N: 90 S: -90 E: 180 W: -180
1000 Meters x 1000 Meters
The MYD09GA Version 6.1 product provides an estimate of the surface spectral reflectance of Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 500 meter (m) surface reflectance, observation, and quality bands are a set of ten 1 kilometer observation bands and geolocation flags. The reflectance layers from the MYD09GA are used as the source data for many of the MODIS land products.
Known Issues
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.
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Estimating the Near-Surface Air Temperature Field Using Satellite-Based Remote Sensing of Land Surface Temperatures | Frat Ors, Pelin, Mahdavi, Ardeshir | Albedo, Anisotropy, Land Surface Temperature, Emissivity, Reflectance | |
| Disentangling the effects of orographic forcing and soil moisture on shallow cumulus in a semi-arid grassland | Guo, Yali, Chen, Jingyi, Shi, Hongrong, Chen, Hongbin, Lu, Chunsong | Reflectance | |
| A dataset of daily cloud-free remote sensing indices for the cryosphere in High Mountain Asia (20002023) | SUN, Xingliang, SHI, Kaidan, HU, Zhimin, FENG, Min, GUO, Xuejun | Reflectance | |
| Multiple Impacts of Climate Change and Anthropogenic Activities on | Xie, Ge, Zhang, Yibo, Wang, Qing, Shi, Kun, Zhang, Yunlin, Zhou, Yongqiang, Qin, Boqiang, He, Junliang, Li, Na | Reflectance | |
| Increasing global human exposure to wildland fires despite declining burned area | Teymoor Seydi, Seyd, Abatzoglou, John T., Jones, Matthew W., Kolden, Crystal A., Filippelli, Gabriel, Hurteau, Matthew D., AghaKouchak, Amir, Luce, Charles H., Miao, Chiyuan, Sadegh, Mojtaba | Land Use/Land Cover Classification, Reflectance | |
| Enhanced structural diversity increases European forest resilience and potentially compensates for climate-driven declines | Pickering, Mark, Elia, Agata, Oton, Gonzalo, Piccardo, Matteo, Ceccherini, Guido, Forzieri, Giovanni, Migliavacca, Mirco, Cescatti, Alessandro, Girardello, Marco | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Reflectance, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Global phenology maps reveal the drivers and effects of seasonal asynchrony | Terasaki Hart, Drew E., Bui, Thao-Nguyen, Di Maggio, Lauren, Wang, Ian J. | Plant Phenology, Enhanced Vegetation Index (EVI), Reflectance, Anisotropy, Land Use/Land Cover Classification | |
| Differential effects of environmental predictability on ungulate | Standen, Madeline P., Ditmer, Mark A., Stoner, David C., Hersey, Kent R., Carter, Neil H. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| Retrieval of Snow Grain Size over the Tibetan Plateau: Preliminary | Zhang, Yunlong, Tian, Yixiang | Reflectance, Reflectance, Terrain Elevation | |
| Modeling the hotspot effect for vegetation canopies based on path length distribution | Li, Weihua, Yan, Guangjian, Mu, Xihan, Tong, Yiyi, Zhou, Kun, Xie, Donghui | Topography, Canopy Characteristics, Digital Elevation/Terrain Model (DEM), Lidar, LIDAR WAVEFORM, Reflectance | |
| Estimating the daily mean blue-sky land surface albedo on the Tibetan Plateau using convolutional neural network | Ma, Bin, Ma, Yaoming, Ma, Weiqiang, Xie, Zhipeng, Han, Cunbo, Wang, Binbin | Albedo, Anisotropy, Snow Cover, Aerosol Optical Depth/Thickness, Reflectance | |
| Estimation of Vegetation Parameters of the VIC Model Using Remotely Sensed Data | Gomez, Edna Lucia Espinosa, Rodriguez, Leticia, Zimmermann, Erik | Albedo, Anisotropy, Reflectance, Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Reflectance, Transmittance, Atmospheric Stability, Humidity, Total Precipitable Water, Water Vapor Profiles, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms, Atmospheric Ozone, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Distinguishing the Impacts and Gradient Effects of Climate Change and | Lv, WenBo, Liu, FangMei, Cai, Kai, Cao, Yue, Deng, MengLing, Liang, Wei, Yan, JianWu, Wang, GuangYu | Land Use/Land Cover Classification, Reflectance | |
| Airfall volume of the 15 January 2022 eruption of Hunga volcano estimated from ocean color changes | Kelly, Liam J., Fauria, Kristen E., Manga, Michael, Cronin, Shane J., Latuila, Folauhola Helina, Paredes-Marino, Joali, Mittal, Tushar, Bennartz, Ralf | Reflectance | |
| Three-dimensional copula framework for early warning of agricultural | Afshar, Mehdi H., Sorman, Ali Unal, Tosunoglu, Fatih | Reflectance | |
| Using CYGNSS and L-band Radiometer Observations to Retrieve Surface Water Fraction: A Case Study of the Catastrophic Flood of 2022 in Pakistan | Ma, Zhongmin, Zhang, Shuangcheng, Liu, Qi, Feng, Yanming, Guo, Qinyu, Zhao, Hebin, Feng, Yuxuan | Total Surface Precipitation Rate, Reflectance, Radar Cross-Section, Radar Reflectivity, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Estimating Early Summer Snow Depth on Sea Ice Using a Radiative Transfer | Wang, Mingfeng, Oppelt, Natascha | Reflectance | |
| Evaluating gross primary productivity over 9 ChinaFlux sites based on random forest regression models, remote sensing, and eddy covariance data | Chang, Xiaoqing, Xing, Yanqiu, Gong, Weishu, Yang, Cheng, Guo, Zhen, Wang, Dejun, Wang, Jiaqi, Yang, Hong, Xue, Gang, Yang, Shuhang | Reflectance | |
| Geo-Intelligent Retrieval Framework Based on Machine Learning in the Cloud Environment: A Case Study of Soil Moisture Retrieval | Li, Zhenghao, Yuan, Qiangqiang, Zhang, Liangpei | Land Surface Temperature, Emissivity, Reflectance, Albedo, Anisotropy | |
| Phenophase-based comparison of field observations to satellite-based actual evaporation estimates of a natural woodland: miombo woodland, southern ... | Zimba, Henry, Coenders-Gerrits, Miriam, Banda, Kawawa, Schilperoort, Bart, van de Giesen, Nick, Nyambe, Imasiku, Savenije, Hubert H. G. | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Plant Phenology, Enhanced Vegetation Index (EVI), Reflectance | |
| Burned area and carbon emissions across northwestern boreal North America from 20012019 | Potter, Stefano, Cooperdock, Sol, Veraverbeke, Sander, Walker, Xanthe, Mack, Michelle C., Goetz, Scott J., Baltzer, Jennifer, Bourgeau-Chavez, Laura, Burrell, Arden, Dieleman, Catherine, French, Nancy, Hantson, Stijn, Hoy, Elizabeth E., Jenkins, Liza, Johnstone, Jill F., Kane, Evan S., Natali, Susan M., Randerson, James T., Turetsky, Merritt R., Whitman, Ellen, Wiggins, Elizabeth, Rogers, Brendan M. | Reflectance, Land Use/Land Cover Classification, Fire Occurrence, Forest Fire Science, Burned Area, Aquatic Ecosystems, Terrestrial Ecosystems, Vegetation, Soils, Vegetation Cover, Forests, Biomass Burning, Surface Temperature, Precipitation Amount, Fire Dynamics, Carbon, Biomass, Soil Moisture/Water Content, Topographic Effects, Emissions, Carbon | |
| Comparing forest and grassland drought responses inferred from eddy covariance and Earth observation | Hoek van Dijke, Anne J., Orth, Rene, Teuling, Adriaan J., Herold, Martin, Schlerf, Martin, Migliavacca, Mirco, Machwitz, Miriam, van Hateren, Theresa C., Yu, Xin, Mallick, Kaniska | Land Surface Temperature, Emissivity, Reflectance | |
| Assessment of water demands for irrigation using energy balance and satellite data fusion models in cloud computing: A study in the Brazilian semiarid region | Ferreira, Thomas R., Maguire, Mitchell S., da Silva, Bernardo B., Neale, Christopher M.U., Serrao, Edivaldo A.O., Ferreira, Jessica D., de Moura, Magna S.B., dos Santos, Carlos A.C., Silva, Madson T., Rodrigues, Lineu N., Carvalho, Herica F.S. | Albedo, Anisotropy, Reflectance, Land Surface Temperature, Emissivity | |
| A framework for near-real time monitoring of diversity patterns based on | Paz, Andrea, Silva, Thiago S., Carnaval, Ana C. | Reflectance | |
| Madagascar's fire regimes challenge global assumptions about landscape degradation | Phelps, Leanne N., Andela, Niels, Gravey, Mathieu, Davis, Dylan S., Kull, Christian A., Douglass, Kristina, Lehmann, Caroline E. R. | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Reflectance, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Machine learning driven by environmental covariates to estimate high-resolution PM2.5 in data-poor regions | Jin, XiaoYe, Ding, Jianli, Ge, Xiangyu, Liu, Jie, Xie, Boqiang, Zhao, Shuang, Zhao, Qiaozhen | Land Surface Temperature, Emissivity, Reflectance, Aerosol Optical Depth/Thickness | |
| Long-Term Series of Chlorophyll-a Concentration in Brazilian Semiarid Lakes from Modis Imagery | Ventura, Dhalton Luiz Tosetto, Martinez, Jean-Michel, de Attayde, Jose Luiz, Martins, Eduardo Savio Passos Rodrigues, Brandini, Nilva, Moreira, Luciane Silva | Reflectance | |
| How long did crops survive from floods caused by Cyclone Idai in Mozambique detected with multi-satellite data | Bofana, Jose, Zhang, Miao, Wu, Bingfang, Zeng, Hongwei, Nabil, Mohsen, Zhang, Ning, Elnashar, Abdelrazek, Tian, Fuyou, da Silva, Jose Marques, Botao, Anacleta, Atumane, Ali, Mushore, Terence Darlington, Yan, Nana | Reflectance | |
| Evaluation of Satellite-Derived Estimates of Lake Ice Cover Timing on | Tuttle, Samuel E., Roof, Steven R., Retelle, Michael J., Werner, Alan, Gunn, Grant E., Bunting, Erin L. | Reflectance | |
| Adaptability of MODIS daily cloud-free snow cover 500 m dataset over China in Hutubi River Basin based on snowmelt runoff model | Meng, Xiangyao, Liu, Yongqiang, Qin, Yan, Wang, Weiping, Zhang, Mengxiao, Zhang, Kun | Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Reflectance | |
| Climate-driven variations in suspended particulate matter dominate water clarity in shallow lakes | Fang, Chong, Jacinthe, Pierre-Andre, Song, Changchun, Zhang, Chi, Song, Kaishan | Reflectance | |
| Development and validation of a new MODIS snow-cover-extent product over China | Hao, Xiaohua, Huang, Guanghui, Zheng, Zhaojun, Sun, Xingliang, Ji, Wenzheng, Zhao, Hongyu, Wang, Jian, Li, Hongyi, Wang, Xiaoyan | Land Use/Land Cover Classification, 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 | |
| Saharan dust and childhood respiratory symptoms in Benin | McElroy, Sara, Dimitrova, Anna, Evan, Amato, Benmarhnia, Tarik | Aerosol Optical Depth/Thickness, Reflectance | |
| Towards daily maximum heat index estimation across the conterminous United States using satellite-derived products | Pede, Timothy, Mountrakis, Giorgos | Land Surface Temperature, Emissivity, Reflectance | |
| 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 pigment ratio index based on remotely sensed reflectance provides the potential for universal gross primary production estimation | Wu, W, Epstein, H E, Guo, H, Li, X, Gong, C | Reflectance, Reflectance, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Albedo, Anisotropy, Shortwave Radiation | |
| 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 | |
| New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests | Hashimoto, Hirofumi, Wang, Weile, Dungan, Jennifer L., Li, Shuang, Michaelis, Andrew R., Takenaka, Hideaki, Higuchi, Atsushi, Myneni, Ranga B., Nemani, Ramakrishna R. | Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Snow Grain Size, Snow Cover | |
| Estimating water surface chlorophyll-a concentration by big remote sensing data in the Persian Gulf, Bushehr | Tehrani, Nadia Abbaszadeh, Janalipour, Milad, Babaei, Hadiseh | Reflectance | |
| Estimation of BRDF model kernel weights under an a priori knowledge-aided constraint | Tian, Xinpeng, Gao, Zhiqiang, Liu, Qiang, Wang, Yueqi, Li, Xiuhong | Reflectance, Albedo, Anisotropy | |
| Effectiveness of upscaling the vegetation temperature condition index retrieved from Landsat data using an algorithm combining the trend surface analysis and the spatial variation weight method | Bai, X. J., Kang, H. X., Wang, P. X., Liu, Z. | Land Surface Temperature, Emissivity, Reflectance | |
| Environmental correlates of taxonomic and phylogenetic diversity in the | Paz, Andrea, Brown, Jason L., Cordeiro, Carlos L. O., AguirreSantoro, Julian, Assis, Claydson, Amaro, Renata Cecilia, Raposo do Amaral, Fabio, Bochorny, Thuane, Bacci, Lucas F., Caddah, Mayara K., dHorta, Fernando, Kaehler, Miriam, Lyra, Mariana, Grohmann, Carlos Henrique, Reginato, Marcelo, SilvaBrandao, Karina Lucas, Freitas, Andre Victor Lucci, Goldenberg, Renato, Lohmann, Lucia G., Michelangeli, Fabian A., Miyaki, Cristina, Rodrigues, Miguel T., Silva, Thiago S., Carnaval, Ana C. | Reflectance | |
| Downscaling of modis ndvi by using a convolutional neural network-based model with higher resolution sar data | Nomura, Ryota, Oki, Kazuo | Reflectance | |
| Dynamic mapping of subarctic surface water by fusion of microwave and optical satellite data using conditional adversarial networks | Mizuochi, Hiroki, Iijima, Yoshihiro, Nagano, Hirohiko, Kotani, Ayumi, Hiyama, Tetsuya | Reflectance | |
| 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 | |
| How secondary inorganic aerosols from Delhi influence aerosol optical and radiative properties at a downwind sub-urban site over Indo-Gangetic Basin? | Srivastava, Atul Kumar, Thomas, Abin, Hooda, Rakesh K., Kanawade, Vijay P., Hyvarinen, Antti -P., Bisht, Deewan Singh, Tiwari, Suresh | Reflectance | |
| Evaluation of the MODIS (C6) Daily Albedo Products for Livingston Island, Antarctic | Corbea-Perez, Alejandro, Calleja, Javier F., Recondo, Carmen, Fernandez, Susana | Reflectance, Albedo, Anisotropy | |
| Improved consistency of an automated multisatellite method for extracting temporal changes in flood extent | Mahmud, Husniyah Binti, Katiyar, Vaibhav, Nagai, Masahiko | Reflectance | |
| Radiative forcing of black carbon in seasonal snow of wintertime based on remote sensing over Xinjiang, China | Chen, Wenqian, Wang, Xin, Cui, Jiecan, Cao, Xiaoyi, Pu, Wei, Zheng, Xuan, Ran, Haofan, Ding, Jianli | Land Use/Land Cover Classification, Reflectance |
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 |
|---|---|---|---|---|---|---|---|
| gflags_1 | Geolocation flags | Bit Field | uint8 | 255 | 0 to 248 | 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_1km | Number of observations within a pixel | N/A | int8 | -1 | 0 to 127 | N/A | N/A |
| num_observations_500m | Number of observations per 500m pixel | N/A | int8 | -1 | 0 to 127 | N/A | N/A |
| obscov_500m_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_500m_1 | Surface Reflectance 500m Quality Assurance | Bit Field | uint32 | 787410671 | 0 to 4294966019 | N/A | N/A |
| q_scan_1 | 250m scan value information | N/A | uint8 | 255 | 0 to 254 | N/A | N/A |
| Range_1 | Distance to sensor | Meters | uint16 | 0 | 27000 to 65535 | 25 | N/A |
| SensorAzimuth_1 | Azimuth angle to sensor | Degree | int16 | -32767 | -18000 to 18000 | 0.01 | N/A |
| SensorZenith_1 | Zenith angle to sensor | Degree | int16 | -32767 | 0 to 18000 | 0.01 | N/A |
| SolarAzimuth_1 | Azimuth angle to sun | Degree | int16 | -32767 | -18000 to 18000 | 0.01 | N/A |
| SolarZenith_1 | Zenith angle to sun | Degree | int16 | -32767 | 0 to 18000 | 0.01 | N/A |
| state_1km_1 | 1km Reflectance Data State QA | Bit Field | uint16 | 65535 | 0 to 57335 | 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 |
| sur_refl_b03_1 | Surface Reflectance Band 3 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b04_1 | Surface Reflectance Band 4 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b05_1 | Surface Reflectance Band 5 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b06_1 | Surface Reflectance Band 6 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b07_1 | Surface Reflectance Band 7 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |