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.
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 (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 |
|---|---|---|---|
| Assessing Consistency in Fuel Consumed Between Activity-Based Wildfire | Saide, P. E., Wu, Y., Arnold, M., Thapa, L. H., Soja, A., Gargulinski, E., Li, F., Wiedinmyer, C., Emmons, L. K., Tang, W., Westerling, A. L., Xu, Q., Ordway, E. M., Queally, N., Kueppers, L. | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Vegetation Cover | |
| 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 | |
| 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 New Addition to Global Soil Moisture Mapping: CFOSAT Scatterometer | Duan, Pan, Zhao, Tianjie, Lu, Haishen, Lang, Shuyan, Zheng, Jingyao, Bai, Yu, Peng, Zhiqing, Wagner, Wolfgang, Guo, Peng, Shi, Hongtao, Sun, Congrong, Jia, Li, Zhu, Di, Dong, Xiaolong, Shi, Jiancheng | Land Use/Land Cover Classification | |
| A Stepwise Approach for Monitoring Spring Maize Phenology Using Fused | Ma, Yuyang, Guan, Haixiang, Fang, Zhou, Shuai, Yan, Huang, Bo, Li, Xuecao, Huang, Jianxi | Land Use/Land Cover Classification | |
| Local and remote drivers of increased variability in extreme wildfire | Kim, Kiwook, Lee, Myong-In, Lee, Seungseok, Choi, Nakbin, Jin, Fei-Fei, Min, Seung-Ki, Kam, Jonghun | Land Use/Land Cover Classification | |
| Machine learning reveals hidden bias in ERA5 cloud heights over Earth's third pole | Zhao, W., Wang, Y. N., Pan, Y. B., Pan, L. J., Bi, Y. H., Wu, X., Tian, Y. F., Qiu, Y. H., Wang, T. Q., Lu, D. R. | Cloud Types, Cloud Properties, Cloud Liquid Water/Ice, Land Use/Land Cover Classification | |
| Machine learning technique for net ecosystem exchange of carbon dioxide simulation and assessment: a regional analysis of Japanese islands | Gorbarenko, Artem, Gorbarenko, Elizaveta, Mikhailov, Dmitry, Vlasov, Alexander, Saeed, Muhammad | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, Vegetation Productivity | |
| Mapping crop types in smallholder mono- and intercropping systems with multi-sensor data in regions with multiple growing cycles | Akinyemi, Felicia O., Rufin, Philippe, Ibrahim, Esther Shupel, Hostert, Patrick, Ogunsumi, Lucia O., Egbetokun, Olugbenga A., Ifejika Speranza, Chinwe | Land Use/Land Cover Classification | |
| Mapping four decades of change: Deep learning and Google Earth Engine | Tahmi, Sadiq, Rui, Xiaoping, Guechi, Imen, Hannache, Faris, Wang, Xuege, Chebika, Housseyn | Land Use/Land Cover Classification | |
| L. Duncanson a,* PM Montesano b,c,A. Neuenschwander d, A. | Duncanson, L., Montesano, P.M., Neuenschwander, A., Zarringhalam, A., Thomas, N., Minor, D.M., Wulder, M.A., White, J.C., Guenther, E., Feng, T., Leitold, V., Hancock, S., Armston, J., Puliti, S., Mandel, A.I., Shah, S., Silva, C., Purslow, M., Bruening, J., Breidenbach, J., Nsset, E., Saarela, S., Hunka, N., Kellner, J.R., Healey, S.P., Schepaschenko, D., Wallerman, J., Neigh, C.S.R., Carvalhais, N., Dubayah, R. | Land Use/Land Cover Classification, Reflectance, Biomass, Terrestrial Ecosystems, LIDAR WAVEFORM, Evergreen Vegetation, Shrubland/Scrub, Grasslands, Forests, Canopy Characteristics, Deciduous Vegetation | |
| Impacts of LULC changes on hydrometeorological variables in forested, deforested, and transitional regions of southeastern Australia | Moghim, Sanaz, Tavakoli, Nazanin | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Impacts of orography and urbanization on extreme precipitation event in Beijing during 2023 | Cui, Haobo, Yu, Hongyong, Zuo, Xingshuo, Wu, Guocan | Land Use/Land Cover Classification | |
| Crop and irrigation types ground-truth dataset for Moroccan agricultural regions | Ouassanouan, Youness, Elfarkh, Jamal, Grich, Said, Liblab, Abderrahman, Chehbouni, Abdelghani | Land Use/Land Cover Classification | |
| Crossing the Threshold: Land Cover Change Triggers Hydrological Regime Shift in Brazil's Itaipu Hydropower Region | Besnier, Jessica, Getirana, Augusto, Lakshmi, Venkataraman | Land Use/Land Cover Classification | |
| Cumulative and lagged effects of climate factors on vegetation end of | Wang, Jie, You, Jiangong, Yi, Mingxuan, Huo, Weiqi, Zhang, Dongming, Shen, Yonglin, Sui, Kelin | Land Use/Land Cover Classification | |
| Assessing the spatial mismatch between staple grain production and consumption and its implications on systemic vulnerability of food security in Shanxi, China | Li, Jing, Zhao, Haipeng, Song, Hongquan, Deng, Xiangzheng | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| 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 | |
| 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 | |
| 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 | |
| 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 |
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 |