N: 90 S: -90 E: 180 W: -180
Description
The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Dynamics (MCD12Q2) Version 6.1 data product provides global land surface phenology metrics at yearly intervals. The MCD12Q2 Version 6.1 data product is derived from time series of the 2-band Enhanced Vegetation Index (EVI2) calculated from MODIS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 500 meter spatial resolution are identified for up to two detected growing cycles per year. For pixels with more than two valid vegetation cycles, the data represent the two cycles with the largest NBAR-EVI2 amplitudes.
Provided in each MCD12Q2 Version 6.1 Hierarchical Data Format 4 (HDF4) file are layers for the total number of vegetation cycles detected for the product year, the onset of greenness, greenup midpoint, maturity, peak greenness, senescence, greendown midpoint, dormancy, EVI2 minimum, EVI2 amplitude, integrated EVI2 over a vegetation cycle, as well as overall and phenology metric-specific quality information. SDS layers may be multi-dimensional with up to two valid vegetation cycles.
For areas where the NBAR-EVI2 values are missing due to cloud cover or other reasons, the data gaps are filled with good quality NBAR-EVI2 values from the year directly preceding or following the product year.
Known Issues
- Known issues are described in Section 3.2 of the User Guide.
- 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 (MCD12Q2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2023001), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h07v03), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2024211022728), 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 |
|---|---|---|---|
| Data gaps and outliers distort critical-slowing-down-based resilience | Liu, Teng, Morr, Andreas, Bathiany, Sebastian, Blaschke, Lana L., Qian, Zhen, Diao, Chan, Smith, Taylor, Boers, Niklas | Plant Phenology, Enhanced Vegetation Index (EVI), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Deriving Gridded Soil Moisture Estimates Using Earth Observation Data | Fealy, Rowan, Ishola, Kazeem, McCarthy, Tim, Nair, Ajay, de Andrade Moral, Rafael | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI) | |
| Improving regional simulations of processing tomato using remote sensing | Yang, Xin, Rezaei, Ehsan Eyshi, Farneselli, Michela, Croci, Michele, Tei, Francesco, Nendel, Claas | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Impact of land-use change on ecosystem services in Africa's Great Green | Wang, Yizhuo, Scott, Catherine E., Dallimer, Martin | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Evapotranspiration, Latent Heat Flux, Topographical Relief Maps, Terrain Elevation, Digital Elevation/Terrain Model (DEM) | |
| Individualised niches in a variable environment-Consequences for | Enne, Anastasiia, Venugopal, Vishnu, Nabutanyi, Peter, Wittmann, Meike J. | Plant Phenology, Enhanced Vegetation Index (EVI) | |
| A comparative study of low-level jets in different climate regions in China using multi-site Doppler wind lidar observations | Wang, Mengya, Wei, Tianwen, Lolli, Simone, Rocadenbosch, Francesc, Salcedo-Bosch, Andreu, Du, Yu, Wang, Yuan, Wang, Chenggang, Zong, Lian, Gu, Yefu, Wan, Bingcheng, Su, Lian, Wei, Fangzhi, Xia, Haiyun | Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Do CMIP6 earth system models outperform their predecessors in simulating | Xu, Ruixuan, Zhao, Weiqing, Cao, Sen, Zhu, Zaichun | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Enhancing river channel geometry estimation for bankfull conditions in | Rojas, Marcela, Gilles, Daniel, Young, Nathan | Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Carry-over effects between spring and autumn phenology differ among the World's biomes | Wu, Zhaofei, Fu, Yongshuo H, Crowther, Thomas W, Renner, Susanne S, Vitasse, Yann, Mo, Lidong, Zou, Yibiao, Mirzagholi, Leila, Li, Mingwei, Rebindaine, Dominic, Gong, Yufeng, Guo, Zhendong, Wang, Nan, Zohner, Constantin M | Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Advancing ecohydrological modelling: coupling LPJ-GUESS with ParFlow for integrated vegetation and surface-subsurface hydrology simulations | Jia, Zitong, Chen, Shouzhi, Fu, Yongshuo H., Martin Belda, David, Warlind, David, Olin, Stefan, Xu, Chongyu, Tang, Jing | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Global Mercury Emissions from Open Biomass Burning Estimated Using a Mass-Balance Approach | Shen, Yuzhe, Chen, Long, Wang, Danyu, Chen, Qinzheng, Zhou, Qi, Huang, Ye, Du, Wei, Chen, Yuanchen, Yang, Yi | Biomass, Forests, Grasslands, Alpine/Tundra, Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Heat requirement, not warming, governs the urbanrural disparity in spring phenology advancement | He, Can, Wang, Xiaoyue, Penuelas, Josep, Zhang, Xuezhen, Wu, Chaoyang | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Reflectance, Albedo, Anisotropy, Shortwave Radiation | |
| Harmonizing terrestrial carbon cycle observations over CONUS NEON sites: Assessing the information contributions of multiple data constraints | Zhang, Dongchen, Li, Qianyu, Helgeson, Alexis, Serbin, Shawn P., Dietze, Michael | Root Zone Soil Moisture, Surface Soil Moisture, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Heterogeneous climate impacts on spring phenology of China's wetlands | Feng, Kaidong, Mao, Dehua, Xu, Xiaofeng, Pu, Haiguang, Wang, Ming, Wang, Duanrui, Xing, Zihan, Jiang, Xiapeng, Qin, Ying, Xiang, Hengxing, Wang, Zongming, Van de Voorde, Tim | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Plant Phenology | |
| Leveraging sUAS-Sentinel-2 synergy for cross-scale mapping of canopy | Kolluru, Venkatesh, John, Ranjeet, Chen, Jiquan, Henebry, Geoffrey M., Xiao, Jingfeng, Shinde, Rajat, Kussainova, Maira, Ganzorig, Ulgiichimeg | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Projected impacts of climate change on malaria in Africa | Symons, Tasmin L., Moran, Alexander, Balzarolo, Ann, Vargas, Camilo, Robertson, Mairi, Lubinda, Jailos, Saddler, Adam, McPhail, Michael, Harris, Joseph, Rozier, Jennifer, Browne, Annie, Amratia, Punam, Bertozzi-Villa, Amelia, Bhatt, Samir, Cameron, Ewan, Golding, Nick, Smith, David L., Noor, Abdisalan M., Rumisha, Susan F., Palmer, Matthew D., Weiss, Daniel J., Desai, Naomi, Potere, David, Sukitsch, Nicholas, Woods, Wendy, Gething, Peter W. | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Regionalization of Optimal Baseflow Separation Using Catchment-Scale | Lin, Yongen, Mei, Yiwen, Wang, Dagang, Zhu, Jinxin, Wu, Huan, Wang, Shuo, Yin, Gaohong, Gao, Liang, Anagnoustou, Emmanouil N. | Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Temporally extending long-term forest productivity dynamics using | Cen, Yi, Hou, Lu, Gao, Xiaojie, Liu, Kai, Li, Yao, Shen, Yu, Yang, Yingpin, Wang, Zongbin, Wang, Jinnian | Plant Phenology, Enhanced Vegetation Index (EVI), Solar Induced Fluorescence, Chlorophyll, Primary Production, Leaf Characteristics | |
| Temperature shapes spatial-temporal patterns of global soil carbon accumulation | Yang, Shanshan, Li, Juan, Kuzyakov, Yakov, Smith, Pete, Wang, Lixin, Wang, Yafeng, Ren, Shuai, Huo, Huangyu, Gu, Xiling, Wang, Miaoyue, Li, Jiayi, Cheng, Hao, Ding, Jinzhi | Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Satellite-Based Fraction of Available Water Reveals Soil Moisture Deficits Preceding Major Wildfires | Goffin, Benjamin D., Fernandez, Alfonso, Etchanchu, Jordi, Fang, Bin, Lakshmi, Venkataraman | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Topographical Relief Maps, Plant Phenology, Enhanced Vegetation Index (EVI), Brightness Temperature, Surface Soil Moisture, SIGMA NAUGHT | |
| Satellite-Derived NDVI Predicts Forage Availability in a Wild Ungulate | Butt, Shane, Macphie, Kirsty, Turner, Richard S., Morris, Sean J., Morris, Alison, Pakeman, Robin, Kruuk, Loeske E. B., Pemberton, J. M., Froy, H. | Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Survival of a Long-Lived Avian Scavenger: Implications of Age, Season | Hudson, Spencer B., Tillman, Eric A., Wahl, Marian L., Zollner, Patrick A., Ross, Caryn D., DeVault, Travis L., Beasley, James C., NavedaRodriguez, Adrian, Rush, Scott A., Osterhoudt, Noah M., Kelly, Jeffrey F., Duerr, Adam E., Humberg, Lee A., Dunlap, Brett G., Neil, Chad, Forbes, John T., Glass, Harris, Guerrant, Travis L., Byrd, Robert W., Kavouriaris, Philip W., Darracq, Andrea K., Springer, Matthew T., Kluever, Bryan M. | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Responses of grassland ecosystem temporal stability to biotic and abiotic drivers in arid and semi-arid regions of China | Han, Yunxiang, Zhang, Huayong, Zhao, Bingjian, Luo, Xi, Zhang, Xiao | Plant Phenology, Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, Vegetation Productivity, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| The newly developed Multi-ensemble Biomass-burning Emissions Inventory (MBEI): characterizing and unraveling spatiotemporal uncertainty in global ... | Liu, Xinlu, Sun, Zhongyi, Shi, Chong, Wang, Peng, Nie, Tangzhe, Chu, Qingnan, Shang, Huazhe, Sun, Lu, Ji, Dabin, Guo, Meng, Yi, Kunpeng, Tan, Zhenghong, Wu, Lan, Lu, Xinchun, Yin, Shuai | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Fire Dynamics, Surface Radiative Properties, Land Surface Temperature | |
| Two decades of agricultural drought impacts: remote sensing insights into vegetation productivity and phenological change in semi-arid Botswana | Akinyemi, Felicia O., Graw, Valerie | Plant Phenology, Enhanced Vegetation Index (EVI), Vegetation Index, Normalized Difference Vegetation Index (NDVI) |
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 |
|---|---|---|---|---|---|---|---|
| Dormancy | Date when EVI2 last crossed 15% of the segment EVI2 amplitude | Day | int16 | 32767 | 11138 to 32766 | N/A | N/A |
| EVI_Amplitude | Segment maximum - minimum EVI2 | EVI2 | int16 | 32767 | 0 to 10000 | 0.0001 | N/A |
| EVI_Area | Sum of daily interpolated EVI2 from Greenup to Dormancy | EVI2 | int16 | 32767 | 0 to 3700 | 0.1 | N/A |
| EVI_Minimum | Segment minimum EVI2 value | EVI2 | int16 | 32767 | 0 to 10000 | 0.0001 | N/A |
| Greenup | Date when EVI2 first crossed 15% of the segment EVI2 amplitude | Day | int16 | 32767 | 11138 to 32766 | N/A | N/A |
| Maturity | Date when EVI2 first crossed 90% of the segment EVI2 amplitude | Day | int16 | 32767 | 11138 to 32766 | N/A | N/A |
| MidGreendown | Date when EVI2 last crossed 50% of the segment EVI2 amplitude | Day | int16 | 32767 | 11138 to 32766 | N/A | N/A |
| MidGreenup | Date when EVI2 first crossed 50% of the segment EVI2 amplitude | Day | int16 | 32767 | 11138 to 32766 | N/A | N/A |
| NumCycles | Total number of valid vegetation cycles with peak in product year | Number | int16 | 32767 | 1 to 7 | N/A | N/A |
| Peak | Date when EVI2 reached the segment maximum | Day | int16 | 32767 | 11138 to 32766 | N/A | N/A |
| QA_Detailed | Bit-packed, SDS-specific QA codes | Bit Field | int16 | 32767 | 0 to 16383 | N/A | N/A |
| QA_Overall | QA code for entire segment | Class | int16 | 32767 | 0 to 3 | N/A | N/A |
| Senescence | Date when EVI2 last crossed 90% of the segment EVI2 amplitude | Day | int16 | 32767 | 11138 to 32766 | N/A | N/A |