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ISPRS Int. J. Geo-Inf. 2016, 5(5), 73; doi:10.3390/ijgi5050073

A Spatial Data Infrastructure Integrating Multisource Heterogeneous Geospatial Data and Time Series: A Study Case in Agriculture

1
Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy (CNR-IREA), via Bassini 15, 20133 Milano, Italy
2
Institute for the Dynamics of Environmental Processes, National Research Council of Italy (CNR-IDPA), piazza della Scienza 1, U1, 20126 Milano, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Kathleen Stewart, Alexander Klippel and Wolfgang Kainz
Received: 4 January 2016 / Revised: 4 May 2016 / Accepted: 9 May 2016 / Published: 21 May 2016
(This article belongs to the Special Issue Geographic Information Retrieval)
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Abstract

Currently, the best practice to support land planning calls for the development of Spatial Data Infrastructures (SDI) capable of integrating both geospatial datasets and time series information from multiple sources, e.g., multitemporal satellite data and Volunteered Geographic Information (VGI). This paper describes an original OGC standard interoperable SDI architecture and a geospatial data and metadata workflow for creating and managing multisource heterogeneous geospatial datasets and time series, and discusses it in the framework of the Space4Agri project study case developed to support the agricultural sector in Lombardy region, Northern Italy. The main novel contributions go beyond the application domain for which the SDI has been developed and are the following: the ingestion within an a-centric SDI, potentially distributed in several nodes on the Internet to support scalability, of products derived by processing remote sensing images, authoritative data, georeferenced in-situ measurements and voluntary information (VGI) created by farmers and agronomists using an original Smart App; the workflow automation for publishing sets and time series of heterogeneous multisource geospatial data and relative web services; and, finally, the project geoportal, that can ease the analysis of the geospatial datasets and time series by providing complex intelligent spatio-temporal query and answering facilities. View Full-Text
Keywords: Spatial Data Infrastructure (SDI); Geospatial Data (GD); time series; Volunteered Geographic Information (VGI); metadata; Smart App; geoportal; agriculture Spatial Data Infrastructure (SDI); Geospatial Data (GD); time series; Volunteered Geographic Information (VGI); metadata; Smart App; geoportal; agriculture
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bordogna, G.; Kliment, T.; Frigerio, L.; Brivio, P.A.; Crema, A.; Stroppiana, D.; Boschetti, M.; Sterlacchini, S. A Spatial Data Infrastructure Integrating Multisource Heterogeneous Geospatial Data and Time Series: A Study Case in Agriculture. ISPRS Int. J. Geo-Inf. 2016, 5, 73.

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