N: 90 S: -90 E: 180 W: -180
Description
The MOD13A2 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD13A2 Version 6.1 data product.
The MOD13A2 Version 6 product provides Vegetation Index (VI) values at a per pixel basis at 1 kilometer (km) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value.
Provided along with the vegetation layers and the two quality assurance (QA) layers are reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.
Known Issues
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The following issues have been detected:
- Unexpected missing data in the last cycles of each year.
- Incorrect instances of "NoData" and spikes in NDVI values.
- VI Usefulness Bits are not correctly assigned.
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For instances where the VI Quality (bits 0-1) is flagged as good and the VI Usefulness (bits 2-5) indicates the same pixels have the lowest usefulness score, users are advised to disregard the usefulness score.
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The incorrect representation of the aerosol quantities (low, average, high) in the Collection 6 MOD09 surface reflectance products may have impacted MOD13 Vegetation Index data products particularly over arid bright surfaces.
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Corrections were implemented in Collection 6.1 reprocessing.
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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 (MOD13A2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002257), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h09v09), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151080839), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
DATA PRODUCT SPECIFICATION
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Assessing the performance of LPJmL-5 in simulating vegetation responses to normal and multi-year droughts | Ruijsch, Denise, Hauswirth, Sandra Margrit, Biemans, Hester, Wanders, Niko | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A Hybrid Physics-Guided Machine Learning for Soil Moisture Monitoring and Drought Assessment From CYGNSS in Complex Terrain | Rhadiouini, Charafa El, Jin, Shuanggen, Yeboah, Emmanuel, Sarfo, Isaac, Okrah, Abraham | 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, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Brightness Temperature, Surface Soil Moisture, Radar Cross-Section, Radar Reflectivity | |
| A Time-Explicit Spatiotemporal Modelling Framework for Landslide Susceptibility Driven By Cumulative Precipitation and Runoff Concentration | Pei, Wenjie, Chen, Yonggang, Wang, Hailin, Chen, Benyue | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Insignificant North American autumn phenology trends explained by counteracting climatic drivers | Sun, Xupeng, Lu, Ning, Qin, Jun | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Plant Phenology, Carbon, Cation Exchange Capacity, Organic Matter | |
| Integrating machine learning models to map springshed potential zones using key environmental variables in high-altitude Himalayan terrain | Kadaverugu, Rakesh, Dhole, Asha, Nidheesh, P. V. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Migration routes of three closely related species lead to different non-breeding regions with contrasting environmental conditions | Rime, Yann, Lutgen, Dave, Peter, Aron, Alaei Kakhki, Niloofar, Illa, Marc, Wong, Joanna B., Hauser, Gilles, Pilati, Marco, Andriopoulos, Pavlos, Sjoberg, Sissel, Sandor, Attila D., Burri, Reto | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Climate Change Sensitivity and Regional Differences of the Upper Limit of Montane Deciduous BroadLeaved Forests Across the Northern Hemisphere | Li, Youheng, Han, Fang, Li, Chuanrong, Li, Kun, Li, Xiaoyong, Lv, Yan, Xu, Xiaolong, Zhao, Junxin, Lei, Ziqiang | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global to regional ecozone classifications from multivariate clustering models | Kempf, Michael | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Speciesspecific trends in migratory passage time in Nigeria based on longterm ringing data | Jarrett, Crinan, Helm, Barbara, Barshep, Yahkat, Bitrus, Kwanye Zira, Ishong, Joy Akpanta, Schaub, Michael, Nwaogu, Chima J. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatiotemporal evolution and coupling mechanisms of urbanization and | Xu, Juntao, Ma, Qiwei, Kong, Junqia | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatiotemporal Impacts of Forest Fires on Mountain Vegetation: A Case | Pokhrel, Shiva, Thakuri, Sudeep, Subedi, Chandra Kanta, Kunwar, Ripu Mardan, Sharma, Krishna Prasad, Chaudhary, Ram Prasad, Ghimire, Suresh Kumar | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatiotemporal Patterns of Vegetation Stress and Hydroclimatic Responses in the CWANA Region (20002024) | Ha, Tuyen V., Govind, Ajit, Thi, Nguyen Q., Tran, Khuong H., Hai, Nguyen K., Huy, Nguyen Q. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatiotemporal characteristics of drought in the Southwest Karst Rocky desertification zone, 19922022 | Zhang, Hanqi, Mo, Rongjian, Mo, Yanhua, Li, Rongping, Ma, Jiangming | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| Satellite-driven modelling of NO2 and PM2.5 across Germany (2019-2024): | Miller, Rebecca, Olbrich, Jonas, Manuel, Wierer, Chen, Jia, Wurm, Michael, Alvarez, Cesar Ivan | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Unveiling the ecology and spatial dynamics of Trypanosoma cruzi, its DTUs and Triatoma vitticeps in the Atlantic Forest of south-eastern Espirito Santo State, Brazil | Testai, Raphael, de Oliveira, Felipe, Dario, Maria Augusta, Quinze Dias de Faro de Oliveira, Ane Luise, de Mello, Flavio Luis, Jansen, Ana Maria, Xavier, Samanta Cristina das Chagas | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Water Functional Zoning Framework Based on Machine Learning: A Case | Liu, Wei, Sun, Yuanzhuo, Deng, Fuliang, Wu, Bo, Zhang, Xiaoyan, Sun, Mei, Li, Lanhui, Li, Hui, Yuan, Ying | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Uncertainty Analysis of Gross Primary Production (GPP) Remote-Sensing | Ge, Zhongxi, Qu, Yanda, Teng, Huiqin, Tang, Bo-Hui | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Vegetation greening reduces land surface temperature differences between | Cui, Guishan, Ding, Nengyang, Liu, Duqi, Xu, Zhen | Albedo, Snow Cover, Albedo, Anisotropy, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| Analysis of vegetation cover change trends and mutation detection in stable vegetation type regions of Northeast China from 2001 to 2022 based on BEAST ... | Yang, Cuicui, Zhang, Chao, Shi, Liangshu, Qiu, Chi, Chen, Chang, Li, Shaner, Wang, Beibei, Zhao, Lihua, Bai, Xuechuan, Mandakh, Urtnasan | Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Leaf Characteristics, Photosynthetically Active Radiation, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Assessing and explaining temporal deep learning models for wildfire danger prediction | Becker, Pauline, Natel, Carolina, Nowack, Peer | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Characterizing effects of tree mortality from wildfire and bark beetles | Kunik, Lewis, Bowling, David R., Raczka, Brett, Hicke, Jeffrey A., Frankenberg, Christian, Cheng, Rui, Slaton, Michele R., Lin, John C. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, Vegetation Productivity, Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Reflectance, Anisotropy, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Physically interpretable AlphaEarth foundation model embeddings enable LLM-based land surface intelligence | Rahman, Mashrekur | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Population Density | |
| Rapid increase in thermokarst lakes and their driving factors in the | Ke, Xianmin, Zhang, Jun, Wang, Wei, Ji, Hong, Wang, Dandan, Ren, Wenhao, Niu, Fujun, Gao, Zeyong | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Reconstruction of soil moisture time series with characterisation of | Sinha, Jhilam, Sharma, Ashish, Marshall, Lucy | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Nowhere to hide: Ensemble of Small Models exposes climate vulnerability | Yin, Zi-Wei | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) |
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 |
|---|---|---|---|---|---|---|---|
| 1 km 16 days blue reflectance | Surface Reflectance Band 3 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 1 km 16 days composite day of the year | Day of year VI pixel | Julian day | int16 | -1 | 1 to 366 | N/A | N/A |
| 1 km 16 days EVI | 1 km 16 days EVI | EVI | int16 | -3000 | -2000 to 10000 | 0.0001 | N/A |
| 1 km 16 days MIR reflectance | Surface Reflectance Band 7 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 1 km 16 days NDVI | 1 km 16 days NDVI | NDVI | int16 | -3000 | -2000 to 10000 | 0.0001 | N/A |
| 1 km 16 days NIR reflectance | Surface Reflectance Band 2 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 1 km 16 days pixel reliability | Quality reliability of VI pixel | Rank | int8 | -1 | 0 to 4 | N/A | N/A |
| 1 km 16 days red reflectance | Surface Reflectance Band 1 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 1 km 16 days relative azimuth angle | Relative azimuth angle of VI pixel | Degree | int16 | -4000 | -18000 to 18000 | 0.01 | N/A |
| 1 km 16 days sun zenith angle | Sun zenith angle of VI pixel | Degree | int16 | -10000 | 0 to 18000 | 0.01 | N/A |
| 1 km 16 days view zenith angle | View zenith angle of VI Pixel | Degree | int16 | -10000 | 0 to 18000 | 0.01 | N/A |
| 1 km 16 days VI Quality | VI Quality indicators | Bit Field | uint16 | 65535 | 0 to 65534 | N/A | N/A |