N: 90 S: -90 E: 180 W: -180
Description
The MOD09GA Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD09GA Version 6.1 data product.
The MOD09GA Version 6 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
- 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
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.
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File Naming Convention
The file name begins with the Product Short Name (MOD09GA) 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
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
Dataset Resources
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| 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 | |
| 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 | |
| Ice-resistant breakwater rock sizing at Elim, Alaska | Engel, Chandler, Morriss, Blaine | 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) | |
| 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 | |
| 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 | |
| Inspecting gaseous pollutants and their dynamics in Kathmandu using satellite derived data | Magar, Keshab | Reflectance, Land Surface Temperature, Emissivity | |
| 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 | |
| Near real-time satellite soil moisture estimation via residual learning | Sengupta, Soumita, Chu, Hone-Jay | Reflectance | |
| 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 | |
| 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) | |
| 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 | |
| Dual-domain prior unfolding network for remote sensing image super-resolution | Dong, Jing, Hu, Guifu, Zhang, Jie, Luo, Xiaoqing | Reflectance | |
| 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) | |
| 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 | |
| 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) | |
| 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 | |
| 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 | |
| Prediction of Net Longwave Radiation and Turbulent Fluxes Using Remote-Sensing-Derived Net Shortwave Radiation for Different Land Cover Types | Wang, Jingwen, Lu, Lei, Zhou, Xiaoming, Huang, Guanghui, Chen, Zihan | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| 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 | |
| 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 | |
| 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 | |
| pyVPRM: a next-generation vegetation photosynthesis and | Glauch, Theo, Marshall, Julia, Gerbig, Christoph, Botia, Santiago, Gakowski, Micha, Vardag, Sanam N., Butz, Andre | Reflectance, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| The Process-Cognizant Vegetation Drought Model (PCVDM): Analyzing | Zhang, Zhimei, Jiao, Zhijun, Wu, Lixin | Land Use/Land Cover Classification, Reflectance, Emissivity, Land Surface Temperature | |
| Spatiotemporal Patterns of Chlorophyll-a Concentration in a | Ramsey, R. Douglas, Brothers, Soren M., Cobo, Melissa, Wurtsbaugh, Wayne A. | Reflectance | |
| Spatial and temporal assessment of soil degradation risk in Europe | Afshar, Mehdi H., Hassani, Amirhossein, Aminzadeh, Milad, Borrelli, Pasquale, Panagos, Panos, Robinson, David A., Or, Dani, Shokri, Nima | Reflectance, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Seasonal Ice Phenology of High-Latitude Lakes through Spaceborne L-Band Radiometry | Kumawat, Divya, Zuber, M D, Ebtehaj, Ardeshir, Kumar, Vipin, Steinbach, Michael | Reflectance | |
| Scope for waterfowl to speed up migration to a warming Arctic | Linssen, Hans, Lameris, Thomas K., Boom, Michiel P., Nuijten, Rascha J. M., Buitendijk, Nelleke H., Dokter, Adriaan M., Ebbinge, Barwolt S., Eichhorn, Gotz, Geisler, Jan, Haitjema, Trinus, Kolzsch, Andrea, Kruckenberg, Helmut, Leyrer, Jutta, Madsen, Jesper, Mitchell, Carl, Moonen, Sander, Muskens, Gerhard J. D. M., Schreven, Kees H. T., Vergin, Lisa, Versluijs, Tom S. L., Shamoun-Baranes, Judy Z., van Loon, E. Emiel, Nolet, Bart A. | Reflectance, Total Surface Water | |
| A DEEP LEARNING APPROACH FOR SHORT-TERM SOIL MOISTURE RETRIEVAL USING | Cevikalp, Muhammed Rasit, Isik, Mustafa Serkan, Celik, Mehmet Furkan, Musaoglu, Nebiye | Reflectance | |
| A multi-resolution ensemble model of three decision-tree-based algorithms to predict daily NO2 concentration in France 2005-2022 | Barbalat, Guillaume, Hough, Ian, Dorman, Michael, Lepeule, Johanna, Kloog, Itai | Reflectance | |
| Monitoring small-scale irrigation performance using remote sensing in the Upper Blue Nile Basin, Ethiopia | Mekonnen, Yilkal Gebeyehu, Alamirew, Tena, Tadesse, Kassahun Birhanu, Chukalla, Abebe Demissie | Reflectance | |
| Megafire smoke exposure jeopardizes tree carbohydrate reserves and yield | Orozco, Jessica, Guzman-Delgado, Paula, Zwieniecki, Maciej A. | Reflectance, Aerosol Optical Depth/Thickness | |
| Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based | D.Kovacs, David, Reyes-Munoz, Pablo, Berger, Katja, Meszaros, Viktor Ixion, Caballero, Gabriel, Verrelst, Jochem | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance | |
| Multivariate analysis of land surface dynamics in Central Asia: patterns of trends and drivers under a changing climate | Uereyen, Soner, Klein, Igor, Eisfelder, Christina, Kuenzer, Claudia | Reflectance | |
| Influence of Vegetation Phenology on the Temporal Effect of Crop | Lin, Yinghao, Fan, Tingshun, Wang, Dong, Cai, Kun, Liu, Yang, Wang, Yuye, Yu, Tao, Xu, Nianxu | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| Improvement of albedo and snow-cover simulation during snow events over the Tibetan Plateau | Liu, Lian, Ma, Yaoming | Reflectance | |
| From EU-SoilHydroGrids to HU-SoilHydroGrids: A leap forward in soil hydraulic mapping | Szabo, Brigitta, Meszaros, Janos, Laborczi, Annamaria, Takacs, Katalin, Szatmari, Gabor, Bakacsi, Zsofia, Mako, Andras, Pasztor, Laszlo | 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 | |
| Estimating broadband snow albedo by an asymptotic radiative transfer model-constrained deep learning models | Shao, Donghang, Jin, Yuwei, Ji, Wenzheng, Li, Hongxing, Feng, Tianwen, Li, Hongyi, Wang, Jian, Hao, Xiaohua | Land Use/Land Cover Classification, Reflectance, Albedo, Snow Cover | |
| Drought influences habitat associations and abundances of birds in | Goldstein, Benjamin R., Furnas, Brett J., Calhoun, Kendall L., Larsen, Ashley E., Karp, Daniel S., de Valpine, Perry | Reflectance | |
| Evaluation of Summertime Passive Microwave and Reanalysis Sea-Ice | Song, Kexin, Minnett, Peter J. | Heat Flux, Heat Flux, Heat Flux, Heat Flux, Longwave Radiation, Longwave Radiation, Shortwave Radiation, Shortwave Radiation, Water Vapor Tendency, Water Vapor Flux, Cloud Dynamics, Cloud Microphysics, Snow/Ice, Precipitation, Specific Humidity, Ice Fraction, Skin Temperature, Sea Surface Skin Temperature, Skin Temperature, Reflectance, Brightness Temperature, Sea Ice Concentration, Sea Ice Motion, Snow Depth | |
| Generation of 1 km high resolution Standardized precipitation evapotranspiration Index for drought monitoring over China using Google Earth Engine | He, Yile, Xie, Youping, Liu, Junchen, Hu, Zengyun, Liu, Jun, Cheng, Yuhua, Zhang, Lei, Wang, Zhihui, Li, Man | Reflectance | |
| Incorporating changes in land surface temperature improves BESS | Lu, Xiaoman, Guan, Kaiyu, Jiang, Chongya, Gao, Lun, Wang, Sheng, Zhang, Jiaying | Albedo, Anisotropy, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Leaf Characteristics, Photosynthetically Active Radiation, Reflectance | |
| Reducing Resolution Dependency of Dust Emission Modeling Using | Chappell, Adrian, Hennen, Mark, Schepanski, Kerstin, Dhital, Saroj, Tong, Daniel | Land Use/Land Cover Classification, Reflectance, Albedo, Anisotropy | |
| Agricultural drought monitoring and early warning at the regional scale using a remote sensing-based combined index | Satapathy, Trupti, Dietrich, Jorg, Ramadas, Meenu | Reflectance, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Air Temperature, Specific Humidity, Wind Speed, Snow Cover, Snow Depth, Emissivity, Tropopause, Upper Air Temperature, Total Precipitable Water, Water Vapor, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Sea Surface Temperature, Skin Temperature, Carbon Monoxide, Geopotential Height, Water Vapor Profiles, Cloud Liquid Water/Ice, Outgoing Longwave Radiation, Methane, Atmospheric Ozone | |
| A Theory of Maximum Entropy Production and Its Application to Microwave | Wang, J., Cho, K., NegronJuarez, R. I., Colliander, A., Caravasi, E. C., Revilla, N. S. | Reflectance, Soil Moisture/Water Content, Soil Temperature, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain |
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 |
|---|---|---|---|---|---|---|---|
| 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 for Band 1 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b02_1 | Surface Reflectance for Band 2 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b03_1 | Surface Reflectance for Band 3 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b04_1 | Surface Reflectance for Band 4 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b05_1 | Surface Reflectance for Band 5 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b06_1 | Surface Reflectance for Band 6 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b07_1 | Surface Reflectance for Band 7 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |