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Research Framework

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Research Methods in Remote Sensing

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Abstract

Although this book is focused on research methods, the entire research framework is also necessary to be addressed in context. As stated earlier in Chap. 1, research methods involve some fundamental theoretical questions. These questions are philosophical and concern to the ontology and epistemology. Such philosophical concerns tend to get stored out into distinct paradigms that a researcher can follow. Nested within the theoretical coordinates of paradigms, a set of decisions one has to make about the methodology. Finally, at the most concrete and practical level we find research methods. This chapter is aimed to discuss the entire research framework in the context of remote sensing. Once we gain some ideas on overall research framework, we can proceed further to research methods in the subsequent chapters.

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References

  • Abler R, Adams J, Gould P (1971) Spatial organization: the geographer’s view of the world. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  • Câmara G, Egenhofer M, Fonseca F, Monteiro AMV (2001) What’s in an image? In: Spatial information theory: foundations of geographic information science, international conference, COSIT

    Google Scholar 

  • Câmara GM, Monteiro AMV, Paiva JAC, Souza RCM (2000) Action-driven ontologies of the geographical space: beyond the field-object debate. In: Savanah GA (eds) GIScience, AAG, 52–54 Oct 2000

    Google Scholar 

  • Chen KS, Yen SK, Tsay DW (1997) Neural classification of SPOT imagery through integration of intensity and fractal information. Int J Remote Sens 18(4):763–783

    Article  Google Scholar 

  • Curran PJ (1987) Remote sensing methodologies and geography. Int J Remote Sens 8:1255–1275

    Article  Google Scholar 

  • Durand N, Derivaux S, Forestier G, Wemmert C, Gancarski PO, Boussaid D, Puissant A (2007) Ontology-based object recognition for remote sensing image interpretation. In: IEEE international conference on tools with artificial intelligence, Patras, Greece, pp 472–479

    Google Scholar 

  • Gahegan M (2001) Visual exploration in geography: analysis with light. In: Miller HJ, Han J (eds) Geographic data mining and knowledge discovery. Taylor & Francis, London, pp 260–287

    Chapter  Google Scholar 

  • Gao J, Skillcorn D (1998) Capability of SPOT XS data in producing detailed land cover maps at the urban–rural periphery. Int J Remote Sens 19(15):2877–2891

    Article  Google Scholar 

  • Gomez B, Jones JP III (eds) (2010) Research methods in geography: a critical introduction. Wiley-Blackwell, West Sussex

    Google Scholar 

  • Gower ST, Kucharik CJ, Norman JM (1999) Direct and indirect estimation of leaf area index, f(APAR), and net primary production of terrestrial ecosystems. Remote Sens Environ 70(1):29–51

    Article  Google Scholar 

  • Guba EG, Lincoln YS (1994) Competing paradigms in qualitative research. In: Denzin NK, Lincoln YS (eds) Handbook of qualitative research. Sage, CA

    Google Scholar 

  • Henning E, Van Rensburg W, Smit B (2004) Theoretical frameworks. In: Henning E, Van Rensburg W, Smit B (eds) Finding your way in qualitative research. Van Schaik Publishers, Pretoria

    Google Scholar 

  • Holloway I (1997) Basic concepts for qualitative research. Blackwell Science, Oxford

    Google Scholar 

  • Irny SI, Rose AA (2005) Designing a strategic information systems planning methodology for Malaysian institutes of higher learning (isp-ipta). Issues Inf Syst 6(1):325–331

    Google Scholar 

  • Jensen JR (2005) Introductory digital image processing: a remote sensing perspective. Prentice-Hall, Upper Saddle River

    Google Scholar 

  • Jensen JR (2006) Remote sensing of the environment: an earth resource perspective, 2nd edn. Prentice Hall, Upper Saddle River

    Google Scholar 

  • Johnson LF (2001) Nitrogen influence on fresh-leaf NIR spectra. Remote Sens Environ 78(3):314–320

    Article  Google Scholar 

  • King RB (1994) The value of ground resolution, spectral range and stereoscopy of satellite imagery for land system and land-use mapping of the humid tropics. Int J Remote Sens 15(3):521–530

    Article  Google Scholar 

  • Kosso P (2011) A summary of scientific method. Springer, Heidelberg

    Book  Google Scholar 

  • Kuhn TS (1996) The structure of scientific revolutions, 3rd edn. University of Chicago Press, Chicago and London

    Book  Google Scholar 

  • Langford M, Bell W (1997) Land cover mapping in a tropical hillsides environment: a case study in the Cauca region of Colombia. Int J Remote Sens 18(6):1289–1306

    Article  Google Scholar 

  • MacDonald J (2002) The earth observation business and the forces that impact it. Earth Obs Bus Network

    Google Scholar 

  • Miller HJ, Han J (2001) Geographic data mining and knowledge discovery. Taylor & Francis, London

    Book  Google Scholar 

  • Patton MQ (1990) Qualitative evaluation and research methods, 2nd edn. Sage, Newbury Park

    Google Scholar 

  • Peddle DR, Hall FG, Ledrew EF (1999) Spectral mixture analysis and geometric-optical reflectance modeling of boreal forest biophysical structure. Remote Sens Environ 67(3):288–297

    Article  Google Scholar 

  • Prenzel B (2004) Remote sensing-based quantification of land-cover and land-use change for planning. Prog Plann 61:281–299

    Article  Google Scholar 

  • Quenzel H (1983) Principles of remote sensing techniques. In: Camagni P, Sandroni S (eds) Optical remote sensing of air pollution. Elsevier Science, Amsterdam, pp 27–43

    Google Scholar 

  • Ray TW, Murray BC (1996) Non-linear spectral mixing in desert vegetation. Remote Sens Environ 55(1):59–64

    Article  Google Scholar 

  • Salem BB, El-Cibahy A, El-Raey M (1995) Detection of land cover classes in agro-ecosystems of northern Egypt by remote sensing. Int J Remote Sens 16(14):2581–2594

    Article  Google Scholar 

  • Schott J (1997) Remote sensing: the image chain approach. Oxford University Press, New York

    Google Scholar 

  • Shaw IGR, Dixon DP, Jones JP III (2010) Theorizing our world. In: Gomez B, Jones JP III (eds) Research methods in geography: a critical introduction. Blackwell Publishing, West Sussex, pp 9–25

    Google Scholar 

  • Shuttleworth M (2008) Drawing conclusions. Experiment resources, Online. URL: http://www.experiment-resources.com/drawing-conclusions.html

  • Silva MPS, Câmara G (2004) Remote sensing image mining using ontologies, Online. URL: http://www.dpi.inpe.br/~mpss/artigos/ImageMining2004.pdf

  • Smith B (1999) Ontology: philosophical and computational. Unpublished manuscript. URL: http://wings.buffalo.edu/philosophy/faculty/smith/articles/ontologies.htm

  • Verbyla DL, Richardson CA (1996) Remote sensing clearcut areas within a forested watershed: comparing SPOT HRV panchromatic, SPOT HRV multispectral, and landsat thematic mapper data. J Soil Water Conserv 51(5):423–427

    Google Scholar 

  • Zarco-Tejada P, Miller J (1999) Land cover mapping at BOREAS using red edge spectral parameters from CASI imagery. J Geophys Res 104(D22):27921–27933

    Article  Google Scholar 

  • Zarco-Tejada PJ (2000) Hyperspectral remote sensing of closed forest canopies: estimation of chlorophyll fluorescence and pigment content department of physics. York University, Toronto

    Google Scholar 

  • Zarco-Tejada PJ, Miller JR, Noland TL, Mohammed GH, Sampson PH (2001) Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data. IEEE Trans Geosci Remote Sens 39(7):1491–1507

    Article  Google Scholar 

  • Zhang J, Hsu W, Lee M (2002) Image mining: trends and developments. Kluwer Academic, Dordrecht

    Google Scholar 

Download references

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Correspondence to Basudeb Bhatta .

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Bhatta, B. (2013). Research Framework. In: Research Methods in Remote Sensing. SpringerBriefs in Earth Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6594-8_2

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