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 |
|---|---|---|---|
| Underappreciated contributions of biogenic volatile organic compounds from urban green spaces to ozone pollution | Wang, Haofan, Li, Yuejin, Liu, Yiming, Lu, Xiao, Zhang, Yang, Fan, Qi, Shen, Chong, Lai, Senchao, Zhou, Yan, Zhang, Tao, Yue, Dingli | 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 | |
| Weakly Supervised Framework Considering Multi-Temporal Information for | Wang, Yuze, Hu, Aoran, Qi, Ji, Liu, Yang, Tao, Chao | Land Use/Land Cover Classification | |
| Water column respiration in the Yakima River basin is explained by temperature, nutrients, and suspended solids | Laan, Maggi M., Fulton, Stephanie G., Garayburu-Caruso, Vanessa A., Barnes, Morgan E., Borton, Mikayla A., Chen, Xingyuan, Farris, Yuliya, Forbes, Brieanne, Goldman, Amy E., Grieger, Samantha, Hall Jr., Robert O., Kaufman, Matthew H., Lin, Xinming, Zionce, Erin L. M., McKever, Sophia A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron C., Ren, Huiying, Renteria, Lupita, Scheibe, Timothy D., Son, Kyongho, Tagestad, Jerry, Torgeson, Joshua M., Stegen, James C. | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, Vegetation Productivity, Evapotranspiration, Latent Heat Flux | |
| 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 | |
| Using explainable AI to diagnose the representation of environmental drivers in process-based soil organic carbon models | Wang, Lingfei, Abramowitz, Gab, Wang, Ying-Ping, Pitman, Andy, Ciais, Philippe, Goll, Daniel S. | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| 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 | |
| Variance-based sensitivity analysis of climate variability impact on | Xu, Yingqiang, Albalawneh, Abeer, Al-Zoubi, Maysoon, Baroud, Hiba | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Topographical Relief Maps, Land Surface Temperature, Emissivity | |
| 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, Root Zone Soil Moisture | |
| 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 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 | |
| Urbanization Impacts on South China Greater Bay Area Extreme RainfallSensitivity to Synoptic Systems during the Pre-Monsoon Period | Hu, Chenxi, Tam, Chi-Yung, Wang, Ziqian, Fang, Xiaoyi, Yang, Zong-Liang | Total Surface Precipitation Rate, Land Use/Land Cover Classification | |
| Understanding International Cooperation Potential in Coastal Multiple | Li, Jiaying, Tang, Junqing, Zhao, Pengjun, Huang, Fengjue, Lyu, Wei, Wang, Jing, Li, Duo, Richards, Dan, Lu, Qiuchen, Zhang, Jingyuan, Chen, Jun | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Upscaling eddy covariance measurements of carbon and water fluxes to the | Bu, Jingyi, Xiao, Jingfeng | Land Use/Land Cover Classification | |
| Undesirable Effects of Biogenic Emissions From Urban Green Spaces on Air | Zhu, Liuhua, Zhang, Yanli, Wang, Fan, Chen, Bin, Jin, Ling N., Dai, Huibin, Han, Yong, Lu, Xiao, Fu, TzungMay, Gao, Meng | Land Use/Land Cover Classification | |
| Unifying species distributions, community science and the natural removal experiment' to explore species interactions at broad geographic scales | Macklin, Rory D. J., Jankowski, Jill E. | Land Use/Land Cover Classification, Maximum/Minimum Temperature, Precipitation Amount, Snow Water Equivalent, Vapor Pressure, Shortwave Radiation | |
| Urban microclimates in a warming world: land surface temperature (LST) trends across ten major cities on seven continents | Kara, Yigitalp, Yavuz, Veli | Land Use/Land Cover Classification, Reflectance, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Urban-rural patterns and driving factors of particulate matter pollution | Song, Zhihao, Chen, Bin | Population Size, Land Use/Land Cover Classification, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM) | |
| 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 | |
| A comprehensive assessment of climate change and anthropogenic effects on surface Water resources in the Lake Urmia Basin, Iran | Kazemi Garajeh, Mohammad, Akbari, Rojin, Aghaei Chaleshtori, Sepide, Shenavaei Abbasi, Mohammad, Tramutoli, Valerio, Lim, Samsung, Sadeqi, Amin | Land Use/Land Cover Classification, Total Surface Precipitation Rate | |
| A Deep-Learning and Transfer-Learning Hybrid Aerosol Retrieval Algorithm | Fu, Disong, Shi, Hongrong, Gueymard, Christian A., Yang, Dazhi, Zheng, Yu, Che, Huizheng, Fan, Xuehua, Han, Xinlei, Gao, Lin, Bian, Jianchun, Duan, Minzheng, Xia, Xiangao | Land Use/Land Cover Classification | |
| A global assessment of the effects of solar farms on albedo, vegetation, and land surface temperature using remote sensing | Xu, Zhengjie, Li, Yan, Qin, Yingzuo, Bach, Eviatar | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Albedo, Anisotropy | |
| A Consistency Analysis of Land Surface Temperatures Retrieved From | Zhong, Shouyi, Li, Hua, Bian, Zunjian, Liu, Qiang, Du, Yongming, Cao, Biao, Xiao, Qing | Land Use/Land Cover Classification |