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 |
|---|---|---|---|
| Modelling Soil <SUP>13</SUP>C across the Tibetan Plateau Using | Zhou, T., College of Earth Science, Chengdu University of Technology, Chengdu 610059, China, Lai, Y. S., Yang, Z. H., Shi, Y. H., Luo, X. R., Liu, L., Yu, P., Chen, G., Cao, L. X., Fan, S. H., Cai, C. J., Sun, J., Chen, S. H., Lu, H. Y., Ma, X. L., Li, S. D., Tang, X. L. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Leaf Characteristics, Photosynthetically Active Radiation, Land Surface Temperature, Emissivity, Land Use/Land Cover Classification | |
| Modelling spatial patterns of forest fire occurrence in the Northwestern region of Vietnam | Pham Thanh, Trang, Chu, Thuan, Tran Quang, Bao | Land Use/Land Cover Classification | |
| Modelling vegetation phenology at six field stations within the US Great Plains: constructing a 38-year timeseries of GCC, VCI, NDVI, and EVI2 using PhenoCam ... | Burke, Morgen W. V., Rundquist, Bradley C., Caparo Bellido, Anai | Land Use/Land Cover Classification | |
| Modern pollen-vegetation coverage relationships and its application for Holocene vegetation reconstructions in the central Tianshan Mountains | Li, Xueyin, Sun, Aizhi, Yang, Yunpeng, Zhang, Dongliang, Wu, Shuangshuang | 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 | |
| Modeling wildland fire burn severity in California using a spatial Super Learner approach | Simafranca, Nicholas, Willoughby, Bryant, ONeil, Erin, Farr, Sophie, Reich, Brian J., Giertych, Naomi, Johnson, Margaret C., Pascolini-Campbell, Madeleine A. | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Reflectance, Land Use/Land Cover Classification, Evapotranspiration, Land Surface Temperature, Emissivity, Potential Evapotranspiration, Plant Characteristics | |
| Mapping of secondary forest age in China using stacked generalization | Zhang, Shaoyu, Xu, Hanzeyu, Liu, Aixia, Qi, Shuhua, Hu, Bisong, Huang, Min, Luo, Jin | Land Use/Land Cover Classification | |
| Mapping Shrub Biomass at 10 m Resolution by Integrating Field Measurements, Unmanned Aerial Vehicles, and Multi-Source Satellite Observations | Liu, Wenchao, Wang, Jie, Hu, Yang, Ma, Taiyong, Otgonbayar, Munkhdulam, Li, Chunbo, Li, You, Yang, Jilin | Land Use/Land Cover Classification | |
| Mapping specific groundwater nitrate concentrations from spatial data using machine learning: A case study of chongqing, China | Liang, Yuanyi, Zhang, Xingjun, Gan, Lin, Chen, Si, Zhao, Shandao, Ding, Jihui, Kang, Wulue, Yang, Han | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Minimizing uncertainties in climate projections and water budget reveals | Adeyeri, Oluwafemi E., Zhou, Wen, Ndehedehe, Christopher E., Wang, Xuan, Ishola, Kazeem A., Laux, Patrick | Land Use/Land Cover Classification | |
| Long-Term Satellite Monitoring of Various Types of Wildfires and Wildfire-Induced Emissions of Climate-Active Gases and Aerosols in Russia and in Its Large Regions | Bondur, V. G., Zima, A. L., Feoktistova, N. V. | Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Fire Ecology, Biomass Burning, Wildfires, Burned Area | |
| Long-term trends of vegetation greenness under different urban | Zhong, Qikang, Li, Zhe | Land Use/Land Cover Classification | |
| Interannual changes in atmospheric oxidation over forests determined from space | Shutter, Joshua D., Millet, Dylan B., Wells, Kelley C., Payne, Vivienne H., Nowlan, Caroline R., Abad, Gonzalo Gonzalez | Formaldehyde, Land Use/Land Cover Classification | |
| Interspecific competition shapes bird species' distributions along | Freeman, Benjamin G., Miller, Eliot T., StrimasMackey, Matthew | Land Use/Land Cover Classification | |
| Inversion of Aerosol Optical Depth: Incorporating Multimodel Approach | Sun, Xiaohu, Sun, Lin, Sun, Yu, Zhang, Jiarui, Fan, Xiaole, Ma, Chao | Land Use/Land Cover Classification | |
| Investigating the Relationship between Precipitation and Vegetation | Rousta, Iman, Shakiba, Fatemeh, Olafsson, Haraldur, Vargas, Edgar Ricardo Monroy, Siedliska, Anna, Krzyszczak, Jaromir | Land Use/Land Cover Classification | |
| Integrating multi-objective optimization and ecological connectivity to | Deleglise, Hugo, Justeau-Allaire, Dimitri, Mulligan, Mark, Espinoza, Jhan-Carlo, Isasi-Catala, Emiliana, Alvarez, Cecilia, Condom, Thomas, Palomo, Ignacio | Land Use/Land Cover Classification | |
| Integrating counts from rigorous surveys and participatory science to | Zhao, Qing, Latif, Quresh S., Nuse, Bryan L., Pavlacky, David C., Kilner, Christopher L., Ryder, T. Brandt, Latimer, Christopher E. | Land Use/Land Cover Classification, Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Vapor Pressure, Shortwave Radiation | |
| Improving global gross primary productivity estimation using two-leaf | Li, Zhilong, Jiao, Ziti, Gao, Ge, Guo, Jing, Wang, Chenxia, Chen, Sizhe, Tan, Zheyou, Zhao, Wenyu | Atmospheric Radiation, Longwave Radiation, Shortwave Radiation, Radiative Flux, Radiative Forcing, Surface Radiative Properties, Albedo, Emissivity, Cloud Properties, Cloud Fraction, Cloud Optical Depth/Thickness, Skin Temperature, Skin Temperature, Sea Surface Skin Temperature, Geopotential Height, Altitude, Surface 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, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Temperature, Soil Infiltration, Soil Infiltration, Soil Moisture/Water Content, Surface Soil Moisture, Root Zone Soil Moisture, Soil Moisture/Water Content, Evaporation, Surface Water, Runoff Rate, Average Flow, Average Flow, Precipitation, Snow/Ice, Snow Depth, Snow Melt, Snow/Ice Temperature, Leaf Area Index (LAI), Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification | |
| Improving River Routing Using a Differentiable Muskingum-Cunge Model and | Bindas, Tadd, Tsai, WenPing, Liu, Jiangtao, Rahmani, Farshid, Feng, Dapeng, Bian, Yuchen, Lawson, Kathryn, Shen, Chaopeng | Land Use/Land Cover Classification, Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| Increasing Optimum Temperature of Vegetation Activity Over the Past Four | Wang, Yiheng, Sarmah, Sangeeta, Singha, Mrinal, Chen, Weinan, Ge, Yong, Liang, Liyin L., Goswami, Santonu, Niu, Shuli | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation | |
| Influence of terrestrial nitrogen dynamics on mesoscale nearsurface meteorological fields | Cai, Xitian, Cao, Yeer, Zhang, Guo, Liang, Jingjing, Zheng, Hui, Li, Kai, Zeng, Zhenzhong, Dai, Yongjiu, Yang, ZongLiang | Land Use/Land Cover Classification, Primary Production, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Gross Primary Production (gpp), Reflectance | |
| Influence of Vegetation Phenology on the Temporal Effect of Crop | Lin, Yinghao, Fan, Tingshun, Wang, Dong, Cai, Kun, Liu, Yang, Wang, Yuye, Yu, Tao, Xu, Nianxu | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| Increasing drought sensitivity of plant photosynthetic phenology and | Wang, Yiheng, Tian, Dashuan, Xiao, Jingfeng, Li, Xing, Niu, Shuli | Land Use/Land Cover Classification | |
| Impact of boundary layer parameterizations on simulated seasonal | Barman, Neeldip, Gokhale, Sharad, Tiwari, Dewashish | Land Use/Land Cover Classification | |
| Human risk to tick encounters in the southeastern United States estimated with spatial distribution modeling | Butler, Rebecca A., Papes, Mona, Vogt, James T., Paulsen, Dave J., Crowe, Christopher, Trout Fryxell, Rebecca T. | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Emissivity, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Biomass, Litter Characteristics, Carbon, Forests, Runoff, Soil Texture, Photosynthesis, Primary Production, Vegetation Productivity, Evapotranspiration, Latent Heat Flux, Land Use/Land Cover Classification, Burned Area |