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

Gabriela Ifimov; Grace Pigeau; J. Pablo Arroyo-Mora; Raymond Soffer; George Leblanc

doi:10.1117/12.2278510

5 October 2017 A geospatial database model for the management of remote sensing datasets at multiple spectral, spatial, and temporal scales

Gabriela Ifimov, Grace Pigeau, J. Pablo Arroyo-Mora, Raymond Soffer, George Leblanc

Author Affiliations +

Proceedings Volume 10428, Earth Resources and Environmental Remote Sensing/GIS Applications VIII; 104281Q (2017) https://doi.org/10.1117/12.2278510
Event: SPIE Remote Sensing, 2017, Warsaw, Poland

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.

Citation Download Citation

Gabriela Ifimov, Grace Pigeau, J. Pablo Arroyo-Mora, Raymond Soffer, and George Leblanc "A geospatial database model for the management of remote sensing datasets at multiple spectral, spatial, and temporal scales", Proc. SPIE 10428, Earth Resources and Environmental Remote Sensing/GIS Applications VIII, 104281Q (5 October 2017); https://doi.org/10.1117/12.2278510

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Databases

Data modeling

Remote sensing

Field spectroscopy

Calibration

Data storage

Hyperspectral imaging

Show All Keywords

Keywords/Phrases

Search In:

Publication Years