N: 90 S: -90 E: 180 W: -180
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The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MYD13A2) Version 6.1 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
- 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 (MYD13A2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025201), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h01v08), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025217235117), 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 novel active-microwave method to estimate 1 km vegetation optical depth over the Heihe River Basin | Lu, Zhixuan, Fan, Lei, De Lannoy, Gabrielle, Bai, Xiaojing, Liu, Xiangzhuo, Xing, Zanpin, Zhou, Zhilan, Zeng, Jiangyuan, Frappart, Frederic, Peng, Jian, Che, Tao, Geng, Liying, Li, Xiaojun, Li, Xin, Baghdadi, Nicolas, Wigneron, Jean-Pierre | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Assessing the value of high-resolution rainfall and streamflow data for hydrological modeling: an analysis based on 63 catchments in southeast China | Tudaji, Mahmut, Nan, Yi, Tian, Fuqiang | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Assessing the Impact of Vegetated Land Cover on Downscaling Satellite Soil Moisture Products | Pathira Arachchilage, Kalani R. L., Yeo, In-Young, Han, Shin-Chan, Khaki, Mehdi, Senanayake, Indishe P., Walker, Jeffery P., Dahlhaus, Peter G. | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Water Budgets Control the Resilience of Large-Scale Ecological | Xu, Hang, Pang, Jianzhuang, Chen, Jiquan, Wei, Xiaohua, Wu, Xiaoyun, Cao, Wenxu, Yuan, Zeyu, Sun, Ge, Xu, Yang, Zhang, Qin, Zhang, Zhiqiang | Photosynthesis, Primary Production, Vegetation Productivity, Evapotranspiration, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Jaguar (Panthera onca) density and population size across | Alvarenga, Guilherme Costa, Tobler, Mathias W., Boron, Valeria, de Carvalho Jr, Elildo Alves Ribeiro, Morato, Ronaldo Goncalves, Endo, Whaldener, Mendonca, Eloisa Neves, Sampaio, Ricardo, Durigan, Carlos Cesar, Goncalves, Andre Luis Sousa, Ramalho, Emiliano Esterci, Pezzuti, Juarez Carlos Brito, de Paula, Milton Jose, Antunes, Andre Pinassi, Mena, Jose Luis, Dupont, Gates, Spironello, Wilson, Pacheco, Jessica, La Rosa-Camino, Fabiola, Cabrera, Jaime, Montanarin, Anelise, da Costa, Marcelo Oliveira | Photosynthesis, Primary Production, Vegetation Productivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Firestorm in California: The new reality for wildland-urban interface regions | Amiri, Afshin, Gumiere, Silvio, Bonakdari, Hossein | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Exploring global water scarcity dynamics through causal discovery and structural causal modelling | Leijnse, Myrthe, Bierkens, Marc F. P., Wanders, Niko | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Exploring the monthly contribution of drivers on European summer | Li, Hanyu, Vulova, Stenka, Rocha, Alby Duarte, Kleinschmit, Birgit | Land Surface Temperature, Emissivity, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Predicting piezometric levels in the Araripe Sedimentary Basin, Brazil, using regression and machine learning models | Lima, Mirelle T. V., Terra, Fabricio S., Silva, Juliana P. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Near-real-time vegetation monitoring and historical database (1981present) for the Iberian Peninsula and the Balearic Islands | Franquesa, Magi, Reig, Fergus, Arretxea, Manuel, Adell-Michavila, Maria, Halifa-Marin, Amar, Vilas, Daniel, Begueria, Santiago, Vicente-Serrano, Sergio M. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Vegetation Index | |
| Climate Change Is Altering Ecosystem Water Use Efficiency in | Green, Tristan, Salvucci, Guido, Friedl, Mark A. | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Sentinel-1 vegetation optical depth retrievals over the international soil moisture network | Lu, Zhixuan, Fan, Lei, Liu, Xiangzhuo, Bai, Xiaojing, Baghdadi, Nicolas, Frappart, Frederic, Zeng, Jiangyuan, De Lannoy, Gabrielle, Peng, Jian, Xing, Zanpin, Li, Xiaojun, Feng, Zhuangzhuang, Li, Xin, Wigneron, Jean-Pierre | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Surface Soil Moisture | |
| Shifting vegetation phenology in protected areas: A response to climate | Ontel, Irina, Avram, Sorin, Gheorghe, Carmen Adriana, Niculae, Mihaita Iulian, Pascu, Ionut Silviu, Rodino, Steliana | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Characteristics, Photosynthetically Active Radiation | |
| Shifts in avian migration phenologies do not compensate for changes to | Adams, Carrie Ann, Tomaszewska, Monika A., Henebry, Geoffrey M., Horton, Kyle G. | Plant Phenology, Enhanced Vegetation Index (EVI), Vegetation Index, Normalized Difference Vegetation Index (NDVI) | |
| Simulating Complex CO2 Background Conditions for Indianapolis, IN, With a Simple Ecosystem CO2 Flux Model | Murphy, S. L., Davis, K. J., Miles, N. L., Barkley, Z. R., Deng, A., Horne, J. P., Richardson, S. J., Gourdji, S. M. | Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Thrive or Wither: Exploring the Impacts of Multiyear Droughts on | Ruijsch, Denise, van Mourik, Jonna, Biemans, Hester, Hauswirth, Sandra Margrit, Wanders, Niko | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Association of Long-Term Exposure to PM<sub>2.5</sub> Constituents and | He, YiSheng, Xu, YiQing, Cao, Fan, Gao, ZhaoXing, Ge, Man, He, Tian, Zhang, Peng, Zhao, ChanNa, Wang, Peng, Xu, Zhiwei, Pan, HaiFeng | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Australia's Tinderbox Drought: An extreme natural event likely worsened by human-caused climate change | Devanand, Anjana, Falster, Georgina M., Gillett, Zoe E., Hobeichi, Sanaa, Holgate, Chiara M., Jin, Chenhui, Mu, Mengyuan, Parker, Tess, Rifai, Sami W., Rome, Kathleen S., Stojanovic, Milica, Vogel, Elisabeth, Abram, Nerilie J., Abramowitz, Gab, Coats, Sloan, Evans, Jason P., Gallant, Ailie J. E., Pitman, Andy J., Power, Scott B., Rauniyar, Surendra P., Taschetto, Andrea S., Ukkola, Anna M. | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Identification of surface urban heat versus cool islands for arid cities depends on the choice of urban and rural definitions | Liu, Zehong, Ye, Richen, Yang, Qiquan, Hu, Ting, Liu, Yue, Chakraborty, TC, Liao, Zhenxuan | Land Use/Land Cover Classification, Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| geeSEBAL-MODIS: Continental-scale evapotranspiration based on the | Comini de Andrade, Bruno, Laipelt, Leonardo, Fleischmann, Ayan, Huntington, Justin, Morton, Charles, Melton, Forrest, Erickson, Tyler, Roberti, Debora R., de Arruda Souza, Vanessa, Biudes, Marcelo, Gomes Machado, Nadja, Antonio Costa dos Santos, Carlos, Cosio, Eric G., Ruhoff, Anderson | Land Use/Land Cover Classification, Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning | Shetty, Shobitha, Schneider, Philipp, Stebel, Kerstin, David Hamer, Paul, Kylling, Arve, Koren Berntsen, Terje | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Machine learning and global vegetation: random forests for downscaling and gap filling | van Jaarsveld, Barry, Hauswirth, Sandra M., Wanders, Niko | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A dataset of monthly VCI and TCI drought indices at a resolution of 1km in the Yellow River Basin (20032021) | QIAO, Longxin, ZHENG, Zelin, MA, Xiaoyan, ZHANG, Xingwang, RU, Xutong, PENG, Jie, ZHAO, Xiaoyang, XIA, Haoming | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| An Improved Geographically and Temporally Weighted Regression for Surface Ozone Estimation from Satellite-Based Precursor Data | Wang, Xiangkai, Xue, Yong, Sun, Yuxin, Jin, Chunlin, Wu, Shuhui | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Landscape fires disproportionally affect high conservation value temperate peatlands, meadows, and deciduous forests, but only under low moisture conditions | Kirkland, Maire, Atkinson, Philip W., Pearce-Higgins, James W., de Jong, Mark C., Dowling, Thomas P.F., Grummo, Dmitri, Critchley, Megan, Ashton-Butt, Adham | 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 3 | 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 |