N: 90 S: -90 E: 180 W: -180
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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
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Global biomass burning fuel consumption and emissions at 500 m spatial resolution based on the Global Fire Emissions Database (GFED) | van Wees, Dave, van der Werf, Guido R., Randerson, James T., Rogers, Brendan M., Chen, Yang, Veraverbeke, Sander, Giglio, Louis, Morton, Douglas C. | Photosynthesis, Primary Production, Vegetation Productivity, Photosynthetically Active Radiation, Leaf Area Index (LAI), Leaf Characteristics, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Vegetation Cover, Land Use/Land Cover Classification, Reflectance, Total Surface Water, Plant Phenology, Enhanced Vegetation Index (EVI), Biomass, Forests, Carbon, Burned Area, Terrain Elevation, Plant Characteristics, Soil Moisture/Water Content, Vegetation Species, Soil Depth | |
| Global 1 km x 1 km gridded revised real gross domestic product and | Chen, Jiandong, Gao, Ming, Cheng, Shulei, Hou, Wenxuan, Song, Malin, Liu, Xin, Liu, Yu | Land Use/Land Cover Classification | |
| Global estimates of 500 m daily aerodynamic roughness length from MODIS data | Peng, Zhong, Tang, Ronglin, Jiang, Yazhen, Liu, Meng, Li, Zhao-Liang | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Generating high-accuracy and cloud-free surface soil moisture at 1 km resolution by point-surface data fusion over the Southwestern U.S | Huang, Shuzhe, Zhang, Xiang, Chen, Nengcheng, Ma, Hongliang, Zeng, Jiangyuan, Fu, Peng, Nam, Won-Ho, Niyogi, Dev | Land Use/Land Cover Classification, Reflectance, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Land Surface Temperature, Emissivity | |
| Generating hourly continuous evapotranspiration using Fengyun2F geostationary satellite data | Geng, Xiaozhuang, Li, Boyang, Pan, Xiaoduo, Wei, Zhihao, Yang, Xuebin, Liao, Kuo, Cui, Yaokui | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Imported dengue case numbers and local climatic patterns are associated with dengue virus transmission in Florida, USA | Stephenson, Caroline, Coker, Eric, Wisely, Samantha, Liang, Song, Dinglasan, Rhoel R., Lednicky, John A. | Land Use/Land Cover Classification | |
| Impacts of large-scale refugee resettlement on LCLUC: Bidi Bidi refugee settlement, Uganda case study | Nakalembe, Catherine, Zubkova, Maria, Hall, Joanne V, Argueta, Fernanda, Giglio, Louis | Land Use/Land Cover Classification | |
| Improved detection of abrupt change in vegetation reveals dominant fractional woody cover decline in Eastern Africa | Abera, Temesgen Alemayehu, Heiskanen, Janne, Maeda, Eduardo Eiji, Hailu, Binyam Tesfaw, Pellikka, Petri K.E. | Reflectance, Anisotropy, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Population Density, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Improved forest cover mapping by harmonizing multiple land cover | Meng, Shili, Pang, Yong, Huang, Chengquan, Li, Zengyuan | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Improved identification of cotton cultivated areas by applying instance-based transfer learning on the time series of MODIS NDVI | Xun, Lan, Zhang, Jiahua, Yao, Fengmei, Cao, Dan | Land Use/Land Cover Classification, Reflectance | |
| Impacts of burn severity on short-term postfire vegetation recovery, surface albedo, and land surface temperature in California ecoregions | Rother, David E., De Sales, Fernando, Stow, Doug, McFadden, Joe | Albedo, Anisotropy, Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Impacts of Changes in Land Use and Land Cover Between 2001 and 2018 on Summertime O3 Formation in North China Plain and Surrounding AreasA Case Study | Yu, Jiaoyang, Zhou, Weijian, Wu, Jiarui, Li, Xia, Liu, Suixin, Wang, Ruonan, Liu, Lang, Jiang, Qian, Tie, Xuexi, Li, Guohui | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Improving a comprehensive remote sensing drought index (CRSDI) in the | Shojaei, Shima, Rahimzadegan, Majid | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Impacts of sub-grid topographic representations on surface energy balance and boundary conditions in the E3SM land modelA case study in Sierra Nevada | Hao, Dalei, Bisht, Gautam, Huang, Meng, Ma, PoLun, Tesfa, Teklu, Lee, WeiLiang, Gu, Yu, Leung, L. Ruby | Photosynthesis, Primary Production, Vegetation Productivity, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Albedo, Anisotropy, Evapotranspiration, Latent Heat Flux, Land Use/Land Cover Classification | |
| Increased interception induced by vegetation restoration counters ecosystem carbon and water exchange efficiency in China | Shao, Rui, Shao, Weiwei, Gu, Chunjie, Zhang, Baoqing | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Incorporating satellite remote sensing for improving potential habitat simulation of Prosopis Cineraria in United Arab Emirates | Kalarikkal, Remya Kottarathu, Kim, Youngwook, Ksiksi, Taoufik | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Plant Phenology, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Surface Temperature, Emissivity, Land Use/Land Cover Classification | |
| Global pattern of ecosystem respiration tendencies and its implications on terrestrial carbon sink potential | Yu, Peixin, Zhou, Tao, Luo, Hui, Liu, Xia, Shi, Peijun, Zhang, Yajie, Zhang, Jingzhou, Zhou, Peifang, Xu, Yixin | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global simulation of fine resolution land use/cover change and estimation of aboveground biomass carbon under the shared socioeconomic pathways | Zeng, Li, Liu, Xiaoping, Li, Wenhao, Ou, Jinpei, Cai, Yiling, Chen, Guangzhao, Li, Manchun, Li, Guangdong, Zhang, Honghui, Xu, Xiaocong | Land Use/Land Cover Classification | |
| Global trends in grassland carrying capacity and relative stocking density of livestock | Piipponen, Johannes, Jalava, Mika, de Leeuw, Jan, Rizayeva, Afag, Godde, Cecile, Cramer, Gabriel, Herrero, Mario, Kummu, Matti | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Global GOSAT, OCO-2, and OCO-3 solar-induced chlorophyll fluorescence datasets | Doughty, Russell, Kurosu, Thomas P., Parazoo, Nicholas, Kohler, Philipp, Wang, Yujie, Sun, Ying, Frankenberg, Christian | Atmospheric Carbon Dioxide, Solar Induced Fluorescence, Land Use/Land Cover Classification | |
| Global Land Cover Mapping Using Annual Clear-sky Composites from | Wang, Yuanyuan, Li, Guicai | Land Use/Land Cover Classification | |
| Development of China's first space-borne aerosol-cloud high-spectral-resolution lidar: retrieval algorithm and airborne demonstration | Ke, Ju, Sun, Yingshan, Dong, Changzhe, Zhang, Xingying, Wang, Zijun, Lyu, Liqing, Zhu, Wei, Ansmann, Albert, Su, Lin, Bu, Lingbing, Xiao, Da, Wang, Shuaibo, Chen, Sijie, Liu, Jiqiao, Chen, Weibiao, Liu, Dong | Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness, Infrared Radiance, REFLECTED INFRARED, Visible Radiance | |
| Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model | Ma, Han, Liang, Shunlin | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Reflectance | |
| Design and implementation of an efficient and cost effective deep feature learning model for rice yield mapping | Divakar, M. Sarith, Elayidom, M. Sudheep, Rajesh, R. | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Reflectance | |
| Development of a new index for automated mapping of ratoon rice areas using time-series normalized difference vegetation index imagery | LI, Bolun, PENG, Shaobing, SHEN, Runping, YANG, Zong-Liang, YAN, Xiaoyuan, LI, Xiaofeng, LI, Rongrong, LI, Chengye, ZHANG, Guangbin | Land Use/Land Cover Classification, Reflectance, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM) |