N: 90 S: -90 E: 180 W: -180
Description
The MOD09Q1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD09Q1 Version 6.1 data product.
The MOD09Q1 Version 6 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Provided along with the 250 meter (m) surface reflectance bands are two quality layers. 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
- 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 (MOD09Q1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002273), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h12v01), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151111744), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Satellite data track spatial and temporal declines in European beech forest canopy characteristics associated with intense drought events in the Rhon Biosphere Reserve, central Germany | West, E., Morley, P. J., Jump, A. S., Donoghue, D. N. M. | Reflectance | |
| Spatiotemporal fusion modelling using STARFMExamples of Landsat 8 and Sentinel-2 NDVI in Bavaria | Dhillon, Maninder Singh, Dahms, Thorsten, Kubert-Flock, Carina, Steffan-Dewenter, Ingolf, Zhang, Jie, Ullmann, Tobias | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy | |
| Seeing the locust in the swarmAccounting for spatiotemporal hierarchy improves ecological models of insect populations | Lawton, Douglas, Scarth, Peter, Deveson, Edward, Piou, Cyril, Spessa, Allan, Waters, Cathy, Cease, Arianne J. | Reflectance | |
| Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning | Klingler, Christoph, Feigl, Moritz, Borgwardt, Florian, Seliger, Carina, Schmutz, Stefan, Herrnegger, Mathew | Land Use/Land Cover Classification, Reflectance, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Stratigraphic Sequence, Digital Elevation/Terrain Model (DEM), Soil Depth, Sediments | |
| Crop-specific phenomapping by fusing Landsat and Sentinel data with MODIS time series | Schreier, Jonas, Ghazaryan, Gohar, Dubovyk, Olena | Reflectance | |
| Evaluating the spatio-temporal distribution of irrigation water components for water resources management using geo-informatics approach | Mohsin Waqas, Muhammad, Waseem, Muhammad, Ali, Sikandar, Kebede Leta, Megersa, Noor Shah, Adnan, Khalid Awan, Usman, Hamid Hussain Shah, Syed, Yang, Tao, Ullah, Sami | Reflectance, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| 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 | |
| Fractional vegetation cover estimation algorithm based on recurrent neural network for MODIS 250 m reflectance data | Liu, Duanyang, Jia, Kun, Xia, Mu, Wei, Xiangqin, Yao, Yunjun, Zhang, Xiaotong, Tao, Guofeng | Land Use/Land Cover Classification, Reflectance | |
| Hydrological ecosystem changes and impacts after the Zonag Lake outburst in Hoh Xil of Tibetan Plateau | Chen, Yanpei, Lu, Shanlong, Zhou, Jinfeng, Baig, Muhammad Hasan Ali, Chen, Fu, Tang, Hailong, Zhang, Yongfei, Yang, Xiaohong, Ge, Liqiang | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| Integrating InSAR and deep-learning for modeling and predicting subsidence over the adjacent area of Lake Urmia, Iran | Radman, Ali, Akhoondzadeh, Mehdi, Hosseiny, Benyamin | 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, Total Surface Precipitation Rate, Reflectance | |
| Integration of a crop growth model and deep learning methods to improve satellite-based yield estimation of winter wheat in henan province, china | Xie, Yi, Huang, Jianxi | Reflectance | |
| Detecting the oak lace bug infestation in oak forests using MODIS and | Kern, Aniko, Marjanovic, Hrvoje, Csoka, Gyorgy, Moricz, Norbert, Pernek, Milan, Hirka, Aniko, Matosevic, Dinka, Paulin, Marton, Kovac, Goran | Reflectance | |
| Article integrating modis and landsat data for land cover classification by multilevel decision rule | Guan, Xudong, Huang, Chong, Zhang, Rui | Reflectance | |
| Climate and socioeconomic factors drive irrigated agriculture dynamics in the lower Colorado river basin | Norton, Cynthia L., Dannenberg, Matthew P., Yan, Dong, Wallace, Cynthia S. A., Rodriguez, Jesus R., Munson, Seth M., van Leeuwen, Willem J. D., Smith, William K. | Reflectance | |
| Modelling Daily Gross Primary Productivity with Sentinel-2 Data in the | Cai, Zhanzhang, Junttila, Sofia, Holst, Jutta, Jin, Hongxiao, Ardo, Jonas, Ibrom, Andreas, Peichl, Matthias, Molder, Meelis, Jonsson, Per, Rinne, Janne, Karamihalaki, Maria, Eklundh, Lars | Reflectance | |
| NASAs MODIS/VIIRS globalwater reservoir product suite from moderate resolution remote sensing data | Li, Yao, Zhao, Gang, Shah, Deep, Zhao, Maosheng, Sarkar, Sudipta, Devadiga, Sadashiva, Zhao, Bingjie, Zhang, Shuai, Gao, Huilin | Lakes/Reservoirs, Total Surface Water, Bed Elevation, WATER SURFACE HEIGHT, Reflectance, Land Surface Temperature, Emissivity | |
| Normalized difference vegetation index temporal responses to temperature and precipitation in arid rangelands | Sanz, Ernesto, Saa-Requejo, Antonio, Diaz-Ambrona, Carlos H., Ruiz-Ramos, Margarita, Rodriguez, Alfredo, Iglesias, Eva, Esteve, Paloma, Soriano, Barbara, Tarquis, Ana M. | Reflectance | |
| A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the SavitzkyGolay filter | Chen, Yang, Cao, Ruyin, Chen, Jin, Liu, Licong, Matsushita, Bunkei | Reflectance | |
| A novel strategy to reconstruct ndvi time-series with high temporal resolution from modis multi-temporal composite products | Zeng, Linglin, Wardlow, Brian D., Hu, Shun, Zhang, Xiang, Zhou, Guoqing, Peng, Guozhang, Xiang, Daxiang, Wang, Rui, Meng, Ran, Wu, Weixiong | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| A method for quality management of vegetation phenophases derived from satellite remote sensing data | Ruan, Yongjian, Zhang, Xinchang, Xin, Qinchuan, Sun, Ying, Ao, Zurui, Jiang, Xin | Reflectance, Plant Phenology, Enhanced Vegetation Index (EVI), Plant Characteristics, Vegetation Cover, Vegetation Index, Snow Water Equivalent, Soil Heat Budget, Snow Depth, Soil Moisture/Water Content, Heat Flux, Land Surface Temperature, Shortwave Radiation, Albedo, Evapotranspiration, Drainage, Precipitation Amount, Drainage | |
| A method to derive tidal flat topography in Nantong, China using MODIS data and tidal levels | Zhang, Huiming, Hu, Luojia, Zhang, Dong, Zhou, Yong, Ma, Yue, Wang, Xiao Hua, Wang, Yuqing, Xu, Min, Xu, Nan | Reflectance | |
| Analysis of forest stand resistance to insect attack according to remote sensing data | Kovalev, Anton, Soukhovolsky, Vladislav | Land Surface Temperature, Emissivity, Reflectance | |
| Generating surface soil moisture at 30 m spatial resolution using both | Abowarda, Ahmed Samir, Bai, Liangliang, Zhang, Caijin, Long, Di, Li, Xueying, Huang, Qi, Sun, Zhangli | Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| Bfast lite: A lightweight break detection method for time series analysis | Masiliunas, Dainius, Tsendbazar, Nandin-Erdene, Herold, Martin, Verbesselt, Jan | Reflectance | |
| Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data | Nolde, Michael, Mueller, Norman, Strunz, Gunter, Riedlinger, Torsten | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Reflectance, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES |