N: 90 S: -90 E: 180 W: -180
Description
The MYD09A1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MYD09A1 Version 6.1 data product.
The Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua MYD09A1 Version 6 product provides an estimate of the surface spectral reflectance of Aqua MODIS Bands 1 through 7 corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven 500 meter (m) reflectance bands are a quality variable and four observation bands. For each pixel, a value is selected from all the acquisitions within the 8-day composite period. The criteria for the pixel choice include cloud and solar zenith. When several acquisitions meet the criteria the pixel with the minimum channel 3 (blue) value is used.
Known Issues
- The Collection 6 MODIS Land Surface Reflectance product (MYD09) 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 (MYD09A1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002273), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h35v10), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151145110), 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 |
|---|---|---|---|
| Mapping Boro Rice Cultivation in Bangladesh Using Multi-Temporal MODIS Data and Phenological Approach | Rahman, Md. Mizanur, Tripathi, Nitin Kumar, Mozumder, Chitrini, Kongwarakom, Siwat, Virdis, Salvatore Gonario Pasquale | Reflectance | |
| Land Use and Land Cover Change Patterns from Orbital Remote Sensing Products: Spatial Dynamics and Trend Analysis in Northeastern Brazil | Silva, Jhon Lennon Bezerra da, Silva, Marcos Vinicius da, Lopes, Pabricio Marcos Oliveira, Santos, Rodrigo Couto, Carvalho, Ailton Alves de, Moura, Geber Barbosa de Albuquerque, Silva, Thieres George Freire da, Cezar Bezerra, Alan, Jardim, Alexandre Manicoba da Rosa Ferraz, Ferreira, Maria Beatriz, Silva, Patricia Costa, Silva, Josef Augusto Oberdan Souza, Mesquita, Marcio, Batista, Pedro Henrique Dias, Jordan, Rodrigo Aparecido, Oliveira, Henrique Fonseca Elias de | Total Surface Precipitation Rate, Reflectance | |
| AEDMA-NDMAI: Automatic Extraction and Daily Monitoring of Algal Blooms | Mishra, Vikash Kumar, Falconer, James, Mishra, Amit Kumar, Nicolls, Fred, Paine, Stephen | Reflectance | |
| 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 impact of turfgrass on urban carbon dioxide fluxes in Indianapolis, Indiana, USA | Horne, Jason P., Jin, Claire, Miles, Natasha L., Richardson, Scott J., Murphy, Samantha L., Wu, Kai, Davis, Kenneth J. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Atmospheric Carbon Dioxide, Petroleum Production/Use, Industrial Emissions, Fossil Fuel Burning, Emissions, Transportation, Reflectance | |
| Simulating Complex CO2 Background Conditions for Indianapolis, IN, With a Simple Ecosystem CO2 Flux Model | Murphy, S. L., Davis, K. J., Miles, N. L., Barkley, Z. R., Deng, A., Horne, J. P., Richardson, S. J., Gourdji, S. M. | Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Unveiling PACE OCI's hyperspectral terrestrial data products | Caplan, Skye, Huemmrich, K. Fred | Reflectance | |
| Warm rings in mesoscale eddies in a cold straining ocean | Dong, Huizi, Zhou, Meng, McWilliams, James C., Raj, Roshin P., dOvidio, Francesco, Fer, Ilker, Qu, Lixin, Qiu, Bo, Siegelman, Lia, Zhang, Zhengguang, Smith, Walker O., Sperrevik, Ann Kristin | Reflectance | |
| Exploring spatial machine learning techniques for improving land surface temperature prediction | Arunab, K.S., Mathew, Aneesh | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness | |
| Global WaterPack-The development of global surface water over the past 20 years at daily temporal resolution | Klein, Igor, Uereyen, Soner, Sogno, Patrick, Twele, Andre, Hirner, Andreas, Kuenzer, Claudia | Reflectance, Albedo, Snow Cover, Floods, Floods | |
| Environmental degradation of vegetation cover and water bodies in the semiarid region of the Brazilian northeast via cloud geoprocessing techniques applied to ... | Silva, Jhon Lennon Bezerra da, Moura, Geber Barbosa de Albuquerque, Silva, Marcos Vinicius da, Oliveira-Junior, Jose Francisco de, Jardim, Alexandre Manicoba da Rosa Ferraz, Refati, Daiana Caroline, Lima, Ricardo da Cunha Correia, Carvalho, Ailton Alves de, Ferreira, Maria Beatriz, Brito, Jose Ivaldo Barbosa de, Guedes, Roni Valter de Souza, Lopes, Pabricio Marcos Oliveira, Nobrega, Ranyere Silva, Pandorfi, Heliton, Bezerra, Alan Cezar, Batista, Pedro Henrique Dias, Jesus, Fernanda Lamede Ferreira de, Sanches, Arthur Carniato, Santos, Rodrigo Couto | Reflectance | |
| Drought Monitoring & Changes in the Vegetation Cover of Aurangabad Region, Maharashtra Over Last Two Decades: A Comparative Study of Remote Sensing ... | Nitwane, Rashmi, Bhagile, Vaishali, Deshmukh, Ratnadeep | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| A near real-time web-system for predicting fire spread across the Cerrado biome | Oliveira, Ubirajara, Soares-Filho, Britaldo, Rodrigues, Hermann, Figueira, Danilo, Gomes, Leticia, Leles, William, Berlinck, Christian, Morelli, Fabiano, Bustamante, Mercedes, Ometto, Jean, Miranda, Heloisa | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Reflectance | |
| Satellite evidence for small biophysical effects of transport infrastructure in the Qinghai-Tibet Plateau | Zhou, Decheng, Zhang, Liangxia, Huang, Lin, Fan, Jiangwen, Li, Yuzhe, Zhang, Haiyan | Land Surface Temperature, Emissivity, Reflectance, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Satellite-Based Ranking of the World's Hottest and Coldest Cities Reveals Inequitable Distribution of Temperature Extremes | Li, Jiufeng, Zhan, Wenfeng, Chakraborty, T. C., Liu, Zihan, Du, Huilin, Liao, Weilin, Luo, Ming, Li, Long, Miao, Shiqi, Fu, Huyan, Wang, Shasha, Huang, Fan, Li, Manchun | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| A method to derive satellite PAR albedo time series over first-year sea ice in the Arctic Ocean | Laliberte, Julien, Rehm, Eric, Hamre, Borge, Goyens, Clemence, Perovich, Donald K., Babin, Marcel | Reflectance | |
| Long-term topographic effect on remotely sensed vegetation index-based gross primary productivity (GPP) estimation at the watershed scale | Xie, Xinyao, Tian, Jie, Wu, Changlin, Li, Ainong, Jin, Huaan, Bian, Jinhu, Zhang, Zhengjian, Nan, Xi, Jin, Yuan | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Land Surface Temperature, Emissivity | |
| A reliable and adaptive spatiotemporal data fusion method for blending multi-spatiotemporal-resolution satellite images | Shi, Wenzhong, Guo, Dizhou, Zhang, Hua | Reflectance | |
| Crop production response to soil moisture and groundwater depletion in the Nile Basin based on multi-source data | Nigatu, Zemede M., Fan, Dongming, You, Wei, Melesse, Assefa M., Pu, Lun, Yang, Xinchun, Wan, Xiangyu, Jiang, Zhongshan | 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, Ground Water, Emissivity, Reflectance | |
| Single-blind determination of methane detection limits and quantification accuracy using aircraft-based LiDAR | Bell, Clay, Rutherford, Jeff, Brandt, Adam, Sherwin, Evan, Vaughn, Timothy, Zimmerle, Daniel | Reflectance | |
| Understanding the spatiotemporal patterns of seasonal, annual, and | Li, Le, Pan, Yaozhong, Zheng, Rongbao, Liu, Xiaoping | Land Use/Land Cover Classification, Reflectance, Land Surface Temperature, Emissivity | |
| A cloud-based toolbox for the versatile environmental annotation of biodiversity data | Li, Richard, Ranipeta, Ajay, Wilshire, John, Malczyk, Jeremy, Duong, Michelle, Guralnick, Robert, Wilson, Adam, Jetz, Walter | Reflectance, Land Surface Temperature, Emissivity, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM) | |
| A global assessment of PT-JPL soil evaporation in agroecosystems with optical, thermal, and microwave satellite data | Zhang, Lilin, Marshall, Michael, Nelson, Andy, Vrieling, Anton | Land Surface Temperature, Emissivity, Reflectance | |
| A MODIS-based scalable remote sensing method to estimate sowing and harvest dates of soybean crops in Mato Grosso, Brazil | Zhang, Minghui, Abrahao, Gabriel, Cohn, Avery, Campolo, Jake, Thompson, Sally | Reflectance | |
| Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite | Yeom, Jong-Min, Jeong, Seungtaek, Deo, Ravinesh C, Ko, Jonghan | RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Reflectance | |
| MODIS PRI performance to track Light Use Efficiency of a Mediterranean coniferous forest: Determinants, restrictions and the role of LUE range | Vanikiotis, Theofilos, Stagakis, Stavros, Kyparissis, Aris | Reflectance | |
| Monitoring meteorological drought in southern china using remote sensing data | Liu, Li, Huang, Ran, Cheng, Jiefeng, Liu, Weiwei, Chen, Yan, Shao, Qi, Duan, Dingding, Wei, Pengliang, Chen, Yuanyuan, Huang, Jingfeng | Land Use/Land Cover Classification, Reflectance | |
| MOSEV: A global burn severity database from MODIS (2000-2020) | Alonso-Gonzalez, Esteban, Fernandez-Garcia, Victor | Reflectance, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Estimation of pixel-level seismic vulnerability of the building environment based on mid-resolution optical remote sensing images | Fan, Xiwei, Nie, Gaozhong, Xia, Chaoxu, Zhou, Junxue | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy | |
| Hurricane Irma impact on biophysical and biochemical features of canopy vegetation in the Santa Fe River Basin, Florida | Bellanthudawa, B. Kushan Aravinda, Chang, Ni-Bin | Evapotranspiration, Latent Heat Flux, Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Emissivity | |
| 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 | |
| Flow duration curves from surface reflectance in the near infrared band | Tarpanelli, Angelica, Domeneghetti, Alessio | Reflectance | |
| Combining multi-spectral and thermal remote sensing to predict forest fire characteristics | Maffei, Carmine, Lindenbergh, Roderik, Menenti, Massimo | Land Surface Temperature, Emissivity, Reflectance | |
| The potential of active and passive remote sensing to detect frequent harvesting of alfalfa | Zhou, Yuting, Flynn, K. Colton, Gowda, Prasanna H., Wagle, Pradeep, Ma, Shengfang, Kakani, Vijaya G., Steiner, Jean L. | Reflectance | |
| The analysis of using satellite soil moisture observations for flood detection, evaluating over the Thailands Great Flood of 2011 | Tangdamrongsub, Natthachet, Forgotson, Chalita, Gangodagamage, Chandana, Forgotson, Joshua | Reflectance | |
| Trends of the contributions of biophysical (climate) and socioeconomic elements to regional heat islands | Chen, Shengzi, Yu, Zhaowu, Liu, Min, Da, Liangjun, Faiz ul Hassan, Muhammad | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Reflectance, Albedo, Anisotropy | |
| Maize yield estimation in kenya using MODIS | Kenduiywo, B. K., Ghosh, A., Hijmans, R., Ndungu, L. | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Long-term (2008-2017) analysis of atmospheric composite aerosol and black carbon radiative forcing over a semi-arid region in southern IndiaModel results and ground measurement | Kalluri, Raja Obul Reddy, Gugamsetty, Balakrishnaiah, Kotalo, Rama Gopal, Thotli, Lokeswara Reddy, Tandule, Chakradhar Rao, Akkiraju, Bhavyasree | Reflectance | |
| Estimation of suspended sediment concentration by M5 model tree based on hydrological and Moderate Resolution Imaging Spectroradiometer (MODIS) data | Zahiri, Javad, Mollaee, Zeynab, Ansari, Mohammad Reza | Reflectance | |
| How machine learning and highresolution imagery can improve melt pond retrieval from MODIS over current spectral unmixing techniques | Wright, Nicholas C., Polashenski, Chris M. | Reflectance | |
| Photoperiod Explains the Asynchronization Between Vegetation Carbon Phenology and Vegetation Greenness Phenology | Kong, Dongdong, Zhang, Yongqiang, Wang, Dagang, Chen, Jianyao, Gu, Xihui | Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A spatially explicit surface urban heat island database for the United StatesCharacterization, uncertainties, and possible applications | Chakraborty, T., Hsu, A., Manya, D., Sheriff, G. | Land Surface Temperature, Emissivity, Reflectance | |
| Albedo impacts of changing agricultural practices in the United States through space-borne analysis | Starr, Jon, Zhang, Jianglong, Reid, Jeffrey S., Roberts, David C. | Reflectance | |
| Dark Glacier Surface of Greenland's Largest Floating Tongue Governed by | Humbert, Angelika, Schroder, Ludwig, Schultz, Timm, Muller, Ralf, Neckel, Niklas, Helm, Veit, Zindler, Robin, Eleftheriadis, Konstantinos, Salzano, Roberto, Salvatori, Rosamaria | Reflectance | |
| Remote sensing index for mapping canola flowers using MODIS data | Zang, Yunze, Chen, Xuehong, Chen, Jin, Tian, Yugang, Shi, Yusheng, Cao, Xin, Cui, Xihong | Reflectance | |
| Satellite-observed changes of surface spectral reflectances due to solar farming and the implication for radiation budget | Fan, Chongxing, Huang, Xianglei | Reflectance | |
| Understanding the role of phenology and summer physiology in controlling net ecosystem productionA multiscale comparison of satellite, PhenoCam and eddy covariance data | Liu, Ying, Wu, Chaoyang | Reflectance | |
| How is environmental greenness related to students' academic performance in English and mathematics? | Tuen Veronica Leung, Wing, Yee Tiffany Tam, Tuen, Pan, Wen-Chi, Wu, Chih-Da, Candice Lung, Shih-Chun, Spengler, John D. | Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Predicting forest fires burned area and rate of spread from pre-fire multispectral satellite measurements | Maffei, Carmine, Menenti, Massimo | Reflectance | |
| Accuracy assessment of MODIS land aerosol optical thickness algorithms using AERONET measurements over North America | Jethva, Hiren, Torres, Omar, Yoshida, Yasuko | Aerosol Optical Depth/Thickness, Reflectance, Aerosol Backscatter, Aerosol Extinction, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Optical Depth/Thickness, Radiative Flux, 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 |
|---|---|---|---|---|---|---|---|
| sur_refl_b01 | Surface Reflectance Band 1 (620-670 nm) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b02 | Surface Reflectance Band 2 (841-876 nm) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b03 | Surface Reflectance Band 3 (459-479 nm) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b04 | Surface Reflectance Band 4 (545-565 nm) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b05 | Surface Reflectance Band 5 (1230-1250 nm) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b06 | Surface Reflectance Band 6 (1628-1652 nm) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b07 | Surface Reflectance Band 7 (2105-2155 nm) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_day_of_year | Day of the year for the pixel | Julian day | uint16 | 65535 | 1 to 366 | N/A | N/A |
| sur_refl_qc_500m | Surface reflectance 500m band quality control flags | Bit Field | uint32 | 4294967295 | 0 to 4294966531 | N/A | N/A |
| sur_refl_raz | MODIS relative azimuth angle | Degree | int16 | 0 | -18000 to 18000 | 0.01 | N/A |
| sur_refl_state_500m | Surface reflectance 500m state flags | Bit Field | uint16 | 65535 | 0 to 57343 | N/A | N/A |
| sur_refl_szen | MODIS solar zenith angle | Degree | int16 | 0 | 0 to 18000 | 0.01 | N/A |
| sur_refl_vzen | MODIS view zenith angle | Degree | int16 | 0 | 0 to 18000 | 0.01 | N/A |