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Remote Sensing in Social Science Research

Hall, Ola LU (2010) In The Open Remote Sensing Journal 3. p.1-16
Abstract
Since the early days of satellite remote sensing in the 1950’s, accessibility, quality, and scope of remote sensing image data has been continuously improving, making it a rich data source with a wide range of applications. Today, the use of remote sensing techniques and data is commonplace within many disciplines in the natural sciences. Although there are quite a few examples of remote sensing to be found in the social sciences, developments here have, on the whole, been less pronounced. This paper investigates 1) how remote sensing data has been put to use in social science studies, and 2) how social science could better utilize the huge potential of remote sensing data. The first part of the paper gives an overview of existing types of... (More)
Since the early days of satellite remote sensing in the 1950’s, accessibility, quality, and scope of remote sensing image data has been continuously improving, making it a rich data source with a wide range of applications. Today, the use of remote sensing techniques and data is commonplace within many disciplines in the natural sciences. Although there are quite a few examples of remote sensing to be found in the social sciences, developments here have, on the whole, been less pronounced. This paper investigates 1) how remote sensing data has been put to use in social science studies, and 2) how social science could better utilize the huge potential of remote sensing data. The first part of the paper gives an overview of existing types of remote sensing techniques and data collection. The second part consistsof a review of social science applications of remote sensing data. In the conclusions it is argued that remote sensing data is at its most valuable in the social sciences when used in combination with traditional methods such as surveys, public records, interviews and direct observation. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
The Open Remote Sensing Journal
volume
3
pages
16 pages
publisher
Bentham Science Publishers
ISSN
1875-4139
DOI
10.2174/1875413901003010001
language
English
LU publication?
yes
id
81f96397-4b19-4145-852a-ed561eb5e3b7 (old id 2372965)
alternative location
http://www.benthamscience.com/open/tormsj/articles/V003/1TORMSJ.pdf
date added to LUP
2012-04-17 23:07:43
date last changed
2018-05-29 10:06:21
@article{81f96397-4b19-4145-852a-ed561eb5e3b7,
  abstract     = {Since the early days of satellite remote sensing in the 1950’s, accessibility, quality, and scope of remote sensing image data has been continuously improving, making it a rich data source with a wide range of applications. Today, the use of remote sensing techniques and data is commonplace within many disciplines in the natural sciences. Although there are quite a few examples of remote sensing to be found in the social sciences, developments here have, on the whole, been less pronounced. This paper investigates 1) how remote sensing data has been put to use in social science studies, and 2) how social science could better utilize the huge potential of remote sensing data. The first part of the paper gives an overview of existing types of remote sensing techniques and data collection. The second part consistsof a review of social science applications of remote sensing data. In the conclusions it is argued that remote sensing data is at its most valuable in the social sciences when used in combination with traditional methods such as surveys, public records, interviews and direct observation.},
  author       = {Hall, Ola},
  issn         = {1875-4139},
  language     = {eng},
  pages        = {1--16},
  publisher    = {Bentham Science Publishers},
  series       = {The Open Remote Sensing Journal},
  title        = {Remote Sensing in Social Science Research},
  url          = {http://dx.doi.org/10.2174/1875413901003010001},
  volume       = {3},
  year         = {2010},
}