VAccess Team Meeting
First Meeting of VAccess Team
19th Floor 301 East Byrd StreetVirginia Economic Development Partnership
Richmond, Virginia
July 9, 2001
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VAccess: A Virtual Remote Sensing Information Access Center
for Regional Applications in the Commonwealth of Virginia
Menas KafatosCEOSR
July, 2001
CEOSR URL: http://www.ceosr.gmu.eduVAccess URL: http://www.VAccess.gmu.edu
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1:00PM Introduction to VAccess Menas Kafatos
Introductions, Overview, Status of VAccess
1:15PM Global EO Data for Regional Applications James McManus
1:25PM H S I Technology, Algorithms and Applications Richard Gomez
1:35PM Environmental Scenarios George Taylor
1:45PM Infrastructure, GIS & Other Tools Ruixin Yang
1:55PM VAccess Process Hank Wolf
2:05PM Landscape Epedemiology Tom Allen
2:25PM Visualization Testbed James Barnes
2:45PM Advanced Analysis Techniques for RS Data Pat McCormick
3:05PM Break
VA julyVAccess Discussions - July 9, 200110th 1
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VAccess Discussions - July 9, 2001
3:20PM Virginia Space Grant Consortium Mary Sandy
3:45PM Interactive Internet GIS/RS Tutorial James Perry
4:05PM Natural Resources Applications Randy Wynne
4:25PM IR Atmospheric Sensor Gaby Laufer
4:45PM Summary: Action Items, TAC Meeting Plans, Schedule Menas Kafatos
5:00PM End of Meeting
5:30PM Optional Dinner Discussions of Any Open Issues
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Earth, Space, Remote Sensing, Data Systems in CEOSR
CEOSR is involved in several space-related interdisciplinary areas•Space Sciences
•Astrophysics•Solar Physics
•Earth Observing & Earth Sciences• Data Information Systems (S-I ESIP Project & Federation)•Satellite Missions
•Aeronomy of Ice in the Mesosphere (AIM) (Phase A:Polar mesospheric Clouds)
•IMAGE (Imaging the Ionosphere; on common platform with GIFTS)
•ARGOS (RAD Hard Computing)
•Remote Sensing for Regional Applications•Hyperspectral•Virtual RS Center for Virginia VAccess
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VAccess:Virtual Remote Sensing Information Access Center:
Providing RS Data & Information Products for Regional Applications in Virginia
•A STATE-WIDE, SATELLITE-DERIVED AND OTHER ENVIRONMENTAL DATA, & INFORMATION PRODUCTS, FOR•LOCAL, REGIONAL & STATE NEEDS WITH USER-DETERMINED NEED FOR STUDIES, INFORMATION, & SOLUTIONS•AN ALLIANCE BETWEEN 6 UNIVERSITIES LED BY CEOSR Initial Funding FY 2001: $1M
•Prototyping an operational alliance of academia, State interests, NASA & the commercial sector
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VAccess: Virtual Remote Sensing Center of Excellence:
Providing RS Data & Information Products for Regional Applications in Virginia
•Partners•GMU•JMU•ODU•Hampton•Virginia Space Grant Consortium
•UVA•VIMS (William & Mary)•VT
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State of Virginia and the Use of Remote Sensing Data
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N a tu ra l H a za rds M a n -M a d e E ve n ts- P la n n ed
- A cc id e n ta l- N e fa rio u s
R e g io n s In te re s ts& V ie w p o in ts
E n v iro nm e n ta l Is su es
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Proposed Initial VAccess Data Sets for Prototyping Applications
Vegetation Products (agriculture & forestry) • AVHRR data from NDVI, LAI, ect. • MODIS 250m, 500m, 1000mPollution runoff-related products (Chesapeake Bay, ect.)• EO-1 (HSI); AVIRIS (HSI); LandsatLU/LC Products• EO-1(HSI); AVIRIS (HSI); LandsatMerged Products• SAR & HSI• HSI & visible (on Orion sounding rocket- possibly for the future)Ocean Products• (possibly) SST data from AVHRR• Sea WiFS (selected products)• Littoral regions (NEMO HSI –future?)Natural Hazards (hurricanes, fires, ect.)• TRMM• GOESHigh Resolution, Commercial, Remote Sensing Data• TBD (in consultation with the Advisory Committee and the NASA Data Buy program)• SPOT (from VDEP and other state agencies)• Ikonos (NASA Data Buy Program)Ground Data• Variety of GIS and other products for complementing RS data
The Utility of AVHRR and MODIS Time-series Data in Remote Sensing Application Studies
James McManusGMU
July 9, 2001
Introduction
The purpose of the talk is to explain how VAccess can utilize data from the
• NOAA’s Advanced Very High Resolution Radiometer (AVHRR) and
• NASA’s Moderate Resolution Imaging Spectrometer (MODIS)
In remote sensing application studies
I will also explain the strengths of this type of data, in land surface applications, relative to higher resolution satellite data.
Polar-Orbiting Operational Environmental Satellites (POES)
• NOAA series began in 1979 with NOAA-6 and continues today with NOAA-16
• Defense Meteorological Satellite Program (DMSP), which began in the 1960’s with more modern instruments being deployed in the 1980’s to present.
• European Remote Sensing Satellites (ERS), began in 1981 with ERS-1 and continuing with ERS-2, which was launched in 1995.
• NASA’s Earth Observation System, began with the launch of Terra (EOS/AM-1) in December 1999 and which will continue with the launch of Aqua (EOS/PM-1) in 2001
• Other satellites include the FY series from china and SeaWiFS, as well as non sun-synchronous satellites such as the Tropical Rainfall Measuring Mission (TRMM)
AVHRR and MODIS are remote sensing instruments flown on board what are commonly referred to as POES type satellites.
POES are Sun-synchronous, polar orbiting, wide field of view, low resolution (250 m to 4-km) satellites that are capable of view the entire earth within a one or two day period
Examples of POES Satellites are:
POES satellites were originally designed for meteorological purposes.
In the mid 1980’s data from the AVHRR instrument, flown on the NOAA series of satellites, began to be used for monitoring vegetation.
• POES daily global coverage enables the monitoring of clouds and other atmospheric meteorological variables that required diurnal data frequency.
• POES data are used in conjunction with data from Geostationary Satellites (GEOS), which do not provide global coverage, to monitor the atmosphere.
• This was partially a reaction to the high cost of data from satellites such as LandSat and SPOT, which are specifically designed to study the land surface.
• In contrast data from the NOAA series as well as NASA’s EOS series are free.
• They also provided data at a temporal frequency and spatial coverage where Global and regional vegetation dynamic studies can be performed.
• Compositing methods have been developed that remove cloud cover, enabling the continuous monitoring of vegetation and other land surface variables, such as temperature, on a bi-weekly bases.
Purpose of POES
Instrument specifics
MODIS is flown on NASA, Terra & Aqualaunches 1999, 2001705 km polar orbit, sun synchronous descending (10:30 a.m.) & ascending (1:30 p.m.), providing 1 to 2 day global coverage
Sensor Characteristics 2300 km (cross track) and 2000 km (5 min. granule along track)
36 spectral bands ranging from 0.41 to 14.385 µmSpatial resolutions:
250 m (bands 1 - 2)500 m (bands 3 - 7)1000 m (bands 8 - 36)
AVHRR is flown on the NOAA series of satelliteLaunch date: 6/23/81 (NOAA-7), 12/12/84 (NOAA-9), 9/24/88 (NOAA-11), 12/30/94 (NOAA-14) Sun synchronous, near polar (98.8 degrees) at 833 km Ascending (14.30 (NOAA-7), 14.20 (NOAA-9), 13.30 (NOAA-11), 13.30 (NOAA-14) LST), providing 1 day global coverage
Sensor Characteristics2700-km (cross track) and 102 minutes orbit period5 spectral bands ranging from 0.58 to 12.5 µmSpatial resolutions:
1.1 km for Local Area Coverage (LAC) and High Resolution Picture Transmission (HRPT) 4 km for Global Area Coverage (GAC)
Utilization of AVHRR and MODIS data to Monitor Vegetation and Other Land Surface Variables
• The +2000-km cross track swath of these instruments, compared to Landsat-7 ETM 185-km swath (16-day repeat cycle), enable data to be collected over the same region on a 1 or 2 day temporal frequency.
• The data is also continually collected for the entire globe, compared to higher resolution satellite data, such as Landsat and SPOT, which selectively choose images.
• As stated previously the higher temporal frequency of the data enables compositing methods to be used that remove cloud cover, resulting in the ability to produce cloud free land surface parameters on a bi-weekly temporal frequency.
• This gives VAccess the opportunity to provide state wide land surface products, supplying information on the condition of vegetation as well as other environmental variables, on a bi-weekly bases.
• This will provide base information to perform a wide variety of environmental studies.
A simple example of a land surface product that can be produced on a bi-weekly bases is the Normalized Difference Vegetation Index (NDVI)
• NDVI is derived from the red and near infrared channels on satellite instruments such as AVHRR and MODIS
NDVI = Rch2 - Rch1/Rch2 + Rch1
where Rch1 is the land surface reflectance in the visible wavelengths (580 to 680 nanometers) and Rch2 is the land surface reflectance in the infrared wavelengths (725 to 1000 nanometers)
• NDVI is Widely Used for Monitoring Global Vegetation Dynamics having been Applied to:
1) Studies of the Global Carbon Cycle2) Modeling the Hydrological Cycle3) Crop monitoring4) UN’s Famine Early Warning System5) Producing a wide variety of other vegetation products including:
Net Primary Production (NPP)Leaf Area Index (LAI)
10-day Composite AVHRR NDVI Image of Virginia, July 1-10, 1992
Example of NDVI Image Derived from AVHRR
AVHRR VS. MODIS
• Both AVHRR and MODIS can be used to produce land surface variables such as:
Surface Temperature, Land Cover, Thermal Anomalies/Fire, Leaf Area Index, Net Primary Production and Vegetation Cover
• MODIS is a more advanced instrument than AVHRR, and as a result can produce more accurate products.
• However it currently has less than two years of data available, this limits its use in vegetation dynamic studies.
• AVHRR has +20 years of data, stretching over multiple satellites
• Efforts such as the NOAA/NASA Pathfinder project have produced calibrated data sets over this entire time period, providing an extremely valuable historical record of the environment.
• The historical record also permits the development of anomaly products, which compare the entire 20 year time period with a specific time, showing anomalies from the mean.
Comparison Between MODIS and AVHRR
The MODIS 250m-resolution multi-spectral observations clearly discriminate different types of vegetation and urban areas in this image. The subsets show MODIS near-infrared band 2 (859nm) at 250m resolution (top right) and the corresponding NOAA14 AVHRR 1km band 2 (bottom right) over the Choptank River and the Cambridge area, in the Delmarva Peninsula.
The improved spatial resolution of MODIS data over the heritage AVHRR data is apparent.
AVHRR Products
Three variations of AVHRR products will be produced
1) Products produced from the NOAA/NASA Pathfinder AVHRR LandPAL 8-km data set, covering the time period from 1981 to the present.
• The PAL data set has been calibrated over the entire temporal range of AVHRR and mapped to a standard projection.
• The daily data has been reconfigured into regional time-series files that will allow new compositing methods to be utilized, improving cloud removal, resulting in more accurate vegetation parameters such as LAI.
2) Products produced, from level-1b data at the original 4-km GAC resolution, covering a shorter time period.
3) Prototype products produced from HRPT data collected at GMU
The products will focus on vegetation and include NDVI, LAI, Land Cover Change and fraction of Absorbed Photosynthetically Active radiation (fAPAR)
Experimental products including Land Surface Temperature, Vegetation Anomalies and Net Primary Production (NPP) will also be explored.
MODIS Products
A wide variety of high level products are currently being produced from MODIS data including:
Surface Temperature, Land Cover, Thermal Anomalies/Fire, Leaf Area Index, Net Primary Production and Vegetation Cover
These products will be acquired for VAccess and technical issues such as map re-projection will be dealt with.
Standard MODIS products that may be useful in monitoring atmospheric pollution and the Chesapeake bay will also be examined.
Data obtained through MODIS’s Direct Broadcast system will be aquired.
Conclusion
Producing and acquiring land surface data sets derived from POES satellites, will enable VAccess to provide state wide products, for the Commonwealth of Virginia, on a bi-weekly bases.
By doing this VAccess will provide base products that can be utilized in a wide variety of Environmental studies and monitoring efforts including:
1) Forest and Agricultural monitoring2) Non-point Pollution runoff Monitoring3) Air Quality studies4) Wetland inventories5) ...
Hyperspectral Imagery (HSI)Technology
VAccess HSI
Project
GMU/SCS/CEOSRDr. Richard B. Gomez
Hyperspectral Imagery
Data of the same scene collected simultaneously from hundreds of spectral bands, and registered on a single format.
A spectral band is a portion of the electromagnetic spectrum over which a sensor detects and measures scene reflections or emissions.
Reflected and Emitted Energy
UV
BLUE
RED
NIR
SWIR
MWIRLWIR
GREEN
What you see is not what you get!
Pushbroom Hyperspectral Sensing
Single Pixel
Spectral Bands
Spatial Pixels
FlightLine
Wavelength
Inte
nsi
ty
Pixel Spectrum
Single Sensor FrameSeries of Sensor Frames
AISA Hyperspectral SystemAISA Hyperspectral System
• Image Space - Geographic Orientation
• N-Dimensional Space - For Use in Pattern Analysis
• Spectral Signatures - Physical Basis for Response
Data Space Data Space RepresentationsRepresentations
A well-managed oil spill response for the Patuxent River in the Chesapeake Bay area serves to:
Protect human life
Develop mitigation processes
Identify vulnerable coastal locations before a spill happens (reduces the environmental consequences of both spills and cleanup efforts)
Establish protection priorities and identify cleanup strategies
Oil Spill Program Objectives
Dr. George Taylor
Remote Sensing and the Environmental Sciences
Goal: Demonstrate and encourage the application of remote sensing technology to pressing and emerging issues in the environmental sciences and policy
Multiple Media– Upland landscapes (e.g., agriculture, forestry, brownfields)– Rivers, Streams and Reservoirs– Estuaries and Wetlands– Bay and Near-Coastal Waters– Atmosphere (air quality)– Integrated and regional systems (e.g., urban-suburban-rural systems
with multiple landscape types)
Premiere Issues in the Environmental Sciences
Wetland ecology and management Contaminants (organic and inorganic) in soil, surface
water, subsurface, and plant/animal Restoration/remediation of contaminated sites Air quality (e.g., nitrogen, ozone, PM) Stress detection and management in managed (e.g.,
forests) and more natural stands of vegetation Invasive species monitoring and management Ecological risk assessment and management
Demonstration Scenarios
Wetland ecology and management
Atmospheric nitrogen deposition and eutrophication in the Chesapeake Bay
Monitoring contaminants in terrestrial landscapes
Stress detection in plant canopies
Ruixin Yang
INFORMATION TECHNOLOGY STRATEGY
Development of science scenarios which drive the content-based searching to serve particular user communities
Web accessibility Content-based browsing Integration of tools accessibility with data set
accessibility to allow meaningful, user-specified queries Integration of freely/easily accessible visualization/ data
mining and analysis tools with relational data base management system
CEOSR
CSI GMU
TempData
Storage
GIS Lab
Web Server
Data Sets
PartnerAlpha
PartnerBeta
KeyGMU-Partners
Software
Hardware
AVHRR Ground Station
Mail Server
FTP Server
VPN Solution
Filer
ApplicationServers
DB Server
Programming
VPN Solution
VAccess Hardware Architecture
Data Analysis and Visualization ToolsENVI/IDLGIS (ArcView/Arc/Info)Splus
Training on ToolsLocal usageRegional applications/Scientific researchIntegrate tools with data for access through the Internet (General/specific)
Knowledge Discovery & Data Mining• Content-based search • Knowledge discovery from RS data and other Earth science data
Web-based Tools• Data access, leverage existing tools
VDADC SIESIP/GDS DIAL WMT prototype (International standard)
• Metadata access Metadata ingesting/creating DBMS XML technology (DIMES)
Software and IT components
INetClient Side
INetServer Side
Middleware for Search and Browse
Processor(s)NOAA
GMUUser
PartnerUser
Student or Educational
User
Tailored Data BasesBy Discipline
By Geographic AreaBy Community
SatelliteDown Link
Order via INet
GMU Partners NASAForeign
For Tailored Databases
IndustryUser
Local User Local user
VAccess System Architecture
Virginia Access to Remote Sensing Data - Roles of GIS
PrototypingApplications for
VIRGINIAACCESS
Global RSDatasets
ApplicationDataBases
HSISignatureLibrary
Radars:SAR
NextRad
Lo-CostRegional
Data
Education&
Training
Key GMU
Non-GMU
People
CollaborationInfrastructure
CommunityServer
HW/SW
Process
Data
Spatial Analysis& statisticalCapabilities in GIS
Some RS dataAre availableIn GIS formats
Modules onIntegratingGIS/RSanalysis
DEM and Topo dataAre handled Efficiently byRaster-based GIS
These data areMostly in GISFormats. GIS can provide anIntegrated environment toBring togetherThese data &RS data.
HW/SW
Hank Wolf
State of Virginia and the Use of Remote Sensing Data
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C o a s tsW a te r S h e dsC it ie sF a rm in g A re asF o re s ts
P re p a re d n e ssA sse ssm e ntM it ig a tionP ro v id e rsA g ricu ltu ra l In te re s tsL a n d C o verF o re s tryW a te r U tiliza tionL a n d P la n n ingH ig h w a y P la n n ingR e g u la to ryP ro g ram m a ticD e c is io n S u p p o rtL e g is la t ive F a ct F in d ingE n v iro nm e n ta l P o licyE n c ro ach m e nt- N o ise- F re q u e n cy- H a b ita t L o ss- W a te r Is su es
N a tu ra l H a za rds M a n -M a d e E ve n ts- P la n n ed
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R e g io n s In te re s ts& V ie w p o in ts
E n v iro nm e n ta l Is su es
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VAccess Process Overview
RS Data Sets-H S I - SAR-MODIS - AVHRR-LandSat - MISR-IKONOS-Other NASA Data Buy Products
Subset& Apply
To
Application Scenario Examples-Nitrogen, Contaminants & Vegetation Stress-Water Quality & Wetland Assessment-Agriculture & Forestry Resource Management-Oil Spill Analysis and Mitigation-Natural Hazard Monitoring & Prediction -Analysis Techniques for Virginia Hazards-Landscape Epidemiology
= Mosquito-borne Illnesses
Building Infrastructure-Center Architecture-Functional Architecture-Data Analysis/Access-GIS-HSI Library/Access-Direct Broadcast Reception
a. User Education & Awareness-RS Algorithms, Tools, H S I-Data Visualization Test Bed -GIS/RS Tutorial-Natural Resources Tutorial
b. Future Workforce Training Hardware: IR Atmospheric Sensors
Receiving Stations Software: Tools Training
Technical Advisory CommitteeAdvise re: High-Level Priorities, Plans, Needs, & Emphasis Areas
Selected PrototypesUser Feedback
Proposed Significant Project Activity Process
Contract withSSC
EmphasisAreas & Priorities
Map of RS DataTo TACPriorities
VAccess TeamScenarios’
Inputs
Subcontracts with
VAccess Team
ActivityBaseline
Proposed ActivityPlan
Objectives; DesignExpected Results;Schedule; Costs;
Metrics
Ranked Selection Criteria: - Regulatory; - Programmatic;- Decision Support; - Legislative Factfinding
P.I.
Technical Advisory
CommitteePI Approval
Priority ActivityListing
Planned; Active;Completed
VIRGINIA ACCESS Project Component Relationships
Research & Applications:Goals & ObjectivesData NeedsInterfacesExpected Outputs
Data:Earth Observing, Regional & High Resolution RS SubsetsData AttributesData FilesStorage SitesAccess Techniques
Access:ProtocolsInstallation RequirementsAccess RequirementsHardware/SoftwareStandards: Data Access/CatalogFTP SitesDistributed Access & AnalysisData Search
Design Requirements
ImplementationConcepts
Prototype(s)
StakeholderFeedback
Education & Training
Technical Advisory CommitteePriority Definition; Emphasis Area Criteria;
Data/Products Validation
Approved Activity
P.I.
Virginia Access to Remote Sensing Data - Concept and Examples
VegetationStructural Materials Roadway MaterialsSources – AVIRIS, EO-1, In Situ
Landsat 7AVHRRMODISASTERTRMMSeaWiFSGOESMISRSSM/I
AlgorithmsStatistical ToolsProtocol DataMetadata Files
Graduate CoursesCertificate CoursesDistance LearningCourse MaterialsInstructor ListScheduleSites
Wetlands DataLand ClassificationsVegetation
Topography MapsRoad MapsDemographic Data
Special CapabilityUsers
DEMSurface ObjectsFoliage Penetration Images
PrototypingApplications for
VIRGINIAACCESS
Global RSDatasets
ApplicationDataBases
HSISignatureLibrary
Radars:SAR
NextRad
Low-CostRegional
Data
GMU
Non-GMU
Education&
Training
Key
CollaborationInfrastructure
CommunityServer
HW/SWEdu
Data
PrototypeExamples For TACInput
Emphasis Areas & Priorities will Drive
ImplementationCompletion
VAccess & Innovation Pipeline Concept
Number HoursConcept Creation 100 1
Concept Refinement 15 5
Proof of Concept 4 40
Prototype Development 2 500
Transfer to Provider 1 TBD
Keep the Innovation Pipeline FullKeep Users InvolvedKeep the Science & Technology RealKeep Nurturing the Later Steps
VAccess
VAccess, Commonwealth
InnovationEngine
VAccess First Year Phases
Start Up and Activity Processes
Data Sub Setting
Scenario Refinement
Education & Training
Infrastructure Evolution
Prototype Refinement & User Requirement Validation
VAccess Stakeholder LinkagesExisting (G), In Development (Y) & Proposed (B)
PrototypingApplications for
VIRGINIAACCESS
State AgencyStakeholders
CBLAD CITVDEQ VDESVDOF VEDPVDOT VGIN
VDOH
Participating ProgramsNASA: ESIP Federation; JIESIC; RESAC; SIESIP;
NRL: EOSRNSF: GEM;
Ohio State: RS Application in Transportation
Federal AgencyStakeholdersNASA: GSFC, LaRC, SSC
NRL/ONREnv’v’m’l Secur’tyEPA USDA NSFForest ServiceNPS USGS
IndustrialStakeholders
TRW
Technical AdvisoryCommittee
GMUODUJMU
VTUVA
W&MVSGC
Hampton
VAccess Team Projects
ODU RS Applications in Landscape Epidemiology
JMU Visualization Test Bed & Software for Shenandoah Valley
Hampton Advanced Analysis Techniques for RS Data
VSGC Leveraging a State-wide Network
VIMS Development of an Interactive I-Net GIS/RS Tutorial
VT Natural resources Applications of RS & Related Geospatial Information Technologies
UVA Deployment of an IR Atmospheric Sensor
Thomas Allen
Applied Research in Mosquito-Borne Disease
PreventionTom Allen
Old Dominion University
Mosquito Control and Disease Surveillance
Arboviral and vector-borne disease surveillance– Encephalitides (EEE, LaCrosse, WNV)
– Hantaviruses, Dengue Fever
– Aedes albopictus and other arboviral vector spp.
Field-based surveillance and control– Mosquito light traps
– Breeding/pool samples
– Chicken flocks
Asian TigerMosquitoIntroduction & Diffusion
Pilot Research
CDC, NC State, ODU, N.C. and V.A. Public Health Depts.
Identification of breeding “Hot-Spots” Implementation of Integrated Pest
Management (IPM) NCSU Coop. Extension funding 2000-2001 Cooperators
Collaboration Clarke Mosquito Control
Valent Biosciences
US Air Force C-130s (Wright-Patterson AFB, OH)
USMCAS Cherry Point, NC
Approach Building multi-temporal time series of Landsat TM,
ETM+, and DOQQ imagery Statistical and cartographic modeling of mosquito
populations Tasseled cap transformation Multitemporal reflectance trajectories/CVA Lagged response and two-stage multivariable ANOVA GIS and logistic models with and without spatial dependence
Training vector control specialists in ArcGIS, Erdas, and Epi-Info
Develop applications for desktop GIS to improve mosquito control
IPM Benefits
Improved human health protection Lower cost to local government Expanded private-sector services
– Pest management and controls– R&D for improved IPM (e.g., larvicides)– Expanded services (rapid assessment and
controls)
Public Sector Benefits
Improved efficiency and technology in local government (vector control)
Lower costs for improved mosquito control Dissemination of RS in tandem with GIS
and IT applications to public health
Technical Needs Landsat TM/ETM+ archive
– 6-10 scenes per season (t1-tn)– Phenology and event-driven acquisition
High spatial resolution imagery– Discrete image interpretation (ditches, drainages, other
breeding sites)– Ikonos, SPOT, DOQQ
SAR and/or LIDAR DEMs Census TIGER 2000
Outreach
Educational materials (web and course materials)– Higher ed. and public end-users
Workshop Collaboration with state agencies and/or
local, regional and national Mosquito Control Associations
James Barnes
NASA RISE
Dr. James L. Barnes
Director
Technical Approach As applied to Virginia and Chesapeake Bay region, the
main objectives of NASA RISE’s remote sensing focus are to: – begin filling the void in understanding how digital geo-
information technology can support decisionmaking functions of data and information at the local, state and regional levels,
– help studentsat Virginia colleges make the transition from being designers of products to designers of information using knowledge-based thinking and decision-support tools, and
– consider how geo-information technology applied to regional decision-support interacts with the social functions of information and data and the social context of science and technology use.
Tasks and Milestones
To establish a digital, regional, visualization test-bed that serves as a nucleating laboratory for community-based science and technology problem-solving. – Identify technologies, equipment, software and
educational activities. – Identify partners and usage of data. – Define educational products and training. – Increase server and computing capability. – Expand technology infrastructure.
Tasks and Milestones Continued
To apply EyeSpyTM visualization software analysis tools for studying Earth environments in the Shenandoah Valley. – Identify technologies and educational
activities most appropriate for EyeSpyTM visualization software.
– Identify partners and usage of data. – Identify regional applications and modeling. – Define products and educational training.
Tasks and Milestones Continued
To develop 3-D virtual environments fly-bys for technology economic development in the Shenandoah Valley. – Identify regional applications and modeling. – Identify partners and usage of data.– Purchase imagery. – Define educational training.
Tasks and Milestones Continued
To prototype integration of emerging technologies for community-based decision making.– Data mining. – GIS. – Web-based databases.– Distance learning. – Define educational training.
AXS Technologies, Inc.EyeSpyTM Visualization
Testbed EyeSpy allows end users to extract close-ups
from, zoom-in on, and pan through high-resolution images over the web.
EyeSpy uses patented data striping and pipelining technology that delivers images to a user's browser in the blink of an eye.
http://www.axs-tech.com/index_green.php
Source: http://www.axs-tech.com/html/products/eyespy/index.html
Pat McCormick
VAccess: Hampton Univ.Efforts
M. Patrick McCormick
Prof. & Co-Director
Center for Atmospheric Sciences
Tasks
As part of the Virginia State Virtual Remote Sensing Center Consortium (VSVRSCC) team, at a minimum, HU will:
Build relationships and collaborations with the USGS to find out their needs, interests, and requirements for information on global and regional volcanism and earthquakes
Enhance relationships and collaborations with the NWS to find out their needs, interests, and requirements for global and regional hurricane studies and tropical storms
Tasks cont.
Strengthen relationships and collaborations with the EPA and find out their needs, interests, and requirements for global and regional-scale air pollution due to trans-oceanic transport of dust and aerosol particles, and biomass burning
Incorporate distance learning support for all atmospheric science courses to all VSVRSCC members and partners
Teach undergraduate and graduate level atmospheric science courses
Technical Approach
HU will draw on its comprehensive expertise in atmospheric science and remote sensing to:
Study advanced remote sensing systems required to address current problems in atmospheric chemistry, climate and environmental research
2) Develop the capability to perform image analysis of large satellite data sets for study of clouds, hurricanes, volcanoes, Earth-fault changes (before and after earthquakes), continental pollution plumes, effects of long-range transport of desert dust and other environmental phenomena
Technical Approach cont.
Apply these techniques to NASA data sets such as TERRA, AQUA, TRMM and LANDSAT
Produce posters of the image analysis for public and educational outreach.
Title: What are the Long- and Short-term Regional Impacts of a Hurricane?
Theme: Hurricanes. Evolution and impacts are or will be observed by MODIS, MISR, SeaWiFs, GOES, ASTER, QuickSat and PICASSO
- A suite of experiment images will be used to show the evolution of a hurricane and correlations among experiments, structure, and devastation.
Teasers: Correlations between MISR, MODIS, SeaWiFs and other experiments.
- Scientific relevance of data based on hurricane evolution and effects on specific regions.
Generic Poster Layout:
Multi-orbit composite showing Hurricane swath with QuickSat velocity vectors overlayed.
ASTER (or other) image anytime before landfall
ASTER (or other) image after landfall.
LITE/PICASSOVertical Cross
Section of Hurricane
MISR or MODIS
MISR or MODIS
Title: Do Dust Storms in the Saharan Desert Have Global Environmental Impacts?
Theme: Dust storms in the Saharan region cause global scale effects. Impacts are or will be observed by MODIS, MISR, SeaWiFs, TOMS and ASTER
- A combination of experiment images will be used to show dust correlations among experiments, dust indices, the Red Tide and coral reef changes.
Teasers: Correlations between MISR, TOMS and other experiments. Relevance of data based on health and pollution effects.
Poster Layout:MISR Multi-orbit compositeshowing dust transport
Red tide
MODIS TOMS ASTER
AerosolIndex
Coral
Title: Do Volcanoes Impact Climate and/or Chemistry Theme: We will use ASTER, MISR, MODIS and SAGE data to depict the impact of volcanic eruptions on climate and chemistry. Teasers: Violent eruptions result in new particles in the Earth’s stratosphere resulting in cooling of the surface and reductions of ozone on a global basis. Poster: Make-up: MODIS images of an eruption
MISR stratospheric images of an eruption (Nadir view shows eye)ASTER image(s) of plumes and Mount St. HelensTOMS SO2 plumes
SAM II / SAGE I/II stratospheric optical depth record since1978Photograph of Pinatubo
ASTERimage
ofvolcanic plumes
MISRStereoImage
Eruptions that have global impacts to climate/O3 chemistry
ASTERImage 3D of
Mount St. Helens
Photograhof
Pinatubo
SAM II/SAGE data
•Large volcanic eruptions warm the stratosphere and cool the Earth’s surface.
•These volcanic particles act as sites for ozone chemistry and resultant losses.
90N
0
90S
1978 2000
Stratospheric Aerosol Optical Depth
Eruptions that create local/regional environmental problems e.g. flooding, crop losses
Metrics by Quarter
(1) Complete proposal, organize effort and begin research.
Develop CAS courses for distance learning
(3) Complete first educational and public outreach materials and website.
(3) Make available images, analysis and data products for applications germane to Virginia.
Deliverables
In a timely fashion, HU will:
Deliver data products to the USGS, NWS, EPA, and the VSVRSCC science team manager (STM)
Deliver image mock-ups for education and public outreach to the STM
Provide copies draft documents and progress reports to the STM
Mary Sandy
Virginia Space Grant Consortium
Virginia Access (VAccess) ProjectsMiddle Atlantic Remote Sensing Information Access
System (MARSIAS)
Presented by
Mary Sandy, Director
Virginia Space Grant Consortium
July 9, 2001
QuickTime™ and aTIFF (Uncompressed) decompressor
are needed to see this picture.
VSGC -- Part of the NASA National Space Grant College and Fellowship Program
Initiated by Congress to provide seed money to the states through NASA to:
– Improve math, science, technology and engineering education at all levels (pre-college through post doctoral and faculty levels) to ensure a highly qualified national talent pool
– Build aerospace-related, high technology research capabilities at Space Grant universities
– Encourage partnerships among government, industry and academia
– Foster public science literacy
The Virginia Space Grant Consortium received its designation from NASA in September 1989.
Consortium MembersCollege of William and Mary
Hampton UniversityOld Dominion University
University of VirginiaVirginia Polytechnic Institute and State University
NASA Langley Research CenterState Council of Higher Education for Virginia
Virginia Community College SystemVirginia Department of EducationMathematics and Science Center
Science Museum of VirginiaVirginia Air and Space Center
Virginia’s Center for Innovative Technology
VSGC Partnerships
The Consortium works with NASA, the Commonwealth of Virginia, industry and many other partners (more than 300 to date) to accomplish its goals.
Current NASA Space Grant award is $475,000 per year
In recent years, the VSGC has leveraged each NASA Space Grant dollar invested by $4 - $5 from other sources.
VSGC Remote Sensing Working Group History
A state-wide Remote Sensing Working Group comprised of Space Grant university faculty, NASA researchers, land user planners, Cooperative Extension personnel, civil engineers and natural resource managers with the goal of determining how we might work together to access and use remote sensing images of Virginia for economic development research and education.
VSGC fellowship and scholarship opportunities were opened to students to assist faculty in learning to manipulate data sets.
Speakers and a meeting at NASA Langley helped introduce Working Group members to upcoming funding opportunities, related resources as well as kinds of data available and how they might be used.
A science plan was formulated that embraced several areas of interest of the Working Group members. One of the strong areas of interest was the need for comprehensive watershed data which impacts economic development, environmental impact and land use planning.
VSGC Remote Sensing Working Group History continued
The VSGC co-sponsored a Precision Agriculture Workshop and a Remote Sensing conference with Virginia Tech.
The VSGC sponsored attendance by faculty and VSGC staff at three national Space Grant remote sensing conferences.
A number of grants were submitted by group members. Two were funded:– Wetlands Remote Sensing Grant from NASA Langley
Research Center to VSGC with ODU’s Tom Allen and George Oertel.
– NASA/Mission to Planet Earth--Centers of Excellence in Applications of Remote Sensing to Regional and Global Integrated Environmental Assessments, ODU PI’s Tom Allen and George Oertel.
Build on network established through Working Group.
Other Remote Sensing Activities:
The VSGC has undertaken a number of K-12 outreach/teacher training activities with relevance to Remote Sensing.
The VSGC is partnered with the University of Virginia for IR Sensor Research. This effort is being done at the University of Virginia (Gabriel Laufer and Houston Wood), funded in part by the VSGC, to develop and deploy an Infrared atmospheric sensor on an Orion sounding rocket to be launched from NASA Wallops.
The VSGC’s Director, Mary Sandy, has prepared a white paper. “Background Paper on the National Space Grant College and Fellowship Program and Extension Services for Practical Applications of NASA Technologies” for Chief of Staff of the VA, HUD and Independent Agencies Subcommittee, U.S. House of Representatives.
The VSGC participated in two sounding rocket projects to measure atmospheric ozone. These missions were undertaken in partnership with the Colorado Space Grant Consortium. Under the NASA Student Launch Program, the VSGC has undertaken two student-managed Upper Atmospheric Research Balloon missions involving a number of university and industry partners.
GoalGoal
NASA Space Grant Extension Specialist in Geospatial TechnologyNASA Space Grant Extension Specialist in Geospatial Technology Partners:
National Space Grant College and Fellowship Program U.S. Department of Agriculture, Cooperative State Research,
Education, and Extension Service (CSREES) Goal:
To meet needs of farmers, ranchers, planners and others involved in agriculture, natural resource management, and rural development. Join the missions of NASA’s Office of Earth Science and Space Grant with the experience and infrastructure of the USDA CSREES.
Approach: Place a Geospatial Technology Specialist within CSREES at
Virginia Tech to help meet their information needs, using the three Primary “Geospatial” Technologies:
Remote Sensing Geographic Information System (GIS) Global Positioning System (GPS)
Virginia Space Grant Consortium Support of VAccess/MARSIAS
As a partner in VAccess/MARSIAS, the Virginia Space Grant Consortium (VSGC) will provide staff, faculty members, students, administrative services and cost sharing through projects which provide education and awareness, future workforce training, products and services, and relevant educational and research experience involving VSGC member faculty and students.
Coordination of VAccess activities across member institutions participating under VSGC umbrella
Seek synergy among VSGC programs and projects and VAccess. Natural linkages will be encouraged. Strong interest in building VSGC ties to related State agencies.
Coordination of Space Grant research scholarships and fellowships and faculty funding for topics related to VAccess goals. Minimum of $15,000 in VSGC funding to be provided.
Virginia Space Grant Consortium Support of VAccess/MARSIAS (continued)
Development of an Interactive Internet GIS/Remote Sensing Tutorial in partnership with Virginia Institute of Marine Science. VIMS Leads: Dr. James Perry and Dr. Michael Newman. VAccess funding at $15,500 is allocated for a VSGC graduate fellow to develop the Interactive Internet GIS Remote Sensing Tutorial.
Natural Resources Applications of Remote Sensing and Related Geospatial Information Technologies: Extending the Reach of the Virtual Center in partnership with Virginia Tech. Virginia Tech Lead: Dr. Randy Wynne.
Deployment of an IR atmospheric sensor on the Orion Sounding Rocket in partnership with the University of Virginia. UVA Lead: Dr. Gaby Laufer.
One quarter of VSGC Research Program Manager’s time will be dedicated to development of oversight of remote sensing programs related to VAccess. Director’s time will be contributed.
VSGC projects and activities tie to the following components of VAccess: User Education and Awareness; Future Workforce Training; Applications Databases; Global Remote Sensing Data Sets; HIS Signature Library; and Collaboration and Support Infrastructure.
Virginia Space Grant Consortium Support of VAccess/MARSIAS (continued)
The proposed initiatives are consistent with VAccess goals of expanding the benefits of earth science research, technology, and remote sensing data to address a broad range of Virginia needs by:1) building an enabling infrastructure for data downloads, collaborative exchanges and database generation, as well as information products derived from the above;2) prototyping exchanges of data and information products for specific regulatory programmatic/campaign activities, decision-support and legislative fact finding efforts;3) providing education and training to identified stakeholders in the areas of remote sensing and associated technologies; and4) identifying and using commercial remote sensing data for the above through the NASA data buy program prototyping exchanges of data and information products of interest to federal, state, and private sector applications.
Virginia Space Grant Consortium Support of VAccess/MARSIAS (continued)
James Perry
Development of an Interactive Internet GIS/Remote Sensing Tutorial
James E. Perry, PWS, Ph.D.
Dept. Coastal and Ocean Policy
College of William and Mary
Virginia Institute of Marine Science
Introduction
Geographic Information Systems are a powerful new tool that can be used with spatial and temporal life science data sets;
can be used to produce simple maps (visualization); or
can be used to perform advanced statistical spatial and temporal analysis.
Problem With Current System
Equipment not available; upgrades often not installed; tutorials expensive to students; students find manufacturers on-line tutorial
boring and not pertinent to all life sciences.
Potential Solution
Create user friendly on-line tutorial available to students from their own machines;
tutorial will be free to anyone who wishes to use it;
will use examples from Chesapeake Bay and other available Virginia data (emphasis on life sciences).
Proposal
Tutorial will be developed and tested by VIMS faculty and graduate students;
tested and validated by outside team of GIS specialists and GIS neophytes;
server will be located at VIMS and maintained by VIMS’s ITN staff.
Add On Value
VIMS ITN staff will maintain and upgrade system;
will be linked to our VIMS-CERSP remote sensing tutorial (already on-line);
computer and GIS experts will be available to answer students questions.
students will be able to create own data files.
Current Web Sites
www.vims.edu http://www.vims.edu/rmap/cers/tutorial/
Randy Wynne
Natural Resources Applications of Remote Sensing and Related
Geospatial Information Technologies: Extending the Reach of the Virtual
Center
Randolph H. Wynne
Overall Objective
To facilitate the early adoption of remote sensing and other geospatial information technologies by Virginia’s Agriculture and Natural Resources extension agents to improve decision support by natural resources stakeholders throughout the Commonwealth.
Stated another way, our goal is to train the trainers!
Background: VCE
Virginia Cooperative Extension (VCE) is devoted to citizen education in the areas of agriculture, natural resources, and the environment. VCE has a large, statewide network of 105 county and/or city offices, and 117 field agents who work in the broad area of Agriculture and Natural Resources (ANR). VCE also has an additional 148 field agents who work in the areas of Family and Consumer Sciences and 4H Youth Development.
Background: VCE Mission
The mission of VCE is to enable people to improve their lives through an educational process that uses scientific knowledge focused on issues and needs.
Current Relevant VCE Activity
4H agent training in GPS; units available statewide
ArcIMS server managed by AHNR IT Counties and municipalities are using remote
sensing and GIS for planning; extension agents are often behind the scenes in these efforts
Precision agriculture FORSite (Forestry OutReach Site)
Other Virginia Tech Activity
Faculty Development Institute Spatial Track offered by OGIS faculty for the last three years
Significant remote sensing expertise and training facilities through CEARS
Significant GIS expertise through OGIS Emphasis on algorithm and database development
in an applied, disciplinary context Strong linkages to VAccess, Virginia Space Grant
Consortium, other universities, federal agencies
Precursors to Training
General training needs assessment in progress Queries of successful programs in other states
(e.g., Mississippi & Georgia) Trainings scheduled (December & March) Identification of attendees & their project ideas Introductory ESRI online courses (ArcGIS) Agent-tailored data sets
Agent-Tailored Data Sets Landsat TM subsets from 1998-2001 imagery DRGs Vector layers of roads, water bodies, administrative boundaries, etc. Virginia GAP land cover maps DCR watershed unit boundaries Stream stations (DEQ sampling points, USGS stations, water intakes
& discharges) DOF forest cover maps NED DEMs Soils from NRCS and DCR Other remotely sensed data as needed and already available (two
statewide SPOT acquisitions)
Training Objectives
Enable each extension agent to effectively incorporate GPS into their outreach programs
Provide each extension agent with their own copy of ArcGIS and major extensions (software costs represent in-kind support from VCE)
Enable each extension agent to utilize ArcGIS and major extensions to display, query, and analyze remotely-sensed and other spatial data
Facilitate individual projects in which extension agents can use their personalized data sets to concentrate on an activity that is best suited to their existing clients and outreach efforts
Expected Benefits (I)
Reaching out to VCE is vital to the ultimate success of the Virtual Center, as it will enable increased diffusion of remotely sensed data and, as or more important, the ability to manipulate and analyze the data in an applied, operational context. By concentrating first on “early-adopters” among the existing extension agents, this effort should have a multiplicative effect, as we are proposing to “train the trainers” in many respects.
Expected Benefits (II)
We recognize that the extension agents will by no means have all they need to know after the training, but they will be able to take home working knowledge coupled with a working data set that will help build the Commonwealth’s geospatial applications infrastructure. The training is also unique in that it recognizes that GIS software purveyors are best equipped to train users on the use of their software, while applications specialist are best qualified to address the particular geospatial needs of natural resource managers.
Gaby Laufer
UVA SUB-ORBITAL PAYLOAD PROJECT
By
Gabriel Laufer
University of Virginia
Objectives
Develop unique engineering educational experience that includes realistic engineering and research projects.
Develop experimental facilities and capabilities that allow at least one annual undergraduate sub orbital launch of remote-sensing experiment.
Partners
VSGC, Litton PRC, Orbital Sciences Corporation, NASA WFF and LaRC, VAccess, JMU, GMU, HU, ODU Virginia Space Port Authority
Current System Components
TE cooled MCT IR sensor system, Video camera/VCR recording, 3 photo-diodes with RGB color filters, System sensors (temperature, pressure,
voltage), On board data logger, Telemetry (multiplexer+ transmitter)
Quartz Windows
IR Doubler
IR Window
Batteries
Data Logger
Camera
VCR
Photodiodes
Transmitter
Lock-In Amp
IR Sensor
Imaging and telemetry deck
Photodiodes and house keeping board
IR sensor system And data logger
Power deck
NSROC secondary payload
April 2001
Launch of single stage Orion carrying UVa’s payload April 27, 2001
Payload weight 225 lb, apogee 155,510 ft, flight time 18 min.
Payload recovered successfully. Data obtained by telemetry and on-board recoding
Future launch will include spectral imaging (MODIS validation) and stratospheric methane.
Photodiode and IR Sensor Voltage Output
One frame of the video image showing the separated rocket motor
Results of work in progress
Demonstrated the entire system, including sensors, house-keeping, on-board recording, telemetry, deployments of shield, recovery,
Obtained data of IR sensor and RGB photo-diodes that are consistent with observations,
Images of the video camera correlate with system time base, photo-diode output, and provide moderate resolution even during fast spin,
Demonstrated operation of TE cooled MCT, tuning-fork chopper and DC-DC converters.
Summary & Wrap Up
Action Items
TAC Meeting Plans
Project Schedule