MODIS Derived 1.24 micron white-sky albedo on a global, 1-minute equal angle grid (Collection 004 and 005)

Metadata Updated: August 9, 2018

The Filled Land Surface Albedo Product is a global data set of spatially complete albedo maps. It was derived from the MODIS MOD43B3 Land product and includes both &white-sky& and &black-sky& conditions. With each sky condition, there are 10 wavelengths (0.47 ??m, 0.55 ??m, 0.67 ??m, 0.86 ??m, 1.24 ??m, 2.1 ??m, 0.3-0.7 ??m, 0.3-5.0 ??m, and 0.7-5.0 ??m) and 23 sixteen-day periods per year (001, 017, ... 353). There are two types of Filled Land Surface Albedo Products: 1-minute Map Products and coarser resolution Statistical Products.

  Map products contain spatially complete land surface albedo data and
  are generated at 1-minute resolution on an equal-angle grid. Quality
  Assurance (QA) features are built into each Map product at same
  1-minute resolution as the albedo data. Maps are stored in separate
  HDF files for each albedo type (white- and black-sky), wavelength, and
  16-day period.

  Research and Application
  The availability of global land surface characteristics and albedo data over a
  wide range of spectral bands and at high spatial
  resolution has dramatically improved with the launch of the MODIS
  instrument aboard NASA's Earth Observing System (EOS)
  spacecraft. However, lack of spatial and temporal coverage due to
  cloud and snow effects can preclude utilization of official products
  in production and research studies.

  The Filled Land Surface Albedo Product has been developed by employing
  phenological temporal curve fitting to statistically fill missing data
  in the official MOD43B3 product in order to provide spatially complete
  global maps. Additionally, statistics of the complete albedo maps at
  various resolutions, an ecosystem classification, as well as a
  Normalized Difference Vegetation Index (NDVI) product computed from
  the complete albedo maps, are provided.

  Spectral land surface albedo is an important parameter for describing
  the radiative properties of the Earth while the ecosystem
  classification and NDVI products are important parameters in
  describing the productivity and characteristics of the land
  surfaces. These products reflect the consequences of natural and human
  interactions, such as anthropogenic, meteorological, and phenological
  effects on local and global climatological trends. Consequently, these
  products are integral parts in a variety of research areas, such as
  general circulation models (GCMs), energy balance studies, modeling of
  land use and land use change, as well as biophysical, oceanographic,
  and meteorological studies. 

  Data set information:

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date August 9, 2018
Metadata Updated Date August 9, 2018

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 9, 2018
Metadata Updated Date August 9, 2018
Unique Identifier C1219032397-LAADS
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Schema Version
Catalog Describedby
Harvest Object Id f0f8ddc1-9f9d-4e53-94ad-ae052850dbcd
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 1970-01-01T00:00:00.000Z
Homepage URL
Language en-US
Metadata Type geospatial
Data Last Modified 1970-01-01T00:00:00.000Z
Program Code 026:001
Publisher Hierarchy U.S. Government > National Aeronautics and Space Administration > NASA/GSFC/SED/ESD/HBSL/BISB/LAADS
Related Documents,,,,,,,,
Source Datajson Identifier True
Source Hash 9cde1ec3eb0a6b1acf5848bed5030d09856ce8d1
Source Schema Version 1.1
Spatial -180.0 -90.0 180.0 90.0
Temporal 2004-01-01T00:00:00Z/2004-12-19T23:59:59Z
Category EOS, EOSDIS, geospatial

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