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

GFSAD @ LP DAACDave Meyer, LP DAAC Project Scientist

Stacie Doman Bennett, LP DAAC ScientistChris Doescher, LP DAAC Project Manager

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LP DAAC + MEaSUREs GOALS

Expand Understanding of the Earth System Using Consistent Records

Preserve NASA’s Earth Science Data For Future Generations

Data Preservation & Distribution

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LP DAAC -> GFSAD TeamReminders

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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 Future of Mobile Application

NASA Global Cropland Data App – it’s more beneficial than geocaching!

How can this app be used in the future?

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ATBD / NASA ESDIS Data Template

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GFSADData Management Plan

EOSDIS Data Template / NASA DMP Project Overview

Project Objectives Science Objectives Mission Summary Instrument Overview

Project Data Flow Mission Operations Science Operations

Products Science Data Product Summary Associated Archive Products

Special Considerations

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GFSAD Product Formats

NASA encourages use of Climate and Forecast (CF) Metadata Conventions.

Using CF conventions will enhance data discoverability, accessibility and usability.

NASA standards and references: HDF 5 HDF EOS 5 NetCDF Classic NetCDF-4/HDF5 File Format OGC KML International Consortium for At

mospheric Research on Transport and Transformation (ICARTT) File Format Standards

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GFSADProvisional Data / Team Space

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GFSADProvisional Data / Team Space

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GFSADWMS @ LP DAAC

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GFSADWMS @ LP DAAC

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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: 845MBClass Class Name

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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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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

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1 Croplands, irrigation major

2 Croplands, irrigation minor

3 Croplands, rainfed

4 Croplands, rainfed minor fragments

5 Croplands, rainfed very minor fragments