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 |
|---|---|---|---|
| A CNN-Transformer Hybrid Framework for Mapping Annual Wheat Fractional Cover from 2001-2023 using MODIS Satellite Data over Asia | Li, Wenyuan, Liang, Shunlin, Chen, Yongzhe, Ma, Han, Xu, Jianglei, Ma, Yichuan, Chen, Zhongxin, Fang, Husheng, Zhang, Fengjiao | Reflectance | |
| Monitoring Agricultural Stress Using Multi-Sensor Satellite Data and Machine Learning Techniques | Vatkar, Shilpa, Kulkarni, Sujata | Reflectance | |
| Remote Sensing Based Analysis of Crop and Drought Stress Using Multi-Satellite Data | Vatkar, Shilpa | Reflectance | |
| A 30-meter resolution global land productivity dynamics dataset from 2013 to 2022 | Li, Xiaosong, Shen, Tong, Garcia, Cesar Luis, Teich, Ingrid, Chen, Yang, Chen, Jin, Kabo-Bah, Amos Tiereyangn, Yang, Ziyu, Jia, Xiaoxia, Lu, Qi, Nyamtseren, Mandakh | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Reflectance | |
| An Automatic Google Earth Engine Tool for Generating Lake Water Area | Elmi, Omid, Ahrari, Amirhossein | Reflectance | |
| Assessing vegetation phenology dynamics in West African rangelands: Implications for livestock sustainability and transhumance | Estefania-Salazar, Enrique, Iglesias, Eva | Reflectance | |
| Historical and future dynamics of soil organic carbon and driving | Zhang, Lei, Xu, Tongtong, Bai, Yue, Wiesmeier, Martin, Li, Huiwen, Huang, Yue, Liu, Yu, Xie, Beilong, Song, Mingrui, Wu, Jiaru, Liu, Chen | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Reflectance, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Malaria risk assessment in Indonesia: a machine and deep learning | Sakti, Anjar Dimara, Mahdani, Jasmine Nur, Muhammad, Hubbi Nashrullah, Sihotang, Elstri, Santoso, Cokro, Khairunnisah, Fauziyyah, Afina Nur, Rinawan, Fedri Ruluwedrata, Supardi, Khairunnisa, Caraka, Rezzy Eko, Wikantika, Ketut | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Evapotranspiration, Latent Heat Flux | |
| Land surface temperature variability and climate change assessment for Ludhiana's tehsils using google earth engine | Kochhar, Aarti, Patel, Shashikant, Gupta, Ritika, Dhaliwal, Manveer Kaur, Pateriya, Brijendra | Reflectance, Land Surface Temperature, Emissivity | |
| Spatiotemporal dynamics of land surface phenology and its response to climate change in the upper Gelana watershed, northeastern highlands of Ethiopia | Tadesse, Sileshi, Mekuriaw, Asnake, Assen, Mohammed | Reflectance | |
| Resilience to Forest Fires: An Indicator-Based Study in a Tropical Forest of Uttarakhand, India | Aryalakshmi, M., Indu, J., Karthikeyan, L. | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Reflectance | |
| A global annual fractional tree cover dataset during 20002021 generated from realigned MODIS seasonal data | Liu, Yang, Liu, Ronggao, Chen, Jilong, Wei, Xuexin, Qi, Lin, Zhao, Lei | Reflectance, Land Surface Temperature, Emissivity | |
| Agroecology-based analysis of meteorological and agricultural drought using time series remote sensing data in the upper Gelana watershed, Ethiopia | Tadesse, Sileshi, Mekuriaw, Asnake | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Reflectance, Land Surface Temperature, Emissivity | |
| Evapotranspiration determination with satellite and reanalysis data | Consejo Nacional de Investigaciones Cientificas y Tecnicas, Instituto de Hidrologia de Llanuras, Tandil, Buenos Aires, Argentina, Degano, Maria Florencia, Rivas, Raul Eduardo, Bayala, Martin Ignacio | Reflectance, Evapotranspiration, Latent Heat Flux, Albedo, Anisotropy | |
| Estimation of Water Surface Reflectance and Total Suspended Solid Using MODIS Images for a Reservoir in the Brazilian Semiarid Region. | Department of Civil and Environmental Engineering, Federal University of Paraiba, 58051-900 Joao Pessoa, Brazil, Rocha, V. N. L., Santos, C. A. G., Silva, R. M. | Reflectance | |
| LamaH-Ice: LArge-SaMple DAta for Hydrology and Environmental Sciences for Iceland | Helgason, Hordur Bragi, Nijssen, Bart | Stratigraphic Sequence, Digital Elevation/Terrain Model (DEM), Soil Depth, Sediments, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Land Use/Land Cover Classification | |
| Improving Error Estimates for Evaluating Satellite-Based Atmospheric | Silveira, Bruna Barbosa, Casse, Vincent, Chomette, Olivier, Crevoisier, Cyril | Reflectance | |
| Usable observations over Europe: evaluation of compositing windows for Landsat and Sentinel-2 time series | Lewinska, Katarzyna Ewa, Frantz, David, Leser, Ulf, Hostert, Patrick | Reflectance, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Transitioning from MODIS to VIIRS Global Water Reservoir Product | Shah, Deep, Zhang, Shuai, Sarkar, Sudipta, Davidson, Carol, Zhang, Rui, Zhao, Maosheng, Devadiga, Sadashiva, Noojipady, Praveen, Roman, Miguel O., Gao, Huilin | Lakes/Reservoirs, WATER SURFACE HEIGHT, Total Surface Water, Bed Elevation, Emissivity, Land Surface Temperature, Reflectance | |
| Spatiotemporal variation of spring phenology and the corresponding scale | Zhu, Chongjing, She, Xiaojun, Gao, Xiaojie, Huang, Yajun, Zeng, Yelu, Ding, Chao, Fu, Dongjie, Shao, Jing, Li, Yao | Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Assessment of Vegetation Dynamics of Paddy Crop Using TIMESAT and Remote Sensing and GIS Techniques in Command Areas | Tiwari, S. K., Prasada Rao, G., Sundar, B. | Reflectance | |
| Yield Estimation of Wheat Using Cropland Masks from European Common Agrarian Policy: Comparing the Performance of EVI2, NDVI, and MTCI in Spanish ... | Garcia-Perez, M. A., Rodriguez-Galiano, V., Sanchez-Rodriguez, E., Egea-Cobrero, V. | Reflectance | |
| Diverse migratory portfolios drive inter-annual switching behavior of | Zuckerman, Gabriel R., Barker, Kristin J., Gigliotti, Laura C., Cole, Eric K., Gude, Justin A., Hurley, Mark A., Kauffman, Matthew J., Lutz, Daryl, MacNulty, Daniel R., Maichak, Eric J., McWhirter, Doug, Mong, Tony W., Proffitt, Kelly, Scurlock, Brandon M., Stahler, Daniel R., Wise, Ben, Middleton, Arthur D. | Reflectance | |
| Contrasting photoprotective responses of forest trees revealed using PRI | Gamon, John A., Wang, Ran, Russo, Sabrina E. | Reflectance | |
| Habitat selection and water dependency of feral burros in the Mojave Desert, California, USA | Karish, Talesha, Roemer, Gary W., Delaney, David K., Reddell, Craig D., Cain, James W. | 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 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_b02 | Surface Reflectance Band 2 | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| sur_refl_qc_250m | Surface Reflectance 250m Band Quality Control flags | Bit Field | uint16 | 65535 | 0 to 32767 | N/A | N/A |
| sur_refl_state_250m | Surface Reflectance 250m State flags | Bit Field | uint16 | 65535 | 0 to 57343 | N/A | N/A |