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
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| First quasi-global soil moisture retrieval using Fengyun-3 GNSS-R | Yang, Wentao, Guo, Fei, Zhang, Xiaohong, Zhu, Yifan, Li, Zheng, Zhang, Zhiyu | Land Use/Land Cover Classification | |
| Feasibility of L-band Sharpening with C-band using SMAP and AMSR Radiometry Data for Future Application to CIMR | Zhang, Michelle S., AlNasser, Faisal, Piles, Maria, Entekhabi, Dara | Land Use/Land Cover Classification, Brightness Temperature | |
| Fire emission abatement potential by shifting fire regimes in global savannas: a reassessment using the fifth version of the Global Fire Emissions Database (GFED5) | Vernooij, Roland, Eames, Tom, van Wees, Dave, Chen, Yang, Randerson, James T., Russell-Smith, Jeremy, Yates, Cameron, van der Werf, Guido R. | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Extended Gap Between Snowmelt and Greenup Increases Dust Storm Occurrence | Yang, Lu, Peng, Shushi, Zhu, Dan | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Albedo, Snow Cover | |
| Flash drought impacts on global ecosystems amplified by extreme heat | Gu, Lei, Schumacher, Dominik L., Fischer, Erich M., Slater, Louise J., Yin, Jiabo, Sippel, Sebastian, Chen, Jie, Liu, Pan, Knutti, Reto | 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, Snow Cover | |
| 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 | |
| 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, Plant Phenology, Enhanced Vegetation Index (EVI), Root Zone Soil Moisture, Surface Soil Moisture | |
| 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 | |
| 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 | |
| Exploiting the modified surface energy balance system (mSEBS) model and | Wang, Linjiang, Wei, Zheng, Zhang, Baozhong, Wang, Yaqi, Zhang, Xiaotao, Chen, Aiqi | Land Use/Land Cover Classification | |
| Exploring potential environmental drivers of migration phenology in two Mongolian Plateau-nesting goose species | Zhang, Junjian, Li, Xianghuang, Deng, Xueqin, Damba, Iderbat, Batbayar, Nyambayar, Xu, Zhenggang, Zhang, Yong, Cao, Lei, Fox, Anthony David | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| Evaluation of the performance of multiple reanalysis forcing data in | Xie, Yuxuan, Kong, Dongdong, Zhang, Yongqiang, Zhong, Yulong, Ma, Ning, Gong, Rouyan, Ci, Hui, Xiao, Mingzhong, Gu, Xihui | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Emissivity, Albedo, Anisotropy, 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 | |
| Estimating biomass consumption and carbon emissions by integrating GEDI | Cui, Liang, Xu, Xitong, Chen, Shengbo | Land Use/Land Cover Classification, Biomass, Carbon, Forests | |
| Estimating carbon fluxes over North America using a physics-constrained deep learning model | Fan, Bin, Zhang, Hankui K., Li, Zhongbin B., Xiao, Jingfeng, Che, Xianghong, Liu, Zhihua, Camps-Valls, Gustau, Chen, Jing M. | Land Use/Land Cover Classification, Reflectance, Anisotropy | |
| Estimating emissions of biogenic volatile organic compounds from urban green spaces and their contributions to secondary pollution | Ma, Jinlong, Wang, Shuai, Chen, GuoChao, Zhu, Shengqiang, Wang, Peng, Chen, Jianmin, Zhang, Hongliang | 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 | |
| Enhanced Carbon Flux Forecasting via STL Decomposition and Hybrid ARIMA-ES-LSTM Model in Amazon Forest | Dias, Jean A. C., Guimaraes, Pedro H. Do V., Pereira, Williane G. S., Tamasauskas, Leonardo De O., Gomes, Marivan S., Correa, Alan B. S., Figueiredo, Karla, Costa, Gilson, Costa, Gabriel Brito, Costa, Fernando A. R., Seruffo, Marcos C. Da R. | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, 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 | |
| Estimating global anthropogenic CO2 emissions through satellite observations | He, Jia, Huang, Bo | Land Use/Land Cover Classification | |
| Global validation of the Particulate Observing Scanning Polarimeter | Ji, Zhe, Li, Zhengqiang, de Leeuw, Gerrit, Zhang, Zihan, Ma, Yan, Shi, Zheng, Fan, Cheng, Yao, Qian | Land Use/Land Cover Classification | |
| Greenspace mitigates the global disease and economic burdens of non-communicable diseases | Qiu, Hui-Ling, Xie, Yu-Ting, Zhou, Gang-Long, Zhu, Shi-Fu, Zhao, Tianyu, Heinrich, Joachim, Bloom, Michael S., Huang, Wen-Zhong, Lau, Sam S.S., Zhang, Yi-Dan, Li, Jia-Xin, Wang, Lu, Zhu, Xiao-Qi, Jiang, Jian-Cheng, Lin, Shao, Zou, Xiao-Guang, Li, Li, Dong, Guang-Hui, Fan, Shu-Jun, Yang, Bo-Yi | 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 |