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Description

The MOD09A1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD09A1 Version 6.1 data product.

The Moderate Resolution Imaging Spectroradiometer (MODIS) Terra MOD09A1 Version 6 product provides an estimate of the surface spectral reflectance of Terra MODIS Bands 1 through 7 corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven 500 meter (m) reflectance bands are two quality layers and four observation bands. 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

The following changes and improvements were implemented for inputs to MODIS Version 6 terra surface reflectance data products: (1) Improvements to the aerosol retrieval and correction algorithm along with new aerosol retrieval look-up tables, (2) Refinements to the internal snow, cloud, and cloud shadow detection algorithms. Uses Bidirectional Reflectance Distribution Function (BRDF) database to better constrain the different threshold used, (3) Processes ocean bands to create a new Surface Reflectance Ocean product and provides Quality Assurance (QA) datasets for these bands, and (4) Improved discrimination of salt pans from cloud and snow, along with the inclusion of a salt pan flag in the QA band.

Product Summary

Platforms
Terra
Instruments
MODIS
Projects
TERRA
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
500 Meters x 500 Meters
Spatial Reference System(s)
MODIS Sinusoidal Tiling System
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2000-02-24 to 2023-02-17
Temporal Resolution
8 Day
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC) ,
MODIS Adaptive Processing System, Terrestrial Information Systems Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/MODAPS)
Concept ID
C2763297170-LPCLOUD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
3
Published
Updated
Science Keywords
Reflectance

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.

Copy Citation

Vermote, E. (2015). MOD09A1 MODIS/Terra Surface Reflectance 8-Day L3 Global 500m SIN Grid V006 [Dataset]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD09A1.006 Date Accessed: 2026-07-04

File Naming Convention

MOD09A1.A2002273.h29v03.006.2015151111637.hdf

The file name begins with the Product Short Name (MOD09A1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002273), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h29v03), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151111637), and the Data Format (hdf).

Documents

USER'S GUIDE

ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)

DATA PRODUCT SPECIFICATION

PRODUCT QUALITY ASSESSMENT

SCIENCE DATA PRODUCT VALIDATION

SHOWING 3 OF 3

Publications Citing This Dataset

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Title Year Author Topic
A MODIS-based scalable remote sensing method to estimate sowing and harvest dates of soybean crops in Mato Grosso, Brazil Zhang, Minghui, Abrahao, Gabriel, Cohn, Avery, Campolo, Jake, Thompson, Sally Reflectance
A dataset of remote-sensed Forel-Ule Index for global inland waters during 20002018 Wang, Shenglei, Li, Junsheng, Zhang, Wenzhi, Cao, Chang, Zhang, Fangfang, Shen, Qian, Zhang, Xianfeng, Zhang, Bing Reflectance
Assessing variability of optimum air temperature for photosynthesis across site-years, sites and biomes and their effects on photosynthesis estimation Chang, Qing, Xiao, Xiangming, Doughty, Russell, Wu, Xiaocui, Jiao, Wenzhe, Qin, Yuanwei Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Reflectance
Assessment of inundation area and water level of the tonle sap lake using multi-source remote sensing data between 2008 and 2018 YAN, Y., HUANG, Y.Y., ZHAO, Y.J., TONG, K., LIANG, Y.L. Reflectance
Assessment of k-Nearest Neighbor and Random Forest Classifiers for Pacheco, Admilson da Penha, Junior, Juarez Antonio da Silva, Ruiz-Armenteros, Antonio Miguel, Henriques, Renato Filipe Faria Reflectance, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance
Assessment of vegetation phenological extractions derived from three satellite-derived vegetation indices based on different extraction algorithms over the Tibetan Plateau An, Chunchun, Dong, Zhi, Li, Hongli, Zhao, Wentai, Chen, Hailiang Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
Assessment of spatio-temporal variation and driving mechanism of ecological environment quality in the Arid regions of central asia, Xinjiang Bi, Xu, Chang, Bianrong, Hou, Fen, Yang, Zihan, Fu, Qi, Li, Bo Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Reflectance, Photosynthesis, Primary Production, Vegetation Productivity
Assessment of the sasi spectral shape index time series for mapping rice ecosystems in the mediterranean region Tornos, Lucia, Dominguez, Jose Antonio, Moyano, Maria C., Recuero, Laura, Cicuendez, Victor, Garcia-Garcia, Maria Jesus, Palacios-Orueta, Alicia Reflectance
Assessing the effects of time interpolation of NDVI composites on phenology trend estimation Li, Xueying, Zhu, Wenquan, Xie, Zhiying, Zhan, Pei, Huang, Xin, Sun, Lixin, Duan, Zheng Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
Assessing forest phenology: A multi-scale comparison of near-surface (UAV, spectral reflectance sensor, phenocam) and satellite (MODIS, sentinel-2) remote sensing Thapa, Shangharsha, Garcia Millan, Virginia E., Eklundh, Lars Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance
Article spatiotemporal monitoring of soil co2 efflux in a subtropical forest during the dry season based on field observations and remote sensing imagery Chen, Tao, Xu, Zhenwu, Tang, Guoping, Chen, Xiaohua, Fang, Hong, Guo, Hao, Yuan, Ye, Zheng, Guoxiong, Jiang, Liangliang, Niu, Xiangyu Reflectance
Analysis of asymmetry in diurnal warming and its impact on vegetation phenology in the Qinghai-Tibetan Plateau using MODIS remote sensing data Du, Qingjiang, Yi, Guihua, Zhou, Xiaobing, Zhang, Tingbin, Li, Jingji, Xie, Huijun, Hu, Jiao Reflectance
Analysis of Factors Influencing the Lake Area on the Tibetan Plateau Xiong, Zhexin, Chen, Yumin, Tan, Huangyuan, Cheng, Qishan, Zhou, Annan Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), 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
An improved method for retrieving aerosol optical depth using gaofen1 wfv camera data Yang, Fukun, Fan, Meng, Tao, Jinhua Reflectance
An improved method for soil moisture monitoring with ensemble learning methods over the Tibetan Plateau He, Lei, Cheng, Yuan, Li, Yuxia, Li, Fan, Fan, Kunlong, Li, Yuzhen Reflectance, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Land Surface Temperature, Emissivity
An automated and optimized geo-computation approach for spatial fire risk modelling using geo-web service orchestration Pandey, Kamal, Karnatak, Harish C., Gairola, Asha Ram, Bhandari, Ravi, Roy, Arijit Reflectance, Land Surface Temperature, Emissivity
An Automatic and Operational Method for Land Cover Change Detection Ituen, Ima, Hu, Baoxin Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Land Surface Temperature, Emissivity
Changes in surface water drive the movements of Shoebills Acacio, Marta, Mullers, Ralf H. E., Franco, Aldina M. A., Willems, Frank J., Amar, Arjun Reflectance
Can vegetation index track the interannual variation in gross primary production of temperate deciduous forests? Liu, Fan, Wang, Chuankuan, Wang, Xingchang Reflectance, Anisotropy
Comparison of machine learning methods to up-scale gross primary production Yu, Tao, Zhang, Qiang, Sun, Rui Reflectance
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
FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands Delwiche, Kyle B., Knox, Sara Helen, Malhotra, Avni, Fluet-Chouinard, Etienne, McNicol, Gavin, Feron, Sarah, Ouyang, Zutao, Papale, Dario, Trotta, Carlo, Canfora, Eleonora, Cheah, You-Wei, Christianson, Danielle, Alberto, Ma. Carmelita R., Alekseychik, Pavel, Aurela, Mika, Baldocchi, Dennis, Bansal, Sheel, Billesbach, David P., Bohrer, Gil, Bracho, Rosvel, Buchmann, Nina, Campbell, David I., Celis, Gerardo, Chen, Jiquan, Chen, Weinan, Chu, Housen, Dalmagro, Higo J., Dengel, Sigrid, Desai, Ankur R., Detto, Matteo, Dolman, Han, Eichelmann, Elke, Euskirchen, Eugenie, Famulari, Daniela, Fuchs, Kathrin, Goeckede, Mathias, Gogo, Sebastien, Gondwe, Mangaliso J., Goodrich, Jordan P., Gottschalk, Pia, Graham, Scott L., Heimann, Martin, Helbig, Manuel, Helfter, Carole, Hemes, Kyle S., Hirano, Takashi, Hollinger, David, Hortnagl, Lukas, Iwata, Hiroki, Jacotot, Adrien, Jurasinski, Gerald, Kang, Minseok, Kasak, Kuno, King, John, Klatt, Janina, Koebsch, Franziska, Krauss, Ken W., Lai, Derrick Y. F., Lohila, Annalea, Mammarella, Ivan, Belelli Marchesini, Luca, Manca, Giovanni, Matthes, Jaclyn Hatala, Maximov, Trofim, Merbold, Lutz, Mitra, Bhaskar, Morin, Timothy H., Nemitz, Eiko, Nilsson, Mats B., Niu, Shuli, Oechel, Walter C., Oikawa, Patricia Y., Ono, Keisuke, Peichl, Matthias, Peltola, Olli, Reba, Michele L., Richardson, Andrew D., Riley, William, Runkle, Benjamin R. K., Ryu, Youngryel, Sachs, Torsten, Sakabe, Ayaka, Sanchez, Camilo Rey, Schuur, Edward A., Schafer, Karina V. R., Sonnentag, Oliver, Sparks, Jed P., Stuart-Haentjens, Ellen, Sturtevant, Cove, Sullivan, Ryan C., Szutu, Daphne J., Thom, Jonathan E., Torn, Margaret S., Tuittila, Eeva-Stiina, Turner, Jessica, Ueyama, Masahito, Valach, Alex C., Vargas, Rodrigo, Varlagin, Andrej, Vazquez-Lule, Alma, Verfaillie, Joseph G., Vesala, Timo, Vourlitis, George L., Ward, Eric J., Wille, Christian, Wohlfahrt, Georg, Wong, Guan Xhuan, Zhang, Zhen, Zona, Donatella, Windham-Myers, Lisamarie, Poulter, Benjamin, Jackson, Robert B. Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
Forecasting fire risk with machine learning and dynamic information derived from satellite vegetation index time-series Michael, Yaron, Helman, David, Glickman, Oren, Gabay, David, Brenner, Steve, Lensky, Itamar M. Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance
Flood assessment using multi-temporal remotely sensed data in Cambodia Son, Nguyen-Thanh, Chen, Chi-Farn, Chen, Cheng-Ru Reflectance
Finer-scale spatiotemporal coupling coordination model between socioeconomic activity and eco-environmentA case study of Beijing, China Cai, Bowen, Shao, Zhenfeng, Fang, Shenghui, Huang, Xiao, Huq, Md. Enamul, Tang, Yun, Li, Yong, Zhuang, Qingwei Reflectance, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
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