Fundamentals of Remote Sensing

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


Remote sensing is defined as the art, science and technology through which the characteristics of object features/targets either on, above or even below the earth’s surface are identified, measured and analyzed without direct contact existing between the sensors and the targets or events being observed, see e.g., (Jensen 2009; Lillesand et al. 2010; Richards 1994; Murai 1999) etc.


Global Navigation Satellite System Global Navigation Satellite System Geographic Information System Electromagnetic Radiation Disaster Management 
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.


  1. Bhatt GD, Zavery J (2002) The enabling role of decision support systems in organizational learning. Decision Support Syst 32:297–309CrossRefGoogle Scholar
  2. CCRS (2012) Canada centre for remote sensing remote sensing tutorial. Accessed 24 July 2012
  3. Jayaraman V, Chandrasekhar MG, Rao UR (1997) Managing the natural disasters from space technology inputs. Elsevier Science Ltd, Great BritainGoogle Scholar
  4. Jensen, JR (2009) Remote sensing of the environment: an earth resource perspective. Prentice Hall, Saddle RiverGoogle Scholar
  5. Kramer HJ (2002) Observation of the earth and its environment: survey of missions and sensors. Springer, BerlinGoogle Scholar
  6. Lillesand TM, Kiefer RW, Chipman JW (2010) Remote sensing and image interpretation. John, HobokenGoogle Scholar
  7. Murai S (1999) GIS work book: fundamental and technical courses. vols 1 & 2. National Space Development Agency, New YorkGoogle Scholar
  8. Murai S (2004) Remote sensing and GIS courses—distance education. Japan International Cooperation Agency (JICA)-NetGoogle Scholar
  9. Power DJ (2004) Specifying an expanded framework for classifying and describing decision support systems. Commun Assoc Inf Syst 13:158–166Google Scholar
  10. Richards JA (1994) Remote sensing digital image analysis: an introduction. Springer, BerlinGoogle Scholar
  11. Shim JP, Warkentin M, Courtney JF, Power DJ, Sharda R, Carlsson C (2002) Past, present and future of decision support technology. Decision Support Syst 33:111–126CrossRefGoogle Scholar
  12. Sprague RH (1980) A framework for the development of decision support systems. MIS Q 4:1–26CrossRefGoogle Scholar
  13. Weng Q (2010) Remote sensing and GIS integration: theories, methods, and applications. McGraw-Hill, Boston, p 416Google 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

Personalised recommendations