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 |
|---|---|---|---|
| Radiative forcing reduced by early twenty-first century increase in land albedo | Hou, Zhengyang, Zhang, Liqiang, Peng, Jingjing, Forzieri, Giovanni, Jia, Aolin, Xiao, Zhiqiang, Qu, Ying, Lin, Jintai, Ji, Duoying, Zhu, Zidong, Yao, Xin, Peng, Shuwen, Zhao, Lanpu, Fan, Wenjie, Wu, Zhaocong, Geng, Hao, Wang, Qihao, Zhou, Chenghu, Liu, Suhong, Zhang, Liangpei | Land Use/Land Cover Classification, Reflectance, Albedo, Anisotropy, Albedo, Snow Cover | |
| Quantifying the impact of different precipitation data sources on | Bao, Qingling, Ding, Jianli, Wang, Jinjie | Land Use/Land Cover Classification | |
| Re-Intensification of Seafalling Tropical Cyclones | Tsui, Enoch Yan Lok, Toumi, Ralf | Land Use/Land Cover Classification | |
| Quantifying the Rate and Extent of Urbanization Effects on Vegetation Phenology in Mainland China | Qu, Yiming, Penuelas, Josep, Yu, Zhizhi, Zeng, Xiang, Zhang, Ye, He, Yanjin, Wu, Youtu, Wang, Jing | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Quantifying Uncertainty in Projections of Desertification in Central Asia Using Bayesian Networks | Liu, Jinping, Ren, Yanqun, He, Panxing, Xiao, Jianhua | Population Density, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Monitoring spatio-temporal changes in land use, land cover, and NDVI using MODIS data in Ethiopia's Gambela region | Bojago, Elias, Tadila, Gemechu, Masha, Mamush | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Nonlinear influences of climatic, vegetative, geographic and soil factors on soil water use efficiency of global karst landscapes: Insights from explainable machine learning | Li, Chao, Zhang, Shiqiang, Ding, Yongjian, Ma, Siyu, Gong, Hanying | Land Use/Land Cover Classification | |
| Observed Changes in Maximum and Minimum Temperatures and Daily | Corell, David, Estrela, Maria Jose, Miro, Juan Javier, OrgambidesGarcia, David, Niclos, Raquel | Land Use/Land Cover Classification | |
| Multi-layer retrieval of aerosol optical depth in the troposphere using | Pashayi, Maryam, Satari, Mehran, Momeni Shahraki, Mehdi | Land Use/Land Cover Classification | |
| Nighttime lights reveal substantial spatial heterogeneity and inequality in post-hurricane recovery | Zheng, Qiming, Zeng, Yiwen, Zhou, Yuyu, Wang, Zhuosen, Mu, Te, Weng, Qihao | Land Use/Land Cover Classification | |
| MVeLMA: Multimodal Vegetation Loss Modeling Architecture for Predicting Post-fire Vegetation Loss | Ravi, Meenu, Sarkar, Shailik, Sun, Yanshen, Singh, Vaishnavi, Lu, Chang-Tien | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Multifactor Spatial Downscaling of Satellite Precipitation Based on Vegetation Index and Elevation | Zeng, Zhaozhao, Peleg, Nadav, Chen, Haonan, Zhuo, Li | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Total Surface Precipitation Rate | |
| MultiHorizon Active Layer Thickness Prediction Across CircumArctic Permafrost Regions Using Geospatial Machine Learning | Ahajjam, Aymane, Wilcox, Andrew, Soaper, Mary, Chance, Robert, Pasch, Timothy | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Monitoring the Impacts of Human Activities on Groundwater Storage Changes Using an Integrated Approach of Remote Sensing and Google Earth Engine | Chaleshtori, Sepide Aghaei, Aliabad, Omid Ghaffari, Fallatah, Ahmad, Faisal, Kamil, Shirali, Masoud, Saei, Mousa, Lacava, Teodosio | Land Use/Land Cover Classification | |
| Monitoring vegetation dynamics across land use types in Iran: | Behroozeh, Sepideh, Khoorani, Asadollah, Damaneh, Hadi Eskandari, Jokar Arsanjani, Jamal | Land Use/Land Cover Classification | |
| Multiscale analysis of existing actual evapotranspiration products over | Etchanchu, Jordi, Demarty, Jerome, Dezetter, Alain, Farhani, Nesrine, Thiam, Pape Biteye, Allies, Aubin, Bodian, Ansoumana, Boulet, Gilles, Chahinian, Nanee, Diop, Lamine, Mainassara, Ibrahim, Ndiaye, Pape Malick, Ollivier, Chloe, Olioso, Albert, Roupsard, Olivier | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Infiltration, Soil Infiltration, 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), Land Use/Land Cover Classification | |
| Spatiotemporal coordination and imbalance between urbanization and eco-environmental quality: a global remote sensing perspective | Xu, Zhen-Yuan, Sun, Zhuo-Yang, Zhu, Xiaoqing, Xu, Dong | Land Use/Land Cover Classification, Reflectance, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatiotemporal dynamics and drivers of algal blooms in chinese lakes: A multi-phenological index analysis | Yang, Yufeng, Gao, Wei, Zhang, Yuan, Li, Feilong, Guo, Fen | Land Use/Land Cover Classification | |
| Spatiotemporal Dynamics and Drivers of Vegetation Carbon Sinks in | Xu, Juntao, Thi Hang, Nguyen, Ran, Mengqi, Kong, Junqia | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatiotemporal Dynamics and Transboundary Differences in Fractional Vegetation Cover in the Red River Basin from 2000 to 2023 | Zhang, Yiwei, Mao, Jintao, Zhang, Yun, Zhou, Bailan, Qiu, Zejian, Dong, Yifan, Zhong, Ronghua | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatiotemporal Dynamics of Active Fire in China (20032024): Regional Patterns and Land Cover Associations | Wang, Wannan, Wang, Chunjiao | Land Use/Land Cover Classification | |
| Spatiotemporal dynamics of fractional vegetation cover and its relationship with climatic factors in the Yarkand River Basin | Qin, Guoqiang, Yuan, Kai, Ding, Guoliang, Guo, Qiang, Wang, Runbo | Land Use/Land Cover Classification | |
| Spatiotemporal Fire Patterns and Post-fire Forest Change in Peru | Mostiga, Maricel, Armenteras, Dolors, Vayreda, Jordi, Retana, Javier | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Spatiotemporal Footprints of Surface Urban Heat Islands in the Urban Agglomeration of Yangtze River Delta During 20002022 | Du, Yin, Xie, Jiachen, Xie, Zhiqing, Wang, Ning, Zhang, Lingling | Land Use/Land Cover Classification | |
| The Multi-Compartment Hg Modeling And Analysis Project (Mchgmap): Mercury Modeling To Support International Environmental Policy | Dastoor, Ashu, Angot, Helene, Bieser, Johannes, Brocza, Flora, Edwards, Brock, Feinberg, Aryeh, Feng, Xinbin, Geyman, Benjamin, Gournia, Charikleia, He, Yipeng, Hedgecock, Ian M., Ilyin, Ilia, Kirk, Jane, Lin, Che-Jen, Lehnherr, Igor, Mason, Robert, McLagan, David, Muntean, Marilena, Rafaj, Peter, Roy, Eric M., Ryjkov, Andrei, Selin, Noelle E., De Simone, Francesco, Soerensen, Anne L., Steenhuisen, Frits, Travnikov, Oleg, Wang, Shuxiao, Wang, Xun, Wilson, Simon, Wu, Rosa, Wu, Qingru, Zhang, Yanxu, Zhou, Jun, Zhu, Wei, Zolkos, Scott | Land Use/Land Cover Classification |