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 |
|---|---|---|---|
| Comparison of Deep Learning Models for LAI Simulation and Interpretable | Yu, Junpo, Si, Yajun, Zhao, Wen, Zhou, Zeyu, Jin, Jiming, Yan, Wenjun, Shao, Xiangyu, Xu, Zhixiang, Gan, Junwei | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification | |
| Comparison of in Situ Plant Area Index and Remotely Sensed Leaf Area Index of Northeastern American Deciduous, Mixed, and Coniferous Forests for SMAPVEX19-22 | Cook, Christopher L., Bourgeau-Chavez, Laura, Bilt, Dorthea Vander, Miller, Mary Ellen, Kraatz, Simon, Cosh, Michael H., Kelly, Victoria R., Colliander, Andreas | Land Use/Land Cover Classification | |
| Comparative analysis of global urban land surface phenology between the | Yin, Peiyi, Li, Xuecao, Heiskanen, Janne, Pellikka, Petri | Land Use/Land Cover Classification | |
| Forest fires under the lens: needleleaf index-a novel tool for satellite image analysis | Amiri, Afshin, Soltani, Keyvan, Gumiere, Silvio Jose, Bonakdari, Hossein | Land Use/Land Cover Classification | |
| From rainforests to drylands: a context-specific framework for mapping land use and land cover dynamics in Northeast Brazil (20002020) | Ganem, Khalil Ali, Xue, Yongkang, Dutra, Andeise Cerqueira, Pareyn, Frans Germain Corneel, Shimabukuro, Yosio Edemir | Land Use/Land Cover Classification, Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Full Annual Cycle Drivers of Phenology in a Migratory Bird Reveal | Ralston, Rebecca J., Tonra, Christopher M. | Land Use/Land Cover Classification, Reflectance, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Firestorm in California: The new reality for wildland-urban interface regions | Amiri, Afshin, Gumiere, Silvio, Bonakdari, Hossein | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| 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 | |
| FreezeThaw Dynamics Reshape Climatic Control of Spring Phenology Across Northern Ecosystems | Wu, Shuai, Zhang, Yu, Guo, Kang, Luo, Geping, Han, Yonglong, Yan, Wei, Ma, Xiaofei | Land Use/Land Cover Classification, Emissivity, Land Surface Temperature, Freeze/Thaw | |
| From CarbonWater Diagnosis to Landscape Optimization: A New Framework for Sustainable Restoration in East Asian Karst | Pan, Yitong, Wang, Siyu, Fu, Wei, Li, Qian, Fan, Zhouyu | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| From Drought to Aridification: Land-Cover Fingerprints of a Drying Chile | Zambrano, Francisco, Vrieling, Anton, Meza, Francisco, DuranLlacer, Iongel, Fernandez, Francisco, VenegasGonzalez, Alejandro, Raab, Nicolas, Craven, Dylan | Land Use/Land Cover Classification, Evapotranspiration, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, Vegetation Productivity | |
| Future enhanced threshold effects of wildfire drivers could increase burned areas in northern mid-and high latitudes | Zhao, Hang, Zhang, Zhengxiang, Wang, Xin, Zhen, Shuo, Zhang, Hongyan, Bu, Zhao-Jun, Zhao, Jianjun, Guo, Xiaoyi, Wei, Kejiang, Dong, Long | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| GIS-based assessment of economically feasible off-grid mini-grids in Ethiopia | Temesgen, Adugnaw Lake, Bekele, Getachew | Land Use/Land Cover Classification | |
| Global 0.1-Degree Monthly Mean Hourly Total Canopy Solar-Induced Chlorophyll Fluorescence Dataset Derived from Random Forest | Liu, Yaojie, Zhao, Dayang, Zhang, Yongguang, Zhang, Zhaoying | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Global ``Climate Opportunity Benefit'' of Forest Regeneration: | Cooley, Savannah S., Moore, Elisabeth, Martinez, Jianna, Fahlen, Jocelyn, Maybach, Erin, Gollerkeri, Maya, Rao Vasa, Anjali, KouGiesbrecht, Sian, Huddell, Alexandra M., Norton, Linnea, CawseNicholson, Kerry, DeFries, Ruth, Uriarte, Maria, Menge, Duncan N. L. | Pasture, Land Use/Land Cover Classification | |
| Global agricultural lands in the year 2015 | Mehrabi, Zia, Tong, Kaitai, Fortin, Julie, Stanimirova, Radost, Friedl, Mark, Ramankutty, Navin | Land Use/Land Cover Classification | |
| Global air quality index prediction using integrated spatial observation data and geographics machine learning | Anggraini, Tania Septi, Irie, Hitoshi, Sakti, Anjar Dimara, Wikantika, Ketut | Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| 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 |