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Validation Data Support Activities at the ORNL DAAC

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Validation Data Support Activities at the ORNL DAAC Bob Cook, Steve Margle, and Lisa Olsen ORNL DAAC Jeff Morisette, NASA GSFC John Dwyer, EROS Data Center – PowerPoint PPT presentation

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Title: Validation Data Support Activities at the ORNL DAAC


1
Validation Data Support Activities at the ORNL
DAAC
Bob Cook, Steve Margle, and Lisa Olsen ORNL
DAAC Jeff Morisette, NASA GSFC John Dwyer, EROS
Data Center Faith Ann Heinsch, University of
Montana
  • Land Cover Validation Workshop
  • Boston, Massachusetts
  • February 2, 2004

2
ORNL DAAC?
  • Oak Ridge National Laboratorys (ORNL)
  • Distributed Active Archive Center (DAAC)
  • www.daac.ornl.gov
  • Archives and distributes data for terrestrial
    biogeochemistry and ecosystem dynamics, including
    in situ data for validation

3
Compiling data to assist in validating MODIS land
products
  • Good science requires understanding product
    accuracy / uncertainty
  • Explicit statements of uncertainty foster an
    informed user community and improved use of data
  • Use of global products produced by CEOS members
    requires characterization of each products
    uncertainty

4
Data Support for Validation
  • Data needs and schedules defined by working with
    scientists funded to validate MODIS Products
  • Field investigators have responsibility to
    process, document, QA, and provide access to
    their data
  • ORNL DAAC provides Mercury system for search and
    retrieval, for both in situ and remote sensing
    data
  • MODIS ASCII Subsets of key products prepared in a
    format convenient for comparison with field data
  • When finalized move Land Validation data to
    long-term archive (ORNL DAAC)

5
MercuryMetadata Search and Data Access System
  • Designed to provide access over the Internet to
    distributed research data
  • Low requirements for the validation investigator
    (data provider)
  • software tool available to help produce metadata
    and documentation
  • Point and click download function
  • Currently used for a number of activities
  • EOS Validation, southern Africa (SAFARI 2000),
    and in Amazonia (LBA)

6
  • Land Validation Core Sites
  • 26 sites stratified by six biomes
  • Based on existing stations, resources, experts
  • FLUXNET, AERONET, BigFoot, LTER, etc.
  • Long-term monitoring
  • Jointly nominated by Instrument and Validation PIs
  • Remote Sensing Data
  • Landsat 5, ETM, IKONOS,
  • ASTER, airborne sensors,
  • subsetted over the core sites
  • in situ Site Data
  • Collected by various groups
  • at core sites, available via Mercury
  • Networks
  • AERONET, FLUXNET, BSRN, etc.
  • Ancillary Site Data/GIS Layers
  • - site variables
  • - elevation
  • - land cover
  • - reference layers (e.g., political
  • boundaries, airports, water
  • bodies)

7
Global FLUXNET Networkfor MODIS NPP Product
Validation
8
FLUXNET Activities
  • 252 towers registered from 11 networks
  • Gap-filled flux data available for 176 site-years
    from 53 sites
  • Database includes
  • Over 4,800 site ancillary values
  • Over 2,000 instrument descriptors
  • Over 5,000 literature citations

9
MODIS ASCII Subsets FY 2004
  • Preparing and posting 9 Terra (C4) and 3 Aqua
    (C3) MODIS Products for 274 sites
  • Developing web-based data visualization tools

Product Terra (C4) Aqua (C3)
Surface Reflectance MOD09A1 MYD09A1
Surface Temperature MOD11A2 MYD11A2
Land Cover MOD12Q1 (C3) -
NDVI / EVI MOD13A2 MYD13A2
LAI / fPAR MOD15A2 -
GPP, PSN MOD17A2 -
Annual NPP MOD17A3 -
Albedo MOD43B1 -
NBAR MOD43B3 -
10
MODIS ASCII Subsets ( 7 x 7 km)
  • MODAPS at GSFC (NASA) provides subsets of
    selected products in HDF and SIN Projection for
    274 sites
  • ORNL DAAC subsets to 7 x 7 km and reformats from
    HDF image into ASCII file of pixel values and QA
    flags, expanding as data are collected
  • ASCII File posted on DAACs ftp site

MOD12Q1 (C3) for Walker Branch, Tennessee
MOD15A2 (C4) for Walker Branch, Tennessee
11
MODIS Land Cover Grids
  • 7- x 7- km grids of MODIS Land Cover (MOD12Q1)
  • Based on C3 processing for MODIS Land Cover (UMD
    Classification)
  • Data available for other classifications and
    their uncertainty

12
Demonstrations
  • WebMap Server
  • Enables users to search for and select sites that
    have MODIS ASCII Subsets
  • MODIS ASCII Subset Data Visualization
  • Work in progress, currently only available for
    LAI/ fPAR (MOD15 C4)
  • Grid Visualization
  • Time Series

13
MODIS Validation What works?
  • Growing buy-in to the core sites concept where
    the field, airborne, satellite data suite is
    helping to address scaling issues
  • Exploitation of in situ networks (e.g. flux
    towers, AERONET, LTER/ILTER, BSRN) and field
    investigations (e.g., LBA, SAFARI 2000)
  • Simplified data access with dedicated archives
    and easy to use data format (e.g., ASCII
    subsets)
  • Frequent communication between Product PIs,
    Validation PIs, and data facilitators
  • Best validation sites are those where
    investigators taking ground measurements are also
    interested in satellite products

14
MODIS Validation Whats in the works?
  • Data for validation of MODIS Land products
    continue to be compiled and made available
  • the number of sites is growing through
    coordination with science networks and CEOS
    members
  • Improving formal documentation and making
    validation results more readily available to
    users
  • Users can provide important feedback over and
    above formal validation investigators (e.g.,
    through DAAC surveys and user services)

15
Validation on-going needs?
  • Promote stronger interface to the user community
    (e.g., through Validation Workshops)
  • Develop stronger connection with the scientific
    community to establish how accurate the products
    need to be and how to relay products uncertainty
    so this information can be incorporated into how
    they are used

16
(No Transcript)
17
Best Practices for Preparing Ecological and
Ground-Based Data Sets to Share and Archive
  • Best Practices include
  • 1. Assign Descriptive File Names
  • 2. Use Consistent and Stable File Formats
  • 3. Define the Parameters
  • 4. Use Consistent Data Organization
  • 5. Perform Basic Quality Assurance
  • 6. Assign Descriptive Data Set Titles
  • 7. Provide Documentation
  • Provided this document to
    SAFARI 2000, EOS Land Validation,
    BigFoot, and LBA projects
  • Available on-line, in booklets, Ecol. Bull. 2001
  • (http//www.daac.ornl.gov/DAAC/PI/bestprac.html)

18
in situ Data for EOS Core Sites
19
Leaf Area Index (MOD15A2)Walker Branch, Tennessee
20
Leaf Area Index (MOD15A2)
All pixels in 5 x 5 km area included Blue
good Red mean of 5 x 5 km area around
tower Green rejected based on clouds
Walker Branch, Tennessee
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