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
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
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
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
Curran PJ (1987) Remote sensing methodologies and geography. Int J Remote Sens 8:1255–1275
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
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
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
Gomez B, Jones JP III (eds) (2010) Research methods in geography: a critical introduction. Wiley-Blackwell, West Sussex
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
Guba EG, Lincoln YS (1994) Competing paradigms in qualitative research. In: Denzin NK, Lincoln YS (eds) Handbook of qualitative research. Sage, CA
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
Holloway I (1997) Basic concepts for qualitative research. Blackwell Science, Oxford
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
Jensen JR (2005) Introductory digital image processing: a remote sensing perspective. Prentice-Hall, Upper Saddle River
Jensen JR (2006) Remote sensing of the environment: an earth resource perspective, 2nd edn. Prentice Hall, Upper Saddle River
Johnson LF (2001) Nitrogen influence on fresh-leaf NIR spectra. Remote Sens Environ 78(3):314–320
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
Kosso P (2011) A summary of scientific method. Springer, Heidelberg
Kuhn TS (1996) The structure of scientific revolutions, 3rd edn. University of Chicago Press, Chicago and London
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
MacDonald J (2002) The earth observation business and the forces that impact it. Earth Obs Bus Network
Miller HJ, Han J (2001) Geographic data mining and knowledge discovery. Taylor & Francis, London
Patton MQ (1990) Qualitative evaluation and research methods, 2nd edn. Sage, Newbury Park
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
Prenzel B (2004) Remote sensing-based quantification of land-cover and land-use change for planning. Prog Plann 61:281–299
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
Ray TW, Murray BC (1996) Non-linear spectral mixing in desert vegetation. Remote Sens Environ 55(1):59–64
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
Schott J (1997) Remote sensing: the image chain approach. Oxford University Press, New York
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
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
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
Zarco-Tejada PJ (2000) Hyperspectral remote sensing of closed forest canopies: estimation of chlorophyll fluorescence and pigment content department of physics. York University, Toronto
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
Zhang J, Hsu W, Lee M (2002) Image mining: trends and developments. Kluwer Academic, Dordrecht
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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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