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Google Earth


Description:

Google Earth is free software which displays satellite images of varying resolution of the Earth's surface, allowing users to see things like cities and houses looking perpendicularly down or at an oblique angle. The resolution varies but most land is covered in at least 15 meters of resolution. Google Earth allows users to search for addresses for some countries, enter coordinates, or simply use the mouse to browse to a location.

Summary / Notes:

Google Earth is free software which displays satellite images of varying resolution of the Earth's surface, allowing users to see things like cities and houses looking perpendicularly down or at an oblique angle. The resolution varies but most land is covered in at least 15 meters of resolution. Google Earth allows users to search for addresses for some countries, enter coordinates, or simply use the mouse to browse to a location.

Type: Website

URL: http://www.google.com/earth/index.html


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Google Earth
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Central Bureau of Statistics. 2011. An atlas of poverty in Namibia. Central Bureau of Statistics, Windhoek
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2011Central Bureau of StatisticsBook, Book Section, Booklet25.46 mb zip
Central Bureau of Statistics. 2011. An atlas of poverty in Namibia. Central Bureau of Statistics, Windhoek. [Chapter 01: Introduction and 02: Methods]
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2011Central Bureau of StatisticsBook, Book Section, Booklet3.96 mb pdf
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Central Bureau of Statistics. 2011. An atlas of poverty in Namibia. Central Bureau of Statistics, Windhoek. [Chapter: 03 Expenditure and 04: Wealth Groups]
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2011Central Bureau of StatisticsBook, Book Section, Booklet5.83 mb pdf
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Central Bureau of Statistics. 2011. An atlas of poverty in Namibia. Central Bureau of Statistics, Windhoek. [Chapter: 05 Access to Safe Water; 06 Cooking Fuels; 07 Sanitation]
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Central Bureau of Statistics. 2011. An atlas of poverty in Namibia. Central Bureau of Statistics, Windhoek. [Chapter: 08 Building Materials and 09 Education]
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2011Central Bureau of StatisticsBook, Book Section, Booklet5.14 mb pdf
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Central Bureau of Statistics. 2011. An atlas of poverty in Namibia. Central Bureau of Statistics, Windhoek. [Chapter: 10 Some other geographical aspects of welfare; and Appendices]
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Interactive Digital Atlas of the Cuvelai-Etosha Basin by CuveWaters Project and GIZ
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Taylor, J.J. 2008. Naming the Land: San countermapping in West Caprivi, Namibia. Geoforum, 38 (5): 1766-1775
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2008 Journal Article
Tagg, J. and Taylor, J.J. 2006. PGIS and Mapping for Conservation in Namibia. Participatory Learning and Action, 55: 79-86
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Central Bureau of Statistics, 2010. An atlas of Namibia's population: monitoring and understanding its characteristics. National Planning Commission.
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2010Central Bureau of StatisticsReport29.72 mb pdf
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Bagli, S., Geneletti, D. and Orsi, F. 2011. Routeing of power lines through least-cost path analysis and multicriteria evaluation to minimise environmental impacts. Environmental Impact Assessment Review 31: 234–239
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E.S.R.I., 1989. ARC/INFO (Reference manuals). Redlands: E.S.R.I. Inc.
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1989Bibliography compiled by Bird Database ProjectBook, Book Section, Booklet
NORED Electricity. 2010
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2010 Shapefile60 kb zip
Hillyer, A.E.M., McDonagh, J.F. and Verlinden, A. 2006. Land-use and legumes in northern Namibia — The value of a local classification system. Agriculture, Ecosystems and Environment, 117(4): 251-265
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SRTM 90m Digital Elevation Database v4.1
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Shaw, J.M., Jenkins, A.R., Smallie, J.J. and Ryan, P.G. 2010. Modelling power-line collision risk for the Blue Crane Anthropoides paradiseus in South Africa. Ibis 152: 590–599
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Klintenberg, P. and Seely, M. 2004. Land Degradation Monitoring in Namibia: A First Approximation. Environmental Monitoring and Assessment, 99(1-3): 5-21
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Fritz, H., Saïd, S., Renaud, P-C,. et al. 2003. The effects of agricultural fields and human settlements on the use of rivers by wildlife in the mid-Zambezi valley, Zimbabwe. Landscape Ecology, 18: 293-302
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2003 Journal Article
Kazapua, V.U., Haindongo, P. and Shikongo, P. 2009. Forest fire synopsis: a Namibian context 2006-2007. Agricola, 19: 21-25
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2009Ministry of Agriculture, Water and ForestryJournal Article3.27 mb pdf
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Tatem, A.J., Adamo, S., Bharti, N., Burgert, C.R., Castro, M., Dorelien, A., Fink, G., Linard, C., Mendelsohn, J., Montana, L., Montgomery, M.R., Nelson, A., Noor, A.M., Pindolia, D., Yetman, G.and Balk, D. 2012. Mapping populations at risk: improving spatial demographic data for infectious disease modeling and metric derivation. Population Health Metrics, 10(8)
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2012 Journal Article
Lancaster, J., Wade, T.G., Wickham, J.D., Whitford, W. and Jones, K.B. 1999. Evaluating change in rangeland conditions using multitemporal AVHRR data and geographic information system analysis. Environmental Monitoring and Assessment, 59: 211-223
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1999DRFN DLIBJournal Article143 kb pdf
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Louis, G.E. and Magpili, L.M. 2002. Representing inequities in the distribution of socio-economic benefits and environmental risk. Environmental Monitoring and Assessment, 79(2): 101-119
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Herzog, F. and Lausch, A. 2001. Supplementing Land-Use Statistics with Landscape Metrics: Some Methodological Considerations. Environmental Monitoring and Assessment, 72: 37-50
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Hernandez, M., Miller, S.N., Goodrich, D.C., Goff, B.F., Kepner, W.G., Edmonds, C.M. and Jones, K.B. 2000. Modeling runoff response to land cover and rainfall spatial variability in semi-arid watersheds. Environmental Monitoring and Assessment, 64: 285-298
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Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B. and Lambin, E. 2004. Digital change detection methods in ecosystem monitoring: a review. International Journal of Remote Sensing, 25(9): 1565-1596
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Wolski, P., Savenije, H.H.G., Murray-Hudson, M. and Gumbricht, T. 2006. Modelling of the flooding in the Okavango Delta, Botswana, using a hybrid reservoir-GIS model. Journal of Hydrology, 331(1–2): 58–72
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Hoare, D. and Phillip, F. 2004. Phenological description of natural vegetation in southern Africa using remotely-sensed vegetation data. Applied Vegetation Science, 7(1): 19–28
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Paterson, B. 2005. A transdisciplinary study on developing knowledge based software tools for wildlife management in Namibia. PhD Thesis, Universtiy of Cape Town, South Africa
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Kralisch, S., Zander, F. and Flügel, W-A. 2013. OBIS - a Data and Information Management System for the Okavango Basin. In: Oldeland, J., Erb, C., Finckh, M. and Jürgens, N. (eds). Environmental Assessments in the Okavango Region. Biodiversity and Ecology, 5: 213–220
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