N: 90 S: -90 E: 180 W: -180
Description
The MCD12C1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MCD12C1 Version 6.1 data product.
The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Climate Modeling Grid (CMG) (MCD12C1) Version 6 data product provides a spatially aggregated and reprojected version of the tiled MCD12Q1 Version 6 data product. Maps of the International Geosphere-Biosphere Programme (IGBP), University of Maryland (UMD), and Leaf Area Index (LAI) classification schemes are provided at yearly intervals at 0.05 degree (5,600 meter) spatial resolution for the entire globe from 2001 to 2020. Additionally, sub-pixel proportions of each land cover class in each 0.05 degree pixel is provided along with the aggregated quality assessment information for each of the three land classification schemes.
Provided in each MCD12C1 Version 6 Hierarchical Data Format 4 (HDF4) file are layers for Majority Land Cover Type 1-3, Majority Land Cover Type 1-3 Assessment, and Majority Land Cover Type 1-3 Percent.
Known Issues
- Known issues are described on pages 3 and 4 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.
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File Naming Convention
The file name begins with the Product Short Name (MCD12C1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2003001), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2018053185458), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Foxtrot migration and dynamic over-wintering range of an Arctic raptor | Pokrovsky, Ivan, Curk, Teja, Dietz, Andreas, Fufachev, Ivan, Kulikova, Olga, Roler, Sebastian, Wikelski, Martin | Land Use/Land Cover Classification | |
| Highly consistent brightness temperature fundamental climate data record from SSM/I and SSMIS | Liu, Shi, Wu, Banghai, Zou, Cheng-Zhi, Wang, Yu | Land Use/Land Cover Classification, Atmospheric Water Vapor, Precipitation, Brightness Temperature | |
| Impact of different sources of precursors on an ozone pollution outbreak over Europe analysed with IASI+ GOME2 multispectral satellite observations and ... | Okamoto, Sachiko, Cuesta, Juan, Beekmann, Matthias, Dufour, Gaelle, Eremenko, Maxim, Miyazaki, Kazuyuki, Boonne, Cathy, Tanimoto, Hiroshi, Akimoto, Hajime | Land Use/Land Cover Classification, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds | |
| Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance | Norton, Alexander J., Bloom, A. Anthony, Parazoo, Nicholas C., Levine, Paul A., Ma, Shuang, Braghiere, Renato K., Smallman, T. Luke | Land Use/Land Cover Classification | |
| Revisiting biophysical impacts of greening on precipitation over the Loess Plateau of China using WRF with water vapor tracers | Liu, Yu, Ge, Jun, Guo, Weidong, Cao, Yipeng, Chen, Chaorong, Luo, Xing, Yang, Limei, Wang, Shiyao | Albedo, Anisotropy, Reflectance, Land Use/Land Cover Classification | |
| Revealing the Covariation of Atmospheric O2 and Pollutants in an Industrial Metropolis by Explainable Machine Learning | Liu, Xiaoyue, Wang, Li, Huang, Jianping, Wang, Yongqi, Li, Changyu, Ding, Lei, Lian, Xinbo, Shi, Jinsen | Land Use/Land Cover Classification | |
| Retrieving Precipitable Water Vapor Over Land From Satellite Passive | Xia, Xinran, Fu, Disong, Shao, Wei, Jiang, Rubin, Wu, Shengli, Zhang, Peng, Yang, Dazhi, Xia, Xiangao | Atmospheric Water Vapor, Precipitation, Land Use/Land Cover Classification | |
| Reconstruction of Global Long-Term Gap-Free Daily Surface Soil Moisture from 2002 to 2020 Based on a Pixel-Wise Machine Learning Method | Mi, Pei, Zheng, Chaolei, Jia, Li, Bai, Yu | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Reconstruction of Human-Induced Forest Loss in China during 1900-2000 | Zhang, Yanwen, Ding, Jiaqi, Wang, Yueyao, Zhang, Yajuan, Liu, Yinglu, Zhang, Lijin, Ariken, Muhadaisi, Wulan, Tuya, Huang, Wenli, Li, Yan, Li, Shuangcheng | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Projection of future fire emissions over the contiguous US using explainable artificial intelligence and CMIP6 models | Wang, Sally S.C., Leung, L. Ruby, Qian, Yun | Population Density, Population Estimates, Socioeconomics, Land Use/Land Cover Classification | |
| Operational AOD Retrieval at Subkilometer Resolution Using OceanSat-2 | Mishra, Manoj K., Misra, Arundhati, Kumar, Raj | Land Use/Land Cover Classification, Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Optical Depth/Thickness, Radiative Flux, Reflectance | |
| Spatiotemporal evolution of global long-term patterns of soil moisture | Lal, Preet, Shekhar, Ankit, Gharun, Mana, Das, Narendra N. | Land Use/Land Cover Classification | |
| Spatiotemporally consistent global dataset of the GIMMS Normalized Difference Vegetation Index (PKU GIMMS NDVI) from 1982 to 2022 | Li, Muyi, Cao, Sen, Zhu, Zaichun, Wang, Zhe, Myneni, Ranga B., Piao, Shilong | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatio-temporal changes in global root zone soil moisture from 1981 to | Luo, Xinrui, Li, Shaoda, Yang, Wunian, Liu, Liang, Shi, Yuehong, Lai, Yunsen, Yu, Peng, Yang, Zhihan, Luo, Ke, Zhou, Tao, Yang, Xin, Wang, Xiao, Chen, Shaohui, Tang, Xiaolu | Land Use/Land Cover Classification | |
| Upper Bounds of Maximum Land Surface Temperatures in a Warming Climate | Aminzadeh, Milad, Or, Dani, Stevens, Bjorn, AghaKouchak, Amir, Shokri, Nima | Land Use/Land Cover Classification, Carbon, Cation Exchange Capacity, Organic Matter | |
| Divergent effects of intensified precipitation on primary production in global drylands | Zhao, Huichen, Jia, Gensuo, Xu, Xiyan, Zhang, Anzhi, Wang, Hesong | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Divergent response of crops and natural vegetation to the record-breaking extreme precipitation event in 2020 modulated by topography | Chen, Jiuyi, Qiu, Bo, Guo, Weidong, Li, Lingfeng, Miao, Xin | Land Use/Land Cover Classification, Brightness Temperature, Surface Soil Moisture | |
| Earlier precipitation enhances dryland annual primary production | Zhao, Huichen, Jia, Gensuo, Xu, Xiyan, Zhang, Anzhi | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Convergence and divergence emerging in climatic controls of polynomial trends for northern ecosystem productivity over 20002018 | Zhang, Wenxin, Jin, Hongxiao, Jamali, Sadegh, Duan, Zheng, Wu, Mousong, Ran, Youhua, Ardo, Jonas, Eklundh, Lars, Jonsson, Anna Maria, Sun, Huaiwei, Hu, Guojie, Wu, Xiaodong, Yun, Hanbo, Wu, Qingbai, Fu, Ziteng, Yu, Kailiang, Tian, Feng, Tagesson, Torbern, Li, Xing, Xiao, Jingfeng | Land Use/Land Cover Classification, Albedo, Anisotropy, Reflectance | |
| Combination of Vegetation Indices and SIF Can Better Track Phenological | Zheng, Chen, Wang, Shaoqiang, Chen, Jing M., Chen, Jinghua, Chen, Bin, He, Xinlei, Li, Hui, Sun, Leigang | Land Use/Land Cover Classification | |
| Agricultural expansion dominates rapid increases in cropland fires in Asia | Xu, Chao, You, Chao | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Land Use/Land Cover Classification, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds | |
| All-sky surface and top-of-atmosphere shortwave radiation components estimation: Surface shortwave radiation, PAR, UV radiation, and TOA albedo | Leng, Wanchun, Wang, Tianxing, Wang, Gaofeng, Letu, Husi, Wang, Shiyao, Xian, Yuyang, Yan, Xuewei, Zhang, Ziqian | Land Use/Land Cover Classification | |
| A potential collapse of the Atlantic Meridional Overturning Circulation may stabilise eastern Amazonian rainforests | Nian, Da, Bathiany, Sebastian, Ben-Yami, Maya, Blaschke, Lana L., Hirota, Marina, Rodrigues, Regina R., Boers, Niklas | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| An Observational Constraint of VOC Emissions for Air Quality Modeling Study in the Pearl River Delta Region | Zhou, Beining, Guo, Hai, Zeren, Yangzong, Wang, Yu, Lyu, Xiaopu, Wang, Boguang, Wang, Hongli | Land Use/Land Cover Classification | |
| Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa | Tang, Wenfu, Emmons, Louisa K., Worden, Helen M., Kumar, Rajesh, He, Cenlin, Gaubert, Benjamin, Zheng, Zhonghua, Tilmes, Simone, Buchholz, Rebecca R., Martinez-Alonso, Sara-Eva, Granier, Claire, Soulie, Antonin, McKain, Kathryn, Daube, Bruce C., Peischl, Jeff, Thompson, Chelsea, Levelt, Pieternel | Land Use/Land Cover Classification, Biomass Burning, Halocarbons And Halogens, Trace Gases/Trace Species, Sulfur Compounds, Air Quality, Atmospheric Carbon Monoxide, Atmospheric Ozone, Non-methane Hydrocarbons/Volatile Organic Compounds, Fossil Fuel Burning, Industrial Emissions, Atmospheric Carbon Dioxide, Carbonaceous Aerosols, Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Optical Depth/Thickness, Radiative Flux, Reflectance |