N: 90 S: -90 E: 180 W: -180
Description
The MCD12Q1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MCD12Q1 Version 6.1 data product.
The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type (MCD12Q1) Version 6 data product provides global land cover types at yearly intervals (2001-2020), derived from six different classification schemes listed in the User Guide. The MCD12Q1 Version 6 data product is derived using supervised classifications of MODIS Terra and Aqua reflectance data. The supervised classifications then undergo additional post-processing that incorporate prior knowledge and ancillary information to further refine specific classes.
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 Hierarchical Data Format 4 (HDF4) file.
Known Issues
- The "units" field is missing in the metadata, however, this information can be found in the table above or on page 5 of the User Guide.
- 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 (MCD12Q1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2003001), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h16v00), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2018144112435), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
DATA PRODUCT SPECIFICATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| A localized plant species-specific BVOC emission rate library of China established using a developed statistical approach based on field measurements | Han, Huijuan, Jia, Yanqi, Shi, Rende, Nie, Changliang, Kajii, Yoshizumi, Wu, Yan, Li, Lingyu | Land Use/Land Cover Classification | |
| A long-term (20002022), high-resolution (0.005) aboveground biomass dataset of global grasslands | Wu, Pinzhen, Sun, Qingling, Wang, Daju, Si, Jiahe, Li, Baolin, Zhao, Xuetong, Zhu, Siyu, Li, Yong, Chen, Xiuzhi, Yuan, Wenping | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Land Use/Land Cover Classification, Reflectance, Biomass, Forests, Grasslands, Alpine/Tundra | |
| A long-term daily 500 m snow cover extent product over China (19812000) | Shen, Yanlong, Wang, Xiaoyan, Zhu, Ruixiang, Liang, Shi, Che, Tao, Hao, Xiaohua | Land Use/Land Cover Classification | |
| A Global Assessment of Climate Change and Anthropogenic Effects on Changes in Streamflow | Yang, Ruting, Tang, Xiongpeng, Zhang, Silong, Gao, Chao, Liu, Yanli, Lu, Shuaifeng, Zhao, Fubo, Zhao, Bikui | Land Use/Land Cover Classification | |
| A high-resolution near-surface meteorological forcing dataset for arid Xinjiang (3DVAR-MF-XJ) | Xu, Yang, Zhang, Liang, Wang, Hui, Ning, Dongge, Bai, Mengxin, Cong, Xueping, Hao, Zhixin | Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Land Use/Land Cover Classification | |
| A hybrid machine learning model for flood prediction with recursive feature elimination informed by training performance | Gong, Liying, Woo, Wai Lok, Wu, Yue Ivan, Zheng, Xiujuan | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Total Surface Precipitation Rate | |
| A high performance assimilation of surface soil moisture based on a | Zhu, Shuang, Zha, Gang, Wang, Qi, Ma, Siyu, Qin, Hui | Land Use/Land Cover Classification | |
| A high-resolution (daily and 1 km) atmospheric moisture collection over the North China Plain during 20032020 | Su, Zhiying, Zhang, Hui, Li, Xiang, Wu, Sijia, Shi, Manqing, Luo, Ming | Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| Beyond Flat Classifiers: Practical methodologies for regionally accurate and relevant land use and land cover classification using Landsat and Sentinel data | Bansal, Chahat, Nandi, Ananjan, Ramachandran, Balakumaran, Dsouza, Craig, Mittal, Divyansh, Bajaj, Eashan, Kumar, Raman, Sachdeva, Sachit, Vishnubhatla, Saketh, Agarwal, Vatsal, Seth, Aaditeshwar | Land Use/Land Cover Classification | |
| Budyko scatter reveals interactions between wildfire, land cover change | Corak, Nicholas K., Barros, Ana P., Lowman, Lauren E.L. | Land Use/Land Cover Classification | |
| CADF-Net: A Conflict-Aware Adaptive Distillation Network for Fusing Multi-Source Land-Cover Products for Key Vegetation Classes in Cross-Border Regions | Zhang, Yubo, Fu, Long, Li, Zehong, Yang, Yuanyuan, Chen, Hongbing, Zhang, Shuwen | Land Use/Land Cover Classification, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Central Asia photovoltaic potential: Dust impacts and suitability | Gan, Ying, Zhang, Zhe, Li, Zhiyi, Luo, Ziheng | Land Use/Land Cover Classification | |
| Carbon dioxide removals by tropical moist forests offset most land-use emissions across 18 Afrotropical countries | Verbiest, William W. M., Bauters, Marijn, Lewis, Simon L., Meunier, Felicien, Smallman, Luke T., Ciais, Philippe, Bastin, Jean-Francois, Regnier, Pierre, Fayolle, Adeline, Gorel, Anais, Makana, Jean-Remy, Ewango, Corneille E. N., van der Woude, Auke, Feng, Liang, Jiang, Fei, Palmer, Paul I., Luijkx, Ingrid T., Ilondea, Bhely Angoboy, Ngomanda, Alfred, Toirambe, Benjamin, Feng, Yu, Hubau, Wannes | Land Use/Land Cover Classification | |
| Asymmetric climatic responses to permanent glacier and snow cover reduction over the Tibetan Plateau | BIAN, Zong-Zhen, CHEN, Shi-Hao, HAN, Xiao-Yu, MEN, Bao-Hui, WANG, Hong-Rui | Land Use/Land Cover Classification | |
| Comparative analysis of JRA-3Q and JRA-55 reanalysis datasets as forcing | Wei, Zixin, Bai, Fan, Wei, Zhongwang, Dai, Yongjiu | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Comparing modeled and measured carbon dioxide data at five canadian peatlands revealed highly variable non-growing season fluxes | Hettinga, E. Kathryn, Rezanezhad, Fereidoun, Persaud, Bhaleka D., Slowinski, Stephanie, Strack, Maria, Liu, Haojie, Lennartz, Bernd, Humphreys, Elyn, Wu, Jianghua, Skeeter, June, Knox, Sara H., Alcock, Haley, Sonnentag, Oliver, Detto, Matteo, Van Cappellen, Philippe | Land Use/Land Cover Classification, Fire Occurrence, Land Surface Temperature, THERMAL ANOMALIES, Root Zone Soil Moisture, Surface Soil Moisture, Gross Primary Production (gpp), Heterotrophic Respiration (rh), NET ECOSYSTEM CO2 EXCHANGE (NEE), Soil Organic Carbon (SOC) | |
| Commodity-driven deforestation doubles local warming from tropical forest loss | Smith, Callum, Baker, Jessica C A, Doggart, Nike H, Argles, Arthur P K, Robertson, Eddy, Chadwick, Robin, Adami, Marcos, Coelho, Caio A S, Spracklen, Dominick V | Land Use/Land Cover Classification, Albedo, Anisotropy, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Surface Temperature, Emissivity | |
| Characterizing windows of opportunity for prescribed pile and broadcast burning in Northern California | Worsnop, Rochelle P., Hoell, Andrew, Hatchett, Benjamin J., Chapman, Teresa B., Breeden, Melissa L., Tolby, Zach, Short, Karen C., Hobbins, Mike | Land Use/Land Cover Classification | |
| Characterization of irrigation timing using thermal satellite | Jalilvand, Ehsan, Kumar, Sujay V., Truong, Charles, Haacker, Erin, Mahanama, Sarith | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Climate risks of global deployed solar photovoltaic systems | Zhang, Deshuai, Ding, Ying, Ouyang, Zhuolin, Li, Yanjun, Baqais, Amal, Wang, Peng, Zhang, Haicheng | Land Use/Land Cover Classification | |
| Climate-dominated, LUCC-enhanced waterecosystem responses in the humid temperate Tumen River basin | Wang, Haiqing, Su, Mengqi, Qi, Peng, Li, Guangyin, Zou, Yuanchun | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Snow Water Equivalent, Runoff, Land Use/Land Cover Classification, Terrestrial Water Storage, Ground Water, Glacier Mass Balance/Ice Sheet Mass Balance | |
| Climate-induced shifts and lengthening of growing seasons across Pakistan's major vegetation types | Hanan, Muhammad Shah, Abbas, Sawaid | Land Use/Land Cover Classification | |
| Data gaps and outliers distort critical-slowing-down-based resilience | Liu, Teng, Morr, Andreas, Bathiany, Sebastian, Blaschke, Lana L., Qian, Zhen, Diao, Chan, Smith, Taylor, Boers, Niklas | Plant Phenology, Enhanced Vegetation Index (EVI), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Development of Gridded Root-Zone Soil Moisture Product for India | Chuphal, Dipesh Singh, Abhishek, Kushwaha, Anuj Prakash, Vangala, Gayathri, Mishra, Vimal | Land Use/Land Cover Classification | |
| Differences in Phenological Estimation From Multi-Vegetation Indices | Yu, Qinyue, Bai, Yan, Wang, Juanle | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| LC_Prop1 | FAO-Land Cover Classification System 1 (LCCS1) land cover layer | Class | uint8 | 255 | 1 to 43 | N/A | N/A |
| LC_Prop1_Assessment | LCCS1 land cover layer confidence | Percent | uint8 | 255 | 0 to 100 | N/A | N/A |
| LC_Prop2 | FAO-LCCS2 land use layer | Class | uint8 | 255 | 1 to 40 | N/A | N/A |
| LC_Prop2_Assessment | LCCS2 land use layer confidence | Percent | uint8 | 255 | 0 to 100 | N/A | N/A |
| LC_Prop3 | FAO-LCCS3 surface hydrology layer | Class | uint8 | 255 | 1 to 51 | N/A | N/A |
| LC_Prop3_Assessment | LCCS3 surface hydrology layer confidence | Percent | uint8 | 255 | 0 to 100 | N/A | N/A |
| LC_Type1 | Land Cover Type 1: Annual International Geosphere-Biosphere Programme (IGBP) classification | Class | uint8 | 255 | 1 to 17 | N/A | N/A |
| LC_Type2 | Land Cover Type 2: Annual University of Maryland (UMD) classification | Class | uint8 | 255 | 0 to 15 | N/A | N/A |
| LC_Type3 | Land Cover Type 3: Annual Leaf Area Index (LAI) classification | Class | uint8 | 255 | 0 to 10 | N/A | N/A |
| LC_Type4 | Land Cover Type 4: Annual BIOME-Biogeochemical Cycles (BGC) classification | Class | uint8 | 255 | 0 to 8 | N/A | N/A |
| LC_Type5 | Land Cover Type 5: Annual Plant Functional Types classification | Class | uint8 | 255 | 0 to 11 | N/A | N/A |
| LW | Binary land (class 2) / water (class 1) mask derived from MOD44W | Class | uint8 | 255 | 1 to 2 | N/A | N/A |
| QC | Product quality flags | Quality Flag | uint8 | 255 | 0 to 10 | N/A | N/A |