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Transcript of 1 ORNL DAAC Data Products and Tools Robert Cook Environmental Sciences Division Oak Ridge National...
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ORNL DAAC Data Products and Tools
Robert CookEnvironmental Sciences DivisionOak Ridge National Laboratory
Oak Ridge, TN
NSIDC User Working Group MeetingWashington, DC
October 14, 2010
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ORNL DAAC
Archive data products produced by projects within NASA’s Terrestrial Ecology Program
Mission: assemble, distribute, and provide data services for a
comprehensive archive of terrestrial biogeochemistry and ecological dynamics observations and models to facilitate research, education, and decision-making in support of NASA’s Earth science.
ORNL DAAC’s Web Site www.daac.ornl.gov
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ORNL DAAC by the numbers
Staff: 12 Full time equivalents Environmental scientists, computer scientists, and GIS
specialists Data Holdings
877 data sets; ~1 Tb volume Data set volume: Median = 500 KB; Mean = 500 MB Files per data set: Median = 2; Mean 263 files; Max =
92,000 files Data orders: 620,000 products ordered by 8,200 users in
FY 2009 ~50% have numeric IP Remaining user domains are foreign, commercial,
educational, and government User Working Group: 15 Scientists and NASA Program
Manager
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ORNL DAAC: Data CollectionsORNL DAAC: Data Collections
3. Regional and3. Regional and Global Global Studies Studies
(176) (176)• Climate• Soils• Vegetation• Hydroclimatology
2. Validation of Land Products (21)2. Validation of Land Products (21)
Total Data Sets = 877
1. Field Campaigns (670)1. Field Campaigns (670)• FIFE• OTTER• SNF• BOREAS• LBA• SAFARI 2000
BOREASLBA
LBA
S2KS2K
In-situObservations
?
Remote Sensing
LAI/fPAR NPP
• Land Validation• MODIS Subsets• FLUXNET• NPP• BigFoot
LAI/fPARNPP
4. Model Products (9)4. Model Products (9)• Benchmark Models
•IBIS, BIOME-BGC, LSM• Manuscript Models
•PNeT, Century, Biome-BGC
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MODIS Land Product Subsetting Tools In a scale and format (text, GeoTIFF) useful for field researchers
Three methods to obtain subsets1. Tool for 1,147 selected sites2. Tool for any user selected location on demand
• User selects product, time period, location, and area (1 x 1 km up to 200 x 200 km) worldwide and for user-selected time periods
3. WebService• Programmatically obtain MODIS subsets for any land location,
time period and area (from 1 pixel up to 201 x 201 km) using a standards based SOAP Web Service
1,147 field sites for MODIS Collection 5
Center Pixel
Mean Value of Pixels
Percent of Pixels that meet QC Criteria
EVI in Southern California
MODIS Land Products (C5) at ORNL DAAC
Surface Reflectance (MOD09A1)
Surface Temperature (MOD11A2)
Land Cover (MOD12Q1)
Vegetation Phenology (MOD12Q2)
NDVI / EVI (MOD/MYD13Q1)
LAI / fPAR (MOD / MYD15A2)
Net Photosynthesis (MOD17A2)
Annual NPP (MOD17A3)
Albedo (calc) (from MCD43A1,2)
Reflectance – BRDF Adjusted (MCD43A2,4)
December 2003 fire
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First tool: MODIS Land Product Subsets
Key Features:
Data is available for 12 MODIS land products (Collection 5)
Time resolution is 8-day, 16-day, or annual Spatial resolution is 250 m, 500 m or 1000 m Subsets are available for the entire period of MODIS record
(2000-Present) Provides direct input into text editor or MS Excel User can filter data by QC flags Small file size
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LTER site in Minnesota: Cedar Creek Natural Resources Area
Google Earth, Google Map and LandSat views of site
MODIS Article in LTER Newsletter
http://intranet.lternet.edu/modules.php?name=UpDownload&req=getit&lid=700
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LTER site in Minnesota: Cedar Creek Natural Resources Area
Center Pixel
Mean Value of Pixels
Percent of Pixels that meet QC Criteria
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What we offer: MODIS land product subsets of any size
(Maximum: 201- x 201-km) MODIS land product subsets for any period for a
product Subsets are in ASCII and GeoTIFF format MODIS Collection 5 data
How it works: User inputs the coordinates for the site or selects
from a picklist of sites User chooses the areal extent and the time
period Processing of subsetted product (selection of
tiles, mosaicing, generating time series data file and graphs) takes 10 to 60 minutes for most products (depends on area, time period, and product)
The tool will send an email message containing a URL where the output can be accessed
MODIS Products offered through the subsetting tool for Globe
Surface ReflectanceSurface Temperature
Land CoverVegetation Phenology
NDVI / EVILAI / fPAR
Net PhotosynthesisAnnual NPP Albedo (calc)
Reflectance – BRDF Adjusted
Second Tool: Global Tool for any Location on Earth
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Second Tool: Global Tool for any Location on Earth
Example Site in Rondonia-10.185, -63.67
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Can select GeoTIFF, in
addition to text (ASCII)
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MODIS Land Cover for the Site
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Stackable time series
Center Pixel
Mean Value of Pixels
Percent of Pixels that meet QC Criteria
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Grid Visualization for Nov 1-16, 2001
White: Filtered pixels
Black: Center pixel
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NDVI / Phenology
NDVI for site near Richmond, VA
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Land Cover Dynamics (Phenology) (MOD12Q2)
Site near Richmond
Day of the Year
Demonstration of Global Tool
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http://daac.ornl.gov/glb_viz_2/12Oct2010_14:01:46_460165200L55.88L-98.48S3L3_MOD15A2_CA-NS1/index.html
Third Tool: MODIS Web Service
Get MODIS Subsets through machine to machine interaction
SOAP (Simple Object Access Protocol) based
Retrieve Subsets using:
• Command line ( Perl)• Workflows (Kepler)• JAVA desktop software
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MODIS Next Steps
Offer next re-processing (Collection 6) in 2011 Offer both C5 and C6 at the same time
Offer subsets of 1-day products LST and Reflectance
Offer subsets up to 1000 km x 1000 km
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What is the Scientific Impact of the ORNL DAAC?
Question from Charlie Vorosmarty, UWG Member
Metric: Evaluate how many DAAC data sets have been used in papers.
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We encourage users to cite data sets and send us reprints
Scientific Impact of the ORNL DAAC
Metric: Evaluate how many DAAC data sets have been used in papers, dissertations, or policy reports
Citations to published / archived DAAC data Chambers, J.Q., E.S. Tribuzy, L.C. Toledo, B.F. Crispim, N. Higuchi, J. dos Santos,
A.C. Araujo, B. Kruijt, A.D. Nobre, and S.E. Trumbore. 2009. LBA-ECO CD-08 Tropical Forest Ecosystem Respiration, Manaus, Brazil. Data set. Available on-line [http://daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. doi:10.3334/ORNLDAAC/912.
Notify data providers of data publication and ask them to add citation to CV Sponsors, P&T Committees can evaluate data publication productivity
Metadata contains a suggested citation
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Example of paper that cites DAAC data
Strack, J.E., G.E. Liston, and R.A. Pielke. 2004. Modeling snow depth for improved simulation of snow-vegetation-atmosphere Interactions. Hydrometeorology 5:723 - 734.
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Estimating Scientific Impact: Steps Taken
Ask users for reprints of publications based on data sets obtained from the ORNL DAAC When they order the data and one year after they
ordered data
Review on-line services (e.g., Web of Science, Elsevier’s Science Direct) to see if ORNL DAAC or DAAC Projects are mentioned or if data have been cited in papers full text search, citation indices
Added Digital Object Identifiers (DOI) for each data product to facilitate tracking use of ORNL DAAC data in the literature
ORNL DAAChttp://daac.ornl.gov/
MODIS Toolshttp://daac.ornl.gov/MODIS/modis.shtml
Bob [email protected]`
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Provide tutorial on “Best Practices for Preparing Ecological Data to Share”
Cook et al. 2001 Bulletin ESA 82: 138 – 141 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 Update on-line:http://daac.ornl.gov/PI/pi_info.html
Best Practices for Preparing Ecological
and Ground-Based Data Sets
to Share and Archive
Robert B. Cook, Richard J. Olson,
Paul Kanciruk, and Leslie A. Hook
Environmental Sciences Division
Oak Ridge National Laboratory