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 |
|---|---|---|---|
| An integrated framework for jointly assessing spatiotemporal dynamics of | Wang, Yuan, Wang, Han, Yao, Fei, Stouffs, Rudi, Wu, Jiansheng | Land Use/Land Cover Classification | |
| An investigation on potential dispersal of airborne pollen over China and their impact on climate as ice nuclei using RegCMpollen | Song, Rong, Wang, Tijian, Li, Shu, Zhuang, Bingliang, Li, Mengmeng, Xie, Min, Luo, Chuanxiu, KilifarskaNedialkova, Natalya Andreeva | Land Use/Land Cover Classification | |
| Annual and Seasonal Patterns of Burned Area Products in Arctic-Boreal North America and Russia for 20012020 | Clelland, Andrew A., Marshall, Gareth J., Baxter, Robert, Potter, Stefano, Talucci, Anna C., Rady, Joshua M., Genet, Helene, Rogers, Brendan M., Natali, Susan M. | Reflectance, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Fire Ecology, Biomass Burning, Wildfires, Burned Area, Emissions, Forests, Carbon, Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Reforestation, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds, Fire Dynamics, Normalized Difference Vegetation Index (NDVI), Albedo | |
| Annual Dynamics of Shortwave Radiation as Consequence of Smoothing | Cierniewski, Jerzy, Ceglarek, Jakub | Land Use/Land Cover Classification | |
| Assessing Nitrate Leaching and Runoff Coefficients in the Dynamic Interplay of Seasonal Crop Biomass: A Study of Surface and Groundwater Nitrate Contamination in the Bilate Cropland Watershed | Assa, Bereket Geberselassie, Bhowmick, Anirudh, Cholo, Bisrat Elias | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Assessing vegetation cover and valuing ecosystem services in southwestern Ethiopia: Implications for conservation | Yilma, Zenebe Ageru, Yitay, Bialfew Ashagrie | Land Use/Land Cover Classification | |
| Assessing GEDI data fusions to map woodpecker distributions and | Elliott, Lisa H, Vogeler, Jody C, Holbrook, Joseph D, Barry, Brent R, Vierling, Kerri T | Land Use/Land Cover Classification, VEGETATION HEIGHT, Forests, Forest Composition/Vegetation Structure | |
| Assessing groundwater drought vulnerability through baseflow separation and index-based analysis under climate change projections | Riazi, Mostafa, Khosravi, Khabat, Samani, Majid Riahi, Han, Shasha, Eslamian, Saeid | 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 | |
| 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 | |
| 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 | |
| Causal inference of root zone soil moisture performance in drought | Xue, Shouye, Wu, Guocan | 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, Geopotential Height, Altitude, Skin Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric 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, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Total Ozone, Land Use/Land Cover Classification | |
| CBTA: a CNN-BiGRU method with triple attention for winter wheat yield | Ye, Wenzheng, Ma, Tinghuai, Jin, Zilong, Rong, Huan, Osibo, Benjamin Kwapong, Abdel Wahab, Mohamed Magdy, Su, Yuming, Bediako-Kyeremeh, Bright | Land Use/Land Cover Classification | |
| Carbon sequestration potential of tree planting in China | Yao, Ling, Liu, Tang, Qin, Jun, Jiang, Hou, Yang, Lin, Smith, Pete, Chen, Xi, Zhou, Chenghu, Piao, Shilong | Land Use/Land Cover Classification, Emissivity, Land Surface Temperature | |
| Carbon sinks/sources' spatiotemporal heterogeneity and their spatial | Li, Xin, Zhao, Haixia, Gu, Binjie, Chen, Yijiang | Land Use/Land Cover Classification | |
| Causal association between environmental variables and the excess cases | Gutierrez, Juan David, Avila-Jimenez, Julian, Altamiranda-Saavedra, Mariano | 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) | |
| 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 | |
| Approximation of ice phenology of Maine lakes using Aqua MODIS surface | Skoglund, Sophia K., Bah, Abdou Rachid, Norouzi, Hamidreza, Weathers, Kathleen C., Ewing, Holly A., Steele, Bethel G., Bacon, Linda C. | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Annual vegetation maps in Qinghai-Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery | Zhou, Guangsheng, Ren, Hongrui, Zhang, Lei, Lv, Xiaomin, Zhou, Mengzi | Land Use/Land Cover Classification, Reflectance | |
| Anthropogenic Influences Alter the Response and Seasonality of | Maina, Fadji Z., Kumar, Sujay V. | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Evapotranspiration, Latent Heat Flux |