N: 90 S: -90 E: 180 W: -180
Description
The MOD09Q1 Version 6.1 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
- 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 (A2025209), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h35v10), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025218035627), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
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QUESTIONS & SUPPORT
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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 | |
| Enhancing drought resilience: An index insurance scheme for West African | Estefania-Salazar, Enrique, Iglesias, Eva | Reflectance | |
| Improved estimation of crop coefficients and water requirements for | Zhang, Teng, Chu, Dong, Hu, Junkang, Liddell, Michael, Liu, Xiaolong, Sun, Liang, Song, Lisheng | Reflectance | |
| Identifying Priority Vegetation Zones for Floodplain Wetland Management | Liu, Yang, Yang, Zhonghua, Yue, Yao, Liu, Jianhua | Reflectance | |
| Soil information and soil property maps for the Kurdistan region, Dohuk | Bellat, Mathias, Zebari, Mjahid, Glissmann, Benjamin, Rentschler, Tobias, Sconzo, Paola, Kakhani, Nafiseh, Taghizadeh-Mehrjardi, Ruhollah, Kohsravani, Pegah, Brifkany, Bekas, Pfalzner, Peter, Scholten, Thomas | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Land Surface Temperature, Emissivity | |
| A framework for effective long-term conservation in a changing climate | Tang, Ying, Winkler, Julie A., Vina, Andres, Wang, Fang, Frans, Veronica F., Zhang, Jindong, Zhao, Zhiqiang, Connor, Thomas, Yang, Hongbo, Zhang, Yuanbin, Zhang, Xiaofeng, Li, Xiaohong, Xu, Weihua, Ouyang, Zhiyun, Liu, Jianguo | Reflectance, Emissivity, Land Surface Temperature | |
| Estimating Regional Groundwater Level by Combining Satellite, Model, and Large-Sample Observations Inputs | Cao, Yijing, Zhang, Yongqiang, Chen, Yuyin, Zhang, Xuanze, Tian, Jing, Yang, Xuening, Huang, Qi, Su, Jianzhong | Land Use/Land Cover Classification, Reflectance | |
| Recent trends of Utah's changing wintertime weather and climate characteristics | Meyer, Jonathan D. D., Wright, Timothy E., Gu, Hongping, Gillies, Robert R. | Reflectance | |
| An End-to-End Foundation Model-Based Framework for Robust LAI Retrieval | Gu, Xiangfeng, Li, Wenyuan, Guan, Shikang | Reflectance | |
| Assessing vegetation phenology dynamics in West African rangelands: Implications for livestock sustainability and transhumance | Estefania-Salazar, Enrique, Iglesias, Eva | Reflectance | |
| An Automatic Google Earth Engine Tool for Generating Lake Water Area | Elmi, Omid, Ahrari, Amirhossein | 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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) | |
| 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 | |
| Hierarchy in Structuring of Resource Selection: Understanding Elk | Crews, Storm, Rayl, Nathaniel D., Alldredge, Mathew W., Bergman, Eric J., Anderson, Chuck R., VanNatta, Eric H., Holbrook, Joseph D., BastilleRousseau, Guillaume | Reflectance | |
| Bridging the gap in carbon cycle studies: Meteorological station-based | Zhang, Wenqiang, Luo, Geping, Hamdi, Rafiq, Ma, Xiumei, Termonia, Piet, De Maeyer, Philippe, Chen, Anping | Reflectance | |
| 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 | |
| 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 | |
| Improving Error Estimates for Evaluating Satellite-Based Atmospheric | Silveira, Bruna Barbosa, Casse, Vincent, Chomette, Olivier, Crevoisier, Cyril | 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 |
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 |