N: 90 S: -90 E: 180 W: -180
1000 Meters x 1000 Meters
The MOD09GA Version 6.1 product provides an estimate of the surface spectral reflectance of Terra 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 (km) observation bands and geolocation flags. The reflectance layers from the MOD09GA 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 |
|---|---|---|---|
| Ice-resistant breakwater rock sizing at Elim, Alaska | Engel, Chandler, Morriss, Blaine | Reflectance | |
| 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 | |
| Amazon forest nutrient limitation is mitigated by distant fire emissions | Descals, Adria, Janssens, Ivan A., Penuelas, Josep | Solar Induced Fluorescence, Chlorophyll, Primary Production, Leaf Characteristics, Reflectance, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Monitoring Flood Inundation Dynamics From Space | Campo, C., Tamagnone, P., Choy, S., Tran, T. D., Schumann, G. J.P., Kuleshov, Y. | Atmospheric Water Vapor, Precipitation, Brightness Temperature, Reflectance, Reflectance, Terrain Elevation | |
| The Accuracy, Spatial Consistency, and Impact Factors of Global Cropland Products in Karst Landscapes: A Case Study of the YunnanGuizhou Plateau | Xia, Yi, Bao, Li, Xia, Yunsheng, Liu, Guangjie | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Reflectance | |
| Runoff from Greenland's firn areawhy do MODIS, RCMs and a firn model disagree? | Machguth, Horst, Tedstone, Andrew, Kuipers Munneke, Peter, Brils, Max, Noel, Brice, Clerx, Nicole, Jullien, Nicolas, Fettweis, Xavier, van den Broeke, Michiel | Ice Velocity, Reflectance | |
| Comparison of Artificial Intelligence Algorithms and Remote Sensing for | Orellana, Omar, Sandoval, Marco, Zagal, Erick, Hidalgo, Marcela, Suazo-Hernandez, Jonathan, Paulino, Leandro, Duarte, Efrain | Reflectance, Evapotranspiration, Latent Heat Flux | |
| Fine-Scale Evaluation of Carbon Exchange Capacity in Terrestrial | Zhang, Yu, Ma, Xiaofei, Luo, Geping, Xie, Mingjuan, Gao, Ruixiang, Wang, Shiyuan, Hamdi, Rafiq, Termonia, Piet, De Maeyer, Philippe | Reflectance, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Impacts of land surface temperature and ambient factors on near-surface | Li, Songyang, Wong, Man Sing, Zhu, Rui, Shi, Guoqiang, Yang, Jinxin | Reflectance, Land Surface Temperature, Emissivity | |
| 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 | |
| A forecasting model for desert locust presence during recession period, using real-time satellite imagery | Marescot, Lucile, Fernandez, Elodie, Dridi, Hichem, Benahi, Ahmed Salem, Hamouny, Mohamed Lemine, Maeno, Koutaro Ould, Escorihuela, Maria-Jose, Paolini, Giovanni, Piou, Cyril | Reflectance | |
| Dual-domain prior unfolding network for remote sensing image super-resolution | Dong, Jing, Hu, Guifu, Zhang, Jie, Luo, Xiaoqing | Reflectance | |
| Downscaling MODIS land surface temperature to 90 m using random forest regression to assess transferability | Das, Pallab Kumar, Mukherjee, Indrajit, Prasad, Pankaj, Pushkar, Shashank | Reflectance, Land Surface Temperature, Emissivity | |
| Enhanced runoff simulation with improved evapotranspiration accounting | Chitsaz, Nastaran, Shanafield, Margaret, Batelaan, Okke | 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) | |
| Near real-time satellite soil moisture estimation via residual learning | Sengupta, Soumita, Chu, Hone-Jay | Reflectance | |
| Inspecting gaseous pollutants and their dynamics in Kathmandu using satellite derived data | Magar, Keshab | Reflectance, Land Surface Temperature, Emissivity | |
| Migratory Birds Advance Spring Arrival and EggLaying in the Arctic, Mostly by Travelling Faster | Lameris, Thomas K., Boom, Michiel P., Nuijten, Rascha J. M., Buitendijk, Nelleke H., Eichhorn, Gotz, Ens, Bruno J., Exo, KlausMichael, Glazov, Petr M., Hanssen, Sveinn Are, Hunke, Philip, van der Jeugd, Henk P., de Jong, Margje E., Kolzsch, Andrea, Kondratyev, Alexander, Kruckenberg, Helmut, Kulikova, Olga, Linssen, Hans, Loonen, Maarten J. J. E., Loshchagina, Julia A., Madsen, Jesper, Moe, Brge, Moonen, Sander, Muskens, Gerhard J. D. M., Nolet, Bart A., Pokrovsky, Ivan, Reneerkens, Jeroen, Scheiber, Isabella B. R., Schekkerman, Hans, Schreven, Kees H. T., Tal, Tohar, Tulp, Ingrid, Verhoeven, Mo A., Versluijs, Tom S. L., Volkov, Sergey, Wikelski, Martin, van Bemmelen, Rob S. A. | Reflectance, Total Surface Water | |
| Magnitude, drivers, and patterns of gross primary productivity of rice | Mahbub, Riasad Bin, Reba, Michele L., Runkle, Benjamin R.K. | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Characteristics, Photosynthetically Active Radiation, 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 | |
| Full Annual Cycle Drivers of Phenology in a Migratory Bird Reveal | Ralston, Rebecca J., Tonra, Christopher M. | Land Use/Land Cover Classification, 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 | |
| Harmoni-Planet: A holistic harmonization method for PlanetScope constellation imagery leveraging a graph-based greedy optimization strategy | Chen, Ruilin, Yang, Wei, Chen, Xuehong, Gu, Zhuoning, Yin, Benfeng, Zhang, Yuanming, Chen, Jin | Reflectance | |
| Assessing drought trends and vegetation health in arid regions using advanced remote sensing techniques: a case study in Saudi Arabia | Alqadhi, Saeed, Mallick, Javed, Hang, Hoang Thi | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Reflectance | |
| Comparative analysis of drought indices to characterize drought in agro-climatic zones of Assam, northeast region of India | Pandey, Vanita, Shrivastava, Salil Kumar | 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 |