Remote Sensing and Socioeconomic Data Integration: Lessons from the NASA Socioeconomic Data and Applications Center

Authored by: Dale A. Quattrochi , Elizabeth A. Wentz , Nina Siu-Ngan Lam , Charles W. Emerson , Alex de Sherbinin

Integrating Scale in Remote Sensing and GIS

Print publication date:  January  2017
Online publication date:  January  2017

Print ISBN: 9781482218268
eBook ISBN: 9781315373720
Adobe ISBN:

10.1201/9781315373720-14

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Abstract

The combination of remote sensing and socioeconomic data layers in geographic information system (GIS) packages and models for human-environment research has become commonplace in the past two decades [1, 2]. The possibilities of integrating spatial data only arose as technology made it possible to process large data files in a common spatial framework. In the predigital era, similar work was performed through acetate overlays of multiple map layers. Early GIS packages such as IDRISI and ArcINFO opened up new areas for research and applied uses of data from multiple sources.

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