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 |
|---|---|---|---|
| Using explainable AI to diagnose the representation of environmental drivers in process-based soil organic carbon models | Wang, Lingfei, Abramowitz, Gab, Wang, Ying-Ping, Pitman, Andy, Ciais, Philippe, Goll, Daniel S. | Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale | Owusu, Afua, Kagone, Stefanie, Leh, Mansoor, Velpuri, Naga Manohar, Gumma, Murali Krishna, Ghansah, Benjamin, Thilina-Prabhath, Paranamana, Akpoti, Komlavi, Mekonnen, Kirubel, Tinonetsana, Primrose, Mohammed, Ismail | Land Use/Land Cover Classification | |
| A global assessment of the effects of solar farms on albedo, vegetation, and land surface temperature using remote sensing | Xu, Zhengjie, Li, Yan, Qin, Yingzuo, Bach, Eviatar | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Albedo, Anisotropy | |
| A global dataset of carbon pumping by the world's largest tropical rivers | Salerno, Luca, Giulio Tonolo, Fabio, Camporeale, Carlo | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| A Deep-Learning and Transfer-Learning Hybrid Aerosol Retrieval Algorithm | Fu, Disong, Shi, Hongrong, Gueymard, Christian A., Yang, Dazhi, Zheng, Yu, Che, Huizheng, Fan, Xuehua, Han, Xinlei, Gao, Lin, Bian, Jianchun, Duan, Minzheng, Xia, Xiangao | Land Use/Land Cover Classification | |
| A Consistency Analysis of Land Surface Temperatures Retrieved From | Zhong, Shouyi, Li, Hua, Bian, Zunjian, Liu, Qiang, Du, Yongming, Cao, Biao, Xiao, Qing | Land Use/Land Cover Classification | |
| A comprehensive assessment of climate change and anthropogenic effects on surface Water resources in the Lake Urmia Basin, Iran | Kazemi Garajeh, Mohammad, Akbari, Rojin, Aghaei Chaleshtori, Sepide, Shenavaei Abbasi, Mohammad, Tramutoli, Valerio, Lim, Samsung, Sadeqi, Amin | Land Use/Land Cover Classification | |
| A new framework for evaluating dust emission model development using dichotomous satellite observations of dust emission | Hennen, Mark, Chappell, Adrian, Webb, Nicholas P., Schepanski, Kerstin, Baddock, Matthew C., Eckardt, Frank D., Kandakji, Tarek, Lee, Jeffrey A., Nobakht, Mohamad, von Holdt, Johanna | Land Use/Land Cover Classification, Reflectance, Albedo, Anisotropy | |
| A New Machine-Learning-Based Calibration Scheme for MODIS Thermal | Xu, Jiafei, Liu, Zhizhao, Hong, Guan, Cao, Yunchang | Land Use/Land Cover Classification | |
| A new assessment framework to forecast land use and carbon storage under different SSP-RCP scenarios in China | Guo, Wei, Teng, Yongjia, Li, Jing, Yan, Yueguan, Zhao, Chuanwu, Li, Yongxing, Li, Xiang | Land Use/Land Cover Classification | |
| A machine learning approach for modeling the occurrence of the major intermediate hosts for schistosomiasis in East Africa | Tabo, Zadoki, Breuer, Lutz, Fabia, Codalli, Samuel, Gorata, Albrecht, Christian | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Land Use/Land Cover Classification | |
| A novel AMSR2 retrieval algorithm for global C-band vegetation optical depth and soil moisture (AMSR2 IB): Parameters' calibration, evaluation and inter-comparison | Wang, Mengjia, Ciais, Philippe, Frappart, Frederic, Tao, Shengli, Fan, Lei, Sun, Rui, Li, Xiaojun, Liu, Xiangzhuo, Wang, Huan, Wigneron, Jean-Pierre | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Temperature, Soil Moisture/Water Content, Land Use/Land Cover Classification, Photosynthetically Active Radiation, Leaf Area Index (LAI), Leaf Characteristics, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Water Content, Skin Temperature | |
| A novel approach for retrieving GPP of evergreen forest regions of India using random forest regression | Sarkar, Deep Prakash, Uma Shankar, B., Ranjan Parida, Bikash | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Adverse Effects of Ozone Pollution on Net Primary Productivity in the | Long, X., Han, Y., Wang, Q. Y., Li, X. K., Feng, T., Wang, Y. C., Wang, Y., Zhang, S. L., Han, Y. M., Li, G. H., Tie, X. X., Cao, J. J., Chen, Y. | Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Accurate and Efficient Numerical Simulation of Land Models Using SUMMA | Spiteri, Raymond J., Van Beusekom, Ashley E., Klenk, Kyle, Zolfaghari, Reza, Trim, Sean J., Knoben, Wouter J. M., Ireson, Andrew M., Clark, Martyn P. | Land Use/Land Cover Classification | |
| A performance evaluation of random forest, artificial neural network, and support vector machine learning algorithms to predict spatio-temporal land use-land cover ... | Mutale, Bwalya, Withanage, Neel Chaminda, Mishra, Prabuddh Kumar, Shen, Jingwei, Abdelrahman, Kamal, Fnais, Mohammed S. | Land Use/Land Cover Classification | |
| A Synoptic-Scale Comparison of Satellite Yukon River Mouth Temperature to In-Situ and Reanalysis Data During 20032020 | Spratt, Rachel, Vazquez, Jorge, Carroll, Dustin | Geopotential Height, Altitude, Surface Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Skin Temperature, Land Use/Land Cover Classification | |
| A systematic review of urban heat island and heat waves research (1991 - | Cheval, Sorin, Amihaesei, Vlad-Alexandru, Chitu, Zenaida, Dumitrescu, Alexandru, Falcescu, Vladut, Irasoc, Adrian, Micu, Dana Magdalena, Mihulet, Eugen, Ontel, Irina, Paraschiv, Monica-Gabriela, Tudose, Nicu Constantin | Land Use/Land Cover Classification | |
| A Sequence-to-Sequence Transformer Model for Satellite Retrieval of | Zhang, Luo, Gu, Haoran, Li, Zhengqiang, Liu, Zhenhai, Zhang, Ying, Xie, Yisong, Zhang, Zihan, Ji, Zhe, Li, Zhiyu, Yan, Chaoyu | Land Use/Land Cover Classification | |
| A novel framework for multiple thermokarst hazards risk assessment and controlling environmental factors analysis on the Qinghai-Tibet Plateau | Lou, Peiqing, Wu, Tonghua, Yin, Guoan, Chen, Jie, Zhu, Xiaofan, Wu, Xiaodong, Li, Ren, Yang, Sizhong | Land Use/Land Cover Classification, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Photosynthetically Active Radiation, Leaf Characteristics, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM) | |
| A QGIS Plugin for GIS-based Multicriteria Decision Analysis: an Application of Developing Alternative Future Land-Use Scenarios in Ghana | Chen, Changjie, Guo, Ziyi, Judge, Jasmeet | Land Use/Land Cover Classification | |
| A multi-variable calibration framework at the grid scale for integrating streamflow with evapotranspiration data to improve the simulation of distributed hydrological model | Guo, Xiao, Wu, Zhiyong, Fu, Guobin, He, Hai | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| A Multisource Data Approach for Change and Disturbance Mapping of Ontario's Clay Belt Towards More Accurate Carbon and Emissions Estimation | Ituen, Ima, Hu, Baoxin | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| An Unstructured Mesh Generation Tool for Efficient High-Resolution | Fan, Hanwen, Xu, Qingchen, Bai, Fan, Wei, Zhongwang, Zhang, Yonggen, Lu, Xingjie, Wei, Nan, Zhang, Shupeng, Yuan, Hua, Liu, Shaofeng, Li, XianXiang, Li, Xueyan, Dai, Yongjiu | Land Use/Land Cover Classification | |
| Analysis of desert locust (Schistocerca gregaria) suitability in Yemen: an integrated evaluation based on MaxEnt and spacetime cube approaches | Huang, Linsheng, Kong, Fanchu, Lu, Qibao, Huang, Wenjiang, Dong, Yingying, Zhao, Jinling, Shang, Juncheng, Zhang, Hansu | Land Use/Land Cover Classification, Reflectance, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps |