N: 90 S: -90 E: 180 W: -180
Description
The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MOD13C1) Version 6.1 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 MOD13C1 data are cloud-free spatial composites of the gridded 16-day 1 kilometer MOD13A2 data, and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MOD13C1 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
- 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 (MOD13C1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025193), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025212174201), 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 |
|---|---|---|---|
| Learning feature representations with recurrent neural networks for the Earth Sciences | Campos-Taberner, Manuel, Mateo-Sanchis, Anna, Adsuara, Jose E., Martinez, Beatriz, Rhif, Manel, Ben Abbes, Ali, Piles, Maria, Perez-Suay, Adrian, Garcia-Haro, Francisco Javier, Gilabert, M.A. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global daily 9 km remotely sensed soil moisture (20152025) with microwave radiative transfer-guided learning | Feng, Sijia, Li, Aoyang, Zhou, Rui, Butterbach-Bahl, Klaus, Guan, Kaiyu, Jin, Zhenong, Looms, Majken C., Wang, Sherrie, Igel, Christian, Treat, Claire, Olesen, Jrgen Eivind, Wang, Sheng | Brightness Temperature, Surface Soil Moisture, Air Temperature, Soil Moisture/Water Content, Soil Temperature, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Heterogeneity, Productivity, and Migration Drive Continental Evenness | Gilbert, Neil A., Queally, Natalie, Cooper, Jacob C., Eyster, Harold N., Williams, Peter J. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Synergistic importance of memory and spatial neighbourhood effects in | Liu, Jian, Zhou, Tao, Zeng, Jingyu, Zhang, Jingzhou, Wu, Xuemei, Zhang, Yajie, Zhang, Qi, Qu, Yancheng, Liu, Peixia, Zhang, Wenjuan, Tan, E, Yu, Ying, Cao, Li | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatial distribution of and socio-ecological risk factors for | Wagnew, Fasil, Shield, Jennifer, Birtles, Suzy J., Alene, Kefyalew Addis, Gordon, Catherine, Bradbury, Richard, Muhi, Stephen, Fernando, Deepani D., Mationg, Mary Lorraine, Page, Wendy, Mahanty, Siddhartha, Rossingh, Bronwyn, Riley, Tamara, Judd, Jenni, Hoopes, Jessica, Kelso, Madeleine, Kaldor, John, Lee, Rogan, Watts, Matthew, Biggs, Beverley-Ann, Gray, Darren J. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Integrated assessment of hydroclimatic extremes, land cover exposure, and vegetation responses in sub-humid and semi-arid regions in Brazil | Funatsu, Beatriz M., Mutti, Pedro R., Dubreuil, Vincent, Arvor, Damien, Romero, Hugo, Sarricolea, Pablo | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Impacts of meteorological drought on peak vegetation productivity of grasslands from perspectives of canopy structure and leaf physiology | Bai, Wenrui, Wang, Huanjiong, Xiao, Jingfeng, Li, Xing, Ge, Quansheng | Land Use/Land Cover Classification, Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| 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) | |
| Estimation of Fire Counts and Fire Radiative Power Using Satellite | Duan, Jiawei, Hu, Jiheng, Fu, Yuyun, Liu, Qingyang, Li, Rui, Wang, Yipu | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES | |
| Evapotranspiration stress intensifies with enhanced sensitivity to soil moisture deficits in a rapidly greening China | Liu, Yuan, Wang, Yong, Zhao, Yong, Chen, Shouzhi, Wang, Longhao, Yang, Wenjing, Li, Xing, Li, Xinxi, Lei, Huimin, Chang, Huanyu, Zhai, Jiaqi, Zhu, Yongnan, Wang, Qingming, Ye, Ting | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Green tide cover area monitoring and prediction based on multi-source | Yu, T., Peng, X.W., Wang, Y., Xu, S.W., Liang, C., Wang, Z.Z. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global relevance of atmospheric and land surface drivers for hot temperature extremes | Uckan, Yigit, Ruiz-Vasquez, Melissa, De Polt, Kelley, Orth, Rene | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Over 60% precipitation transformed into terrestrial water storage in global river basins from 2002 to 2021 | Zhong, Yulong, Tian, Baoming, Kim, Hyunglok, Yuan, Xing, Liu, Xinyue, Zhu, Enda, Wu, Yunlong, Wang, Lunche, Wang, Lizhe | 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, Terrestrial Water Storage, Ground Water, Glacier Mass Balance/Ice Sheet Mass Balance, Precipitation, Precipitation Amount, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Physiology dominates over phenology in influencing variation and trends of forest transpiration | Cui, Zilong, Zhang, Yuan, Wang, Anzhi, Fei, Wenli, Shen, Lidu, Wu, Jiabing | 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, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Asymmetric sensitivity of boreal forest resilience to forest gain and loss | Liu, Xiaoye, Wang, Dashan, Chen, Anping, Zeng, Zhenzhong | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| 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 | |
| Deforestation Increases Vegetation Vulnerability to Drought Across | Xiao, Chenwei, Zaehle, Sonke, Sitch, Stephen, Duveiller, Gregory, PabonMoreno, Daniel E., Walker, Anthony P., Knauer, Jurgen, Maignan, Fabienne, Schmullius, Christiane, Bastos, Ana | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| SeasFire cube-a multivariate dataset for global wildfire modeling | Karasante, Ilektra, Alonso, Lazaro, Prapas, Ioannis, Ahuja, Akanksha, Carvalhais, Nuno, Papoutsis, Ioannis | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Emissivity, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fire Ecology, Biomass Burning, Wildfires, Population Density, Burned Area | |
| Solar-Induced Chlorophyll Fluorescence Yield Holds the Potential for | Behera, Subhrasita, T L, Elakkiyaa, Sarkar, Ananya, Dutta, Debsunder | Land Use/Land Cover Classification, 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, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Shifts in phenological phase of global terrestrial vegetation during the past three decades | Jin, Lei, Zhao, Hongfang, Huang, Ling, Zhao, Quanbo, Xu, Siji, Qu, Shiyu, Wang, Xuhui | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Trans-Seasonal Vegetation-Land-Atmosphere Interactions Explained | An, Ning, Chen, Yang, Liao, Zhen, Li, Jianying | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Vegetation Index | |
| Vegetation optical depth as a key predictor for fire risk escalation | Kankanige, Dinuka, Liu, Yi Y., Sharma, Ashish | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Two-decade spatiotemporal variations in ground-level ozone over Ontario, Canada | Zang, Zhou, Liu, Jane, Ge, Erjia, Zhang, Yi | Population Density, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Unveiling the Role of Spatial Functional Trait Variations on Grassland Primary Productivity at France Scale | Chebbo, Sara, Violle, Cyrille, Mahaut, Lucie, Kattge, Jens, Peaucelle, Marc, Choler, Philippe, Viovy, Nicolas | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A daily gap-free normalized difference vegetation index dataset from 1981 to 2023 in China | Li, Huiwen, Cao, Yue, Xiao, Jingfeng, Yuan, Zuoqiang, Hao, Zhanqing, Bai, Xiaoyong, Wu, Yiping, Liu, Yu | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| A Deep Learning Framework for Satellite-Derived Surface PM 2.5 Estimation: Enhancing Spatial Analysis in the United States | Kayastha, Sagun Gopal, Ghahremanloo, Masoud, Park, Jincheol, Singh, Deveshwar, Westenbarger, David, Choi, Yunsoo | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A Novel Downscaling Approach based on Multi-Frequency Microwave Radiometry toward Finer Scale Global Soil Moisture Mapping | Song, Peilin, Zhao, Tianjie, Shi, Jiancheng, Zhang, Yongqiang, Zheng, Jingyao | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Net Primary Production of Ecoregions Across North America in Response to | Potter, Christopher, Pass, Stephanie, Ulrich, Rachel | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds | |
| Divergent Responses of Summer Terrestrial Evapotranspiration to Cloud | Wang, Yipu, Li, Rui, Song, Binbin, Hu, Jiheng | 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, Photosynthesis, Primary Production, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Globally assessing how evapotranspiration feedbacks govern the impacts of multi-year droughts | Liu, Qiang, Liang, Liqiao, McVicar, Tim R., Wang, Xuan, Li, Chunhui, Xia, Xinghui, Yan, Denghua | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI) | |
| Heterogeneity in vegetation recovery rates post-flash droughts across | Lu, Mengge, Sun, Huaiwei, Cheng, Lei, Li, Siyue, Qin, Hui, Yi, Shanzhen, Zhang, Hong, Zhang, Wenxin | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Primary Production, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Gross Primary Production (gpp), Reflectance | |
| Photoperiod alone does not explain the variations of leaf senescence onset across Europe | Liu, Qiang, Delpierre, Nicolas, Campioli, Matteo | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Changes in the net primary production of ecosystems across Western | Potter, Christopher, Pass, Stephanie | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds | |
| Deep learning bias correction of GEMS tropospheric NO2: A comparative validation of NO2 from GEMS and TROPOMI using Pandora observations | Ghahremanloo, Masoud, Choi, Yunsoo, Singh, Deveshwar | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Relevance of near-surface soil moisture vs. terrestrial water storage for global vegetation functioning | Khanal, Prajwal, Hoek Van Dijke, Anne J., Schaffhauser, Timo, Li, Wantong, Paulus, Sinikka J., Zhan, Chunhui, Orth, Rene | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Landscape Patterns | |
| TCSIF: a temporally consistent global Global Ozone Monitoring Experiment-2A (GOME-2A) solar-induced chlorophyll fluorescence dataset with the correction ... | Zou, Chu, Du, Shanshan, Liu, Xinjie, Liu, Liangyun | Atmospheric Carbon Dioxide, Solar Induced Fluorescence, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Albedo, Anisotropy, Reflectance, Longwave Radiation, Shortwave Radiation, Heat Flux, Liquid Precipitation, Snow/Ice, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Water availability and atmospheric dryness controls on spaceborne sun-induced chlorophyll fluorescence yield | De Canniere, S., Baur, M.J., Chaparro, D., Jagdhuber, T., Jonard, F. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A Coupled Deep Learning Model for Estimating Surface NO2 Levels from Remote Sensing Data: 15Year Study Over the Contiguous United States | Ghahremanloo, Masoud, Lops, Yannic, Choi, Yunsoo, Mousavinezhad, Seyedali, Jung, Jia | 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, Population Density, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| A 21-year dataset (20002020) of gap-free global daily surface soil moisture at 1-km grid resolution | Zheng, Chaolei, Jia, Li, Zhao, Tianjie | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Machine Learning Model-Based Estimation of XCO2 with High Spatiotemporal | He, Sicong, Yuan, Yanbin, Wang, Zihui, Luo, Lan, Zhang, Zili, Dong, Heng, Zhang, Chengfang | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Necromass-derived soil organic carbon and its drivers at the global scale | Cao, Yingfang, Ding, Jinzhi, Li, Juan, Xin, Zhiming, Ren, Shuai, Wang, Tao | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Numerical Study on the Effects of Intraseasonal Oscillations for a | Qin, Yi, Qin, Yujing, Shen, Yichen, Li, Yonghua, Xiang, Bo | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global vegetation resilience linked to water availability and variability | Smith, Taylor, Boers, Niklas | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global monitoring of soil multifunctionality in drylands using satellite | HernandezClemente, R., Hornero, A., GonzalezDugo, V., Berdugo, M., Quero, J. L., Jimenez, J. C., Maestre, F. T. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global high-resolution drought indices for 1981-2022 | Gebrechorkos, Solomon H., Peng, Jian, Dyer, Ellen, Miralles, Diego G., Vicente-Serrano, Sergio M., Funk, Chris, Beck, Hylke E., Asfaw, Dagmawi T., Singer, Michael B., Dadson, Simon J. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Emissivity, Land Surface Temperature | |
| A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm | Hu, Lu, Zhao, Tianjie, Ju, Weimin, Peng, Zhiqing, Shi, Jiancheng, Rodriguez-Fernandez, Nemesio J., Wigneron, Jean-Pierre, Cosh, Michael H., Yang, Kun, Lu, Hui, Yao, Panpan | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Contrasting responses of peak vegetation growth to asymmetric warming: Evidences from FLUXNET and satellite observations | Liu, Ying, Wu, Chaoyang, Wang, Xiaoyue, Zhang, Yao | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Contrasting characteristics of atmospheric rivers and their impacts on | Ryoo, Ju-Mee, Park, Taejin | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| On the geomorphic, meteorological, and hydroclimatic drivers of the unusual 2018 early summer salt dust storms in Central Asia | Xi, Xin | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Reliability of resilience estimation based on multi-instrument time series | Smith, Taylor, Zotta, Ruxandra-Maria, Boulton, Chris A., Lenton, Timothy M., Dorigo, Wouter, Boers, Niklas | Land Use/Land Cover Classification, 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 |
|---|---|---|---|---|---|---|---|
| CMG 0.05 Deg 16 days #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 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 used | Number of 1 km input pixels used | 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 |