N: 90 S: -90 E: 180 W: -180
Description
The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type (MCD12Q1) Version 6.1 data product provides global land cover types at yearly intervals. The MCD12Q1 Version 6.1 data product is derived using supervised classifications of MODIS Terra and Aqua reflectance data. Land cover types are derived from the International Geosphere-Biosphere Programme (IGBP), University of Maryland (UMD), Leaf Area Index (LAI), BIOME-Biogeochemical Cycles (BGC), and Plant Functional Types (PFT) classification schemes. The supervised classifications then undergo additional post-processing that incorporate prior knowledge and ancillary information to further refine specific classes. Additional land cover property assessment layers are provided by the Food and Agriculture Organization (FAO) Land Cover Classification System (LCCS) for land cover, land use, and surface hydrology.
Layers for Land Cover Type 1-5, Land Cover Property 1-3, Land Cover Property Assessment 1-3, Land Cover Quality Control (QC), and a Land Water Mask are provided in each MCD12Q1 Version 6.1 Hierarchical Data Format 4 (HDF4) file.
Known Issues
- The "units" field is missing in the metadata, however, this information can be found in Table 1 of the User Guide.
- The MCD12Q1.061 land cover data product is derived using supervised classification of MODIS Terra and Aqua reflectance data. The classification algorithm uses labeled training samples selected globally to represent land cover categories derived under the IGBP, UMD, LAI, BIOME-BGC, and PFT classification schemes. These training samples were selected to represent land classes, best suited over a certain period. However, due to lack of funding, the science team was not able to keep the training database updated over the course of the years, and some of these training sites could well have undergone changes in their land cover characteristics, especially after 2021. Hence users are urged to maintain caution while using the V6.1/MCD12Q1 land cover layers for 2021 and beyond. More information on this known issue can be found in the Land Data Products Operational Products (LDOPE) Quality Assessment.
- Known issues are described in Section 2.2 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.
Copy Citation
File Naming Convention
The file name begins with the Product Short Name (MCD12Q1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2024001), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h21v07), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025205222320), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Dataset Resources
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Global Leaf Chlorophyll Content Dataset (GLCC) from 20032012 to 20182020 Derived from MERIS and OLCI Satellite Data: Algorithm and Validation | Qian, Xiaojin, Liu, Liangyun, Chen, Xidong, Zhang, Xiao, Chen, Siyuan, Sun, Qi | Land Use/Land Cover Classification | |
| Devolution of tenure rights in forestland in China: Impact on investment and forest growth | Yi, Yuanyuan | Land Use/Land Cover Classification | |
| DHI-GHM: Real-time and forecasted hydrology for the entire planet | Murray, Alexandra M., Jrgensen, Gregers H., Godiksen, Peter N., Anthonj, Jannik, Madsen, Henrik | Land Use/Land Cover Classification, Reflectance, Total Surface Water | |
| Design of a Multilayer Perceptron Network Based on the Normalized Histogram to Develop Yields Predictive Model | Khalil, Zena H., Khaleel, Alaa Hussein | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Developing a two-decadal time-record of rice field maps using Landsat-derived multi-index image collections with a random forest classifier: A Google Earth ... | Fernando, W. Ashane M., Senanayake, I.P. | Land Use/Land Cover Classification | |
| Developing global annual land surface phenology datasets (1982-2018) | Wu, Wei, Li, Ziming, Zhang, Zhicheng, Yan, Chenxi, Xiao, Kun, Wang, Yidan, Xin, Qinchuan | Land Use/Land Cover Classification | |
| Estimating Agricultural Cropping Intensity Using a New Temporal Mixture | Tao, Jianbin, Zhang, Xinyue, Liu, Yiqing, Jiang, Qiyue, Zhou, Yang | Land Use/Land Cover Classification | |
| Estimating global GPP from the plant functional type perspective using a machine learning approach | Guo, Renjie, Chen, Tiexi, Chen, Xin, Yuan, Wenping, Liu, Shuci, He, Bin, Li, Lin, Wang, Shengzhen, Hu, Ting, Yan, Qingyun, Wei, Xueqiong, Dai, Jie | Land Use/Land Cover Classification | |
| Examining leopard attacks: spatio-temporal clustering of human injuries and deaths in Western Himalayas, India | Shivakumar, Shweta, Carricondo-Sanchez, David, Athreya, Vidya, Odden, Morten, Dhiman, Sat Pal, Vaidyanathan, Srinivas, Karanth, Krithi K. | Land Use/Land Cover Classification | |
| Eco-ISEA3H, a machine learning ready spatial database for ecometric and species distribution modeling | Mechenich, Michael F., Zliobaite, Indre | Population Density, Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Eco-morphodynamic carbon pumping by the largest rivers in the Neotropics | Salerno, Luca, Vezza, Paolo, Perona, Paolo, Camporeale, Carlo | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Drivers of eco-environmental quality in China from 2000 to 2017 | Bai, Tingting, Cheng, Jie, Zheng, Zihao, Zhang, Qifei, Li, Zihao, Xu, Dong | Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Evapotranspiration, Latent Heat Flux | |
| Dynamics of global dryland vegetation were more sensitive to soil moisture: Evidence from multiple vegetation indices | Liu, Huanhuan, Liu, Yue, Chen, Yu, Fan, Mengen, Chen, Yin, Gang, Chengcheng, You, Yongfa, Wang, Zhuonan | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Downscaling Simulation of Groundwater Storage in the Beijing, Tianjin, and Hebei Regions of China Based on GRACE Data | Sun, Jianchong, Hu, Litang, Chen, Fei, Sun, Kangning, Yu, Lili, Liu, Xin | Land Use/Land Cover Classification | |
| Drylands contribute disproportionately to observed global productivity | Wang, Shuai, Fu, Bojie, Wei, Fangli, Piao, Shilong, Maestre, Fernando T., Wang, Lixin, Jiao, Wenzhe, Liu, Yanxu, Li, Yan, Li, Changjia, Zhao, Wenwu | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification | |
| Dynamic savanna burning emission factors based on satellite data using | Vernooij, Roland, Eames, Tom, Russell-Smith, Jeremy, Yates, Cameron, Beatty, Robin, Evans, Jay, Edwards, Andrew, Ribeiro, Natasha, Wooster, Martin, Strydom, Tercia, Giongo, Marcos Vinicius, Borges, Marco Assis, Menezes Costa, Maximo, Barradas, Ana Carolina Sena, van Wees, Dave, Van der Werf, Guido R. | Land Use/Land Cover Classification, Reflectance, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Vegetation Cover | |
| Effect of climate warming on the timing of autumn leaf senescence reverses after the summer solstice | Zohner, Constantin M., Mirzagholi, Leila, Renner, Susanne S., Mo, Lidong, Rebindaine, Dominic, Bucher, Raymo, Palous, Daniel, Vitasse, Yann, Fu, Yongshuo H., Stocker, Benjamin D., Crowther, Thomas W. | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Reflectance | |
| Economic Growth Does Not Mitigate Its Decoupling Relationship with Urban Greenness in China | Cheng, Min, Liang, Ying, Zeng, Canying, Pan, Yi, Zhu, Jinxia, Wang, Jingyi | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Elucidating hidden and enduring weaknesses in dust emission modeling | Chappell, Adrian, Webb, Nicholas P., Hennen, Mark, Zender, Charles S., Ciais, Philippe, Schepanski, Kerstin, Edwards, Brandon L., Ziegler, Nancy P., Balkanski, Yves, Tong, Daniel, Leys, John F., Heidenreich, Stephan, Hynes, Robert, Fuchs, David, Zeng, Zhenzhong, Baddock, Matthew C., Lee, Jeffrey A., Kandakji, Tarek | Land Use/Land Cover Classification, Albedo, Anisotropy | |
| Crop Predictive Insights: The Synergy of Deep Learning, Multi-Source Satellite Imagery and Weather Data | Patel, Pragneshkumar, Chaudhary, Sanjay, Parmar, Hasit | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Does the spatial pattern of urban bluegreen space at city-level affects its cooling efficiency? Evidence from Yangtze River Economic Belt, China | Yujie, Ren, Tang, Xiaolan, Fan, Tianhui, Kang, Daxi | Land Use/Land Cover Classification | |
| Estimation of Northern Burnt Forest Mortality in the 21st Century Based on MODIS Data on Fire Intensity | Lozin, D. V., Loupian, E. A., Balashov, I. V., Bartalev, S. A. | Land Use/Land Cover Classification | |
| Estimation of northern burnt forests mortality in the XXI century based on MODIS data on fire intensity | Space Research Institute RAS; Lomonosov Moscow State University, Lozin, D.V., Loupian, E.A., Balashov, I.V., Bartalev, S.A. | Land Use/Land Cover Classification | |
| Coupled estimation of global 500m daily aerodynamic roughness length, zero-plane displacement height and canopy height | Peng, Zhong, Tang, Ronglin, Liu, Meng, Jiang, Yazhen, Li, Zhao-Liang | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Diverging Trends in Rain-On-Snow Over High Mountain Asia | Maina, Fadji Z., Kumar, Sujay V. | Land Use/Land Cover Classification |