Title: EO1 Science Validation Evolution
1EO-1 Science Validation Evolution
- Initial Concept
- ALI including MS/PAN, the WIS, and the GIS
- AC
- De-scope
- ALI (MS/PAN)
- AC
- Re-scope
- ALI (MS/PAN)
- Hyperion (GIS)
- AC
2Initial Concept
- Validate MS/PAN and WIS for Landsat-follow-on and
other future Mission To Planet Earth (MTPE)
missions - Validate new ways of doing business visa-vi
formation flying and calibration - Use GIS to evaluate spectral purity of WIS
- Assess impact of applying AC-generated
atmospheric corrections to contemporaneously
obtained (within 1 minute) Landsat 7 ETM data
3Descope
- Validate MS/PAN for Landsat-follow-on and other
future MTPE missions - Validate new ways of doing business visa-vi
formation flying and calibration - Assess impact of applying AC-generated
atmospheric corrections to contemporaneously
obtained (within 1 minute) Landsat 7 ETM data
4Rescope
- Validate MS/PAN and Hyperion for
Landsat-follow-on and other future MTPE missions - Validate new ways of doing business visa-vi
formation flying and calibration - Evaluate utility of hyperspectral data for
meeting needs of Earth Science Enterprises (ESE)
community by addressing Lewis science mission
objectives with Hyperion - Assess impact of AC-generated atmospheric
corrections on Landsat 7 ETM data
5EO-1 Coordinated Image Collection Opportunities
Excludes thermal channel
6ALI Flight Validation
- The ALI is a specific response to the Land Remote
Sensing Policy Act wherein NASA is charged with
ensuring Landsat data continuity through the use
of advanced technology - EO-1 will provide at least 200 paired scene
comparisons with Landsat 7 - EO-1 flies within 1 minute of Landsat over the
same ground track 3 km - Provision to collect up to 1,000 paired scenes
- Continuous atmospheric correction available
- Paired scene comparisons evaluated by experienced
land imaging scientists in association with the
Landsat Science Working Group
7Hyperion Flight Validation
- The Hyperion is a specific response to address
the science and technology goals of the
ill-fated Lewis mission - EO-1 will provide 7.5 km x 19.8 km x 220 band of
spectral imaging data hyper-cubes - Hyperion is co-aligned with the innermost MS/Pan
SCA on the ALI MS/Pan Module - Provision to collect up to 6,000 hyper-cubes with
matching ALI MS/Pan and selected Landsat 7 data - Continuous atmospheric correction available
- Paired scene comparisons evaluated by experienced
land imaging scientists in association with the
Landsat and AM-1 Science Working Groups
8EO-1 Mission Overview
- Primary Participants
- Mission Components
- ALI (MS/Pan) NASA Research Announcement (NRA)
Investigators - Hyperion NRA, DOD, commercial
- Atmospheric Corrector NRA, L-7, commercial
- Technologies IPDT
- Mission Phases
- Launch to L2 months Spacecraft Team, MIT/LL,
TRW - L 2 to L12 months NRA
- Extended Operations (not funded) DoD, Commercial
9Science Validation Activities
- Validate the ability of the ALI to produce
calibrated multispectral images of the Earths
surface. - Evaluate Hyperion imaging spectrometer system
performance for representative operating
conditions and target environments. - Determine the potential for improving land
surface identification by applying AC atmospheric
water vapor corrections to Landsat-7 ETM
observations.
10Hyperion System Performance
- Evaluate sensor characteristics for calibration,
repeatability and impact of atmospheric
conditions - Cross correlate with other EO-1 instruments and
ETM - Investigate utility of high spectral and spatial
Hyperion data in enhancing data from EOS/AM-1
instruments - Demonstrate the applications of space-based
imaging spectroscopy in landcover use and change
analysis for both land mass and coastal regions
11Sensor Performance Validation Topics
- Cross-calibration with other EOS instruments
(e.g., MODIS, ETM) - Characterize and analyze radiometric calibration
- Efficacy of different calibration modes during
the first year of orbit - Compare results of well characterized sites on
Earth (vicarious calibration) with known or
stable reflectance characteristics and
well-determined atmospheric states - Derive ETM equivalent integrated spectral
reflectance (band radiances) from the
hyperspectral instrument and compare against
Landsat spectral reflectance of ETM - Algorithm intercomparison studies
- Theoretical measurement accuracy and validation
measurements - Multiple or time series satellite algorithm
development - Uncertainty analysis using basic physical and
system equations - Physical process measurement validation
- Landsat precursor operational satellite sensor
validation
12Sensor Performance Validation Topics(Continued)
- Development of advanced physical-statistical
validation methodology - Model impact analysis of remote sensing
measurement errors - Establishment of statistical criteria for
accuracy with multiple satellite sensors, orbits,
observation times, and spectral coverages - Removal of satellite data artifacts and
post-observation recalibration - Real-time calculation of direct broadcast data
products and uncertainties - Alignment of detector/array alignment studies
- Modulation transfer function (MTF) changes over
time - Solar diffuser stability
- Measure statistical response of MS/Pan and AC
vs.. Landsat-7 ETM - Intersatellite calibration
13Hyperion Science Application Topics
- Produce Landsat-type products, e.g., spectral
vegetation indices, closed/sparse canopy,
thematic maps (urban studies), snow and land
cover/land use change, land surface temperature
(day/night), fire, thermal anomalies and burn
scars - Assess the capability of MS/Pan to meet the needs
of Landsat user community - Assess capabilities of MS/Pan and hyperspectral
over the growing season to evaluate seasonal
variations - Extract biophysical properties, e.g., fraction
absorbed photosynthetically-active radiation
(FPAR), leaf area index (LAI), and net primary
production (NPP) - Study bi-directional reflectance distribution
function (BRDF) and surface reflectance products - Determine surface spectral bi-directional
reflectance corrected for atmosphere - Conduct regional field studies, field data
campaigns
14Mission Planning Overview
- Coordinating Committee
- Representatives from Science Working Group,
Commercial Sector and Department of Defense - Adjudicates acquisition policy/priorities
- Mission Planning Office
- Implements mission planning activities
- Serves as sole acquisition input to the FOT
- Staffed by Mission Science Planning Office
15Data Processing / Distribution
- Science Validation Facility
- Distributes all level-0 data to selected NRA
Science Validation investigators - Produces MS/Pan Cal Pipeline data on demand
- Provides in-house validation/analysis capability
- NASA Stennis
- Provides all Hyperion processing
- Distributes Hyperion Level-0 data to all
Commercial and DOD interests - Distributes processed Hyperion data to SVF, as
well as Commercial and DOD interests
16Backup Slides
17SAC-C Science Synergy
- December launch accommodates inclusion of Swedish
Magnetometer Mapping Payload - EO-1 and SAC-C will cooperate as follows to
promote NASA/Argentine research initiative - Collaborative research opportunities in remote
sensing applications involving land use,
atmospheric composition, and wet land habitats - Cooperative surface measurement program in
Argentina, including the installation of Aeronet
photometer stations for continuous monitoring of
atmospheric aerosols - NASA to provide Landsat 7 / EO-1 land imaging in
support of the above tasks - Argentine participation in the EO-1 NRA
18Hyperion Performance Model Predictions (30
Reflectance, 60 Solar Zenith Angle)
19Science Validation Facility (SVF)
- Serves as the EO-1 Mission Science Office (MSO)
validation analysis and investigator distribution
center - Physically part of the GSFC Landsat-7 Project
Science Office (LSPO) Image Assessment System
(IAS) - Specifically will provide data distribution and
ALI level 1 processing to NRA science
investigators