A geospatial database model for the management of remote sensing datasets at multiple spectral, spatial and temporal scales

From National Research Council Canada

DOI	Resolve DOI: https://doi.org/10.1117/12.2278510
Author	Search for: Ifimov, Gabriela¹ ; Search for: Pigeau, Grace; Search for: Arroyo-Mora, J. Pablo¹ ; Search for: Soffer, Raymond¹ ; Search for: Leblanc, George¹
Name affiliation	National Research Council Canada. Aerospace
Format	Text
Type	Article
Proceedings title	Earth Resources and Environmental Remote Sensing/GIS Applications VIII
Series title	Proceedings of SPIE; no. 10428
Conference	Earth Resources and Environmental Remote Sensing/GIS Applications, 12-14 September, 2017, Warsaw, Poland
ISSN	0277-786X 1996-756X
Article number	10428-62
Abstract	In this study the development and implementation of a geospatial database model for the management of multiscale datasets encompassing airborne imagery and associated metadata is presented. To develop the multi-source geospatial database we have used a Relational Database Management System (RDBMS) on a Structure Query Language (SQL) server which was then integrated into ArcGIS and implemented as a geodatabase. The acquired datasets were compiled, standardized, and integrated into the RDBMS, where logical associations between different types of information were linked (e.g. location, date, and instrument). Airborne data, at different processing levels (digital numbers through geocorrected reflectance), were implemented in the geospatial database where the datasets are linked spatially and temporally. An example dataset consisting of airborne hyperspectral imagery, collected for inter and intra-annual vegetation characterization and detection of potential hydrocarbon seepage events over pipeline areas, is presented. Our work provides a model for the management of airborne imagery, which is a challenging aspect of data management in remote sensing, especially when large volumes of data are collected.
Publication date	2017-10-05
Publisher	Society of Photo-Optical Instrumentation Engineers (SPIE)
Terms of use	Permission is granted to temporarily download one copy of the materials for personal, noncommercial transitory viewing only. NRC Publications Archive - Copyright and terms of use
Language	English
Peer reviewed	Yes
NPARC number	23002294
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Record identifier	50487621-e175-48cf-ac41-c3556808bb2c
Record created	2017-10-11
Record modified	2018-04-24

Date modified:: 2019-03-20

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