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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: 2026-05-01

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 Topic
What is the (real) rate of soil health practice adoption? Making sense of three data sources McGill, Bonnie M., Hively, W. Dean, Puntel, Laila A., Shriver, John, Thieme, Alison N., Manter, Daniel K., Moore, Jennifer M. Reflectance
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
AI-Based Downscaling of MODIS LST Using SRDA-Net Model for High-Resolution Data Generation Ma, Hongxia, Mao, Kebiao, Yuan, Zijin, Xu, Longhao, Shi, Jiancheng, Guo, Zhonghua, Qin, Zhihao Reflectance, Land Surface Temperature, Emissivity, Albedo, Anisotropy, Land Use/Land Cover Classification
Spatiotemporal trends of rubber defoliation and refoliation and their responses to abiotic factors in the northern edge of the Asian tropics Chen, Yanling, Khongdee, Nuttapon, Wang, Yaofeng, Song, Qinghai, Lu, Dengsheng, Wang, Shusen, Chen, Yaoliang Reflectance
Teleconnection Between Early Winter Monsoon System and Harmful Algal Li, Jingyi, Qin, Boqiang, Brookes, Justin D., Shi, Kun, Deng, Jianming, Zhou, Jian, Wu, Yang Reflectance
Application of a Three-Dimensional Coupled Hydrodynamic-Ice Model to Assess Spatiotemporal Variations in Ice Cover and Underlying Mechanisms in Lake Nam Co, Tibetan Plateau, 20072017 Wu, Yang, Huang, Anning, Lu, Youyu, FujisakiManome, Ayumi, Zhang, Zhiqi, Dai, Xianglin, Wang, Yu Reflectance
Observing the evolution of summer melt on multiyear sea icewith ICESat-2 Buckley, Ellen M., Farrell, Sinead L., Herzfeld, Ute C., Webster, Melinda A., Trantow, Thomas, Baney, Oliwia N., Duncan, Kyle A., Han, Huilin, Lawson, Matthew Reflectance
Interannual variability of spring fire in southern Nepal Hamal, Kalpana, Ghimire, Shravan Kumar, Khadka, Arbindra, Dawadi, Binod, Sharma, Shankar Reflectance
Modeling Phenological Phases of Winter Wheat Based on Temperature and Dizkova, Petra, Bartosova, Lenka, Blahova, Monika, Balek, Jan, Hajkova, Lenka, Semeradova, Daniela, Bohuslav, Jakub, Pohankova, Eva, Zalud, Zdenek, Trnka, Miroslav Reflectance
Near-real-time MODIS-derived vegetation index data products and online services for CONUS based on NASA LANCE Zhang, Chen, Yang, Zhengwei, Di, Liping, Yu, Eugene G., Zhang, Bei, Han, Weiguo, Lin, Li, Guo, Liying Reflectance
Local differences in maximum temperature determine water use among Glass, Danielle M., Prentice, Paige R., Evans, Ashley D., Schmitz, Oswald J. Reflectance
DSWEmodThe Production of HighFrequency Surface Water Map Composites from Daily MODIS Images Soulard, Christopher E., Waller, Eric K., Walker, Jessica J., Petrakis, Roy E., Smith, Britt W. Reflectance, Anisotropy
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
Grassland Model Based Evaluation of Drought Indices: A Case Study from Pogacar, Tjasa, Znidarsic, Zala, Vlahovic, Ziva, Crepinsek, Zalika, Susnik, Andreja Reflectance, Land Surface Temperature, Emissivity
Physiographic controls on landfast ice variability from 20 years of maximum extents across the northwest Canadian Arctic Wratten, Eleanor E., Cooley, Sarah W., Mann, Paul J., Whalen, Dustin, Fraser, Paul, Lim, Michael Reflectance
Recurrence plots for quantifying the vegetation indices dynamics in a semi-arid grassland Almeida-Naunay, Andres F., Benito, Rosa M., Quemada, Miguel, Losada, Juan C., Tarquis, Ana M. 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
Assessing the accuracy of MODIS MCD64A1 C6 and FireCCI51 burned area products in Mediterranean ecosystems Katagis, Thomas, Gitas, Ioannis Z. Land Use/Land Cover Classification, Reflectance, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Land Surface Temperature, Surface Thermal Properties, THERMAL ANOMALIES
Annual 30 m soybean yield mapping in Brazil using long-term satellite observations, climate data and machine learning Song, Xiao-Peng, Li, Haijun, Potapov, Peter, Hansen, Matthew C. Reflectance
Analysis of bluetongue disease epizootics in sheep of Andhra Pradesh Karthikeyan, Ravichandran, Rupner, Ramkumar N, Koti, Shiva Reddy, Jaganathasamy, Nagaraj, Lalrinzuala, Michael V., Sharma, Sachin, Tamta, Shikha, Rotluangkimi, Nandi, Sukdeb, Malik, Yashpal Singh, Dubal, Zunjar Baburao, Sinha, Dharmendra Kumar, Singh, Bhoj R., Vinodhkumar, Obli Rajendran Reflectance, Land Surface Temperature, Emissivity
Contrasting 20-year trends in NDVI at two Siberian larch forests with and without multiyear waterlogging-induced disturbances Nagano, Hirohiko, Kotani, Ayumi, Mizuochi, Hiroki, Ichii, Kazuhito, Kanamori, Hironari, Hiyama, Tetsuya Reflectance, Anisotropy
Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data ... Zhang, Chen, Yang, Zhengwei, Zhao, Haoteng, Sun, Ziheng, Di, Liping, Bindlish, Rajat, Liu, Pang-Wei, Colliander, Andreas, Mueller, Rick, Crow, Wade, Reichle, Rolf H., Bolten, John, Yueh, Simon H. Reflectance
Regional prediction of Fusarium head blight occurrence in wheat with remote sensing based Susceptible-Exposed-Infectious-Removed model Xiao, Yingxin, Dong, Yingying, Huang, Wenjiang, Liu, Linyi Reflectance
Remote estimates of total suspended matter in China's main estuaries using Landsat images and a weight random forest model Wang, Xiang, Wen, Zhidan, Liu, Ge, Tao, Hui, Song, Kaishan Reflectance
Regional Index Insurance Using Satellite-Based Fractional Flooded Area Tellman, Beth, Lall, Upmanu, Islam, A. K. M. Saiful, Bhuyan, Md Ariffuzaman Reflectance
Spatiotemporal Climate Variability in the Andes of Northern Peru: Evaluation of Gridded Datasets to Describe Cloud Forest Microclimate and Local Rainfall Newell, Felicity L., Ausprey, Ian J., Robinson, Scott K. Reflectance
Spatiotemporal fusion modelling using STARFMExamples of Landsat 8 and Sentinel-2 NDVI in Bavaria Dhillon, Maninder Singh, Dahms, Thorsten, Kubert-Flock, Carina, Steffan-Dewenter, Ingolf, Zhang, Jie, Ullmann, Tobias Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy
Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products Franquesa, Magi, Lizundia-Loiola, Joshua, Stehman, Stephen V., Chuvieco, Emilio Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, 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
A gaussian kernel-based spatiotemporal fusion model for agricultural remote sensing monitoring Shen, Yonglin, Shen, Guoling, Zhai, Han, Yang, Chao, Qi, Kunlun Reflectance
A framework for generating high spatiotemporal resolution land surface temperature in heterogeneous areas Zhu, Xinming, Song, Xiaoning, Leng, Pei, Li, Xiaotao, Gao, Liang, Guo, Da, Cai, Shuohao Land Use/Land Cover Classification, Reflectance, Land Surface Temperature, Emissivity, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps
Increasing dominance of dinoflagellate red tides in the coastal waters of Yellow Sea, China Li, Xiao-Yu, Yu, Ren-Cheng, Geng, Hui-Xia, Li, Yi-Fan Reflectance
Estimating actual evapotranspiration over croplands using vegetation index methods and dynamic harvested area Abbasi, Neda, Nouri, Hamideh, Didan, Kamel, Barreto-Munoz, Armando, Chavoshi Borujeni, Sattar, Salemi, Hamidreza, Opp, Christian, Siebert, Stefan, Nagler, Pamela Reflectance
Estimation of Suspended Sediment Concentration from Remote Sensing and Womber, Zelalem R., Zimale, Fasikaw A., Kebedew, Mebrahtom G., Asers, Bekalu W., DeLuca, Nikole M., Guzman, Christian D., Tilahun, Seifu A., Zaitchik, Benjamin F. Reflectance
Evaluation of four image fusion NDVI products against in-situ spectral-measurements over a heterogeneous rice paddy landscape Kong, Juwon, Ryu, Youngryel, Huang, Yan, Dechant, Benjamin, Houborg, Rasmus, Guan, Kaiyu, Zhu, Xiaolin Reflectance, Anisotropy
Downscaling MODIS land surface temperature product using an adaptive random forest regression method and Google Earth Engine for a 19-years spatiotemporal trend analysis over Iran Ebrahimy, Hamid, Aghighi, Hossein, Azadbakht, Mohsen, Amani, Meisam, Mahdavi, Sahel, Matkan, Ali Akbar Land Use/Land Cover Classification, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Reflectance, Land Surface Temperature, Emissivity
Evolution of the representation of global vegetation by vegetation continuous fields DiMiceli, Charlene, Townshend, John, Carroll, Mark, Sohlberg, Robert Reflectance, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, VEGETATION HEIGHT
Evaluation of prediction and forecasting models for evapotranspiration of agricultural lands in the Midwest US Talib, Ammara, Desai, Ankur R., Huang, Jingyi, Griffis, Tim J., Reed, David E., Chen, Jiquan Reflectance
Ground and satellite phenology in alpine forests are becoming more heterogeneous across higher elevations with warming Misra, Gourav, Asam, Sarah, Menzel, Annette RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Reflectance
Importance of the legacy effect for assessing spatiotemporal correspondence between interannual tree-ring width and remote sensing products in the Sierra ... Wong, Christopher Y.S., Young, Derek J.N., Latimer, Andrew M., Buckley, Thomas N., Magney, Troy S. Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Reflectance, Snow Grain Size, Snow Cover
Phenological analysis of sub-alpine forest on Jeju island, south Korea, using data fusion of landsat and MODIS products Park, Sang-Jin, Jeong, Seung-Gyu, Park, Yong, Kim, Sang-Hyuk, Lee, Dong-Kun, Mo, Yong-Won, Jang, Dong-Seok, Park, Kyung-Min Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance
An automatic method to detect lake ice phenology using MODIS daily temperature imagery Zhang, Xin, Wang, Kaicun, Kirillin, Georgiy Land Surface Temperature, Emissivity, Reflectance
A novel strategy to reconstruct ndvi time-series with high temporal resolution from modis multi-temporal composite products Zeng, Linglin, Wardlow, Brian D., Hu, Shun, Zhang, Xiang, Zhou, Guoqing, Peng, Guozhang, Xiang, Daxiang, Wang, Rui, Meng, Ran, Wu, Weixiong Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance
Assessing land use and land cover change in Los Molinos reservoir watershed and the effect on the reservoir water quality Bonansea, Matias, Bazan, Raquel, German, Alba, Ferral, Anabella, Beltramone, Giuliana, Cossavella, Ana, Pinotti, Lucio Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance
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
CLASSIC v1. 0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model ... Seiler, Christian, Melton, Joe R., Arora, Vivek K., Wang, Libo Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Emissivity, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Reflectance, Land Use/Land Cover Classification, Burned Area, Albedo, Anisotropy
Comparison of RGB and Multispectral Unmanned Aerial Vehicle for Monitoring Vegetation Coverage Changes on a Landslide Area Furukawa, Flavio, Laneng, Lauretta Andrew, Ando, Hiroaki, Yoshimura, Nobuhiko, Kaneko, Masami, Morimoto, Junko Reflectance
Article integrating modis and landsat data for land cover classification by multilevel decision rule Guan, Xudong, Huang, Chong, Zhang, Rui 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 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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