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Maps in Environmental Monitoring

  • Joseph L. Awange
  • John B. Kyalo Kiema
Chapter
Part of the Environmental Science and Engineering book series (ESE)

Abstract

A map is an abstraction of reality that creates a model of the world or a part thereof, effectively projecting the curved surface of the earth onto a plane surface. Unlike images that model reality at an iconic level of representation, maps accomplish the same at a symbolic level. Maps are important communication, navigation and decision support tools. They also serve as mechanisms for both storage and communication of spatial data and information. In general, maps are required to document and describe resources and the environment. Furthermore, they are an indispensable instrument for planning sustainable development. Hence, they have an important role to play in many economic, environmental and social activities.

Keywords

Geographic Information System Environmental Impact Assessment Total Station Environmental Impact Assessment Digital Terrain Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Bakhsh A, Jaynes DB, Colvin TS, Kanwar RS (2000) Spatio-temporal analysis of yield variability for a cornsoybean field in Iowa. Trans ASAE 43(1):31–38Google Scholar
  2. Braun M, Simões JC, Vogt S, Bremer UF, Blindow N, Pfender M, Saurer H, Aquino FE, Ferron FA (2001) An improved topographic database for King George Island: compilation, application, and, outlook. Antarct Sci 13(1):41–52Google Scholar
  3. Clark RL, Lee R (1998) Development of topographic maps for precision farming with kinematic GPS. Trans ASAE 41(4):909–916Google Scholar
  4. El-Mowafy A (2000) Performance analysis of the RTK technique in an urban environment. Aust Surv 45(1):47–54Google Scholar
  5. Featherstone WE, Stewart MP (2001) Combined analysis of real time kinematic GPS and its users for height determination. J Surv Eng 127(2):31–51CrossRefGoogle Scholar
  6. Fischer C, Spreckels V (1999) Environmental monitoring of coal mining subsidences by airborne high resolution scanner. In: Proceedings of the IEEE international geoscience and remote sensing symposium 1999 (IGARSS ’99), pp 897–899. doi: 10.1109/IGARSS.1999.774478
  7. Fisher P, Wood J, Cheng (2004) Where is Helvellyn? Fuzziness of multi-scale landscape morphometry. Trans Inst Br Geogr 29:106–128Google Scholar
  8. Fraisse CW, Sudduth KA, Kitchen NR (2001) Delineation of site-specific management zones by use of unsupervised classification of topographic attributes and soil electrical conductivity. Trans ASAE 44(1):155–166Google Scholar
  9. Garget D (2005) Testing of robotic total station for dynamic tracking. University of Southern Queensland. http://eprints.usq.edu.au/. Accessed 20 Aug 2009
  10. Gili JA, Corominas J, Rius J (2000) Using global positioning techniques in landslide monitoring. Eng Geol 155(3):167–192CrossRefGoogle Scholar
  11. Hall B (1994) Environmental mapping systems locationally linked databases. Riversinfo. Precision Info. http://www.precisioninfo.com/rivers_org/au/archive/?doc_id=1. Accessed 20 Aug 2009
  12. Hendricks DM (2004) Maps in environmental monitoring. In: Artiola J, Pepper IL, Brusseau ML (eds) Environmental monitoring and characterization. Elsevier Academic Press, San DiegoGoogle Scholar
  13. Jacobs PG (2005) Assessing RTK GPS for a suburban survey practice, University of Southern Queensland, Faculty of Engineering and Surveying. http://eprints.usq.edu.au/546/1/PeterJACOBS-2005.pdf. Accessed 28 Jan 2010
  14. Ji CY, Liu Q, Sun D, Wang S, Lin P, Li X (2001) Monitoring urban expansion with remote sensing in China. Int J Remote Sens 22(8):1441–1455. doi: 10.1080/01431160117207 Google Scholar
  15. Kraak M-J, Ormeling F (2003) Cartography: visualization of geospatial data. Pearson Education, HarlowGoogle Scholar
  16. Konecny G (2003) Geoinformation: remote sensing, photogrammetry, geographic information systems. Taylor and Francis, LondonCrossRefGoogle Scholar
  17. Kvamme K, Ernenwein E, Markussen C (2006) Robotic total station for microtopographic mapping: an example from the Northern Great Plains. Archaeol Prospect 13: 91–102. Wiley Interscience. http://www.interscience.wiley.com. Accessed 13 Aug 2009Google Scholar
  18. Lavine A, Gardner J, Reneau S (2003) Total station geologic mapping: an innovative approach to annalyzing surface-faulting hazards. Eng Geol 70:71–91. doi: 10.1016/S0013-7952(03)00083-8 CrossRefGoogle Scholar
  19. Levin SA (1992) The problem of pattern and scale in ecology. Ecology 73:1943–1967Google Scholar
  20. MacEachren AM, Kraak M-J (1997) Exploratory cartographic visualization: advancing the agenda, Pergamon. Comput Geosci 23(4):335–343Google Scholar
  21. Mandelbrot B (1967) How long is the coast of Britain? In: statistical self-similarity and fractional dimension. Sci N Ser 156(3775):636–638CrossRefGoogle Scholar
  22. Monico JFG (2004) United nations office for outer space affairs GNSS web pages. GPS Solut 8:112–114CrossRefGoogle Scholar
  23. Renschler CS, Flanagan DC, Engel BA, Kramer LA, Sudduth KA (2002) Site specific decision-making based on rtk GPS survey and six alternative data sources: watershed topography and delineation. Trans ASAE 45(6):1883–1895Google Scholar
  24. Reynolds W, Young F, Gibbings P (2005) A comparison of methods for mapping golf Greens. Spat Sci Queensland 2007(4):33–36. ISSN 1032–3848Google Scholar
  25. Schloderer G, Bingham M, Awange JL, Fleming KM (2010) Application of GNSS-RTK derived topographical maps for rapid environmental monitoring: a case study of Jack Finney Lake (Perth, Australia). Environ Monit Assess 180(1–4):147–161. doi: 10.1007/s10661-010-1778-8 Google Scholar
  26. Schmidt JP, Taylor RK, Gehl RJ (2003) Developing topographic maps using a sub-meter accuracy global positioning system. Appl Eng Agric 19(3):291–300Google Scholar
  27. Shalaby A, Tateishi R (2007) Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt. Appl Geogr 27:28–41. doi: 10.1016/j.apgeog.2006.09.004 CrossRefGoogle Scholar
  28. Tate N, Wood J (2001) Fractals and scale dependencies in topography. In: Tate N, Atkinson P (eds)Google Scholar
  29. Tokmakidis K, Spatalas S, Pikridas C (2003) A comparison of a digital terrain model obtained from GPS and classical data. In: Proceedings of international symposium on modern technologies, education and professional practice in the Globalizing World, November, Sofia, Bulgaria, pp 30–35Google Scholar
  30. US Army Corps of Engineers (2007) Control and topographic surveying. Engineering and design manual, EM 1110-1-1005Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Spatial SciencesCurtin University of TechnologyPerthAustralia
  2. 2.Karlsruhe Institute of TechnologyKarlsruheGermany
  3. 3.Kyoto UniversityKyotoJapan
  4. 4.School of EnvironmentMaseno UniversityKisumuKenya
  5. 5.Geospatial and Space TechnologyUniversity of NairobiNairobiKenya

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