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 |
|---|---|---|---|
| Ecosystem leaf area, gross primary production, and evapotranspiration responses to wildfire in the Columbia River basin | Shi, Mingjie, McDowell, Nate, Huang, Huilin, Zahura, Faria, Li, Lingcheng, Chen, Xingyuan | Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Evapotranspiration, Latent Heat Flux | |
| Comparison of in Situ Plant Area Index and Remotely Sensed Leaf Area Index of Northeastern American Deciduous, Mixed, and Coniferous Forests for SMAPVEX19-22 | Cook, Christopher L., Bourgeau-Chavez, Laura, Bilt, Dorthea Vander, Miller, Mary Ellen, Kraatz, Simon, Cosh, Michael H., Kelly, Victoria R., Colliander, Andreas | Land Use/Land Cover Classification | |
| Comparison of three different satellite data on 2D flood modeling using HECRAS (5.0. 7) software and investigating the improvement ability of the RAS Mapper tool | Kaya, Yunus Ziya, Unes, Fatih | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Reforestation, Terrestrial Ecosystems, Permafrost, Rock Glaciers, Glacier Elevation/Ice Sheet Elevation, Glacier Motion/Ice Sheet Motion, Glacier Thickness/Ice Sheet Thickness, Glacier Topography/Ice Sheet Topography, Glaciers, Ice Sheets, Icebergs, Ice Deformation, Ice Depth/Thickness, Ice Edges, Ice Extent, Ice Floes, Ice Growth/Melt, Ice Roughness, Ice Temperature, Ice Types, Icebergs, Leads, Pack Ice, Polynyas, Reflectance, Sea Ice Motion, Ice Extent, Ice Growth/Melt, Ice Motion, Ice Velocity, Lake Ice, Permafrost, River Ice, Snow Cover, Landslides, Aeolian Landforms, Coastal Landforms, Fluvial Landforms, Glacial Landforms, Karst Landforms, Tectonic Landforms, Landscape Ecology, Landscape Patterns, Landscape Processes, Reforestation, Surface Roughness, Topographic Effects, Barrier Islands, Beaches, Deltas, Dunes, Estuaries, Fjords, Inlets, Lagoons, Mangroves, Marshes, Rocky Coasts, Shorelines, Wind Waves, Surface Winds, Ice Deformation, Ice Depth/Thickness, Ice Edges, Ice Extent, Ice Floes, Ice Roughness, Ice Types, Icebergs, Leads, Pack Ice, Polynyas, Sea Ice Motion, Glacial Landforms, Caldera, Cinder Cone, Faults, Folds, Geyser, Graben, Horst, Lava Dome, Lava Plain, Maar, Mountains, Plateau, Ridge, Rift Valley, Tuya, Volcano, Tectonic Landforms, Earthquakes, Plate Tectonics, Volcanic Activity, Glacier Elevation/Ice Sheet Elevation, Glacier Motion/Ice Sheet Motion, Glacier Topography/Ice Sheet Topography, Glaciers, Ice Sheets, Icebergs, Ice Extent, Ice Growth/Melt, Ice Motion, Ice Velocity, Lake Ice, Permafrost, River Ice | |
| Comparisons of forest mapping data sets in Sahel and their implications | Zhang, Tong, Liu, Ronggao, Liu, Yang, Wang, Guoqin, Chen, Jilong, Duan, Quan | Land Use/Land Cover Classification | |
| Comparison of Deep Learning Models for LAI Simulation and Interpretable | Yu, Junpo, Si, Yajun, Zhao, Wen, Zhou, Zeyu, Jin, Jiming, Yan, Wenjun, Shao, Xiangyu, Xu, Zhixiang, Gan, Junwei | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification | |
| Consistent global dataset on biodiversity intactness footprint of agricultural production from 2000 to 2020 | Nguyen, Can Trong, Vackarova, Davina, Weinzettel, Jan | Land Use/Land Cover Classification | |
| Decoding vegetation resilience: NDVI trends and climate impacts in Indian agriculture | Dharavath, Nagaraju, Goroshi, Sheshakumar | Land Use/Land Cover Classification | |
| Does log export ban policy a good strategy to fight deforestation? | Zerbo, Mouhamed | Land Use/Land Cover Classification | |
| Does within-biome drought sensitivity reflect patterns across biomes? | Hedberg, Sydney L., Dao, Phuong D., Knapp, Alan K. | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Maximum/Minimum Temperature, Precipitation Amount, Snow Water Equivalent, Vapor Pressure, Shortwave Radiation | |
| Estimating the impacts of increasing temperatures and the efficacy of | Buster, Grant, Cox, Jordan, Benton, Brandon N., King, Ryan N. | Land Use/Land Cover Classification, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Land Surface Temperature, Emissivity | |
| Estimating the variations and trends of surface skin temperature across the Indus River Basin | Rani, Seema, Singh, Subhash, Singh, Jyotsna, Tiwari, Purushottam, Mal, Suraj | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Evaluating climatic warming and the modulating effects of surface water and regional variables in western Bangladesh | Dastour, Hatef, Alam, Md. Mahbub, Dewan, Ashraf, Hassan, Quazi K. | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Evaluating Global and National Datasets in an Ensemble Approach to | Evans, Christine, Cherrington, Emil A., Carey, Lauren, Limaye, Ashutosh, Maharjan, Sajana, Nunez, Diego Incer, Anderson, Eric R., Herndon, Kelsey, Flores-Anderson, Africa I. | Land Use/Land Cover Classification | |
| Estimation of surface all-wave net radiation from MODIS data using deep | Li, Shaopeng, Jiang, Bo, Liang, Shunlin, Xiao, Xiongxin, Peng, Jianghai, Liang, Hui, Han, Jiakun, Yin, Xiuwan | Land Use/Land Cover Classification | |
| Environmental factors determining the distribution patterns of invasive Raphidiopsis raciborskii and R. mediterranea in central east Europe | Kokocinski, Mikoaj, Graco-Roza, Caio, Jasser, Iwona, Karosiene, Jurate, Kasperoviciene, Jurate, Kobos, Justyna, Koreiviene, Judita, Mankiewicz-Boczek, Joanna, Soininen, Janne, Szczurowska, Agnieszka | Land Use/Land Cover Classification | |
| Evaluating the Functional Realism of Deep Learning RainfallRunoff Models Using Catchment Hydrology Principles | Bayati, Ara, Ameli, Ali A., Razavi, Saman | Land Use/Land Cover Classification | |
| Evaluating the Performance of Land Use Products in Mountainous Regions: A Case Study in the Wumeng Mountain Area, China | Meng, Qianwen, Wang, Jiasheng, Yang, Kun, He, Yue, Xiao, Ling, Zhou, Hui | Land Use/Land Cover Classification | |
| Evaluating the Performance of Sentinel-1 SAR Derived Snow Depth | Bulovic, N., Johnson, F., Lievens, H., Shaw, T. E., McPhee, J., Gascoin, S., Demuzere, M., McIntyre, N. | Land Use/Land Cover Classification | |
| Evaluating rainfall estimates derived from soil moisture using soil hydraulic properties over the Korean Peninsula | Kim, Doyoung, Lee, Seulchan, Cho, Seongkeun, Kim, Daeha, Choi, Minha | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Land Use/Land Cover Classification | |
| Evaluation of modeled smoke plumes of wildfires in the Argentinian | Garcia Ferreyra, Maria Fernanda, Scavuzzo, Carlos Marcelo, Otero, Lidia Ana, Curci, Gabriele | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Digital mapping of peat thickness and carbon stock of global peatlands | Widyastuti, Marliana Tri, Minasny, Budiman, Padarian, Jose, Maggi, Federico, Aitkenhead, Matt, Beucher, Amelie, Connolly, John, Fiantis, Dian, Kidd, Darren, Ma, Yuxin, Macfarlane, Fraser, Robb, Ciaran, Rudiyanto, Setiawan, Budi I., Taufik, Muh | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Plant Phenology, Enhanced Vegetation Index (EVI), Stratigraphic Sequence, Digital Elevation/Terrain Model (DEM), Soil Depth, Sediments | |
| Direct and indirect effects of spring phenology on forest transpiration | Wang, Lvlv, She, Dunxian, Yang, Yuting, Meng, Lin, Xia, Jun | Land Use/Land Cover Classification | |
| Distribution and characteristics of lightning-ignited wildfires in boreal foreststhe BoLtFire database | Engle, Brittany, Bratoev, Ivan, Crowley, Morgan A., Zhu, Yanan, Senf, Cornelius | Land Use/Land Cover Classification, Land Surface/Agriculture Indicators, Plant Phenology, Vegetation Cover, Enhanced Vegetation Index (EVI) | |
| Disproportionately large impacts of wildland-urban interface fire emissions on global air quality and human health | Tang, Wenfu, Emmons, Louisa K., Wiedinmyer, Christine, Partha, Debatosh B., Huang, Yaoxian, He, Cenlin, Zhang, Junzhe, Barsanti, Kelley C., Gaubert, Benjamin, Jo, Duseong S., Zhang, Jun, Buchholz, Rebecca, Tilmes, Simone, Vitt, Francis, Granier, Claire, Worden, Helen M., Levelt, Pieternel F. | Population Density, Land Use/Land Cover Classification | |
| Divergent global land change scenarios from 2001 to 2019 | Peng, Siqi, Zhang, Xiao, Liu, Liangyun | Land Use/Land Cover Classification, Forest Management, Agriculture Production, Landscape Management, Land Use Classes, Land Use Classes |