By Basudeb Bhatta (auth.)
This e-book introduces the general ideas of study equipment in distant Sensing. It additionally addresses the whole learn framework, starting from ontology to documentation. As such, it covers the idea whereas supplying an outstanding foundation for conducting concrete examine actions. it's not meant as a textbook on distant sensing; really, it deals information to these carrying out learn by way of reading philosophical and different matters which are commonly no longer lined by means of textbooks. numerous phases of study are mentioned intimately, together with illustrative discussions and beneficial references. the subjects thought of during this e-book conceal part of the study methodologies explored in grasp of Philosophy (M.Phil.) and health professional of Philosophy (Ph.D.) courses. The book’s actual layout has been stored to a compact, convenient minimal on the way to maximize its accessibility and clarity for a wide diversity of researchers within the box of distant sensing.
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Extra info for Research Methods in Remote Sensing
4 Functions Functions are mappings or transformations applied on remotely sensed images, and can be of many types. Basic image processing functions, such as filtering, principal component transformations, resampling, or interpolation, are familiar to and used by almost all researchers working with remote sensing data. , spatial statistics or spatial metrics. Of more significance here are functions that map the state of earth’s surface can be applied as a process because earth-surface features are not static—they are continuously changing with the change of time.
Having posed these and other questions about the world and the intended research activity, a number of obvious connections to specific research methods will emerge. The first step in remote sensing, as in any scientific study, is the definition of a problem. Due to its multidisciplinary nature, the problems that remote sensing can be applied to are numerous and diverse. In spite of this, the approaches to remote sensing can be categorized as being either scientific or technological in nature. The distinction is primarily a function of the motive behind solving the problem.
A paradigm shift must be wholesale and abrupt. It must be a scientific 28 2 Research Framework revolution. Kuhn’s (1996) motivation for saying this is based on his survey of historical cases, but it could just as well be argued in principle, based on the essentially holistic nature of paradigms. The influence of a paradigm is permanent in that it establishes the appropriate language of the science, the background knowledge against which new ideas are compared, and even the standards by which new experimental results are judged.