Abstract
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.
“Know the weather, know the terrain, and your victory will be complete”
Sun Tzu (\(\approx \)500 BC)
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References
Bhatt GD, Zavery J (2002) The enabling role of decision support systems in organizational learning. Decision Support Syst 32:297–309
CCRS (2012) Canada centre for remote sensing remote sensing tutorial. http://www.nrcan.gc.ca/earth-sciences/geography-boundary/remote-sensing/fundamentals/. Accessed 24 July 2012
Jayaraman V, Chandrasekhar MG, Rao UR (1997) Managing the natural disasters from space technology inputs. Elsevier Science Ltd, Great Britain
Jensen, JR (2009) Remote sensing of the environment: an earth resource perspective. Prentice Hall, Saddle River
Kramer HJ (2002) Observation of the earth and its environment: survey of missions and sensors. Springer, Berlin
Lillesand TM, Kiefer RW, Chipman JW (2010) Remote sensing and image interpretation. John, Hoboken
Murai S (1999) GIS work book: fundamental and technical courses. vols 1 & 2. National Space Development Agency, New York
Murai S (2004) Remote sensing and GIS courses—distance education. Japan International Cooperation Agency (JICA)-Net
Power DJ (2004) Specifying an expanded framework for classifying and describing decision support systems. Commun Assoc Inf Syst 13:158–166
Richards JA (1994) Remote sensing digital image analysis: an introduction. Springer, Berlin
Shim JP, Warkentin M, Courtney JF, Power DJ, Sharda R, Carlsson C (2002) Past, present and future of decision support technology. Decision Support Syst 33:111–126
Sprague RH (1980) A framework for the development of decision support systems. MIS Q 4:1–26
Weng Q (2010) Remote sensing and GIS integration: theories, methods, and applications. McGraw-Hill, Boston, p 416
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Awange, J.L., Kyalo Kiema, J.B. (2013). Fundamentals of Remote Sensing. In: Environmental Geoinformatics. Environmental Science and Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34085-7_7
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DOI: https://doi.org/10.1007/978-3-642-34085-7_7
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