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 |
|---|---|---|---|
| Heavy Metal Contamination in the Mahoning River, Ohio | Zeeshan, M., Ehsani, S., Deschenes, R., Armstrong, F., Shellito, B. | Land Use/Land Cover Classification | |
| Globally Mapping the Nitrogen Stable Isotope Ratios of Terrestrial Vegetation From 1984 to 2022 | Yang, Jinyan, Zhang, Haiyang, Guo, Yiqing, Donohue, Randall J., McVicar, Tim R., Ferrier, Simon, Muller, Warren, Lu, Xiaotao, Fang, Yunting, Wang, Xiaoguang, Reich, Peter B., Han, Xingguo, Mokany, Karel | Land Use/Land Cover Classification | |
| Greenspace mitigates the global disease and economic burdens of non-communicable diseases | Qiu, Hui-Ling, Xie, Yu-Ting, Zhou, Gang-Long, Zhu, Shi-Fu, Zhao, Tianyu, Heinrich, Joachim, Bloom, Michael S., Huang, Wen-Zhong, Lau, Sam S.S., Zhang, Yi-Dan, Li, Jia-Xin, Wang, Lu, Zhu, Xiao-Qi, Jiang, Jian-Cheng, Lin, Shao, Zou, Xiao-Guang, Li, Li, Dong, Guang-Hui, Fan, Shu-Jun, Yang, Bo-Yi | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Vegetation Phenological Responses to Multi-Factor Climate Forcing on the Tibetan Plateau: Nonlinear and Spatially Heterogeneous Mechanisms | Xu, Liuxing, Xu, Ruicheng, Peng, Wenfu | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Vegetation Productivity Responses to Compound and Individual Climatic | Li, Yangmingkai, Lian, Xu, Cui, Jiangpeng, Hong, Songbai, Wang, Xuhui | Land Use/Land Cover Classification | |
| Vegetation signal crosstalk present in official SMAP surface soil | Crow, Wade T., Feldman, Andrew F. | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Brightness Temperature, Surface Soil Moisture | |
| Tropospheric NO2 Patterns in Eastern Canada Using the First Year of TEMPO Observations | Siu, Tsz Kin, Goldberg, Daniel L., Kerr, Gaige H., Chen, Lulu, Nawaz, M. Omar, Chang, Rachel Y.W., Fong, Kelvin C. | Nitrogen Dioxide, Nitrogen Oxides, Land Use/Land Cover Classification | |
| Unraveling the Distinct Roles of Snowmelt and Glacier-Melt on | Zha, Hang, Zhang, Fan, Zhang, Hongbo, Tang, Shizhen, Zhang, Longhui, Luo, Lun | Land Use/Land Cover Classification | |
| Wildfire danger under changing climates in the southern Great Plains throughout the 21st century | Fang, Shanmin, Yang, Jia, Zou, Chris B., Krueger, Erik S., Ochsner, Tyson E., Zhang, Quan | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Wildfire probability assessment and analysis based on multi-source data | Xu, Kun, Pan, Xin, Tansey, Kevin, Abdulla, Akram, Guluzade, Rufat, Yang, Zi, He, Min, Zhu, Congbao, Yang, Shile, Yang, Yingbao | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation | |
| Widespread and Divergent Post-Drought Loss of Gross Primary Production | Zhao, Zhuoyi, Zhou, Yanlian, Ju, Weimin, Xiao, Jingfeng, Li, Xing | Plant Phenology, Enhanced Vegetation Index (EVI), 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, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Gross Primary Production (gpp), Reflectance | |
| Green steel for post-war Ukraine | Devlin, A., Mykhnenko, V., Zagoruichyk, A., Salmon, N., Soldak, M. | Land Use/Land Cover Classification | |
| High resolution global forest burned area changes monitoring using | Zhang, Zhaoming, Qi, Baoye, He, Guojin, Wang, Mengmeng, Huang, Shunguo, Long, Tengfei, Wang, Guizhou, Xu, Zekun | Land Use/Land Cover Classification | |
| Vegetation biogeography is a main source of uncertainty in modelling the | Zhao, Ruiying, Luo, Xiangzhong, Walker, Anthony P., Hoffman, Forrest M., Koh, Lian Pin | Land Use/Land Cover Classification | |
| Mapping environmental suitability changes for arbovirus mosquitoes in | Hou, Weitao, Zhou, Yuxuan, Luo, Wei, Wang, Lin, Kwan, Mei-Po, Cook, Alex R. | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Mapping Extreme Wildfires Using a Critical Threshold in SMAP Soil | Goffin, Benjamin D., Aryal, Aashutosh, Deppert, Quinton, Ross, Kenton W., Lakshmi, Venkataraman | Land Use/Land Cover Classification | |
| Mapping forest cover and change as continuous variables is essential to advance consistency across forest monitoring products | Gutierrez-Velez, Victor Hugo, Rodriguez-Escobar, Jeronimo, Mejia, Angela, Espejo, Javier, Anaya, Jesus A., Blair, Mary E. | Land Use/Land Cover Classification, Terrestrial Ecosystems, Biomass, LIDAR WAVEFORM | |
| Mapping 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020 | Zhu, Mengyao, Dai, Junhu, Wang, Huanjiong, Alatalo, Juha M., Liu, Wei, Hao, Yulong, Ge, Quansheng | Land Use/Land Cover Classification, Plant Phenology, Normalized Difference Vegetation Index (NDVI), Plant Phenological Changes, Reflectance, Enhanced Vegetation Index (EVI) | |
| Machine learning and global vegetation: random forests for downscaling and gap filling | van Jaarsveld, Barry, Hauswirth, Sandra M., Wanders, Niko | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Loss and recovery of vegetation productivity in response to extreme | Li, Meng, Cui, Rui, Bu, Lingjia, Yang, Yuting | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| LamaH-Ice: LArge-SaMple DAta for Hydrology and Environmental Sciences for Iceland | Helgason, Hordur Bragi, Nijssen, Bart | Stratigraphic Sequence, Digital Elevation/Terrain Model (DEM), Soil Depth, Sediments, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Land Use/Land Cover Classification | |
| Land and Atmospheric Drivers of the 2023 Flood in India | Kushwaha, Anuj Prakash, Solanki, Hiren, Vegad, Urmin, Mahto, Shanti Shwarup, Mishra, Vimal | Population Density, Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Land Cover Disaggregated Fire Occurrence and Particulate | Adaktylou, Nektaria, Stratoulias, Dimitris, Borgman, Julia, Cha, Sangwoo, Adiningrat, Devara P., Nuthammachot, Narissara | Land Use/Land Cover Classification | |
| Modeling canopy water content in the assessment for rainfall induced surface and groundwater nitrate contamination: The Bilate cropland sub 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) | |
| Modeling drivers of satellite-derived net primary productivity: inclusion of non-vegetated areas can be potential source of error | Buba, Toma | Land Use/Land Cover Classification, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux |