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 |
|---|---|---|---|
| The Downscaled GOME-2 SIF Based on Machine Learning Enhances the | Hu, Chenyu, Xie, Pinhua, Hu, Zhaokun, Li, Ang, Feng, Haoxuan | Land Use/Land Cover Classification | |
| Subsurface storage of previous year's precipitation contributes to | Yu, Zongxu, Wang, Ping, Yu, Jingjie, Wang, Tianye | Land Use/Land Cover Classification | |
| Synergistic Effects of Drivers on Spatiotemporal Changes in Carbon and Water Use Efficiency in Irrigated Cropland Ecosystems | Li, Guangchao, Yi, Zhaoqin, Qian, Tiantian, Chang, Yuhan, Gao, Hanjing, Yu, Fei, Han, Liqin, Lu, Yayan, Zuo, Kangjia | Land Use/Land Cover Classification | |
| Synergizing machine learning and interpolation methods: A Stacking | Rong, Jiaming, Zeng, Jiangyuan, Chen, Kun-Shan, Ma, Hongliang, Shi, Pengfei, Letu, Husi, Zhang, Xiang, Gu, Xihui, Bi, Haiyun, Zhang, Chunlin | Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Substantial Contribution of Woody Components to Rainfall Interception in | Jiang, ZhiYun, He, Wei, Chen, ZhiAng, Van Stan, John T., Guo, Li, Yuan, Chuan, Ma, YuJun, Zhang, SiYi, Li, XiaoYan, Zhang, Yu, Wang, DaGang, Liu, JinZhao, Jing, Ye, Sun, Ge, Hu, ZhongMin | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Substantial root-zone water storage capacity observed by GRACE and GRACE/FO | Zhao, Meng, McCormick, Erica L., A, Geruo, Konings, Alexandra G., Li, Bailing | Land Use/Land Cover Classification, Carbon, Cation Exchange Capacity, Organic Matter | |
| The contribution of fires to PM2.5 and population exposure in the Asia Pacific region | Lu, Hua, Xie, Min, Wang, Nan, Liu, Bojun, Jiang, Jinyue, Zhuang, Bingliang, Zhang, Ying, Wu, Meixuan, Yang, Jianfeng, Lv, Kunqin, Ma, Danyang | Land Use/Land Cover Classification, Land Surface Temperature, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES | |
| The Multi-Compartment Hg Modeling And Analysis Project (Mchgmap): Mercury Modeling To Support International Environmental Policy | Dastoor, Ashu, Angot, Helene, Bieser, Johannes, Brocza, Flora, Edwards, Brock, Feinberg, Aryeh, Feng, Xinbin, Geyman, Benjamin, Gournia, Charikleia, He, Yipeng, Hedgecock, Ian M., Ilyin, Ilia, Kirk, Jane, Lin, Che-Jen, Lehnherr, Igor, Mason, Robert, McLagan, David, Muntean, Marilena, Rafaj, Peter, Roy, Eric M., Ryjkov, Andrei, Selin, Noelle E., De Simone, Francesco, Soerensen, Anne L., Steenhuisen, Frits, Travnikov, Oleg, Wang, Shuxiao, Wang, Xun, Wilson, Simon, Wu, Rosa, Wu, Qingru, Zhang, Yanxu, Zhou, Jun, Zhu, Wei, Zolkos, Scott | Land Use/Land Cover Classification | |
| The UFLUX ensemble of multiple-scale carbon, water, and energy fluxes | Zhu, Songyan, Xu, Jian, Zeng, Jingya, Bao, Shanning, Chen, Yumeng, Shi, Shuaiyi, Zheng, Zhonghua, Dong, Wenquan, Wang, Yapeng, Shi, Jiancheng | Land Use/Land Cover Classification | |
| The Process-Cognizant Vegetation Drought Model (PCVDM): Analyzing | Zhang, Zhimei, Jiao, Zhijun, Wu, Lixin | Land Use/Land Cover Classification, Reflectance, Emissivity, Land Surface Temperature | |
| the SESaME Human-Earth atlas | Faisal, Abdullah Al, Kaye, Maxwell, Ahmed, Maimoonah, Galbraith, Eric D. | Heat Flux, Air Temperature, Skin Temperature, Specific Humidity, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, AEROSOL ABSORPTION, UV Aerosol Index, Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Biomass, Forests, Grasslands, Alpine/Tundra | |
| The Speciated isoprene emission model with the MEGAN algorithm for China | Xi, Shengjun, Wang, Yuhang, Yuan, Xiangyang, Feng, Zhaozhong, Zhao, Fanghe, Zhang, Yanli, Wang, Xinming | Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Leaf Characteristics, Photosynthetically Active Radiation, Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Vegetation Cover | |
| The relative productivity index: Mapping human impacts on rangeland | Lomax, Guy A., Powell, Thomas W.R., Lenton, Timothy M., Cunliffe, Andrew M. | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI) | |
| Sustainable Water Management Using Rainfall-Runoff Modelling in Rift Valley Basin, East Africa | Yoshe, Agegnehu Kitanbo | Land Use/Land Cover Classification | |
| Spatiotemporal variation in potential gosling development windows across Mongolian Plateau in relation to climate change | Zhang, Junjian, Zhang, Yong, Damba, Iderbat, Batbayar, Nyambayar, Xu, Zhenggang, Cao, Lei, Fox, Anthony David | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Emissivity, Land Surface Temperature | |
| Spatiotemporal Variations and Key Driving Factors of Dust Storms in | Tan, Chenghao, Liu, Chong, Li, Tian, Liu, Xiali, Tang, Mingjin, Zhao, Tianliang | Land Use/Land Cover Classification | |
| Spatiotemporal Variations in Compound Extreme Events and Their Cumulative and Lagged Effects on Vegetation in the Northern Permafrost Regions from 1982 to 2022 | Dong, Yunxia, Liu, Guimin, Wu, Xiaodong, Wang, Lin, Xu, Haiyan, Yang, Sizhong, Wu, Tonghua, Abakumov, Evgeny, Zhao, Jun, Cui, Xingyuan, Shao, Meiqi | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatiotemporal variations of extreme climate and their effects on vegetation growth in the northern permafrost regions during 19822022 | Dong, Yunxia, Liu, Guimin, Wu, Xiaodong, Wang, Lin, Yang, Sizhong, Wu, Tonghua, Xu, Haiyan, Abakumov, Evgeny, Zhao, Jun, Cui, Xingyuan, Shao, Meiqi | Land Use/Land Cover Classification | |
| Spatiotemporal Vegetation Dynamics, Forest Loss, and Recovery: | Ignatius, Amber R., Annis, Ashley N., Helton, Casey A., Reeb, Alec W., Ricke, Dylan F. | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Plant Characteristics, Plant Phenology, Vegetation Cover, Vegetation Index | |
| 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, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Topographical Relief Maps, Land Surface Temperature, Emissivity | |
| 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 | |
| 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 | |
| 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 |