N: 90 S: -90 E: 180 W: -180
Description
The MOD13A3 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD13A3 Version 6.1 data product.
The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MOD13A3) Version 6 data are provided monthly at 1 kilometer (km) spatial resolution as a gridded Level 3 product in the sinusoidal projection. In generating this monthly product, the algorithm ingests all the MOD13A2 products that overlap the month and employs a weighted temporal average.
The MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products and provides continuity for time series historical applications. MODIS also includes an Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin clouds. The MODIS NDVI and EVI products are computed from surface reflectances corrected for molecular scattering, ozone absorption, and aerosols.
Vegetation indices are used for global monitoring of vegetation conditions and are used in products displaying land cover and land cover changes. These data may be used as input for modeling global biogeochemical and hydrologic processes as well as global and regional climate. Additional applications include characterizing land surface biophysical properties and processes, such as primary production and land cover conversion.
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 three observation layers.
Known Issues
- 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 (MOD13A3) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002244), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h00v10), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151082733), 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 global mountain long-term monthly mean air temperature dataset from priority-based weighted fusion of multi-source 1-km satellite LST products and in-situ observations | Zhao, Wei, Zhao, Junli, Xie, Xinyao, Wang, Yong, Yin, Gaofei, Yang, Yanqing, Wu, Jiujiang | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A Multi-City Assessment of Genomic Evolution in the Native Wildflower Impatiens capensis | Rivkin, L. Ruth, Garroway, Colin J., Johnson, Marc T. J. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A Multi-Source Geospatial Framework for the Evaluation of Urban Flood Resilience Under Extreme Rainfall: Evidence from Chongqing, China | Yang, Tao, Yun, Yingxia, Tang, Fengliang, Zheng, Xiaolei | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Analyzing the impact of urban morphology on urban land surface temperature from the perspective of spatial configuration and explainable machine learning: A case study of seven cities | Wan, Bo, Shen, Ningjie, Zhang, Haijian, Sheng, Qiang | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Application of Various Statistical Indicators for Drought Analysis Based on Remote Sensing Data: A Case Study of Three Major Provinces of Turkey | KAYA, Yunus Ziya | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Advancing Urban Carbon Emission Downscaling to 1 km Resolution: A Deep LearningBased SocioEconomicEnvironmental ( SEE ) Framework |
Shen, Zehao, Feng, Yuning, Fraedrich, Klaus, Du, Mingyi | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| An Interpretable Index-Based Analysis and Scenario-Based Spatial Simulation of Vegetation Drought in the Yellow River Water Conservation Area | Li, Rong, Zhu, Rui, Yin, Zhenliang, Li, Tong, Li, Mengwei, Zhou, Ganlin | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| An improved global database and model of plant available soil phosphorus | McDowell, Richard W., Noble, Alasdair D. L., Doscher, Crile, Helfenstein, Julian | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| Assessing plague risk across seven decades of environmental change in Inner Mongolia, China: An interpretable machine learning | Wang, Xiaoxu, Shang, Meng, Zhao, Chunchun, Sun, Yelin, Feng, Lianfang, Xia, Lianxu, Liu, Qiyong | 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 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 between greenness change and mental distress prevalence change by housing tenure: An analysis of 109 U.S. metropolitan areas | Prasanth, Saira, Warren, Joshua L., Carrion, Daniel, Gonsalves, Gregg, Keene, Danya E. | 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) | |
| Assessing the resilience of regional water resource systems: A case of the Hexi inland river basins, China | Zheng, Zhihan, Su, Bo, Wang-Erlandsson, Lan, Chen, Deliang, Yang, Liang Emlyn, Ai, Mei, Xiao, Cunde | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Hybrid governance pathways driving western China's sustainable grassland transformation | Wang, Yue, Yang, Yongchun, Zhang, Wei | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Mapping the global development likelihood of wastewater treatment plants using a novel positive-unlabeled deep neural network | Li, Wenkai, Liu, Hongliang, Li, Mingxuan | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| Mapping the global potential of onshore field-scale solar PV using positive-unlabeled deep learning | Li, Wenkai, Liu, Hongliang, Hu, Xiaomei, Lu, Xingcheng, Tao, Shengli, Ma, Qin, Yang, Haitao, Liu, Yuanchi, Li, Mingxuan, Li, Tianhong, Guo, Qinghua | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Mapping the local effectiveness of mass drug administration for malaria using transportability methods | Roh, Michelle E., Tong, Yanwei, Heitmann, Gabriella Barratt, Jia, Junran, Ba, El-hadji Konko Cire, Ndiaye, Jean Louis, Fogelson, Ari, Milligan, Paul, Seck, Amadou, Diallo, Abdoulaye, Lo, Aminata Colle, Baiocchi, Michael, Gosling, Roly, Bennett, Adam, Hsiang, Michelle S., Benjamin-Chung, Jade | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Emissivity, Land Surface Temperature | |
| Integrating remotesensing and meteorological data to identify key drivers of the potential distribution of a grassland grasshopper | Bobo, Du, Haibin, Han, Fangzheng, Yue, Haihua, Bai, Shujing, Gao, Yuhai, Bao | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Mapping critical thresholds and dynamic drivers of net primary productivity response to shrub encroachment in Xilin Gol grasslands using multi-source remote ... | Wang, Xi, Lyu, Xiaoqing, Liu, Jianhong, Zhu, Wenquan, Jia, Ruolan, Wang, Ziqi, Wang, Jing, Li, Wei, Liu, Nan, He, Yanfen | Photosynthesis, Primary Production, Vegetation Productivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Land Surface Temperature Shows Negligible Difference Between Inside and | Duan, Chunhui, Han, Cunbo, Hu, Wei, Liu, Jiawei, Ma, Yaoming | Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Integrating causal inference and machine learning to quantify climate-malaria relationships: Evidence of temperature and rainfall thresholds from Colombian municipalities | Gutierrez, Juan David | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Informing African agricultural health: integrating human population dynamics and climate change into banana bunchy top disease risk assessment | Blomme, Guy, Hufkens, Koen, Ocimati, Walter, Kearsley, Elizabeth | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Impacts of Climate Change and Human Activities on Global Mountain Grasslands: Insights Into the Last Two Decades and Future Climate Scenarios | Na, Mulun, Zuecco, Giulia, Tarolli, Paolo | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Influence of Artificial Oasis on Evolution Trend of Sandstorm in Tarim Basin and Policy Countermeasures from 2000 to 2022 | Zhang, Xiaodong, Qiu, Zhi | 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 monthly blue reflectance | Surface Reflectance Band 3 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 1 km monthly EVI | 1 km monthly EVI | EVI | int16 | -3000 | -2000 to 10000 | 0.0001 | N/A |
| 1 km monthly MIR reflectance | Surface Reflectance Band 7 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 1 km monthly NDVI | 1 km monthly NDVI | NDVI | int16 | -3000 | -2000 to 10000 | 0.0001 | N/A |
| 1 km monthly NIR reflectance | Surface Reflectance Band 2 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 1 km monthly pixel reliability | Quality reliability of VI pixel | Rank | int8 | -1 | 0 to 3 | N/A | N/A |
| 1 km monthly red reflectance | Surface Reflectance Band 1 | N/A | int16 | -1000 | 0 to 10000 | 0.0001 | N/A |
| 1 km monthly relative azimuth angle | Relative azimuth angle of VI pixel | Degree | int16 | -4000 | -18000 to 18000 | 0.01 | N/A |
| 1 km monthly sun zenith angle | Sun zenith angle of VI pixel | Degree | int16 | -10000 | 0 to 18000 | 0.01 | N/A |
| 1 km monthly view zenith angle | View zenith angle of VI Pixel | Degree | int16 | -10000 | 0 to 18000 | 0.01 | N/A |
| 1 km monthly VI Quality | VI Quality indicators | Bit Field | uint16 | 65535 | 0 to 65534 | N/A | N/A |