N: 90 S: -90 E: 180 W: -180
Description
The MOD09GQ Version 6.1 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
- For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
Version Description
Product Summary
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
File Naming Convention
The file name begins with the Product Short Name (MOD09GQ) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025222), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h17v15), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025224032103), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
DATA PRODUCT SPECIFICATION
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
| Title | Year Sort ascending | 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Interannual variability of spring fire in southern Nepal | Hamal, Kalpana, Ghimire, Shravan Kumar, Khadka, Arbindra, Dawadi, Binod, Sharma, Shankar | 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Local differences in maximum temperature determine water use among | Glass, Danielle M., Prentice, Paige R., Evans, Ashley D., Schmitz, Oswald J. | 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Regional Index Insurance Using Satellite-Based Fractional Flooded Area | Tellman, Beth, Lall, Upmanu, Islam, A. K. M. Saiful, Bhuyan, Md Ariffuzaman | Reflectance |
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 Sort descending | 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 |
| 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 |