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 |
|---|---|---|---|
| First global carbon dynamics from an observational and process-informed | Zhu, Songyan, Dong, Wenquan, Myrgiotis, Vasileios, Xu, Jian, Reyes-Munoz, Pablo, Gharun, Mana, Ma, Rui, Chen, Man, Dash, Jadu | Land Use/Land Cover Classification | |
| Evapotranspiration declines prolonged by deforestation and fire in South American biomes | Ahmad, Shahryar K., Holmes, Thomas R., Kumar, Sujay V., Lahmers, Timothy M., Konapala, Goutam, Getirana, Augusto, Nie, Wanshu, Liu, Pang-Wei, Hain, Christopher R., Locke, Kim A., Libonati, Renata | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Atmospheric Ozone, Sea Level Pressure, Surface Pressure, U/V Wind Components, U/V Wind Components, Potential Vorticity, Vertical Wind Velocity/Speed, Vertical Profiles, Upper Air Temperature, Air Temperature, Relative Humidity, Specific Humidity, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Altitude, Geopotential Height, Ozone Profiles, Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Commodity-driven deforestation doubles local warming from tropical forest loss | Smith, Callum, Baker, Jessica C A, Doggart, Nike H, Argles, Arthur P K, Robertson, Eddy, Chadwick, Robin, Adami, Marcos, Coelho, Caio A S, Spracklen, Dominick V | Land Use/Land Cover Classification, Albedo, Anisotropy, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Surface Temperature, Emissivity | |
| Phenophase-specific climate impacts and legacy effects govern autumn | Li, Yizhuo, Zhang, Yuan, Wang, Anzhi | Land Use/Land Cover Classification, Reflectance, Enhanced Vegetation Index (EVI) | |
| PeatDepth-ML: a global map of peat depth predicted using machine learning | Skye, Jade, Melton, Joe R., Goldblatt, Colin, Gallego-Sala, Angela, Garneau, Michelle, Winton, Scott | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, Vegetation Productivity, Normalized Difference Vegetation Index (NDVI), Vegetation Index, Brightness Temperature, Surface Soil Moisture | |
| Prediction of suitable habitat and spread of Leptoglossus occidentalis in East Asia | Miao, Lexing, Xia, Canwei | Land Use/Land Cover Classification | |
| Prediction to Prevention: Comparative Machine Learning Models for Early Intervention of Dactyloctenium radulans in Australia | Asaduzzaman, Md, Mandal, Mohammad Shamim Hasan, Koetz, Eric, Rahman, Azizur, Masum, Sheikh Muhammad | Land Use/Land Cover Classification | |
| Optimizing Soil Moisture-Runoff Coupling Strength With Remotely Sensed | Feng, Huihui, Zhou, Jianhong, Wu, Zhiyong, Dong, Jianzhi, Brocca, Luca, Zhao, Long, He, Hai, Fan, Hui | Carbon, Cation Exchange Capacity, Organic Matter, Land Use/Land Cover Classification, Surface Soil Moisture | |
| Modeling forest bird distributions with bioclimatic, forest composition, and GEDI fusion forest structure variables: the importance of ecoregional perspectives | Elliott, Lisa H, Vogeler, Jody C, Holbrook, Joseph D, Barry, Brent R, Vierling, Kerri T | Land Use/Land Cover Classification | |
| Multi-scale greening dynamics in Turkiye's Ecoregions (20012024): the effects of elevation and land cover on NDVI change tendencies | Isk, Fatih, Eraslan, Selim | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Multi-layer model requires accurate information of vertical structure to | Xie, Jiangliu, Yin, Gaofei, Lin, Shangrong, Xin, Xiaozhou, Zhang, Hu, Liu, Xinjie, Liu, Qinhuo, Verger, Aleixandre, Descals, Adria, Filella, Iolanda, Penuelas, Josep | Land Use/Land Cover Classification | |
| Nonlinear drivers of canopy and surface urban heat islands across China's climate zones: marginal and interaction effects from explainable machine learning | Wen, Cong, Mamtimin, Ali, Wang, Haitao, Wang, Yu, Liu, Haotong, Sayit, Hajigul, Song, Meiqi, Gao, Jiacheng, Aihaiti, Ailiyaer, Wulayin, Yisilamu, Yang, Fan, Zhou, Chenglong, Huo, Wen | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Nonlinear ElevationDependent Controls on Drought Responses of Vegetation Net Primary Production in the Central Himalayas | Wu, Jiujiang, Yang, Yanqing, Zhao, Junli, Ding, Tao, Zhao, Wei | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Land Use/Land Cover Classification | |
| Nonlinear impacts of urban size and vegetation cover on global surface | Jiang, Song, Zhao, Yongling, Zhao, Lei, Strebel, Dominik, Derome, Dominique, Urge-Vorsatz, Diana, Carmeliet, Jan, Peng, Jian | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Niche modelling reveals conservation challenges and priorities for the threatened Pampas Meadowlark in South American agroecosystems | Alvarez, A. G., La Sala, L. F., Cozzani, N. C., Tizon, F. R., Zalba, S. M. | Land Use/Land Cover Classification | |
| Protected areas influence fire regimes globally | Cardil, A., Rodrigues, M., Ascoli, D., Ortega, M., Quinones, T., Erdozain, M., Oliveras Menor, I., Spadoni, G.L., Ramirez, J., Molina, J.R., Mouillot, F., Silva, C.A., Mohan, M., Martinez-Bentue, C., de-Miguel, S. | Land Use/Land Cover Classification | |
| Projected impacts of climate change on malaria in Africa | Symons, Tasmin L., Moran, Alexander, Balzarolo, Ann, Vargas, Camilo, Robertson, Mairi, Lubinda, Jailos, Saddler, Adam, McPhail, Michael, Harris, Joseph, Rozier, Jennifer, Browne, Annie, Amratia, Punam, Bertozzi-Villa, Amelia, Bhatt, Samir, Cameron, Ewan, Golding, Nick, Smith, David L., Noor, Abdisalan M., Rumisha, Susan F., Palmer, Matthew D., Weiss, Daniel J., Desai, Naomi, Potere, David, Sukitsch, Nicholas, Woods, Wendy, Gething, Peter W. | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Quantifying the past and future hydrological consequences of climate | Parhoun, Yazdan, Banihashemi, Mohammad Ali, Nasseri, Mohsen | Land Use/Land Cover Classification | |
| Real-time generation of gap-free MODIS leaf area index product from 2000 | Zhang, Guodong, Ni, Yimin, Sun, Gang, Yin, Gaofei, Zhao, Wei, Ding, Anxin, Liu, Xinyan, Zhang, Yi, Hu, Jiangchuan, Li, Zongyan, Chen, Rui, Wang, Meilian, Verger, Aleixandre | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation | |
| Soil moisture buffers the impact of precipitation variability on ecosystem productivity | Wang, Huiqi, Bassiouni, Maoya, Kang, Yanghui, Rifai, Sami W., Gherardi, Laureano A., Ukkola, Anna, Keenan, Trevor F. | Brightness Temperature, Surface Soil Moisture, Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Soil moisture determines the maximum drought loss to vegetation in | Li, Zheng, Fu, Zhonghao, Zhao, Jiongchang, Liu, Bo, Makowski, David, Li, Shijia, Tan, Lu, Kurishbayev, Akylbek Kazhigulovich, Imanmadi, Duman, Aldiyarova, Ainura, Liu, Wenfeng | Land Use/Land Cover Classification | |
| Satellite-Based Fraction of Available Water Reveals Soil Moisture Deficits Preceding Major Wildfires | Goffin, Benjamin D., Fernandez, Alfonso, Etchanchu, Jordi, Fang, Bin, Lakshmi, Venkataraman | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Topographical Relief Maps, Plant Phenology, Enhanced Vegetation Index (EVI), Brightness Temperature, Surface Soil Moisture, SIGMA NAUGHT | |
| Satellite Monitoring of Wildfire Intensity and Emissions of Climate-Active Gases and Aerosols in the Russian Far East | Bondur, V. G., Feoktistova, N. V., Zima, A. L. | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Regionalized determinants of dryland forest gross primary productivity | Li, Xuan, Dong, Xiaoxue, He, Xiao, Chen, Ning, Zhao, Changming | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, Vegetation Productivity, Precipitation, Rain, Precipitation Amount, Precipitation Rate, Snow | |
| Remote Sensing-Based Assessment of Evapotranspiration and Crop Water Stress in the Volta Basin, 20002023 | Olawoyin, Rachel, Amoah, George Owusu, Danquah, Jones Abrefa | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity |