science Publishers.
   Google Scholar
• Mudzengi BK, Simba FM, Murwendo T, Mdlongwa T. 2013. Perspectives in climate change and gender issues: a case study of Masvingo Province in Zimbabwe. Sacha Journal of Environmental Studies 3: 1–10.
   Google Scholar
• Mutanga O, Skidmore AK. 2004. Hyperspectral band depth analysis for a better estimation of grass biomass (Cenchrus ciliaris) measured under controlled laboratory conditions. International Journal of Applied Earth Observation and Geoinformation 5: 87–96.
   Google Scholar
• Nhapi I. 2009. The water situation in Harare, Zimbabwe: a policy and management problem. Water Policy 11: 221–235.
   Web of Science ®Google Scholar
• Nhapi I, Dalu J, Ndamba J, Siebel MA, Gijzen J. 2003. An evolution of duckweed-based pond systems as an alternative option for decentralisation treatment and reuse of wastewater in Zimbabwe. Water Sciences and Technology 48: 323–330.
   PubMed Web of Science ®Google Scholar
• Pieterse AH. 1990. Introduction. In: Pieterse AH, Murphy K (eds), Aquatic weeds: the ecology and management of nuisance aquatic vegetation. Oxford: Oxford University Press. pp 1–16.
   Google Scholar
• Roy PS, Joshi PK. 2002. Forest cover assessment in north-east India – the potential of temporal wide swath satellite sensor data (IRS-1C WiFS). International Journal of Remote Sensing 23: 4881–4896.
   Web of Science ®Google Scholar
• Rulinda CM, Wietske B, Stein A. 2010. Image mining for drought monitoring in eastern Africa using Meteosat SEVIRI data, In:. Remote sensing for Africa: special collection from African Association of Remote Sensing and the Environment (AARSE). International Journal of Applied Earth Observation and Geoinformation Supplement 1: S63–S68.
   Google Scholar
• Satterthwaite D. 1997. Environmental transformation in cities as they get larger, wealthier and better managed. The Geographical Journal 163: 216–224.
   Web of Science ®Google Scholar
• Sellers P, Hall FG, Asrar G, Strebel DE, Murphy RE. 1992. An overview of the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE). Journal of Geophysics Research 97: 18345–18371.
   Web of Science ®Google Scholar
• Shekede MD, Kusangaya S, Schmidt K. 2008. Spatio-temporal variations of aquatic weed abundance and coverage in Lake Chivero, Zimbabwe. Physics and Chemistry of the Earth 33: 714–721.
   Web of Science ®Google Scholar
• Thakur JK, Srivastava PK, Singh SK, Vekerdy Z. 2012. Ecological monitoring of wetlands in semi-arid region of Konya closed Basin, Turkey. Regional Environmental Change 12: 133–144.
   Web of Science ®Google Scholar
• Tucker C. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of the Environment 8: 127–150.
   Web of Science ®Google Scholar
• Ustin L. 2008. Identification of invasive vegetation using hyper- spectral remote sensing in the California Delta ecosystem. Remote Sensing of the Environment 112: 4034–4047.
   Web of Science ®Google Scholar
• Wood EM, Pidgeon AM. 2012. Image texture as a remotely sensed measure of vegetation structure. Remote Sensing of the Environment 121: 516–526.
   Web of Science ®Google Scholar