Semi-automatic metadata extraction from imagery and cartographic data

Díaz, Laura; Martin, Charity K.; Gould, Michael; Granell, Carlos; Manso, Miguel Ángel

doi:10.1109/igarss.2007.4423488

Cited by 6 publications

(5 citation statements)

References 1 publication

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“…Several works exist that discuss how to wrap geoprocessing operations implemented within GIS with a web service interface. For example (Brauner, 2008) gives a methodology on how to wrap geoprocessing tools implemented in GRASS-GIS (Neteler & Mitasova, 2002) behind a WPS interface or (Díaz, Costa, Granell, & Gould, 2007) show how to model geoprocessing services for water resource management applications.…”

Section: Introductionmentioning

confidence: 99%

Formalizing Cross-Parameter Conditions for Geoprocessing Service Chain Validation

Fitzner

2011

International Journal of Applied Geospatial Research

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Geoprocessing operations offered via web services provide the means for building complex web-based geospatial applications. Often, certain postconditions such as the spatial reference system, bounding box, schema or quality that hold on the output dataset after the execution of a geoprocessing service are determined and derived from the properties of the inputs passed to the service. Further, geoprocesses often hold preconditions that relate to more than one input, such as the requirement that all inputs must have the same schema. Within current process descriptions for geoprocessing operations, such conditions which we call cross-parameter conditions, can not be explicitly specified. In this paper, the author gives an approach to formalize such cross input-output and cross input parameter conditions in a rule-based language. Further, the author proposes an algorithm for deriving pre- and postconditions for a service composition or workflow out of the pre- and postconditions of the services involved, allowing a more automated handling of workflows in general.

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Section: Introductionmentioning

confidence: 99%

Formalizing Cross-Parameter Conditions for Geoprocessing Service Chain Validation

Fitzner

2011

International Journal of Applied Geospatial Research

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“…For example, by querying the catalogue service with the keyword "NDVI" one obtains as a results the number of datasets (343), series (8) and services (1) available for the data theme NDVI_MODIS. The temporal extent of the data is 2011-2015 and the semantic extent is represented by a set of free keywords or originating from controlled vocabularies.…”

Section: The Catalogue Service Access Pointmentioning

confidence: 99%

“…Metadata extraction and harvesting were acknowledged in both communities as two key methods for automating spatial metadata creation and updating [10]. Researchers in [7][8][9]51] address automatic generation of metadata by metadata inference, the ability to infer complete metadata description, ascending or descending through aggregation relations. In [8], the authors discussed on-going developments for semi-automatic metadata extraction from well-known imagery and cartographic data source, where internal metadata were collected automatically and the user could then choose to add external metadata, and to publish the final metadata record to catalogues.…”

Section: Related Workmentioning

confidence: 99%

“…Researchers in [7][8][9]51] address automatic generation of metadata by metadata inference, the ability to infer complete metadata description, ascending or descending through aggregation relations. In [8], the authors discussed on-going developments for semi-automatic metadata extraction from well-known imagery and cartographic data source, where internal metadata were collected automatically and the user could then choose to add external metadata, and to publish the final metadata record to catalogues. The research work of [34] proposes automatic generation of semantics-enabled GD metadata generated, validated, and propagated during the materialization of a virtual data product.…”

Section: Related Workmentioning

confidence: 99%

“…This task must be carried out each time a new GD is published in a SDI, and it must be periodically performed in the case of time series of geospatial data. To address this activity, we propose an original automation of the workflow for Web deployment of both GD sets and time series, and the creation and updating of metadata based on a semi-automatic procedure [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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

Bordogna

Kliment

Frigerio

et al. 2016

IJGI

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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.

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Discovery and Integration of Web 2.0 Content into Geospatial Information Infrastructures: A Use Case in Wild Fire Monitoring

Núñez-Redó

Díaz

Gil

et al. 2011

Lecture Notes in Computer Science

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Efficient environment monitoring has become a major concern for society to guarantee sustainable development. For instance, forest fire detection and analysis is important to provide early warning systems and identify impact. In this environmental context, availability of up-to-date information is very important for reducing damages caused. Environmental applications are deployed on top of Geospatial Information Infrastructures (GIIs) to manage information pertaining to our environment. Such infrastructures are traditionally top-down infrastructures that do not consider user participation. This provokes a bottleneck in content publication and therefore a lack of content availability. On the contrary mainstream IT systems and in particular the emerging Web 2.0 Services allow active user participation that is becoming a massive source of dynamic geospatial resources. In this paper, we present a web service, that implements a standard interface, offers a unique entry point for spatial data discovery, both in GII services and web 2.0 services. We introduce a prototype as proof of concept in a forest fire scenario, where we illustrate how to leverage scientific data and web 2.0 content.

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Semi-automatic metadata extraction from imagery and cartographic data

Cited by 6 publications

References 1 publication

Formalizing Cross-Parameter Conditions for Geoprocessing Service Chain Validation

Formalizing Cross-Parameter Conditions for Geoprocessing Service Chain Validation

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

Discovery and Integration of Web 2.0 Content into Geospatial Information Infrastructures: A Use Case in Wild Fire Monitoring

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