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Description

The MOD09GQ Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD09GQ Version 6.1 data product.

The MOD09GQ Version 6 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter (m) bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the 250 m surface reflectance bands are the Quality Assurance (QA) layer and five observation layers. This product is intended to be used in conjunction with the quality and viewing geometry information of the 500 m product (MOD09GA).

Known Issues

  • Striping due to a dead detector is noticeable for bands 5, 6, and 7 in scenes acquired February 24 through October 31, 2000. Corrections were implemented to reduce the striping in data acquired after November 1, 2000. Users should always check the band quality for dead detectors even though reflectance values may be in the valid range.
  • The Collection 6 MODIS Land Surface Reflectance product (MOD09) may incorrectly flag retrievals as ‘High Aerosol’ over brighter surfaces and at higher view angles. This will impact the downstream MODIS BRDF/Albedo (MCD43) and Vegetation Index (MOD13 and MYD13) data products which use the aerosol quantity flag to screen out high aerosol values.
  • Corrections were implemented in Collection 6.1 reprocessing.
  • For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.

Version Description

The following changes and improvements were implemented for inputs to MODIS Version 6 aqua surface reflectance data products: (1) Improvements to the aerosol retrieval and correction algorithm along with new aerosol retrieval look-up tables, (2) Refinements to the internal snow, cloud, and cloud shadow detection algorithms. Uses Bidirectional Reflectance Distribution Function (BRDF) database to better constrain the different threshold used, (3) Processes ocean bands to create a new Surface Reflectance Ocean product and provides Quality Assurance (QA) datasets for these bands, and (4) Improved discrimination of salt pans from cloud and snow, along with the inclusion of a salt pan flag in the QA band.

Product Summary

Platforms
Terra
Instruments
MODIS
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
250 Meters x 250 Meters
Spatial Reference System(s)
MODIS Sinusoidal Tiling System
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2000-02-24 to 2023-02-17
Temporal Resolution
1 Day
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC) ,
MODIS Adaptive Processing System, Terrestrial Information Systems Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/MODAPS)
Concept ID
C2763297190-LPCLOUD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
2G
Published
Updated
Science Keywords
Reflectance

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Vermote, E., & Wolfe, R. (2015). MOD09GQ MODIS/Terra Surface Reflectance Daily L2G Global 250m SIN Grid V006 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD09GQ.006 Date Accessed: 2026-02-17

File Naming Convention

MOD09GQ.A2002281.h33v11.006.2015151071841.hdf

The file name begins with the Product Short Name (MOD09GQ) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002281), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h33v11), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151071841), and the Data Format (hdf).

Documents

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Publications Citing This Dataset

Filters
Title Year Author
Interannual variability of spring fire in southern Nepal Hamal, K.
Remote estimates of total suspended matter in China's main estuaries using Landsat images and a weight random forest model Wang, X.
Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products Franquesa, M.
Regional index insurance using satellite-based fractional flooded area Tellman, B.
Temporal variability of surface reflectance supersedes spatial resolution in defining Greenland’s bare-ice albedo Irvine-Fynn, T. D. L.
Article integrating modis and landsat data for land cover classification by multilevel decision rule Guan, X.
CLASSIC v1.0: The open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) - Part 2: Global benchmarking Seiler, C.
Using modis-ndvi time series to quantify the vegetation responses to river hydro-geomorphology in the wandering river floodplain in an arid region Ablat, X.
Understanding temporary reduction in atmospheric pollution and its impacts on coastal aquatic system during COVID-19 lockdown—a case study of South Asia Shafeeque, M.
Determining temporal uncertainty of a global inland surface water time series Mayr, S.
SHOWING 10 OF 41

Variables

The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.

For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor
granule_pnt_1 Granule pointer N/A uint8 255 0 to 254 N/A
iobs_res_1 Observation number N/A uint8 255 0 to 254 N/A
num_observations Number of observations per pixel N/A int8 -1 0 to 127 N/A
obscov_1 Observation coverage Percent int8 -1 0 to 100 0.01
orbit_pnt_1 Orbit pointer N/A int8 -1 0 to 15 N/A
QC_250m_1 Surface Reflectance 250m Quality Assurance Bit Field uint16 2995 0 to 4096 N/A
sur_refl_b01_1 Surface Reflectance Band 1 N/A int16 -28672 -100 to 16000 0.0001
sur_refl_b02_1 Surface Reflectance Band 2 N/A int16 -28672 -100 to 16000 0.0001
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