Web Services for Big Earth Observation data

نویسندگان

  • Lúbia Vinhas
  • Gilberto Ribeiro de Queiroz
  • Karine Reis Ferreira
  • Gilberto Câmara
چکیده

The aim of geospatial web services is to enable users to share and process geospatial data on the Web, no matter what platform or protocol is used. In this paper, we investigate what are the design decisions needed to implement web services for big Earth observation (EO) data. The focus of the work is discussing what is unique about big EO data and why current standards are unsuitable for big EO data analytics. Instead, simpler APIs can be more effective for accessing big EO data than generic services such as WMS and WCS, specially for data analytics. We support this viewpoint by describing the WTSS Web Time Series Service that offers time series of remote sensing data using a simple API and is suited for big data analytics.

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تاریخ انتشار 2016