research-article

Emerging trends in monitoring landscapes and energy infrastructures with big spatial data

Authors:

Budhendra Bhaduri,

Dilip Patlolla,

Ranga R. Vatsavai,

Anil Cheriyadat,

Rajasekar KarthikAuthors Info & Claims

SIGSPATIAL Special, Volume 6, Issue 3

Pages 35 - 45

https://doi.org/10.1145/2766196.2766202

Published: 22 April 2015 Publication History

Abstract

Explosion of spatial data from satellite to citizen sensors has posed the critical challenge of Big Spatial Data integration, analysis, and visualization. This article focuses on research and development activities at Oak Ridge National Laboratory (ORNL) that are addressing end-user applications utilizing high performance computing based geospatial science and technology solutions to optimize the analysis, modeling, and multi-megapixel scale visualization of the geospatial data. Specifically we highlight recent developments and successes in the areas of high resolution settlement mapping, transportation and mobility analysis, and effective monitoring of biomass for energy and food security.

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Cited By

Vatsavai RRamachandra BChen ZJernigan J(2019)geoEdgeProceedings of the 8th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data10.1145/3356999.3365468(1-4)Online publication date: 5-Nov-2019
https://dl.acm.org/doi/10.1145/3356999.3365468
Coletti MLunga DBassett JRose A(2019)Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS)10.1109/DLS49591.2019.00010(36-44)Online publication date: Nov-2019
https://doi.org/10.1109/DLS49591.2019.00010
Choi WAhn JShin D(2019)Study on the Development of Geo-Spatial Big Data Service System based on 7V in KoreaKSCE Journal of Civil Engineering10.1007/s12205-018-1764-123:1(388-399)Online publication date: Jan-2019
https://doi.org/10.1007/s12205-018-1764-1
Show More Cited By

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Emerging trends in monitoring landscapes and energy infrastructures with big spatial data

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Information & Contributors

Information

Published In

cover image SIGSPATIAL Special

SIGSPATIAL Special Volume 6, Issue 3

November 2014

50 pages

EISSN:1946-7729

DOI:10.1145/2766196

Editor:
Chi-Yin (Ted) Chow
City University of Hong Kong, Hong Kong

Issue’s Table of Contents

Copyright © 2015 Authors.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 April 2015

Published in SIGSPATIAL Volume 6, Issue 3

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Cited By

Vatsavai RRamachandra BChen ZJernigan J(2019)geoEdgeProceedings of the 8th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data10.1145/3356999.3365468(1-4)Online publication date: 5-Nov-2019
https://dl.acm.org/doi/10.1145/3356999.3365468
Coletti MLunga DBassett JRose A(2019)Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS)10.1109/DLS49591.2019.00010(36-44)Online publication date: Nov-2019
https://doi.org/10.1109/DLS49591.2019.00010
Choi WAhn JShin D(2019)Study on the Development of Geo-Spatial Big Data Service System based on 7V in KoreaKSCE Journal of Civil Engineering10.1007/s12205-018-1764-123:1(388-399)Online publication date: Jan-2019
https://doi.org/10.1007/s12205-018-1764-1
Karthik RSorokine APatlolla DLiu CGupte SBhaduri B(2018)Cyber-Infrastructure for Data-Intensive Geospatial ComputingEarth Observation Open Science and Innovation10.1007/978-3-319-65633-5_7(143-164)Online publication date: 24-Jan-2018
https://doi.org/10.1007/978-3-319-65633-5_7
Sorokine AKarthik RKing ABudhendra B(2016)Big data as a service from an urban information systemProceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data10.1145/3006386.3006391(34-41)Online publication date: 31-Oct-2016
https://dl.acm.org/doi/10.1145/3006386.3006391

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