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Dataset Overview | National Centers for Environmental Information (NCEI)

Satellite-Based Global Land Surface Datasets for Earth System Model Applications (NCEI Accession 0295750)

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This dataset includes key land surface properties based on various operational satellite measurements (e.g. MODIS, VIIRS and GEDI). They include the land surface type, vegetation clumping index, leaf area index, vegetative canopy height, and green vegetation fraction. Critical processing steps are taken to extend the surface properties for full global coverage, as well as gap-filling. All variables are gridded to universal global latitude/longitude gridded coordinates (-90° - 90° in latitude and 0° - 360° in longitude) with a consistent spatial resolution of 0.01° (~ 1 km). Currently, the dataset is available for a one year period (2020), and extension in time is expected.
  • Cite as: Hung, Wei-Ting; Campbell, Patrick C.; Baker, Barry; National Oceanic and Atmospheric Administration (2024). Satellite-Based Global Land Surface Datasets for Earth System Model Applications (NCEI Accession 0295750). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/qzm2-zg29. Accessed [date].
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Distribution Formats
  • Originator data format
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Distributor NOAA National Centers for Environmental Information
+1-301-713-3277
ncei.info@noaa.gov
Dataset Point of Contact NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Time Period 2020-01-01 to 2020-12-31
Spatial Bounding Box Coordinates
West: -180
East: 180
South: -90
North: 90
Spatial Coverage Map
General Documentation
Associated Resources
  • Hung, W.-T., Campbell, P., & baker, barry. (2024). High Resolution Global Land Surface Datasets using Satellite Measurements for Application to Earth System Models. NOAA Air Resources Laboratory. https://doi.org/10.25923/d06p-2333
Publication Dates
  • publication: 2024-09-10
  • creation: 2024-08-01
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
Purpose The high resolution global land surface dataset provides more realistic, updated surface information to the earth modeling systems rather than using prescribed surface type dependent tables and parameterizations.
Use Limitations
  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: Hung, Wei-Ting; Campbell, Patrick C.; Baker, Barry; National Oceanic and Atmospheric Administration (2024). Satellite-Based Global Land Surface Datasets for Earth System Model Applications (NCEI Accession 0295750). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/qzm2-zg29. Accessed [date].
Cited Authors
Principal Investigators
Collaborators
Contributors
Resource Providers
Publishers
Acknowledgments
  • Funding Agency: NOAA Air Resources Laboratory
Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • climatology
Global Change Master Directory (GCMD) Science Keywords Provider Keywords
  • Canopy height
  • Clumping index
  • Green vegetation fraction
  • Leaf area index
  • Surface type
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords
Platform keywords Provider Platform Names
  • Global Ecosystem Dynamics Investigation
  • Moderate Resolution Imaging Spectroradiometer
  • Visible Infrared Imaging Radiometer Suite
Instrument keywords NODC INSTRUMENT TYPES THESAURUS Global Change Master Directory (GCMD) Instrument Keywords Provider Instruments
  • GEDI
Place keywords Provider Place Names
  • Global
Project keywords Provider Project Names
  • George Mason University Air Surface Exchange and Atmospheric Composition Research (NOAA Sponsor Number: 79785-Z7554202 Amend A; CISESS Funding Number: NA19NES4320002)
  • NOAA In Canopy Processes Research (NOAA Sponsor Number: NA22OAR4590516)
Keywords NCEI ACCESSION NUMBER
Keywords Send2NCEI Submission Package ID
  • 6D0NHT
Use Constraints
  • Cite as: Hung, Wei-Ting; Campbell, Patrick C.; Baker, Barry; National Oceanic and Atmospheric Administration (2024). Satellite-Based Global Land Surface Datasets for Earth System Model Applications (NCEI Accession 0295750). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/qzm2-zg29. Accessed [date].
Access Constraints
  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees
  • In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
Lineage information for: dataset
Processing Steps
  • 2024-09-10T19:25:04Z - NCEI Accession 0295750 v1.1 was published.
Output Datasets
Lineage information for: dataset
Processing Steps
  • Parameter or Variable: Leaf area index (measured); Units: m2/m2; Observation Category: satellite; Sampling Instrument: VIIRS; Sampling and Analyzing Method: Original 8-day satellite product is downloaded from LP DAAC, converted to a monthly basis, and re-gridded to 0.01 (~ 1km) global coordinate. Missing gaps in the North Hemisphere from late fall to early spring are filled. More details can be found in the Technical Memorandum cited under Documentation
  • Parameter or Variable: Clumping index (measured); Units: n/a; Observation Category: satellite; Sampling Instrument: MODIS; Sampling and Analyzing Method: Origainal monthly satellite product is downloaded from the GriddingMachine, and re-gridded to 0.01 (~ 1km) global coordinate. Missing gaps in the North Hemisphere from late fall to early spring are filled. More details can be found in the Technical Memorandum cited under Documentation
  • Parameter or Variable: Surface type (measured); Units: n/a; Observation Category: satellite; Sampling Instrument: VIIRS; Sampling and Analyzing Method: Original annual satellite product is downloaded from STAR/NESDIS, and re-gridded to 0.01 (~ 1km) global coordinate. More details can be found in the Technical Memorandum cited under Documentation
  • Parameter or Variable: Canopy height (measured); Units: meter; Observation Category: satellite; Sampling Instrument: GEDI; Sampling and Analyzing Method: Orginal annual satellite product is downloaded from https://langnico.github.io/globalcanopyheight/, and re-gridded to 0.01 (~ 1km) global coordinate. More details can be found in the Technical Memorandum cited under Documentation
  • Parameter or Variable: Green vegetation fraction (measured); Units: n/a; Observation Category: satellite; Sampling Instrument: VIIRS; Sampling and Analyzing Method: Original annual satellite product is downloaded from STAR/NESDIS, and re-gridded to 0.01 (~ 1km) global coordinate. Missing gaps in the North Hemisphere from late fall to early spring are filled. More details can be found in the Technical Memorandum cited under Documentation
Acquisition Information (collection)
Instrument
  • MODIS
  • VIIRS
Last Modified: 2025-12-16T13:15:29Z
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