N: 90 S: -90 E: 180 W: -180
Description
The MYD13A2 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MYD13A2 Version 6.1 data product.
The MYD13A2 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 MYD09 surface reflectance products may have impacted MYD13 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 (MYD13A2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002265), 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 (2015151111500), 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 |
|---|---|---|---|
| SCATSAT-1 backscattering coefficient over distinct land surfaces and its dependence on soil moisture and vegetation dynamics | Mishra, Manoj Kumar, Mathew, Nizy, Renju, R | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Time series analysis of land surface temperature and drivers of urban heat island effect based on remotely sensed data to develop a prediction model | Khalil, Umer, Aslam, Bilal, Azam, Umar, Khalid, Hafiz Muhammad Daniyal | Land Use/Land Cover Classification, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Very high spatial resolution downscaled SMAP radiometer soil moisture in the CONUS using VIIRS/MODIS data | Fang, Bin, Lakshmi, Venkat, Cosh, Michael, Hain, Christopher | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Trends of the contributions of biophysical (climate) and socioeconomic elements to regional heat islands | Chen, Shengzi, Yu, Zhaowu, Liu, Min, Da, Liangjun, Faiz ul Hassan, Muhammad | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Reflectance, Albedo, Anisotropy | |
| Disaggregating satellite soil moisture products based on soil thermal inertia: A comparison of a downscaling model built at two spatial scales | Senanayake, I.P., Yeo, I.-Y., Willgoose, G.R., Hancock, G.R. | Land Surface Temperature, Emissivity, 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, Snow Water Equivalent, Runoff, Brightness Temperature | |
| Enhanced estimation of root zone soil moisture at 1 km resolution using SMAR model and MODIS-based downscaled AMSR2 soil moisture data | Farokhi, Maedeh, Faridani, Farid, Lasaponara, Rosa, Ansari, Hossein, Faridhosseini, Alireza | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Land Surface Temperature, Emissivity | |
| A tale of two citiesThe influence of urban meteorological network design on the nocturnal surface versus canopy heat island relationship in Oklahoma City,OK,and Birmingham,UK | Feng, JiaLi, Cai, XiaoMing, Chapman, Lee | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Land Use/Land Cover Classification | |
| A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering | Xu, Shuo, Cheng, Jie | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A random forest-based data fusion method for obtaining all-weather land surface temperature with high spatial resolution | Xu, Shuo, Cheng, Jie, Zhang, Quan | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A practical remote sensing monitoring framework for late frost damage in wine grapes using multi-source satellite data | Li, Wenjie, Huang, Jingfeng, Yang, Lingbo, Chen, Yan, Fang, Yahua, Jin, Hongwei, Sun, Han, Huang, Ran | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Comparative evaluation of drought indices for monitoring drought based on remote sensing data | Wei, Wei, Zhang, Jing, Zhou, Liang, Xie, Binbin, Zhou, Junju, Li, Chuanhua | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Total Surface Precipitation Rate | |
| Fusion of All-Weather Land Surface Temperature From AMSR-E and MODIS Data Using Random Forest Regression | Zhang, Quan, Cheng, Jie, Wang, Ninglian | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Estimation of pixel-level seismic vulnerability of the building environment based on mid-resolution optical remote sensing images | Fan, Xiwei, Nie, Gaozhong, Xia, Chaoxu, Zhou, Junxue | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy | |
| Estimation of spatially continuous near-surface relative humidity over Japan and South Korea | Park, Haemi, Lee, Junghee, Yoo, Cheolhee, Sim, Seongmun, Im, Jungho | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Evapotranspiration, Latent Heat Flux | |
| Estimating catchment scale soil moisture at a high spatial resolution: Integrating remote sensing and machine learning | Senanayake, I.P., Yeo, I.-Y., Walker, J.P., Willgoose, G.R. | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Estimation of hourly full-coverage PM2.5 concentrations at 1-km resolution in China using a two-stage random forest model | Jiang, Tingting, Chen, Bin, Nie, Zhen, Ren, Zhehao, Xu, Bing, Tang, Shihao | Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global dust optical depth climatology derived from CALIOP and MODIS | Song, Qianqian, Zhang, Zhibo, Yu, Hongbin, Ginoux, Paul, Shen, Jerry | 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, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Generation of spatio-temporally continuous evapotranspiration and its components by coupling a two-source energy balance model and a deep neural network over the Heihe River Basin | Cui, Yaokui, Song, Lisheng, Fan, Wenjie | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, 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), Albedo, Anisotropy, Reflectance | |
| Yield forecasting with machine learning and small dataWhat gains for grains? | Meroni, Michele, Waldner, Francois, Seguini, Lorenzo, Kerdiles, Herve, Rembold, Felix | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Mapping high temperature damaged area of paddy rice along the Yangtze River using Moderate Resolution Imaging Spectroradiometer data | Dou, Yujie, Huang, Ran, Mansaray, Lamin R., Huang, Jingfeng | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Reflectance, Land Use/Land Cover Classification | |
| Retrieval of soil moisture by integrating Sentinel-1A and MODIS data over agricultural fields | Han, Yizhi, Bai, Xiaojing, Shao, Wei, Wang, Jie | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Response of Natural Vegetation to Climate in Dryland Ecosystems: A | Zhang, Fang, Wang, Chenghao, Wang, Zhi-Hua | 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 | 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, Surface Soil Moisture, Precipitation, Precipitation Amount, Emissivity | |
| Downscaling satellite retrieved soil moisture using regression tree-based machine learning algorithms over southwest France | Liu, Yangxiaoyue, Xia, Xiaolin, Yao, Ling, Jing, Wenlong, Zhou, Chenghu, Huang, Wumeng, Li, Yong, Yang, Ji | Evapotranspiration, Latent Heat Flux, Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| An artificial intelligence approach to predict gross primary productivity in the forests of South Korea using satellite remote sensing data | Lee, Bora, Kim, Nari, Kim, Eun-Sook, Jang, Keunchang, Kang, Minseok, Lim, Jong-Hwan, Cho, Jaeil, Lee, Yangwon | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, Vegetation Productivity |