Terrestrial Ecology Working GroupData Products and Access

Teleconference

May 2, 2011

Working Group Members

2

Name Organization

Bob Cook (Chair) Environmental Sciences Division, ORNL

Kamel Didan The University of Arizona

Eileen Helmer USDA Forest Service

Cheng Huang University of Maryland

Michael Kellerl USDA Forest Service LBA

Sarah Lundeen JPL

Ranga Myneni Boston University

Joanne Nightingale Sigma Space Corporation / NASA GSFC

Stephen Ogle Colorado State University

Flavia Pezzini PPBio INPA, Brazil

Bin Tan ERT/NASA GSFC

Data WG

Agenda

Introduction

WG Goals / Charter

Discussion

3Data WG

Data Products and Data Access Working Group: Charter (1/3)

1. What new data products would advance TE research goals?

TE Research Goals: http://cce.nasa.gov/terrestrial_ecology/about.html

*Data Products such as:-long-term data records that need to be created or better supported

-enhancing existing data products (EOS and PI-led efforts)

-new mission and cross-mission data products (current and future)

-data from non-NASA data sources

2. How could the TE program invest resources to make data sets easier to access, manipulate, and combine with other sources of information and/or models?

-may involve semantics, metadata, physical formatting, and "high grading" (e.g. improving quality via filtering, gap-filling, etc), as well as the availability of software tools and services

Data WG 4

Data Products and Data Access Working Group: Charter (2/3)

Members will be expected to bring their own perspectives, but also represent broader research constituencies.

Working Group will have connections with other TE Working Groups, including those for Modeling, Field Campaigns, and Airborne Observations

Provided an issue is relevant to TE field campaigns and of importance to the TE community, the WG will have the ability to identify a new issue for its consideration and develop the agenda to address it, for example: Recommend inclusion in a new NASA solicitation (e.g., MEASURES,

ACCESS, etc.)

Establish an informal consortium

Other approaches

5Data WG

Data Products and Data Access Working Group: Charter (3/3)

Details regarding the operations of the WG will be determined by the WG in consultation with the CC&E Office and the TE Program Manger.

Recommendations from the working group will be conveyed to the CC&E Office and the TE Program Manager for their consideration and potential implementation.

Recommendations will be shared with the broad TE community through the TE Web site and other appropriate means.

Does the charter need to be modified?

6Data WG

Discussion

What new data products* would advance TE research goals? TE Research Goals:

http://cce.nasa.gov/terrestrial_ecology/about.html 

*Data Products such as:• long-term data records that need to be created or better supported

• enhancing existing data products (EOS and PI-led efforts)

• new mission and cross-mission data products (current and future)

• non-NASA data sources?

7Data WG

What new data products would advance TE research goals? (WG ranking)

1. High spatial and temporal resolution (1-km and 3-hourly) climate, Global coverage. Climate data to include PAR and diurnal variability needed to drive land-surface model/photosynthesis schemes.

2. Gridded species richness and occurrence data to look at biodiversity (at 25-km resolution). Plants and animals (eBird database). (PPBio-INPA in Amazonia)

3. Multi-faceted product containing forest height, biomass, and age. (Combining many existing products (LIDAR, LEDAPS).

4. Global database of ground-based in situ validation data for remote sensing products. Forest inventory data (e.g., Height, basal area, biomass, age, crown dimensions of forest study plots globally (validation / evaluation data set).

5. Ground-based data to validate remote sensing products (improved spatial representativeness; match ground-based spatial resolution with that of the satellite data)

6. Hyperspectral Reference Library of leaf-level hyperspectral optical properties (full spectrum; biogeochemical content) and soil reflectivity. Collected using standard measurement techniques; full contextual information.

7. Long-term data records for dynamics of inland waters, cloud corrected global irradiance, atmospheric optical properties, in addition to the existing MEASURES products (landsat, NDVI, etc.).

8. High-spatial resolution soil data, including type and depth

9. Ancillary data to support interpretation of data from new NASA sensors

10. Gridded products that help us understand land management (not just land cover) are important for substantially improving (a) estimates of carbon fluxes, and (b) reducing uncertainty.

11. Global gridded data on land-cover, land-use, land-use transitions, and land cover changes (past, present, future)

12. Expand spatial and temporal coverage: 4. LEDAPS (J. Masek, GSFC)

13. Expand spatial and temporal coverage: 5. Global Fire Emissions Dataset – GFED (J. Randerson, UCI)

14. Expand spatial and temporal coverage: 6. VULCAN Fossil Fuel Emissions (K. Gurney, Purdue)

Data WG 8

How could the NASA's TE program invest resources to make data sets easier to prepare, access, manipulate, and combine with other sources of information and/or models? (WG Ranking)

1. Data coordinator to act as a liaison between investigator and data center; make it easier for investigator to compile and submit data to a data repository. Responsible for seeing that data from PI gets into the archive in a suitable form and well documented.

2. Data publications containing raw data produced in funded projects, as well as that used in journal articles, so that others can use data for other purposes

3. Single portal that enables exploration and access to Earth Science data including visualization; data are readily integrated.

4. Require a policy to make data readily available 12 months after collection in a standard format to facilitate use (and metadata readily available after 30 days).

5. Extract and integrate multiple remote sensing products for a small area over time (AVHRR, MODIS, LEDAPS (reflectance and disturbance), LandSat, etc.).

6. Develop tutorials/ curricula / class room material tutorials on how to prepare data to share.

7. NASA could facilitating the expeditious preparation of data and metadata for sharing, including preparing data products in a standard formats with standard variables.

8. Community standards for TE-relevant variables and data files

9. Recommend that accuracy and uncertainty be fully characterized and included with each product (integral part of the data product) for remote sensing and ground-based (in situ) data.

10.Methods to access data in time centric methods.

11.Timely access to airborne data

12.Tools to propagate uncertainty (in quadrature)

Data WG 9

Next steps:

Combine data and services with TE Modeling working group Solicit feedback from larger TE community

Develop an agenda to address data and services needs

Next telecon: ~August

10Data WG

Additional Material:Full list of data and services

Data WG 11

What new data products would advance TE research goals? (1/2)

Data WG 12

1 Global re-GAP data set, incorporating LIDAR

2High spatial and temporal resolution (1-km and 3-hourly) climate, Global coverage. Climate data to include PAR and diurnal variability needed to drive land-surface model/photosynthesis schemes.

3Gridded species richness and occurrence data to look at biodiversity (at 25-km resolution). Plants and animals (eBird database). (PPBio-INPA in Amazonia)

4High spatial (30-m) and temporal resolution (every 3 to 5 years) Land Cover and Land Cover Change (LandSat based).

5High spatial resolution remote sensing products for use with cropland data layers (e.g., MODIS at 250-m; crops at 30-m (TM-type) resolution). 1: LandSat used to downscale MODIS.

6High spatial resolution remote sensing products for use with cropland data layers (e.g., MODIS at 250-m; crops at 30-m (TM-type) resolution). 2: LandSat and Spot combined to obtain higher temporal resolution (seasonal).

7 Hyperspectral Reference Library of leaf-level hyperspectral optical properties (full spectrum; biogeochemical content) and soil reflectivity. Collected using standard measurement techniques; full contextual information.

8Multi-faceted product containing forest height, biomass, and age. (Combining many existing products (LIDAR, LEDAPS).

9Global database of ground-based in situ validation data for remote sensing products. Forest inventory data (e.g., Height, basal area, biomass, age, crown dimensions of forest study plots globally (validation / evaluation data set).

10Ground-based data to validate remote sensing products (improved spatial representativeness; match ground-based spatial resolution with that of the satellite data)

11 Data on fate of harvested products

12Global gridded data on land-cover, land-use, land-use transitions, and land cover changes (past, present, future)

What new data products would advance TE research goals? (2/2)

Data WG 13

13Long-term data records for dynamics of inland waters, cloud corrected global irradiance, atmospheric optical properties, in addition to the existing MEASURES products (landsat, NDVI, etc.).

14 High-spatial resolution soil data, including type and depth 15 Global data on soil carbon stocks, litter16 Ancillary data to support interpretation of data from new NASA sensors (e.g., DESDnyI)

17 Gridded products that help us understand land management (not just land cover) are important for substantially improving (a) estimates of carbon fluxes, and (b) reducing uncertainty.

18 Atmospheric tracers((N2O, CO) in addition to CO2 for top-down inversion estimates/constraints.

19 N pools and fluxes for crop production, fertilizer use and efficiency, nitrate leaching and N gas emissions, and nitrogen deposition, with a resolution of 0.5 X 0.5 degree at global scale.

20 new MISR product with atmospheric correction and improved ease-of-use (cf MODIS)21 new LandSat Product with atmospheric correction and georegistration (cf MODIS). Isn't this WELD?

22 Expand spatial and temporal coverage: 1. National Biomass and Carbon Dataset (J. Kellendorfer, WHRC)

23 Expand spatial and temporal coverage: 2. North American ASTER Land Emissivity (S. Hook, JPL)24 Expand spatial and temporal coverage: 3. North American Forest Dynamics (S. Goward, UMD)25 Expand spatial and temporal coverage: 4. LEDAPS (J. Masek, GSFC)26 Expand spatial and temporal coverage: 4. Global Fire Emissions Dataset – GFED (J. Randerson, UCI)27 Expand spatial and temporal coverage: 5. VULCAN Fossil Fuel Emissions (K. Gurney, Purdue)

28Data products for evaluating and improving model performance (I-LAMB parameters) LAI, NPP, CO2 annual cycle (phase & amplitude), energy & CO2 flux

How could the NASA's TE program make data sets easier to prepare, access, manipulate, and combine with other sources of information and/or models?

Data WG 14

No Category Description

1 policyRequire a policy to make data readily available 12 months after collection in a standard format to facilitate use (and metadata readily available after 30 days).

2 training Develop tutorials/ curricula / class room material tutorials on how to prepare data to share.

3 training Develop tutorials/ curricula / class room material on how to access and use data products.

4 preparation

Data coordinator to act as a liaison between investigator and data center; make it easier for investigator to compile and submit data to a data repository. Responsible for seeing that data from PI gets into the archive in a suitable form and well documented.

5 preparationNASA could facilitating the expeditious preparation of data and metadata for sharing, including preparing data products in a standard formats with standard variables.

6 preparation Community standards for TE-relevant variables and data files

7 preparationRecommend that accuracy and uncertainty be fully characterized and included with each product (integral part of the data product) for remote sensing and ground-based (in situ) data.

8 discoverSingle portal that enables exploration and access to Earth Science data including visualization; data are readily integrated.

9 discover Obtaining large volume data in an efficient manner (faster internet transfer rates)11 discover Methods to access data in time centric methods.12 discover Timely access to airborne data

13discover and

integrateExtract and integrate multiple remote sensing products for a small area over time (AVHRR, MODIS, LEDAPS (reflectance and disturbance), LandSat, etc.).

14 analysis Tools to propagate uncertainty (in quadrature)

15archive

Data publications containing raw data produced in funded projects, as well as that used in journal articles, so that others can use data for other purposes.