N: 90 S: -90 E: 180 W: -180
Description
The MOD13Q1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD13Q1 Version 6.1 data product.
The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MOD13Q1) Version 6 data are generated every 16 days at 250 meter (m) spatial resolution as a Level 3 product. The MOD13Q1 product provides 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 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.
Along with the vegetation layers and the two quality layers, the HDF file will have MODIS 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.
- 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.
- 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.
- 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 (MOD13Q1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002257), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h08v08), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151081151), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
DATA PRODUCT SPECIFICATION
PRODUCT QUALITY ASSESSMENT
Dataset Resources
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| A framework for food reliability in Zambia | Wang, Junren, Konar, Megan, Xiong, Sitian | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A Costefficient and robust approach to monitor ecosystem photosynthesis using nearinfrared enabled cameras | Syahid, Luri Nurlaila, Luo, Xiangzhong, Zhao, Ruiying, Yu, Liyao, Tan, Li Ming, Detto, Matteo, Sonnentag, Oliver | Reflectance, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Vegetation Cover, Plant Phenology, Plant Characteristics | |
| A 1-km resolution dataset of affordability-constrained accessibility to elderly care facilities in China | Wang, Xiao, Xu, Quanli, Wang, Yu, Wu, Fengzhi | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A High-Resolution Forest Soil Organic Carbon Dataset for China Derived from an Enhanced Quantile Regression Forest Model | Chen, Jizhen, Ou, Yuxing, Fan, Zihao, Zhang, Xin, Xiao, Wenfa, Sun, Qiwu, Sun, Xiangyang, Huang, Zhilin | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Photosynthesis, Primary Production, Vegetation Productivity | |
| A machine learning approach coupling immediate and lagged drivers to predict sand and dust storms in Northern China | Wang, Mile, Yu, Kunxia, Li, Peng, Li, Zhanbin, Yan, Rui, Jiang, Zixia, Li, Xue, Jia, Lu | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| A multi-scale assessment of the effects of runoff/sediment discharge in | Xin, Haoyang, Ma, Ruijie, Xu, Xiaoqin, Li, Zhenwei, Pan, Fengjiao, Duan, Liangxia | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Application of the Maxent model in habitat suitability assessment for Rosalia alpina (Linnaeus, 1758) in Montenegro | Roganovic, Dragan, Vujovic, Filip | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Assessing 21-Years (2000-2020) vegetation dynamics and climatic response | Bongasie, Anteneh, Kim, Tae-Su, Tiwari, Shraddha, Kim, Jun-Young, Dhakal, Thakur, Jang, Gab-Sue | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Adapting to drought: climate change and agricultural resilience in Batken region of Kyrgyzstan | Murzakulova, Asel, Isaev, Erkin, Ermanova, Mariiash | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Analyzing the combined drought index using geospatial technology in the Tigray Region, northern Ethiopia | Tela, Yonas Tesfay, Kipkulei, Harison Kiplagat, Sieber, Stefan | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Advanced stepwise machine learning integration of near-real-time | Liu, Lingxue, Lei, Huajin | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Advancing effective and representative sampling designs for national | Diez-Pastor, Elena, Le, Huong, la Rosa, Jose Armando Alanis-de, Aldrete-Leal, Metzli Ileana, Cuenca-Lara, Rubi Angelica, Medina-Casillas, Sandra Liliana, Park, Taejin, Ramos-Madrigal, Rodrigo, Santacruz-Carrillo, Malinali, Smith, Elizabeth M., Vargas, Rodrigo | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| Alpine Vegetation Under Stress: Drought Impacts on Subtropical Humid HighMountain Plant Communities in East Asia | Kuo, ChuChia, Su, Yu, Liu, HoYih, Lin, ChengTao | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| An Explainable Machine Learning Framework for Flood Damage Mapping Using Remote Sensing and Ground-Based Data: Application to the Basilicata Ionian Coast (Italy) | Dal Sasso, Silvano Fortunato, Rondinone, Marica, Aung, Htay Htay, Telesca, Vito | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| An artificial intelligence model for sand and dust storm forecast driven by AI weather forecasts | Wang, Jikang, Hua, Cong | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A remote sensing framework for mapping agricultural water priority areas and hot spots in northeast Italy | Lippa, Massimiliano N., Tarolli, Paolo | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| Assessing the impact of hurricanes on the carbon cycle using SMAP satellite and in-situ observations: Role of land cover and precipitation | Ray, Ram L., Kumar, Nirmal, Gurau, Sanjita, Raza, Ali, Khan, Nawab, Singh, Sudhir Kumar, Kayode, Esther Tosin, He, Yiping | Respiration Rate, Primary Production, Carbon, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Surface Soil Moisture, Soil Organic Carbon (SOC) | |
| Assessing Ecological Connectivity for Loxodonta africana Across | Trezza, Francesca Romana, Muscolino, Sabrina, Ntumi, Cornelio, Ramoni Perazzi, Paolo, Farcomeni, Alessio, Valgi Macheve, Zaira, Almeida, Joao, Mandinyenya, Bob, Goncalves, Miguel, Pinto D'Ambanguine, Maria, Attorre, Fabio, Guissamulo, Almeida, da Conceicao, Ana Gledis, Mabilana, Hugo, Zaffarano, Gianluca Pio, Malatesta, Luca | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Atmospheric CO2 dynamics in a coastal megacity: spatiotemporal patterns, sealand breeze impacts, and anthropogenicbiogenic emission partitioning | Zhang, Jinwen, Liang, Yongjian, Pei, Chenglei, Huang, Bo, Huang, Yingyan, Lian, Xiufeng, Song, Shaojie, Cheng, Chunlei, Wu, Cheng, Zhou, Zhen, Li, Junjie, Li, Mei | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Association between early life constituent-specific PM2. 5 exposure and child development and the moderating role of greenness: a nationwide study in China | Li, Ruili, Zheng, Xiaoguo, Yang, Huimin, Yin, Delu, Yin, Tao, Wang, Lihong, Chen, Bowen, Zhang, Qingli, Lei, Xiaoning | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Association of PM2. 5, O3 and greenness exposure with risk of cardiometabolic multimorbidity: a prospective cohort study | Gao, Ning, Sheng, Dan, Tang, Shaoyan, Wang, Minzhen, Zheng, Shan | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Associations of outdoor artificial light at night exposure with telomere | Fan, Gaojie, Fang, Qing, Guo, Wenwen, Liu, Binghai, Yan, Lianyan, Li, Jiaoyan, Miao, Wanting, Chen, Rui, Hu, Liqin, Lei, Xiaoning, Wang, Youjie, Wu, Mingyang, Song, Lulu | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Climate-dominated, LUCC-enhanced waterecosystem responses in the humid temperate Tumen River basin | Wang, Haiqing, Su, Mengqi, Qi, Peng, Li, Guangyin, Zou, Yuanchun | 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, Land Use/Land Cover Classification, Terrestrial Water Storage, Ground Water, Glacier Mass Balance/Ice Sheet Mass Balance | |
| Climate-Driven Amplification of Natural Crustal Dust Emission in China: A Quantitative Assessment for Mid-21st Century Scenarios | Song, Lilai, Bi, Xiaohui, Zhang, Yezheng, Dai, Qili, Zhang, Yufen, Song, Shaojie, Wu, Jianhui, Feng, Yinchang | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Climate-Driven Changes in Wildfire Seasonality Across North America | Fan, Fanglu, Tao, Chenliang, Zhang, Yuqiang, Shindell, Drew, Zhang, Hongliang | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) |
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 |
|---|---|---|---|---|---|---|---|
| 250m 16 days blue reflectance | Surface Reflectance Band 3 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 250m 16 days composite day of the year | Day of year VI pixel | Julian day | int16 | -1 | 1 to 366 | N/A | N/A |
| 250m 16 days EVI | 16 day EVI | EVI | int16 | -3000 | -2000 to 10000 | 0.0001 | N/A |
| 250m 16 days MIR reflectance | Surface Reflectance Band 7 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 250m 16 days NDVI | 16 day NDVI | NDVI | int16 | -3000 | -2000 to 10000 | 0.0001 | N/A |
| 250m 16 days NIR reflectance | Surface Reflectance Band 2 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 250m 16 days pixel reliability | Quality reliability of VI pixel | Rank | int8 | -1 | 0 to 3 | N/A | N/A |
| 250m 16 days red reflectance | Surface Reflectance Band 1 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 250m 16 days relative azimuth angle | Relative azimuth angle of VI pixel | Degree | int16 | -4000 | -18000 to 18000 | 0.01 | N/A |
| 250m 16 days sun zenith angle | Sun zenith angle of VI pixel | Degree | int16 | -10000 | 0 to 18000 | 0.01 | N/A |
| 250m 16 days view zenith angle | View zenith angle of VI Pixel | Degree | int16 | -10000 | 0 to 18000 | 0.01 | N/A |
| 250m 16 days VI Quality | VI quality indicators | Bit Field | uint16 | 65535 | 0 to 65534 | N/A | N/A |