N: 90 S: -90 E: 180 W: -180
Description
The MYD13C1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MYD13C1 Version 6.1 data product.
The MYD13C1 Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. 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 Climate Modeling Grid (CMG) consists 3,600 rows and 7,200 columns of 5,600 meter (m) pixels. Global MYD13C1 data are cloud-free spatial composites of the gridded 16-day 1 kilometer MYD13A2 data, and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MYD13C1 has data fields for NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution.
Known Issues
- The incorrect representation of the aerosol quantities (low, average, high) in the Collection 6 MYD09 surface reflectance products may have impacted MYD13 Vegetation Index data products particularly over arid bright surfaces.
- 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 (MYD13C1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002265), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151155950), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Dataset Resources
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| A global daily seamless 9 km vegetation optical depth (VOD) product from 2010 to 2021 | Hu, Die, Wang, Yuan, Jing, Han, Yue, Linwei, Zhang, Qiang, Fan, Lei, Yuan, Qiangqiang, Shen, Huanfeng, Zhang, Liangpei | 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), Land Use/Land Cover Classification | |
| Observational study on the relationship of albedo with vegetation water content and canopy development in tropical and temperate forests of China | Hailemariam, Mengsteab, Li, Rui, Wang, Yipu | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Dogs of War: The Effect of War-Inflicted Environmental Damage on | Martsiv, Mariia, Dykyy, Ihor, Witek, Magorzata, Chibowski, Piotr, Cimarelli, Giulia, Moura, Andre E., Pilot, Magorzata | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| High-resolution maximum air temperature estimation over India from MODIS data using machine learning | Joy, Amal, Satheesan, K., Paul, Avinash | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Can real-time NDVI observations better constrain SMAP soil moisture | Feng, Sijia, Gao, Lun, Qiu, Jianxiu, Liu, Xiaoping, Crow, Wade T., Zhao, Tianjie, Tan, Chao, Wang, Shaohua, Wigneron, Jean-Pierre | Normalized Difference Vegetation Index (NDVI), Plant Phenology, Enhanced Vegetation Index (EVI), Vegetation Index, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Spatio-Temporal reconstruction to fill spatial gaps in global satellite | Wang, Hui, Wei, Zushuai, Miao, Linguang, Tian, Feng, Zhao, Tianjie, Hu, Lu, Meng, Lingkui | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Near-real time analysis of war and economic activity during Russia's invasion of Ukraine | Zhukov, Yuri M. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Evaluation and uncertainty analysis of Himawari-8 hourly aerosol product version 3.1 and its influence on surface solar radiation before and during the COVID-19 ... | Tang, Chenqian, Shi, Chong, Letu, Husi, Ma, Run, Yoshida, Mayumi, Kikuchi, Maki, Xu, Jian, Li, Nan, Zhao, Mengjie, Chen, Liangfu, Shi, Guangyu | Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Reflectance, Transmittance, Atmospheric Stability, Humidity, Total Precipitable Water, Water Vapor Profiles, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms, Atmospheric Ozone | |
| Evaluation of evapotranspiration estimation under cloud impacts over | Wang, Yipu, Li, Rui, Hu, Jiheng, Fu, Yuyun, Duan, Jiawei, Cheng, Yuanxi, Song, Binbin | Land Use/Land Cover Classification, Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Satelliteobserved vegetation responses to intraseasonal precipitation variability | Harris, Bethan L., Taylor, Christopher M., Weedon, Graham P., Talib, Joshua, Dorigo, Wouter, van der Schalie, Robin | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Forest Canopy Changes in the Southern Amazon during the 2019 Fire Season | Zhang, Huixian, Hagan, Daniel Fiifi Tawia, Dalagnol, Ricardo, Liu, Yi | Reflectance, Snow Grain Size, Snow Cover, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Land Use/Land Cover Classification, Burned Area | |
| Daily estimation of gross primary production under all sky using a light | Wang, Yipu, Li, Rui, Hu, Jiheng, Fu, Yuyun, Duan, Jiawei, Cheng, Yuanxi | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Remote sensing of global daily evapotranspiration based on a surface energy balance method and reanalysis data | Chen, Xuelong, Su, Zhongbo, Ma, Yaoming, Trigo, Isabel, Gentine, Pierre | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Emissivity, Land Surface Temperature | |
| A new space-borne perspective of crop productivity variations over the US Corn Belt | Somkuti, Peter, Bosch, Hartmut, Feng, Liang, Palmer, Paul I., Parker, Robert J., Quaife, Tristan | Emissivity, Land Surface Temperature, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Downscaling of SMAP Soil Moisture in the Lower Mekong River Basin | Dandridge, Chelsea, Fang, Bin, Lakshmi, Venkat | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Estimating Land Surface Temperature from Satellite Passive Microwave Observations with the Traditional Neural Network, Deep Belief Network, and Convolutional Neural Network | Wang, Shaofei, Zhou, Ji, Lei, Tianjie, Wu, Hua, Zhang, Xiaodong, Ma, Jin, Zhong, Hailing | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Estimation of vegetation latent heat flux over three forest sites in ChinaFLUX using satellite microwave vegetation water content index | Wang, Yipu, Li, Rui, Min, Qilong, Zhang, Leiming, Yu, Guirui, Bergeron, Yves | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Retrieving soil moisture over continental us via multi-view multi-task learning | Ge, Lingling, Hang, Renlong, Liu, Qingshan | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Comparing the performance of neural network and deep convolutional neural network in estimating soil moisture from satellite observations | Ge, Lingling, Hang, Renlong, Liu, Yi, Liu, Qingshan | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Assessing the dynamics of vegetation productivity in circumpolar regions with different satellite indicators of greenness and photosynthesis | Walther, Sophia, Guanter, Luis, Heim, Birgit, Jung, Martin, Duveiller, Gregory, Wolanin, Aleksandra, Sachs, Torsten | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Albedo, Anisotropy, Reflectance | |
| SMAP soil moisture improves global evapotranspiration | Purdy, Adam J., Fisher, Joshua B., Goulden, Michael L., Colliander, Andreas, Halverson, Gregory, Tu, Kevin, Famiglietti, James S. | 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, Surface Pressure, Surface Winds, Geopotential Height, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatially downscaling sun-induced chlorophyll fluorescence leads to an improved temporal correlation with gross primary productivity | Duveiller, Gregory, Cescatti, Alessandro | Emissivity, Land Surface Temperature, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Evapotranspiration, Latent Heat Flux |
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 |
|---|---|---|---|---|---|---|---|
| C194001220-LPDAAC_ECS | Number of 1 km input pixels used | Number | uint8 | 255 | 0 to 36 | N/A | N/A |
| CMG 0.05 Deg 16 days Avg sun zen angle | View zenith angle of VI Pixel | Degree | int16 | -10000 | -9000 to 9000 | 0.01 | N/A |
| CMG 0.05 Deg 16 days blue reflectance | Surface Reflectance Band 3 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| CMG 0.05 Deg 16 days EVI | 16 day EVI | EVI | int16 | -3000 | -2000 to 10000 | 0.0001 | N/A |
| CMG 0.05 Deg 16 days EVI std dev | Standard deviation computed from input EVI pixels | EVI | int16 | -3000 | 0 to 10000 | 0.0001 | N/A |
| CMG 0.05 Deg 16 days MIR reflectance | Surface Reflectance Band 7 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| CMG 0.05 Deg 16 days NDVI | 16 day NDVI | NDVI | int16 | -3000 | -2000 to 10000 | 0.0001 | N/A |
| CMG 0.05 Deg 16 days NDVI std dev | Standard deviation computed from input NDVI pixels | NDVI | int16 | -3000 | 0 to 10000 | 0.0001 | N/A |
| CMG 0.05 Deg 16 days NIR reflectance | Surface Reflectance Band 2 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| CMG 0.05 Deg 16 days number of 1km pix +-30deg VZ | Number of 1km pixels used with VZ angle less than + or - 30 degs | Number | uint8 | 255 | 0 to 36 | N/A | N/A |
| CMG 0.05 Deg 16 days pixel reliabilty | Quality reliability of VI pixel | Rank | int8 | -1 | 0 to 4 | N/A | N/A |
| CMG 0.05 Deg 16 days red reflectance | Surface Reflectance Band 1 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| CMG 0.05 Deg 16 days VI Quality | VI quality indicators | Bit Field | uint16 | 65535 | 0 to 65534 | N/A | N/A |