1 ORNL DAAC Data Products and Tools Robert Cook Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge, TN NSIDC User Working Group Meeting Washington, DC October 14, 2010

2 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

3 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

4 ORNL DAAC: Data Collections 3. Regional and Global Global Studies (176) Studies (176) Climate Soils Vegetation Hydroclimatology 2. Validation of Land Products (21) Total Data Sets = Field Campaigns (670) FIFE OTTER SNF BOREAS LBA SAFARI 2000 BOREAS LBA S2K In-situ Observations ? Remote Sensing LAI/fPAR NPP Land Validation MODIS Subsets FLUXNET NPP BigFoot LAI/fPAR NPP 4. Model Products (9) Benchmark Models IBIS, BIOME-BGC, LSM Manuscript Models PNeT, Century, Biome-BGC

5 MODIS Land Product Subsetting Tools In a scale and format (text, GeoTIFF) useful for field researchers Three methods to obtain subsets 1.Tool for 1,147 selected sites 2.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

6 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

7 LTER site in Minnesota: Cedar Creek Natural Resources Area Google Earth, Google Map and LandSat views of site MODIS Article in LTER Newsletter

8 LTER site in Minnesota: Cedar Creek Natural Resources Area Center Pixel Mean Value of Pixels Percent of Pixels that meet QC Criteria

9 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 message containing a URL where the output can be accessed MODIS Products offered through the subsetting tool for Globe Surface Reflectance Surface Temperature Land Cover Vegetation Phenology NDVI / EVI LAI / fPAR Net Photosynthesis Annual NPP Albedo (calc) Reflectance – BRDF Adjusted Second Tool: Global Tool for any Location on Earth

10 Second Tool: Global Tool for any Location on Earth Example Site in Rondonia ,

11 Can select GeoTIFF, in addition to text (ASCII)

12 MODIS Land Cover for the Site

13 Stackable time series Center Pixel Mean Value of Pixels Percent of Pixels that meet QC Criteria

14 Grid Visualization for Nov 1-16, 2001 White: Filtered pixels Black: Center pixel

15 NDVI / Phenology NDVI for site near Richmond, VA

16 Land Cover Dynamics (Phenology) (MOD12Q2) Site near Richmond Day of the Year

Demonstration of Global Tool S3L3_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

19 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

20 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.

21 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 LBA-ECO CD-08 Tropical Forest Ecosystem Respiration, Manaus, Brazil. Data set. Available on-line [ from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. doi: /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 23

24 Example of paper that cites DAAC data Strack, J.E., G.E. Liston, and R.A. Pielke Modeling snow depth for improved simulation of snow-vegetation-atmosphere Interactions. Hydrometeorology 5:

25 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 DAAC MODIS Tools Bob Cook 26

27 Provide tutorial on “Best Practices for Preparing Ecological Data to Share”  Cook et al 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: 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