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U.S. Department of the InteriorU.S. Geological Survey

GFSAD @ LP DAACStacie Doman Bennett, LP DAAC Scientist

Dave Meyer, LP DAAC Project Scientist

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OUR GOALS

NASA MEaSUREsExpand Understanding of the Earth System Using Consistent Records

NASA LP DAACPreserve NASA’s Earth Science Data For Future Generations

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LP DAAC Data PreservationPreserve NASA’s Earth Science Data For Future Generations

Three aspects of preservation Maintain bits

No loss as data move across systems/media/time

Ensure readability No dependencies

Provide long-term understandability/reproducibility Documentation/data/

ancillary data & products Code!

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Algorithm Theoretical Basis Document

Each product made available to the users should have the theoretical basis description accessible from the product “landing page”.

The ATBD should: Be a clear description of the algorithms used to generate the products Be understandable to the intended users of the products Be applicable to the version of the product delivered to the DAAC

Datasets that use inputs for which ATBDs are available can just point to those ATBDs; but there needs to be documentation on how the delivered products were generated using those inputs. For example, using MODIS EVI as in input to a MEaSUREs product

algorithm

The form and review process used for an ATBD is at the discretion of the funding NASA Program Manager

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ATBD’s (con’t)

Content: Background/Intro Algorithm descriptions External dependencies/product interdependencies Approach to validation/uncertainty analysis Anticipated/known issues

Submitted manuscripts are acceptable (even preferred) if they address the above.

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GFSAD ECE Project Space

NASA Earthdata Collaborative Environment

URS Account Required Project space is

restricted to team View of events,

documentation, checklist deliverables received

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GFSAD ECE Collection Inception Checklist Project artifacts

required Description of

artifacts Status for delivery

of artifacts Started / completed

Developing reporting for NASA program manager / stakeholders

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U.S. Department of the InteriorU.S. Geological Survey

GFSAD @ LP DAACProvisional Dissemination

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LP DAAC Provisional Data DistributionGFSADCD1KM aka GCE V0.0

The GFSAD Global Crop Dominance at nominal 1KM (GFSADCD1KM), aka Global Cropland Extent 1km Crop Dominance (GCE V0.0), provides information on the spatial distribution of the five major global cropland types (wheat, rice, corn, barley, and soybeans), which occupy 60 percent of the total cropland area at nominal 1km. The map is produced by overlying the five major cropland types of the world produced by Ramankutty et al. (2008), Monfreda et al. (2008), and Portman et al. (2009) over the remote sensing derived global irrigated and rainfed cropland area map of the International Water Management Institute (IWMI; Thenkabail et al., 2009a, 2009b, 2011). The GFSADCD1KM product is an 8 class digital product that provides, at nominal 1 km, information on global: 1. Cropland extent\areas; 2. irrigated versus rainfed cropping; 3. Crop dominance; and 4. Cropping intensity (single, double, triple, and continuous crops).

Geographic Extent: GlobalMap Projection: Geographic (Lat/Long)Datum: World Geodetic System 84Raster Type: ThematicSpatial Coordinates: Min/Max Longitude -180 to 180, Min/Max Latitude -90 to 90Temporal Coverage: Nominal Year 2000Columns: 40430, Rows: 20160Size: 845MB

Class Class Name

1 Irrigated: wheat and rice dominant

2 Irrigated: mixed crops 1: wheat, rice, barley, soybeans

3 Irrigated: mixed crops 2: corn, soybeans, barley, wheat, rice

4 Rainfed: wheat, rice, soybeans dominant

5 Rainfed: wheat and barley dominant

6 Rainfed: corn and soybeans dominant

7 Rainfed mixed crop 1: wheat, corn, rice, barley, and soybeans

8 Minor fractions of mixed crops: wheat, maize, rice, barley, soybeans

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LP DAAC Provisional Data DistributionGFSADCM1KM aka GCE V1.0

The GFSAD Multi-Study Global Crop Mask (GFSADCM1KM), aka Global Crop Extent (GCE V1.0), provides the spatial distribution of a disaggregated five class global cropland extent map derived at nominal 1km based on four major studies: Thenkabail et al. (2009a, 2011), Pittman et al. (2010), Yu et al. (2013), and Friedl et al. (2010). Classes 1 to Class 5 are cropland classes, that are dominated by irrigated and rainfed agriculture. Class 4 and Class 5 have minor/very minor fractions of croplands. GCE 1KM Multi-study Crop Mask is a 5 class digital product that provides, at nominal 1 km, information on global: 1. cropland extent\areas, 2. irrigated versus rainfed cropping. There is no crop type or crop type dominance information. Cropping intensity (single, double, triple, and continuous crops) can be obtained for every pixel using time-series remote sensing data.

Geographic Extent: GlobalMap Projection: Geographic (Lat/Long)Datum: World Geodetic System 84Raster Type: ThematicSpatial Coordinates: Min/Max Longitude -180 to 180, Min/Max Latitude -90 to 90Temporal Coverage: Nominal Year 2000Columns: 40457, Rows: 20188Size: 25.67MB

Class Class Name

1 Croplands, irrigation major

2 Croplands, irrigation minor

3 Croplands, rainfed

4 Croplands, rainfed minor fragments

5 Croplands, rainfed very minor fragments

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EMS Tool

Capture provisional data distribution

Reporting to NASA stakeholders

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U.S. Department of the InteriorU.S. Geological Survey

GFSAD @ LP DAACProducts / Algorithms

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GCE Products + Versions

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1KM 250M 30M

Crop Mask(V1.0)

Global

Crop Dominance(V0.0, V2.0, V3.0)

Global Global Global

GCE Products + Versions

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Algorithm(s) Resolution(s)

1 Crop Mask – Global 1km

2 Crop Dominance – Global 1km

3 Crop Dominance – North America 250m, 30m

4 Crop Dominance – South America 250m, 30m

5 Crop Dominance – Europe 250m, 30m

6 Crop Dominance – Asia 250m, 30m

7 Crop Dominance – Southeast Asia 250m, 30m

8 Crop Dominance – Australia 250m, 30m

9 Crop Dominance – Africa 250m, 30m

10 Crop Dominance – India 250m, 30m

GCE Unique Algorithms

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GCE GFSAD Products & Algorithms Discussion

Quality / Accuracy Will be assessed per region

How do products relate to versions One global product (current

GCE path)

How do algorithms relate to versions? Potentially 10+ algorithms

w/in one version How is/are version(s)

updated when an algorithm is updated?

How are data archived? Three global products at

three versions (current GCE path @ 1km/250m/30m)

Three global products at one version (1km 1.0, etc)

Ten regional products with unique versions?

How are data discovered/delivered? By resolution By region

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GFSAD Team Field & Crowdsourced DataDiscussion

How are quality/accuracy determined? Included in Product Quality

assessment?

How do data relate to versions? Unrelated to algorithms = not

included in versioning Related to algorithms = included

in versioning

How are data archived? Ancillary files? QA files?

Are / How are data discovered/delivered? Embedded/Layered in product

download? Optional / additional product

download?

What are data provenance? Can data be filtered out of

final product? What are the impacts of

filtering regarding training / validation?

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