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Description

The MYD09GQ Version 6.1 product provides an estimate of the surface spectral reflectance of Aqua 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 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 (MYD09GA).

Known Issues

  • Prior to the Aqua MODIS launch, Band 6 exhibited several anomalous detectors. Band 6 performance degraded seriously after launch and presently a majority of the Band 6 detectors are non-functional. Science users should read and use the non-functional detector flags and decide for themselves the optimum manner to handle non-functional detector "gaps" for their products. For complete information please refer to the MODIS Characterization Support Team (MCST) website.
  • 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 6.1 surface reflectance data products: (1) Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 – 2017, and (2) A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).

Product Summary

Platforms
Aqua
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
2002-07-04 to Present
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
C2343109950-LPCLOUD
Data State
ACTIVE
Number of Files/Granules
2705448
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. (2021). MODIS/Aqua Surface Reflectance Daily L2G Global 250m SIN Grid V061 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MYD09GQ.061 Date Accessed: 2026-05-08

File Naming Convention

MYD09GQ.A2025222.h00v09.061.2025224032058.hdf

The file name begins with the Product Short Name (MYD09GQ) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025222), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h00v09), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025224032058), and the Data Format (hdf).

Documents

USER'S GUIDE

ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)

PRODUCT QUALITY ASSESSMENT

SCIENCE DATA PRODUCT VALIDATION

GENERAL DOCUMENTATION

Publications Citing This Dataset

Filters
Title Year Author Topic
Global estimates of the storage and transit time of water through vegetation Felton, Andrew J., Fisher, Joshua B., Hufkens, Koen, Purdy, Adam J., Spawn-Lee, Seth A., Duloisy, Lou F., Goldsmith, Gregory R. Biomass, Forests, Grasslands, Alpine/Tundra, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Surface Pressure, Air Temperature, Specific Humidity, Surface Winds, Wind Speed, Geopotential Height, Heat Flux, Skin Temperature, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Reflectance, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover
Incorporating environmental stress improves estimation of photosynthesis Gao, Lun, Guan, Kaiyu, Jiang, Chongya, Lu, Xiaoman, Wang, Sheng, Ainsworth, Elizabeth A., Wu, Xiaocui, Chen, Min Reflectance, Photosynthetically Active Radiation, Plant Characteristics, REFLECTED INFRARED, Gross Primary Production (gpp), Land Use/Land Cover Classification
VALIDATION OF NUMERICAL MODEL FOR COASTAL CURRENT FIELD IN THE BAY OF BENGAL NIIMI, Masaki, NAKAGAWA, Yasuyuki, KOSAKO, Taichi, KUSUHARA, Keisuke, TAMURA, Tamotsu, TAKEYASU, Kimika Reflectance, Salinity
Large-area soil mapping based on environmental similarity with adaptive Fan, Xingchen, Fan, Naiqing, Qin, Cheng-Zhi, Zhao, Fang-He, Zhu, Liang-Jun, Zhu, A-Xing Reflectance
Synergy between TROPOMI sun-induced chlorophyll fluorescence and MODIS spectral reflectance for understanding the dynamics of gross primary ... Balde, Hamadou, Hmimina, Gabriel, Goulas, Yves, Latouche, Gwendal, Soudani, Kamel Reflectance
A wildfire growth prediction and evaluation approach using Landsat and MODIS data Radocaj, Dorijan, Jurisic, Mladen, Gasparovic, Mateo Reflectance, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES
Exploring discrepancies between in situ phenology and remotely derived Donnelly, Alison, Yu, Rong, Jones, Katherine, Belitz, Michael, Li, Bonan, Duffy, Katharyn, Zhang, Xiaoyang, Wang, Jianmin, Seyednasrollah, Bijan, Gerst, Katherine L., Li, Daijiang, Kaddoura, Youssef, Zhu, Kai, Morisette, Jeffrey, Ramey, Colette, Smith, Kathleen Plant Phenology, Enhanced Vegetation Index (EVI), Plant Characteristics, Vegetation Cover, Vegetation Index, Reflectance
Digital soil mapping with adaptive consideration of the applicability of environmental covariates over large areas Fan, Nai-Qing, Zhao, Fang-He, Zhu, Liang-Jun, Qin, Cheng-Zhi, Zhu, A-Xing Reflectance
A daily, 250 m and real-time gross primary productivity product (2000present) covering the contiguous United States Jiang, Chongya, Guan, Kaiyu, Wu, Genghong, Peng, Bin, Wang, Sheng RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Reflectance, Albedo, Anisotropy, Photosynthetically Active Radiation, Plant Characteristics, REFLECTED INFRARED, Gross Primary Production (gpp)
A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas Campagnolo, M.L., Libonati, R., Rodrigues, J.A., Pereira, J.M.C. Reflectance, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Burned Area, Fire Dynamics, Land Use/Land Cover Classification
Challenges in predicting Greenland supraglacial lake drainages at the regional scale Poinar, Kristin, Andrews, Lauren C. Reflectance, Ice Velocity
Changes in the greenness of mountain pine (Pinus mugo Turra) in the subalpine zone related to the winter climate Lukasova, Veronika, Bucha, Tomas, Marekova, Lubica, Buchholcerova, Anna, Bicarova, Svetlana Reflectance
Water and hydropower reservoirs: High temporal resolution time series derived from MODIS data to characterize seasonality and variability Klein, Igor, Mayr, Stefan, Gessner, Ursula, Hirner, Andreas, Kuenzer, Claudia Reflectance, Total Surface Water
Exploring viirs continuity with modis in an expedited capability for monitoring drought-related vegetation conditions Benedict, Trenton D., Brown, Jesslyn F., Boyte, Stephen P., Howard, Daniel M., Fuchs, Brian A., Wardlow, Brian D., Tadesse, Tsegaye, Evenson, Kirk A. Reflectance
Impacts of reduced deposition of atmospheric nitrogen on coastal marine eco-system during substantial shift in human activities in the twenty-first century Mumtaz, Faisal, Arshad, Arfan, Mirchi, Ali, Tariq, Aqil, Dilawar, Adil, Hussain, Saddam, Shi, Shuaiyi, Noor, Rabeea, Noor, Rizwana, Daccache, Andre, Siddique, Muhammad Amir, Bashir, Barjeece, Li, Lingling, Wang, Dakang, Tao, Yu Reflectance
Determining temporal uncertainty of a global inland surface water time series Mayr, Stefan, Klein, Igor, Rutzinger, Martin, Kuenzer, Claudia Reflectance
Spatial homogeneity from temporal stability: Exploiting the combined hyper-frequent revisit of Terra and Aqua to guide Earth System Science Duveiller, Gregory, Camps-Valls, Gustau, Ceccherini, Guido, Cescatti, Alessandro Reflectance
Relationship between MODIS derived NDVI and yield of cereals for selected European countries Panek, Ewa, Gozdowski, Dariusz Reflectance
Spatial-temporal distribution of the freezethaw cycle of the largest lake (Qinghai lake) in china based on machine learning and modis from 2000 to 2020 Han, Weixiao, Huang, Chunlin, Gu, Juan, Hou, Jinliang, Zhang, Ying Reflectance
Start of the green season and normalized difference vegetation index in Alaska's Arctic National Parks Swanson, David K. Reflectance
The ARYA crop yield forecasting algorithmApplication to the main wheat exporting countries Franch, B., Vermote, E., Skakun, S., Santamaria-Artigas, A., Kalecinski, N., Roger, J.-C., Becker-Reshef, I., Barker, B., Justice, C., Sobrino, J.A. Reflectance, Land Surface Temperature, Emissivity
Total suspended matter distribution in the Hooghly River Estuary and the SundarbansA remote sensing approach Jayaram, Chiranjivi, Patidar, Girish, Swain, Debadatta, Chowdary, V. M., Bandyopadhyay, Soumya Reflectance
Systematic water fraction estimation for a global and daily surface water time-series Mayr, Stefan, Klein, Igor, Rutzinger, Martin, Kuenzer, Claudia Reflectance, Anisotropy, Total Surface Water
Wave effects on sediment dynamics in a macro-tidal estuaryDarwin Harbour, Australia during the monsoon season Yang, Gang, Wang, Xiao Hua, Zhong, Yi, Cheng, Zhixin, Andutta, Fernando P. Reflectance
FuelNet: An Artificial Neural Network for Learning and Updating Fuel Types for Fire Research Pickell, Paul D., Chavardes, Raphael D., Li, Shuojie, Daniels, Lori D. Reflectance
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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 Offset
granule_pnt _1 Granule pointer N/A uint8 255 0 to 254 N/A N/A
iobs_res_1 Observation number N/A uint8 255 0 to 254 N/A N/A
num_observations Number of observations per 250m pixel N/A int8 -1 0 to 127 N/A N/A
obscov_1 Observation coverage Percent int8 -1 0 to 100 0.01 N/A
orbit_pnt_1 Orbit pointer N/A int8 -1 0 to 15 N/A N/A
QC_250m_1 Surface Reflectance 250m Quality Assurance Bit Field uint16 2995 0 to 4096 N/A N/A
sur_refl_b01_1 Surface Reflectance Band 1 N/A int16 -28672 -100 to 16000 0.0001 N/A
sur_refl_b02_1 Surface Reflectance Band 2 N/A int16 -28672 -100 to 16000 0.0001 N/A
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