DocumentCode :
144414
Title :
Contextualising imagery: Conceptual design for a virtual laboratory for environmental accounting and resource management (vLEARM)
Author :
Tickle, Phil ; Tai On Chan ; Lowell, Kim
Author_Institution :
Coop. Res. Centre for Spatial Inf. (CRCSI), Australia
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
5195
Lastpage :
5198
Abstract :
vLEARM - the Virtual Laboratory for Environmental Accounting and Resource Management - is a high-level system design for environmental accounting in Australia. vLEARM provides for the use of multiple data layers - including those that are not image-based - held in the Source Data Layer via integrative functionality in the Common Raster Data Layer. The Business Logic Layer converts raster data into user-driven environmental information through SQL queries, combinatorial algorithms, and temporal landscape models. Finally, the Presentation and Federation Layer enhances and broadens use by managing functionality across multiple platforms and/or within the Cloud, and providing a “workbench” interface that enables custom workflows to be implemented without high-level IT expertise. It is estimated that the development of a fully functional system based on the vLEARM concept will require five to 10 years. Once produced, such a system will significantly contribute realising the full value of past and future investments in digital imagery.
Keywords :
data integration; resource allocation; SQL queries; business logic layer; combinatorial algorithms; common raster data layer; conceptual design; contextualising imagery; custom workflows; digital imagery; environmental accounting; high level IT expertise; high level system design; integrative functionality; multiple data layers; resource management; source data layer; temporal landscape models; user-driven environmental information; vLEARM; virtual laboratory; Australia; Communities; Earth; Industries; Investment; Remote sensing; Spatial databases; data integration; environmental accounting; image delivery; vLEARM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947669
Filename :
6947669
Link To Document :
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