N: 90 S: -90 E: 180 W: -180
Description
The MOD09GQ Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD09GQ Version 6.1 data product.
The MOD09GQ Version 6 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter (m) bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the 250 m surface reflectance bands are the Quality Assurance (QA) layer and five observation layers. This product is intended to be used in conjunction with the quality and viewing geometry information of the 500 m product (MOD09GA).
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 (MOD09GQ) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002281), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h33v11), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151071841), 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 |
|---|---|---|---|
| Comparison of RGB and Multispectral Unmanned Aerial Vehicle for Monitoring Vegetation Coverage Changes on a Landslide Area | Furukawa, Flavio, Laneng, Lauretta Andrew, Ando, Hiroaki, Yoshimura, Nobuhiko, Kaneko, Masami, Morimoto, Junko | Reflectance | |
| Salt Marsh Light Use Efficiency is Driven by Environmental Gradients and SpeciesSpecific Physiology and Morphology | Hawman, Peter A., Mishra, Deepak R., OConnell, Jessica L., Cotten, David L., Narron, Caroline R., Mao, Lishen | Reflectance | |
| The humanenvironment nexus and vegetationrainfall sensitivity in tropical drylands | Abel, Christin, Horion, Stephanie, Tagesson, Torbern, De Keersmaecker, Wanda, Seddon, Alistair W. R., Abdi, Abdulhakim M., Fensholt, Rasmus | Land Use/Land Cover, Anthropogenic/Human Influenced Ecosystems, Population Density, Reflectance, Plant Phenology, Normalized Difference Vegetation Index (NDVI), Plant Phenological Changes | |
| The ARYA crop yield forecasting algorithmApplication to the main wheat exporting countries | Franch, B., Vermote, E., Skakun, S., Santamaria-Artigas, A., Kalecinski, N., Roger, J.-C., Becker-Reshef, I., Barker, B., Justice, C., Sobrino, J.A. | Reflectance, Land Surface Temperature, Emissivity | |
| Temporal Variability of Surface Reflectance Supersedes Spatial Resolution in Defining Greenlands Bare-Ice Albedo | Irvine-Fynn, Tristram D. L., Bunting, Pete, Cook, Joseph M., Hubbard, Alun, Barrand, Nicholas E., Hanna, Edward, Hardy, Andy J., Hodson, Andrew J., Holt, Tom O., Huss, Matthias, McQuaid, James B., Nilsson, Johan, Naegeli, Kathrin, Roberts, Osian, Ryan, Jonathan C., Tedstone, Andrew J., Tranter, Martyn, Williamson, Christopher J. | Reflectance | |
| Temperature-Vegetation-soil Moisture-Precipitation Drought Index (TVMPDI); 21-year drought monitoring in Iran using satellite imagery within Google Earth Engine | Mehravar, Soroosh, Amani, Meisam, Moghimi, Armin, Dadrass Javan, Farzaneh, Samadzadegan, Farhad, Ghorbanian, Arsalan, Stein, Alfred, Mohammadzadeh, Ali, Mirmazloumi, S. Mohammad | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Land Surface Temperature, Emissivity, Total Surface Precipitation Rate | |
| Start of the green season and normalized difference vegetation index in Alaska's Arctic National Parks | Swanson, David K. | Reflectance | |
| Spatial-temporal distribution of the freezethaw cycle of the largest lake (Qinghai lake) in china based on machine learning and modis from 2000 to 2020 | Han, Weixiao, Huang, Chunlin, Gu, Juan, Hou, Jinliang, Zhang, Ying | Reflectance | |
| Spatial homogeneity from temporal stability: Exploiting the combined hyper-frequent revisit of Terra and Aqua to guide Earth System Science | Duveiller, Gregory, Camps-Valls, Gustau, Ceccherini, Guido, Cescatti, Alessandro | Reflectance | |
| Systematic water fraction estimation for a global and daily surface water time-series | Mayr, Stefan, Klein, Igor, Rutzinger, Martin, Kuenzer, Claudia | Reflectance, Anisotropy, Total Surface Water | |
| Soil moisture estimation using triangular method at higher resolution from MODIS products | Rawat, Kishan Singh, Sehgal, Vinay Kumar, Singh, Sudhir Kumar, Ray, Shibendu S. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Land Surface Temperature, Emissivity | |
| Remote sensing of lake ice phenology in Alaska | Zhang, Shuai, Pavelsky, Tamlin M, Arp, Christopher D, Yang, Xiao | Reflectance | |
| Water and hydropower reservoirs: High temporal resolution time series derived from MODIS data to characterize seasonality and variability | Klein, Igor, Mayr, Stefan, Gessner, Ursula, Hirner, Andreas, Kuenzer, Claudia | Reflectance, Total Surface Water | |
| Utility of copernicus-based inputs for actual evapotranspiration modeling in support of sustainable water use in agriculture | Guzinski, Radoslaw, Nieto, Hector, Sanchez, Juan Manuel, Lopez-Urrea, Ramon, Boujnah, Dalenda Mahjoub, Boulet, Gilles | Land Surface Temperature, Emissivity, Reflectance | |
| Using MODIS-NDVI Time Series to Quantify the Vegetation Responses to | Ablat, Xarapat, Liu, Gaohuan, Liu, Qingsheng, Huang, Chong | Reflectance | |
| Understanding temporary reduction in atmospheric pollution and its impacts on coastal aquatic system during COVID-19 lockdown: a case study of South Asia | Shafeeque, Muhammad, Arshad, Arfan, Elbeltagi, Ahmed, Sarwar, Abid, Pham, Quoc Bao, Khan, Shahbaz Nasir, Dilawar, Adil, Al-Ansari, Nadhir | Reflectance, Nitrogen Dioxide, Heat Flux, Air Temperature, Skin Temperature, Specific Humidity, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Longwave Radiation, Shortwave Radiation, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Temperature, Soil Infiltration, Soil Infiltration, Soil Moisture/Water Content, Surface Soil Moisture, Root Zone Soil Moisture, Soil Moisture/Water Content, Surface Water, Runoff Rate, Average Flow, Average Flow, Precipitation, Snow Depth, Snow Melt, Snow/Ice Temperature, Leaf Area Index (LAI), Leaf Area Index (LAI) | |
| Phenological analysis of sub-alpine forest on Jeju island, south Korea, using data fusion of landsat and MODIS products | Park, Sang-Jin, Jeong, Seung-Gyu, Park, Yong, Kim, Sang-Hyuk, Lee, Dong-Kun, Mo, Yong-Won, Jang, Dong-Seok, Park, Kyung-Min | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| Relationship between MODIS derived NDVI and yield of cereals for selected European countries | Panek, Ewa, Gozdowski, Dariusz | Reflectance | |
| Developing a fused vegetation temperature condition index for drought monitoring at field scales using Sentinel-2 and MODIS imagery | Zhou, Xijia, Wang, Pengxin, Tansey, Kevin, Zhang, Shuyu, Li, Hongmei, Wang, Lei | Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Reflectance, Land Surface Temperature, Emissivity | |
| Effect of the Three Gorges Dam on total suspended sediments from MODIS and Landsat satellite data | Di Trapani, Antonio, Corbari, Chiara, Mancini, Marco | Reflectance | |
| Monitoring the ice phenology of Qinghai lake from 1980 to 2018 using multisource remote sensing data and Google Earth Engine | Qi, Miaomiao, Liu, Shiyin, Yao, Xiaojun, Xie, Fuming, Gao, Yongpeng | Reflectance | |
| Investigation of wildfire impacts on land surface phenology from MODIS time series in the western US forests | Wang, Jianmin, Zhang, Xiaoyang | Reflectance, Land Surface Temperature, Emissivity | |
| Operational large-area land-cover mappingAn Ethiopia case study | Khatami, Reza, Southworth, Jane, Muir, Carly, Caughlin, Trevor, Ayana, Alemayehu N., Brown, Daniel G., Liao, Chuan, Agrawal, Arun | Reflectance | |
| An effective high spatiotemporal resolution NDVI fusion model based on histogram clustering | Xing, Xuegang, Yan, Changzhen, Jia, Yanyan, Jia, Haowei, Lu, Junfeng, Luo, Guangjie | Reflectance | |
| A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data | Lizundia-Loiola, Joshua, Oton, Gonzalo, Ramo, Ruben, Chuvieco, Emilio | Reflectance |