N: 90 S: -90 E: 180 W: -180
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The submitted value 10 in the Items element is not allowed.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
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 | |
| 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) | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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) | |
| Modification of Statistical Metric Biases in Large-Region and Long-Time-Series Landsat Dataset Due to Insufficient Observations | Wang, Li, Zhang, Yangjian, Song, Wanjuan, Zhou, Quan, Li, Wang, Huang, Ni, Xu, Shiguang, Niu, Zheng | Reflectance | |
| Forecasting wildfire hazard across northwestern south America | Markos, Andrea, Matt Jolly, William, Alvarado, Ernesto, Podschwit, Harry, Barreto, Sebastian, Toban, Catherine, Ponce, Blanca, Aliaga-Nestares, Vannia, Rodriguez-Zimmermann, Diego | 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 | |
| Improved global 250 m 8-day NDVI and EVI products from 20002021 using the LSTM model | Xiong, Changhao, Ma, Han, Liang, Shunlin, He, Tao, Zhang, Yufang, Zhang, Guodong, Xu, Jianglei | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), 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 | |
| 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 | |
| Contrasting photoprotective responses of forest trees revealed using PRI | Gamon, John A., Wang, Ran, Russo, Sabrina E. | Reflectance | |
| Nitrogen nutrient supply and greenhouse gas mitigation potentials from cover crops across Chinese croplands | Wang, Yicheng, Tao, Fulu | Reflectance | |
| Response of greater sage-grouse to sagebrush reduction treatments in | Smith, Kurt T., Levan, Jason R., Chalfoun, Anna D., Christiansen, Thomas J., Harter, Stanley R., Oberlie, Sue, Beck, Jeffrey L. | Reflectance | |
| Satellite forecasting of crop harvest can trigger a cross-hemispheric production response and improve global food security | Tanaka, Tetsuji, Sun, Laixiang, Becker-Reshef, Inbal, Song, Xiao-Peng, Puricelli, Estefania | Reflectance | |
| Toward 30 m Fine-Resolution Land Surface Phenology Mapping at a Large | Ruan, Yongjian, Ruan, Baozhen, Zhang, Xinchang, Ao, Zurui, Xin, Qinchuan, Sun, Ying, Jing, Fengrui | Reflectance, Plant Phenology, Enhanced Vegetation Index (EVI), Plant Characteristics, Vegetation Cover, Vegetation Index, Nitrogen, Atmospheric Carbon Dioxide, Tree Rings, Forests, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Carbon | |
| Temperature and microclimate refugia use influence migratory timings of a threatened grassland bird | Ramos, Rita F., Franco, Aldina M.A., Gilroy, James J., Silva, Joao P. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| Validating remotely sensed land surface phenology with leaf out records from a citizen science network | Purdy, Logan M., Sang, Zihaohan, Beaubien, Elisabeth, Hamann, Andreas | Reflectance, Plant Phenology, Enhanced Vegetation Index (EVI), Vegetation Index, Plant Phenological Changes, Normalized Difference Vegetation Index (NDVI) | |
| Trends of greening and browning in terrestrial vegetation in China from 2000 to 2020 | Yi, Kunpeng, Zhao, Xueming, Zheng, Zhaoju, Zhao, Dan, Zeng, Yuan | 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 | |
| A continuous change tracker model for remote sensing time series reconstruction | Zhang, Yangjian, Wang, Li, He, Yuanhuizi, Huang, Ni, Li, Wang, Xu, Shiguang, Zhou, Quan, Song, Wanjuan, Duan, Wensheng, Wang, Xiaoyue, Muhammad, Shakir, Nath, Biswajit, Zhu, Luying, Tang, Feng, Du, Huilin, Wang, Lei, Niu, Zheng | Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Reflectance | |
| A 250 m resolution global leaf area index product derived from MODIS surface reflectance data | Xiao, Zhiqiang, Song, Jinling, Yang, Hua, Sun, Rui, Li, Juan | Reflectance, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Monitoring and Predicting Temporal Changes of Urmia Lake and its Basin Using Satellite Multi-Sensor Data and Deep-Learning Algorithms | Radman, Ali, Akhoondzadeh, Mehdi, Hosseiny, Benyamin | Total Surface Precipitation Rate, Reflectance | |
| Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model | Ma, Han, Liang, Shunlin | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Reflectance | |
| Effect of tillage and crop type on soil respiration in a long-term field experiment on chernozem soil under temperate climate | Gelybo, Gy., Barcza, Z., Dencso, M., Potyo, I., Kasa, I., Horel, A., Pokovai, K., Birkas, M., Kern, A., Hollos, R., Toth, E. | Reflectance | |
| Energy and physiological tolerance explain multitrophic soil diversity in temperate mountains | CalderonSanou, Irene, Zinger, Lucie, Hedde, Mickael, MartinezAlmoyna, Camille, Saillard, Amelie, Renaud, Julien, Gielly, Ludovic, Khedim, Norine, Lionnet, Clement, Ohlmann, Marc, Consortium, Orchamp, Munkemuller, Tamara, Thuiller, Wilfried | Reflectance | |
| HydroSat: geometric quantities of the global water cycle from geodetic satellites | Tourian, Mohammad J., Elmi, Omid, Shafaghi, Yasin, Behnia, Sajedeh, Saemian, Peyman, Schlesinger, Ron, Sneeuw, Nico | Reflectance, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM) | |
| Identifying management-driven dynamics in vegetation cover: Applying the | Donohue, Randall J., Mokany, Karel, McVicar, Tim R., O'Grady, Anthony P. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| Improved identification of cotton cultivated areas by applying instance-based transfer learning on the time series of MODIS NDVI | Xun, Lan, Zhang, Jiahua, Yao, Fengmei, Cao, Dan | Land Use/Land Cover Classification, Reflectance | |
| Potential microbial enzyme activity in seasonal snowpack is high and | Hoffman, Abigail S., van Diepen, Linda T. A., Albeke, Shannon E., Williams, David G. | Reflectance | |
| Recurrence plots for quantifying the vegetation indices dynamics in a semi-arid grassland | Almeida-Naunay, Andres F., Benito, Rosa M., Quemada, Miguel, Losada, Juan C., Tarquis, Ana M. | Reflectance | |
| Assessing the inundation dynamics and its impacts on habitat suitability in Poyang Lake based on integrating Landsat and MODIS observations | Mu, Shaojie, Yang, Guishan, Xu, Xibao, Wan, Rongrong, Li, Bing | Reflectance | |
| Development of a new index for automated mapping of ratoon rice areas using time-series normalized difference vegetation index imagery | LI, Bolun, PENG, Shaobing, SHEN, Runping, YANG, Zong-Liang, YAN, Xiaoyuan, LI, Xiaofeng, LI, Rongrong, LI, Chengye, ZHANG, Guangbin | Land Use/Land Cover Classification, Reflectance, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM) | |
| Development of a simplified technique for gap filling of Normalize Difference Vegetation Index (NDVI) time series data | Faisal, M., Makar, R. S. | Reflectance | |
| Daily spatial complete soil moisture mapping over southeast China using CYGNSS and MODIS data | Yang, Ting, Sun, Zhigang, Wang, Jundong, Li, Sen | Land Surface Temperature, Emissivity, Reflectance, Albedo, Anisotropy |
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 |