Skip to main content
Book cover

Research Methods in Remote Sensing pp 61–75Cite as

Analysis of Data

Part of the SpringerBriefs in Earth Sciences book series (BRIEFSEARTH)

Abstract

Analysis of data in research is a process of inspecting, cleaning/correcting, transforming, classifying, and modelling the data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. It also refers to the process of evaluating data using analytical and logical reasoning to examine each component of the data. Data from various sources are gathered, reviewed, and then analyzed to form some sort of finding or conclusion. Remote sensing data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of classes and domains. Further, being an emerging field, new tools and techniques are always being proposed and appreciated in the remote sensing community. It is beyond the scope of this book to document each of them. Therefore, this chapter will not attempt to describe the tools and techniques; rather it will be emphasized on the general discussion of remote sensing data analysis. This chapter is based on concepts rather than tools and techniques; constraints and freedoms will also be addressed in context.

Keywords

  • Remote sensing
  • Data
  • Information
  • Knowledge
  • Image
  • Analysis
  • Data mining
  • Visual interpretation
  • Digital processing
  • Multi concept

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-94-007-6594-8_4
  • Chapter length: 15 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   54.99
Price excludes VAT (USA)
  • ISBN: 978-94-007-6594-8
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   69.99
Price excludes VAT (USA)
Learn about institutional subscriptions
Fig. 4.1

References

  • Anderson JR, Hardy EE, Roach JT, Witmer RE (1976) A land use and land cover classification system for use with remote sensor data. US Geological Survey, Washington DC

    Google Scholar 

  • Avery TE, Berlin GL (1985) Interpretation of aerial photographs, 4th edn. Burgess Publishing Company, Minneapolis

    Google Scholar 

  • Avery TE, Berlin GL (1992) Fundamentals of remote sensing and airphoto interpretation, 5th edn. Prentice Hall, New Jersey

    Google Scholar 

  • Bhatta B (2010) Analysis of urban growth and sprawl from remote sensing data. Springer, Heidelberg

    CrossRef  Google Scholar 

  • Bhatta B (2011) Remote sensing and GIS, 2nd edn. Oxford University Press, New Delhi

    Google Scholar 

  • Campbell JB (1996) Introduction to remote sensing. The Guilford Press, New York

    Google Scholar 

  • Datcu M, Seidel K (2005) Human-centred concepts for exploration and understanding of earth observation images. IEEE Trans Geosci Remote Sens 43(3):601–609

    CrossRef  Google Scholar 

  • Jensen JR (1996) Introductory digital image processing: a remote sensing perspective, 2nd edn. Prentice-Hall, New Jersey

    Google Scholar 

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

    Google Scholar 

  • Madhok V, Landgrebe DA (2002) A process model for remote sensing data analysis. IEEE Trans Geosci Remote Sens 40(3):680–686

    CrossRef  Google Scholar 

  • Schott JR (1993) Methods for estimation of and correction for atmospheric effects on remotely sensed data. In: Presented at SPIE’s OE/aerospace and remote sensing 1993 1968, vol 51. Orlando, Florida, pp 448–482

    Google Scholar 

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

    Google Scholar 

  • SCSAC (Steering Committee on Space Applications and Commercialization, National Research Council) (2001) Transforming remote sensing data into information and applications. National Academies Press, Washington

    Google Scholar 

  • Singh A (1989) Digital change detection techniques using remotely sensed data. Int J Remote Sens 10(6):989–1003

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Aided Design Centre, Department of Computer Science and Engineering, Jadavpur University, Kolkata, 700 032, India

    Basudeb Bhatta

Authors
  1. Basudeb Bhatta
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Basudeb Bhatta .

Rights and permissions

Reprints and Permissions

Copyright information

© 2013 The Author(s)

About this chapter

Cite this chapter

Bhatta, B. (2013). Analysis of Data. In: Research Methods in Remote Sensing. SpringerBriefs in Earth Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6594-8_4

Download citation