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 |
|---|---|---|---|
| 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 | |
| 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) | |
| 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 | |
| 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 | |
| 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 | |
| GIS-based assessment of economically feasible off-grid mini-grids in Ethiopia | Temesgen, Adugnaw Lake, Bekele, Getachew | Land Use/Land Cover Classification | |
| Human-perceived temperature changes linked to local climate zones under extreme hot and cold weathers: A study in the North China Plain | Li, Xiang, Luo, Ming, Li, Jianfeng, Wu, Sijia, Zhang, Hui, Huang, Ziwei, Wang, Qiuting, Cao, Wenyue, Tang, Yu, Wang, Xiaoyu | Land Use/Land Cover Classification | |
| Highly protected areas buffer against aridity thresholds in global drylands | Delgado-Baquerizo, Manuel, Eldridge, David J., Feng, Youzhi, Zhang, Jianwei, Guirado, Emilio | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| How does bias correction impact simulated drought characteristics by | Nguyen-Ngoc-Bich, Phuong, Le, Manh-Hung, Phan-Van, Tan, Ngo-Duc, Thanh, Tran-Bui-Anh, Tuan, Trinh-Tuan, Long, Ngo-Thi-Thanh, Huong, Pham-Tien, Dat, Tangang, Fredolin T., Juneng, Liew, Cruz, Faye, Chung, Jing Xiang, Dado, Julie, Santisirisomboon, Jerasorn, Bolten, John D., Lakshmi, Venkataraman | Land Use/Land Cover Classification | |
| Hydrological drivers of maize productivity: A new analytical framework | Zhang, Qichen, Shen, Xiaofang, Dong, Weihong, Su, Xiaosi, Wan, Yuyu, Lyu, Hang, Song, Tiejun | Precipitation, Rain, Precipitation Amount, Precipitation Rate, Snow, Land Use/Land Cover Classification, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, VEGETATION PRODUCTIVITY | |
| 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 | |
| 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) | |
| Generating high accuracy multi-layer soil moisture at daily scale in the black soil region of China | Chen, Liwen, Wang, Yangguang, Ren, Jingquan, Song, Haiqing, Zhang, Guangxin, Sun, Jingxuan, Wang, Lijun, Mu, Jia, Liu, Cong, Wang, Meiyu | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification | |
| Generating the 500 m Global Satellite Vegetation Productivity Phenology | Ren, Boyu, Cao, Yunfeng, Tian, Jiaxin, Liang, Shunlin, Yu, Meng | Land Use/Land Cover Classification, Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI) | |
| 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 | |
| Global-scale gap filling of satellite soil moisture products: Methods | Zhang, Chunlin, Zeng, Jiangyuan, Shi, Pengfei, Ma, Hongliang, Letu, Husi, Zhang, Xiang, Wang, Panshan, Bi, Haiyun, Rong, Jiaming | Land Use/Land Cover Classification | |
| Importance of N2O in greenhouse gas budgets of tropical peatlands | Parn, Jaan, Espenberg, Mikk, Soosaar, Kaido, Kasak, Kuno, Thayamkottu, Sandeep, Schindler, Thomas, Ranniku, Reti, Sohar, Kristina, Malaverri, Lizardo Fachin, Melling, Lulie, Mander, Ulo | Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Improved daily PM2.5 estimates in India reveal inequalities in recent enhancement of air quality | Kawano, Ayako, Kelp, Makoto, Qiu, Minghao, Singh, Kirat, Chaturvedi, Eeshan, Dahiya, Sunil, Azevedo, Ines, Burke, Marshall | Population Size, Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness | |
| Improved evapotranspiration estimation using the Penman-Monteith | Jawad, Muhammad, Behrangi, Ali, Farmani, Mohammad Ali, Qiu, Yuan, Sohi, Hossein Yousefi, Gupta, Aniket, Niu, Guo-Yue | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Evapotranspiration, Latent Heat Flux, Land Use/Land Cover Classification | |
| Improved global estimates of terrestrial evapotranspiration using the MODIS and VIIRS sensors | Endsley, K. Arthur, Zhao, Maosheng, Kimball, John S., Albrethsen, Tyler, Devadiga, Sadashiva | Albedo, Anisotropy, Land Use/Land Cover Classification, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Reflectance, Topographical Relief Maps, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) |