N: 90 S: -90 E: 180 W: -180
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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
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Habitat preferences, spatial distribution and current population status of endangered giant flower Amorphophallus titanum | Yudaputra, Angga, Fijridiyanto, Izu Andry, Yuzammi, Witono, Joko Ridho, Astuti, Inggit Puji, Robiansyah, Iyan, Hendrian, R., Hutabarat, Prima, Yuswandi, Ade Yusup, Raharjo, Puguh Dwi, Syartinilia, Cropper, Wendell P. | Land Use/Land Cover Classification | |
| Bidirectional drought-related canopy dynamics across pantropical | Liu, Liyang, Gong, Fanxi, Chen, Xiuzhi, Su, Yongxian, Fan, Lei, Wu, Shengbiao, Yang, Xueqin, Zhang, Jing, Yuan, Wenping, Ciais, Philippe, Zhou, Chenghu | Land Use/Land Cover Classification | |
| Canadian and Alaskan wildfire smoke particle properties, their evolution, and controlling factors, from satellite observations | Junghenn Noyes, Katherine T., Kahn, Ralph A., Limbacher, James A., Li, Zhanqing | 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, Geopotential Height, Atmospheric Ozone, Sea Level Pressure, Surface Pressure, Upper Air Temperature, Vertical Profiles, U/V Wind Components, Ozone Profiles, Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Assimilation of SMAP Products for Improving Streamflow Simulations over | Le, Manh-Hung, Nguyen, Binh Quang, Pham, Hung T., Patil, Amol, Do, Hong Xuan, Ramsankaran, RAAJ, Bolten, John D., Lakshmi, Venkataraman | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Assessing the accuracy of MODIS MCD64A1 C6 and FireCCI51 burned area products in Mediterranean ecosystems | Katagis, Thomas, Gitas, Ioannis Z. | Land Use/Land Cover Classification, Reflectance, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Land Surface Temperature, Surface Thermal Properties, THERMAL ANOMALIES | |
| Assessing the effects of climate variability and vegetation conversion on variations of net primary productivity in the mountainous area of North China | Wang, Dandan, Qin, Wei, Jia, Guodong, Shan, Zhijie, Hao, Meng | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Assessing the effects of end-members determination on regional latent heat flux simulation in trapezoidal framework based model | Chen, Han, Huang, Jinhui Jeanne, Dash, Sonam Sandeep, McBean, Edward, Li, Han, Zhang, Jiawei, Lan, Zhiqing, Gao, Junjie, Zhou, Ziqi | Land Use/Land Cover Classification | |
| Assessing Variations in Water Use Efficiency and Linkages with Land-Use | Sun, Huaiwei, Chen, Lin, Yang, Yong, Lu, Mengge, Qin, Hui, Zhao, Bingqian, Lu, Mengtian, Xue, Jie, Yan, Dong | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Air Temperature, Specific Humidity, Evapotranspiration, Wind Speed, Rain, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Cover, Snow Depth, Snow Water Equivalent, Runoff, Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Assessment and inter-comparison of multi-source high spatial resolution evapotranspiration products over Lancang-Mekong River Basin, Southeast Asia | Chen, Houbing, Gnanamoorthy, Palingamoorthy, Chen, Yaoliang, Mansaray, Lamin R., Song, Qinghai, Liao, Kuo, Shi, Aoni, Feng, Ganlin, Sun, Chenna | Land Use/Land Cover Classification | |
| Assessment of SMAP and SMOS soil moisture products using triple | Hu, Fengmin, Wei, Zushuai, Yang, Xining, Xie, Wenjun, Li, Yuanxi, Cui, Changlu, Yang, Beibei, Tao, Chongxin, Zhang, Wen, Meng, Lingkui | Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Assessment of spatial and temporal ecological environment quality under | Airiken, Muhadaisi, Zhang, Fei, Chan, Ngai Weng, Kung, Hsiang-te | Land Surface Temperature, Emissivity, Reflectance, Land Use/Land Cover Classification | |
| Community workflows to advance reproducibility in hydrologic modeling: Separating modelagnostic and modelspecific configuration steps in applications of large ... | Knoben, W. J. M., Clark, M. P., Bales, J., Bennett, A., Gharari, S., Marsh, C. B., Nijssen, B., Pietroniro, A., Spiteri, R. J., Tang, G., Tarboton, D. G., Wood, A. W. | Land Use/Land Cover Classification | |
| Large discrepancies of global greeningIndication of multi-source remote sensing data | Wang, Zhaoqi, Wang, Hong, Wang, Tongfang, Wang, Lina, Liu, Xiang, Zheng, Kai, Huang, Xiaotao | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Learning hierarchical Bayesian networks to assess the interaction effects of controlling factors on spatiotemporal patterns of fecal pollution in streams | Kim, TaeHo, Lee, DoYeon, Shin, Jihoon, Kim, YoungWoo, Cha, YoonKyung | Land Use/Land Cover Classification, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps | |
| Land use and cover changes on the Loess PlateauA comparison of six global or national land use and cover datasets | Sun, Wenyi, Ding, Xiaotong, Su, Jingbo, Mu, Xingmin, Zhang, Yongqiang, Gao, Peng, Zhao, Guangju | Land Use/Land Cover Classification | |
| Investigating the contrast diurnal relationship of land surface temperatures with various surface parameters represent vegetation, soil, water, and urbanization over Ahmedabad city in India | Mathew, Aneesh, P, Sarwesh, Khandelwal, Sumit | Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Land management explains the contrasting greening pattern across ChinaRussia border based on Paired Land Use Experiment approach | Chen, Tiexi, Dolman, Han, Sun, Zhanli, Zeng, Ning, Gao, Haiyang, Miao, Lijuan, Wei, Xueqiong, Li, Chaofan, Han, Qifei, Shi, Tingting, Wang, Guojie, Zhou, Shengjie, Liang, Chuanzhuang, Chen, Xin | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Land cover and latitude affect vegetation phenology determined from solar induced fluorescence across Ontario, Canada | Rogers, Cheryl A., Chen, Jing M. | Land Use/Land Cover Classification | |
| Land cover change and multiple remotely sensed datasets consistency in China | Wang, Hui, Cai, Liping, Wen, Xiaojin, Fan, Donglin, Wang, Yuejun | Land Use/Land Cover Classification | |
| Land cover change instead of solar radiation change dominates the forest GPP increase during the recent phase of the Shelterbelt Program for Pearl River | Zhang, Xiaoyu, Zhou, Yanlian, He, Wei, Ju, Weimin, Liu, Yibo, Bi, Wenjun, Cheng, Nuo, Wei, Xiaonan | Land Use/Land Cover Classification | |
| MODIS Vegetation Continuous Fields tree cover needs calibrating in tropical savannas | Adzhar, Rahayu, Kelley, Douglas I., Dong, Ning, George, Charles, Torello Raventos, Mireia, Veenendaal, Elmar, Feldpausch, Ted R., Phillips, Oliver L., Lewis, Simon L., Sonke, Bonaventure, Taedoumg, Herman, Schwantes Marimon, Beatriz, Domingues, Tomas, Arroyo, Luzmila, Djagbletey, Gloria, Saiz, Gustavo, Gerard, France | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Monitoring changes in global soil organic carbon stocks from space | Padarian, J., Stockmann, U., Minasny, B., McBratney, A.B. | Land Use/Land Cover Classification | |
| Modelling spatiotemporal trends in the frequency of genetic mutations | Hancock, Penelope A., Lynd, Amy, Wiebe, Antoinette, Devine, Maria, Essandoh, John, Watsenga, Francis, Manzambi, Emile Z., Agossa, Fiacre, Donnelly, Martin J., Weetman, David, Moyes, Catherine L. | Land Use/Land Cover Classification | |
| Predicting spatiotemporally-resolved mean air temperature over Sweden | Jin, Zhihao, Ma, Yiqun, Chu, Lingzhi, Liu, Yang, Dubrow, Robert, Chen, Kai | Land Use/Land Cover Classification, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Potential of NTFP Based Bioeconomy in Livelihood Security and Income Inequality Mitigation in Kashmir Himalayas | Peerzada, Ishtiyak Ahmad, Islam, Mohammad A., Chamberlain, James, Dhyani, Shalini, Reddy, Mohan, Saha, Somidh | Land Use/Land Cover Classification |