The View from Above: Applications of Satellite Data in Economics.

The past decade or so has seen a dramatic change in the way that economists can learn by watching our planet from above. A revolution has taken place in remote sensing and allied fields such as computer science, engineering, and geography. Petabytes of satellite imagery have become publicly accessib...

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Publicado en:Journal of Economic Perspectives Vol. 30; no. 4; pp. 171 - 199
Autores principales: Donaldson, Dave, Storeygard, Adam
Formato: Artículo
Publicado: American Economic Association Fall2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: The View from Above: Applications of Satellite Data in Economics.
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          Donaldson, Dave
          Storeygard, Adam
        affil:
          Dave Donaldson is Associate Professor of Economics, Stanford University, Stanford, California.
          Adam Storeygard is Assistant Professor of Economics, Tufts University, Medford, Massachusetts. )
      su:
        Economists
        Remote-sensing images
        Artificial satellites
        Computer science
        Algorithms
        Imaging systems
      sug:
        subj:
          Economists
          Space Research and Technology
          Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
          Research and development in the physical, engineering and life sciences
          Photographic and Photocopying Equipment Manufacturing
          Computer Terminal and Other Computer Peripheral Equipment Manufacturing
          Remote-sensing images
          Artificial satellites
          Computer science
          Algorithms
          Imaging systems
      ab: The past decade or so has seen a dramatic change in the way that economists can learn by watching our planet from above. A revolution has taken place in remote sensing and allied fields such as computer science, engineering, and geography. Petabytes of satellite imagery have become publicly accessible at increasing resolution, many algorithms for extracting meaningful social science information from these images are now routine, and modern cloud-based processing power allows these algorithms to be run at global scale. This paper seeks to introduce economists to the science of remotely sensed data, and to give a flavor of how this new source of data has been used by economists so far and what might be done in the future.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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