Title: Next-generation geospatial-temporal information technologies for disaster management

Journal Article · · IBM Journal of Research and Development

Traditional geographic information systems (GIS) have been disrupted by the emergence of Big Data in the form of geo-coded raster, vector, and time-series Internet-of-Things data. This article discusses the application of new scalable technologies that go far beyond relational databases and file-based storage on spinning disk or tape to incorporate both storage and processing data in the same platform. The roles of the Apache Hadoop Distributed File Systems and NoSQL key-value stores such as the Apache Hbase are discussed, along with indexing schemes that optimally support geospatial-temporal use. Here, we highlight how this new approach can rapidly search multiple GIS data layers to obtain insights in the context of early warning, impact evaluation, response, and recovery to earthquake and wildfire disasters.

Research Organization:
Johns Hopkins University, Baltimore, MD (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
Grant/Contract Number:
EE0008215
OSTI ID:
1991276
Journal Information:
IBM Journal of Research and Development, Journal Name: IBM Journal of Research and Development Journal Issue: 1/2 Vol. 64; ISSN 0018-8646
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

References (31)

A versatile data-intensive computing platform for information retrieval from big geospatial data journal April 2018
Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards journal June 2005
Satellite-based damage mapping following the 2006 Indonesia earthquake—How accurate was it? journal December 2010
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping journal July 2018
Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services journal May 2012
Mapping burned areas using dense time-series of Landsat data journal September 2017
Machine Learning Can Predict the Timing and Size of Analog Earthquakes journal February 2019
Fire science for rainforests journal February 2003
Hurricanes and global warming journal December 2005
High-resolution mapping of global surface water and its long-term changes journal December 2016
Science to prevent disasters journal January 2014
Deep learning of aftershock patterns following large earthquakes journal August 2018
Wildland surface fire spread modelling, 1990 - 2007. 2: Empirical and quasi-empirical models journal January 2009
Wildland surface fire spread modelling, 1990 - 2007. 1: Physical and quasi-physical models journal January 2009
Wildland surface fire spread modelling, 1990 - 2007. 3: Simulation and mathematical analogue models journal January 2009
LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment journal January 2009
PAIRS: A scalable geo-spatial data analytics platform conference October 2015
Fusion of satellite images in urban area: Assessing the quality of resulting images conference June 2010
The community seismic network and quake-catcher network: enabling structural health monitoring through instrumentation by community participants conference April 2013
Convolutional neural network for earthquake detection and location journal February 2018
High-Resolution Global Maps of 21st-Century Forest Cover Change journal November 2013
Earthquake shakes Twitter users: real-time event detection by social sensors conference January 2010
Exploring venue-based city-to-city similarity measures conference August 2013
Wildfire: Approximate synchronization of parameters in distributed deep learning journal July 2017
Thermal Infrared Anomalies of Several Strong Earthquakes journal January 2013
The Quake-Catcher Network: Citizen Science Expanding Seismic Horizons journal January 2009
The Rothermel surface fire spread model and associated developments: A comprehensive explanation report January 2018
Evaluation of Spectral Indices for Assessing Fire Severity in Australian Temperate Forests journal October 2018
Rapid Damage Assessment by Means of Multi-Temporal SAR — A Comprehensive Review and Outlook to Sentinel-1 journal May 2014
Flood Prediction Using Machine Learning Models: Literature Review journal October 2018
A global satellite-assisted precipitation climatology journal January 2015