Systems and methods for advanced rapid imaging and analysis for earthquakes

Patent metadata

Field	Value
Publication number	US-2016047940-A1
Application number	US-201514828348-A
Country	US
Kind code	A1
Filing date	Aug 17, 2015
Priority date	Aug 15, 2014
Publication date	Feb 18, 2016
Grant date	—

Abstract

Many embodiments provide a hybrid data processing system (HySDS) of an end-to-end geodetic imaging data system enabling near-real-time science, assessment, response, and rapid recovery. The HySDS may be an operation data processing system that integrates data from many different geodetic data sources and/or sensors, including interferometric synthetic aperture radar (InSAR), GPS, pixel tracking, seismology, and/or modeling, and processes the data to generate actionable high quality science data products. The HySDS may provide for an automated imaging and analysis capabilities that is able to handle the imminent increases in raw data from new and existing geodetic monitoring sensor systems.

First claim

What is claimed is:

1 . A hybrid data system (HySDS) for processing geodetic data, the HySDS comprising:
an on-premise cloud science data system infrastructure that communicates with an external cloud-based system infrastructure, the HySDS infrastructure comprising a processor configured to communicate with a memory, wherein the memory contains computer instructions that direct the processor to:
monitor availability of geodetic data from distributed data centers and characterization of the geospatial extents and instrument sensor metadata;
monitor geodetic data sensed by at least one geodetic sensor based on a plurality of parameters, wherein the monitoring comprises analyzing the geodetic data for triggering events;
detect an occurrence of a triggering event based on the monitoring of the geodetic data;
determine a time threshold by which at least one high level data product is to be generated upon occurrence of the triggering event;
determine that the current available resources of the HySDS are insufficient for processing of the geodetic data and communicate with the cloud-based system infrastructure in order to allocate additional computing resources available on the cloud-based system infrastructure based on an estimate of computing resources needed to process the geodetic data to generate the at least one high level product; and
process the geodetic data using the on-premise and cloud-based infrastructure to generate the at least one high level product.

2 . The HySDS of claim 1 , wherein the geodetic data provides information regarding a ground surface.

3 . The HySDS of claim 1 , wherein the geodetic data measures surface deformations and movement of a ground surface.

4 . The HySDS of claim 1 , wherein the geodetic data is data selected from the group consisting of interferometric synthetic aperture radar data (InSAR), seismic data, and global position data.

5 . The HySDS of claim 4 , wherein the InSAR data measures a signal phase change between a plurality of images over a particular area of a ground surface at different times such that it is able to detect a movement of a point on the ground surface.

6 . The HySDS of claim 5 , wherein the detected phase change is corrected for the amount of delay caused by tropospheric water vapor, using GPS array and weather model data.

7 . The HySDS of claim 1 , wherein the triggering event is an imminent increase in volume of geodetic data.

8 . The HySDS of claim 1 , wherein the triggering event is a disaster that causes a land deformation in a particular region.

9 . The HySDS of claim 8 , wherein the disaster is a disaster selected from the group consisting of a fire, an earthquake, a tsunami, a tornado, a hurricane, a volcanic event, a flood, a mud-slide, and a terrorist attack.

10 . The HySDS of claim 9 , wherein the disaster is an earthquake, wherein the geodetic data provides deformation measurements that allow for computing a location and extent of a fault rupture.

11 . The HySDS of claim 1 , wherein the high level product is selected from the group consisting of a damage proxy map, an interferogram, a time series velocity map, a coherence map, and an advisory alert.

12 . The HySDS of claim 1 , wherein the high level product is a damage proxy map, wherein the memory further directs the processor to obtain data from a plurality of devices regarding statuses of a plurality of regions within the damage proxy map.

13 . The HySDS of claim 12 , wherein a status of a region in a damage proxy map is selected from the group consisting of damaged, undamaged, uncertain, damaged and verified, and undamaged and verified.

14 . The HySDS of claim 1 , wherein the memory further directs the processor to integrate data from a plurality of geodetic data sensors.

15 . The HySDS of claim 1 , wherein the plurality of parameters for monitoring the geodetic data is specified by a user.

16 . The HySDS of claim 1 , wherein determining that the current available resources of the HySDS are insufficient for processing the geodetic data further comprises detecting an imminent increase in data from the plurality of geodetic sensors.

17 . The HySDS of claim 1 , wherein the cloud-based system infrastructure is provided by an external provider.

18 . The HySDS of claim 1 , wherein the memory further directs the processor to integrate geodetic data from a plurality of geodetic data systems and processing the integrated geodetic data to generate at least one high level product.

19 . The HySDS of claim 1 , wherein the memory further directs the processor to:
determine that a set of currently available resources of the cloud-based infrastructure are not being used; and scale down the cloud-based infrastructure to release the set of unused resources back to an on-premise or external provider.

20 . The HySDS of claim 1 , wherein the cloud-based system infrastructure monitors the geodetic data being sensed by the at least one geodetic sensor.

21 . The HySDS of claim 1 , wherein processing the geodetic data comprises concurrently using a plurality of processors of the on-premise and cloud-based system infrastructures.

22 . The HySDS of claim 1 , wherein the memory further directs the processor to:
retrieve geodetic data from an archive database upon detecting the occurrence of the triggering event; and process the retrieved geodetic data and new incoming geodetic data to generate the at least one high level product.

23 . The HySDS of claim 22 , wherein the retrieved geodetic data comprises InSAR data for a particular region prior to the occurrence of the triggering event.

24 . The HySDS of claim 1 , wherein the memory further directs the processor to publish the at least one high level product, wherein the at least one high level product is accessible by a user.

Assignees

• California Inst Of Techn

Inventors

• Owen Susan Ethel
• Moore Angelyn W
• Liu Zhen
• Yun Sang Ho
• Hua Hook Kian
• Sacco Gian Franco
• Stough Timothy M
• Redulescu Costin
• Fielding Eric J
• Rosen Paul A
• Webb Frank H
• Cruz Jennifer W
• Simons Mark
• Agram Piyush Shanker
• Lundgren Paul Randall
• Manipon Gerald John Maramba
• Starch Michael David
• Wilson Brian

Classifications

• G01V11/00 Primary

  Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00 · CPC title

• G01V1/288 Primary

  Event detection in seismic signals, e.g. microseismics (G01V1/36 takes precedence) · CPC title

• G01V1/01

  Measuring or predicting earthquakes · CPC title