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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

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  • DOI: 10.1007/978-94-007-6594-8_4
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Fig. 4.1

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Correspondence to Basudeb Bhatta .

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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

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