Transcript Geosciences Updates

GEO WG updates
PRAGMA17@Hanoi
Resource WG established the
GEO group in PRAGMA VO
• GEO WG members easily make
registration
• Registered members can access to ASTER
and Formosat-2 data as demonstrated by
Naotaka yeseterday
Demo Environments - login
USER
1. input username and pass of user cert
PRAGMA VO portal
http://gfm49.apgrid.org/gridsphere/
voms
proxy cert
4. register proxy cert
Credential
Repository
2. generate globus
proxy certificate
PRAGMA VOMS
3. add voms attribute
Collaboration with GLEON
• Cyber infrastructure to support limnology
• Secure and privileged data access to ASTER/F-2 data (optionally
MODIS)
• Standard data search/access through OGC protocols
• Common visualization tools to integrate remote sensing and in-situ
data
• Automatic match-up with ground water truth data
• Large-scale computations
• Atmospheric corrections
• Full scale simulations of lake metabolism assimilating satellite data
Demo Environments - SIMS (ASTER+Formsat2)
Java Program
Integration
AIST Framework
with OGSA-DAI
OGSA-DAI Client
SQL
SQL
SQL
SQL
ApplicationGlobus VOMS
OGSAServer
DAI
SQL
w/ JDBC
Database Server
(Sybase)
FORMOSAT-2
In DIMAP
SQL
VOMS Globus
OGSA- OGSADAI SQL DAI
w/ JDBC
NCHC
AIST
Database Server
(PostGIS)
ASTER/MODIS in HDF
SIMS – Search Results
FORMOSAT-2
MODIS
ASTER
ASTER + Formosat2 /
OpenLayers
ASTER / Japan
Formosat2 / Taiwan
Synergy between Satellite imagery and in-situ data
ASTER temperature map
In-situ temperature measurements
Observed data : Lake Kagumigaura ASTER acquisition date
Location Map
2001.8.16
2002.3.12
2004.7.7
2005.12.17
★：Observed Point of Water Temperature
Longitude :E140° 22.85’
Latitude : N36° 00.22’
Observation time interval: 1 hour
2006.5.1
MCSST using ASTER TIR - Observed water temperature
in Lake Kasumigaura
35
Observed water temperature
30
y = 0.9596x + 0.1013
R2 = 0.9928
25
20
15
10
5
0
0
5
10
15
20
25
30
35
MCSST using ASTER TIR
MCSST: Multi-Channel Sea Surface temperature
MCSST = 1.16 - 1.07*T10 + 0.49*T11 + 1.13*T12 +
0.78*T13 - 0.32*T14
Synergy of satellite and field data
LN ChlA from in-situ buoy on the
lake
2.5
y = 3.5833x - 4.494
R² = 0.995
2
1.5
Lake Rotoiti
Crater
1
Lake Okareka
0.5
SOS=Sensor Net
WPS= Satellite data processing
Lake
Rotorua
Lake Rotoiti
Narrows
0
1.3
1.4
1.5
1.6
1.7
1.8
1.9
Band ratio from Satellite imagery
Accurate water quality map production with
GLEON
13
Satellite-Field data Integrator (SFI)
Based on OGC Standard
(WMS, SOS, WPS)
MODIS->ASTER/F2
Rotorua->Other lakes
Geoscience WG
• Day 1
– “Computational solution to the air pollution
physics & chemistry in modern dense &
compact cities” by Wai Chi CHENG, The
University of Hong Kong
– Ekasit Kijsipongse, NECTEC , Thailand
– A.B.M. Russel, VeRSI
– “Satellite-Field Data Integrator” by Sarawut
Ninsawat, AIST, Japan
– “Update of 3D-GIS Taiwan”, NARL
Day 2:
Joint session of Telescience and
Resource WG
– SOS interoperability experiments with more
GLEON sites and LiveE!
– GPS mobile-phone as a sensor
– How to register GLEON users in PRAGMA
VO to promote more collaboration?
– More collaboration with another community?
(Next PRAGMA will be held at San Diego with
Coral Reef Observation Network=CREON)
GEO Grid VO design
GAMA/VOMS (Resource)
OGC standard (GEO/Telesciences)