SYNERGY OF SATELLITE REMOTE SENSING AND SENSOR NETWORKS ON GEO GRID

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1 SYNERGY OF SATELLITE REMOTE SENSING AND SENSOR NETWORKS ON GEO GRID National Institute of Advanced Industrial Science and Technology, Japan Yoshio Tanaka (on behalf of AIST GEO Grid team)

2 Contents Brief introduction of GEO Grid An use case Heat island analysis OGC (Open Geospatial Consortium) standard for sensor net Sensor Web Enablement Virtual Organization to integrate satellite imagery and sensor net

3 3 What is the GEO Grid? The GEO (Global Earth Observation) Grid is aiming at providing an E-Science Infrastructure for worldwide Earth Sciences communities to accelerate GEO sciences based on the concept that relevant data and computation are virtually integrated with a certain access control and ease-of-use interface those are enabled by a set of Grid and Web service technologies. AIST: OGF Gold sponsor (a founding member) AIST: OGC Associate member (since 2007) Satellite Data Map Geo* Contents GIS data Field data Grid Technologies Resources Geology Applications Environment Disaster mitigation

4 4 GEO Grid Applications Contents Disaster mitigation Environment monitoring Natural resource exploration Satellite Imagery Land slides, flood Global warming, CO 2 flux estimation Oil, Gas Full L0 ASTER on disk MODIS on disk (East Asia) Geology archives Japan, SE Asia Sensors AsiaFlux, Field server IT Infrastructure Software Hardware Security, data access, service registry, resource mgmt., Weg GIS, Workflow, U/I Portal, etc. Storage, Servers Cluster computers

5 A Workflow example Disaster prevention and mitigation (Volcano) Monitoring of crustal deformation by PALSAR In-situ observations e.g. growth of a lava dome Hazard Map for Evacuation planning PALSAR ASTER High resolution DEM provided from ASTER Simulation of lava and/or pyroclastic flow on GEO Grid 5

6 6 Overview and usage model of the GEO Grid system

7 Targets of GEO Grid Sensor network PEN SensorML/SOS Raster DATA Satellite imagery ASTER MODIS PALSAR GeoTiff/WCS GIS dataset Geological maps Roads,railways, etc GML/WFS Sensor DATA Vector DATA

8 A sample application - Heat Island Analysis- Multiple satellite imagery Thermal imaging by ASTER (Japan) Landcover classification by Formosat-2 (Taiwan) In-situ sensor data Temperature Humidity

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10 Surface Classification Map Formosat-2 Urban Road Water Bare soil Short grass Tall grass Bush Forest

11 Only 1 station in 1 scene (60kmx60km)! Satellite data Study area Tainan, Taiwan ASTER 2000 / 3 / 6 Formosat / 7 / 12 Meteorological data Tainan 2000 / 3 / 6 Meteorological Station No Amedas-like data available in rapidly developing asian cities

12 Net radiation Rn Sensible heat H Latent heat LE Storage W/mheat 2 DG W/m W/m 2 Heat Island Analysis by ASTER, Formosat-2 and a ground-based sensor W/m 2

13 We need international standard to Quickly discover sensors and sensor data (secure or public) that can meet my needs location, observables, quality, ability to task Obtain sensor information in a standard encoding that is understandable by me and my software Readily access sensor observations in a common manner, and in a form specific to my needs Task sensors, when possible, to meet my specific needs Subscribe to and receive alerts or notification when a sensor measures a particular phenomenon, or completes a task

14 OGC Sensor Web Enablement Satellite-borne Imaging Device Traffic Monitoring Environmental Monitor Airborne Imaging Device Webcam Health Monitor Copyright 2007, Open Geospatial Consortium, Inc., All Rights Reserved.

15 Specifications for Sensor Web Enablement Web Services Sensor Observations Service (SOS) Standard web service interface for requesting, filtering, and retrieving observations and sensor system information Sensor Planning Service (SPS) Standard web service interface for requesting userdriven acquisitions and observations Sensor Alert Service (SAS) Standard web service interface for publishing and subscribing to alerts from sensors Web Notification Services (WNS) Standard web service interface for asynchronous delivery of messages or alerts from SAS and SPS web services and other elements of service workflows

16 Specifications for Sensor Web Enablement Information Models and Schema Observations & Measurements (O&M) Standard models and XML Schema for encoding observations and measurements from a sensor, both archived and real-time Sensor Model Language (SensorML) Standard models and XML Schema for describing sensors systems and processes Transducer Model Language (TransducerML or TML) The conceptual model and XML Schema for describing transducers and supporting real-time streaming of data to and from sensor systems

17 Field Observation Network (FON) VO Satellite Data Calibration Auxiliary data Auxiliary data Auxiliary data Auxiliary data Validation Satellite Sensor Products Ground-based data Global products Global carbon cycle Climate change predictions Evaluation of global warming etc

18 Atmospheric Parameters Ground physical parameters Atmosphere Ground Satellite sensor products Data View Service Sensor Observation Service (SOS) Search results Observation Period Station ID Atmospheric parameters Sensor name Users Satellite Sensors Field Sensors

19 Future work Launch FON VO (very shortly) Workflow with WPS (Web Processing Service) International/Domestic collaboration (e.g., PRAGMA) More applications Bridging GRID (OGF) and GIS (OGC) communities