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 insect herbivory and its response to climate change | Liu, Mu, Jiang, Peixi, Chase, Jonathan M., Liu, Xiang | Land Use/Land Cover Classification | |
| Global Distributions of Reactive Iron and Aluminum Influence the Spatial | Ren, Siyu, Wang, Chuankuan, Zhou, Zhenghu | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Fall armyworm habitat analysis in Africa with multi-source earth observation data | Qi, Tonghui, Dong, Yingying, Li, XueLing, Zhao, MingXian, Huang, Wenjiang | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Feasibility of Urban-Rural Temperature Difference Method in Surface | Si, Menglin, Yao, Na, Li, Zhao-Liang, Liu, Xiangyang, Tang, Bo-Hui, Nerry, Francoise | Land Use/Land Cover Classification | |
| Exploring spatial machine learning techniques for improving land surface temperature prediction | Arunab, K.S., Mathew, Aneesh | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness | |
| Extending the wind profile beyond the surface layer by combining | Liu, Boming, Ma, Xin, Guo, Jianping, Wen, Renqiang, Li, Hui, Jin, Shikuan, Ma, Yingying, Guo, Xiaoran, Gong, Wei | Land Use/Land Cover Classification | |
| Extreme Climate as the Primary Control of Global Soil Organic Carbon | Wei, Yucheng, Wang, Mingming, Viscarra Rossel, R. A., Chen, Hong, Luo, Zhongkui | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Emissivity, Vegetation Index, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Normalized Difference Vegetation Index (NDVI), RADAR IMAGERY, Photosynthesis, Primary Production, Vegetation Productivity | |
| Habitat suitability and representation of the potential distribution of the lowland tapir (Tapirus terrestris) within land cover types and protected areas of eastern ... | Mosquera-Guerra, Federico, Moreno-Nino, Nathalia, Barreto, Sebastian, Armenteras-Pascual, Dolors | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| High Resolution (30 m) Burned Area Product Improves the Ability for | Qi, Baoye, Zhang, Zhaoming, Long, Tengfei, He, Guojin, Wang, Guizhou, Peng, Yan, Xu, Zekun | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation | |
| GTAP-SIMPLE-G: Integrating Gridded Land Use, Crop Production and Environment Impacts into Global General Equilibrium Model of Trade | Wang, Zhan | Land Use/Land Cover Classification | |
| Big Earth Data in Support of the Sustainable Development Goals (2022)The Belt and Road | Guo, Huadong | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Biodiversity and Wetting of Climate Alleviate Vegetation Vulnerability | Zhang, Gengxi, Zhang, Shuyu, Wang, Huimin, Gan, Thian Yew, Fang, Hongyuan, Su, Xiaoling, Song, Songbai, Feng, Kai, Jiang, Tianliang, Huang, Jinbai, Xu, Pengcheng, Fu, Xiaolei | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Carbon, Cation Exchange Capacity, Organic Matter, Terrestrial Ecosystems, Biomass, LIDAR WAVEFORM | |
| Biodiversity buffers the response of spring leaf unfolding to climate warming | Shen, Pengju, Wang, Xiaoyue, Zohner, Constantin M., Penuelas, Josep, Zhou, Yuyu, Tang, Zhiyao, Xia, Jianyang, Zheng, Hua, Fu, Yongshuo, Liang, Jingjing, Sun, Weiwei, Zhang, Yongguang, Wu, Chaoyang | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Biogenic Volatile Organic Compound Emission and Its Response to Land | Cao, Jing, Han, Huijuan, Qiao, Lili, Li, Lingyu | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Capturing Urban Heterogeneity Enhances Tropical Cyclones Simulation in | Fung, K. Y., Yang, Z.L., Niyogi, D. | Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Geopotential Height, Altitude, Surface Temperature, Skin Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Total Ozone | |
| Biomass Burning in Northeast China over Two Decades: Temporal Trends and | Huang, Heng, Jin, Yinbao, Sun, Wei, Gao, Yang, Sun, Peilun, Ding, Wei | Land Use/Land Cover Classification | |
| Canopy structure regulates autumn phenology by mediating the microclimate in temperate forests | Wu, Xiaoyong, Niu, Chunyue, Liu, Xiaoqiang, Hu, Tianyu, Feng, Yuhao, Zhao, Yingyi, Liu, Shuwen, Liu, Zhonghua, Dai, Guanhua, Zhang, Yao, Van Meerbeek, Koenraad, Wu, Jin, Liu, Lingli, Guo, Qinghua, Su, Yanjun | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Asymmetrical Impact of Daytime and Nighttime Warming on the Interannual | Yin, Peiyi, Li, Xuecao, Pellikka, Petri | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Bamboo Forests: Unleashing the Potential for Carbon Abatement and Local | Xu, Jiaming, Tan, Shen, Wang, Han, Zhang, Xin, Hong, Yifeng | Land Use/Land Cover Classification | |
| Barley vulnerability to climate change: perspectives for cultivation in South America | de Oliveira Aparecido, Lucas Eduardo, Torsoni, Guilherme Botega, Lorencone, Pedro Antonio, Lorencone, Joao Antonio, de Souza Rolim, Glauco | Land Use/Land Cover Classification | |
| Atmospheric Dryness Dominates Afternoon Depression of Global Terrestrial | Liu, Yue, Penuelas, Josep, Cescatti, Alessandro, Zhang, Yongguang, Zhang, Zhaoying | Atmospheric Carbon Dioxide, Land Use/Land Cover Classification | |
| Assessing vegetation cover and valuing ecosystem services in southwestern Ethiopia: Implications for conservation | Yilma, Zenebe Ageru, Yitay, Bialfew Ashagrie | Land Use/Land Cover Classification | |
| Coherence of recurring fires and land use change in South America | Ren, Shulin, Xu, Xiyan, Jia, Gensuo, Huang, Anqi, Ma, Wei | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Photosynthetically Active Radiation, Leaf Characteristics | |
| Comparing machine learning algorithms to predict vegetation fire | Shahzad, Fahad, Mehmood, Kaleem, Hussain, Khadim, Haidar, Ijlal, Anees, Shoaib Ahmad, Muhammad, Sultan, Ali, Jamshid, Adnan, Muhammad, Wang, Zhichao, Feng, Zhongke | Land Use/Land Cover Classification | |
| Large disagreements in estimates of urban land across scales and their | Chakraborty, TC, Venter, Zander S., Demuzere, Matthias, Zhan, Wenfeng, Gao, Jing, Zhao, Lei, Qian, Yun | Land Use/Land Cover Classification |