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)
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Mapping Evapotranspiration and Diffuse Recharge via Variational | Mahmood, Asif, Farhadi, Leila | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Surface Soil Moisture | |
| Localized Browning in Thermokarst-Dominated Landscapes Reverses Regional Greening Trends Under a Warming Climate in Northeastern Siberia. | Wang, Ruixin, Wang, Ping, Xu, Li, Liu, Shiqi, Huang, Qiwei | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Lagged effect of temperature and rainfall on malaria incidence in Colombia (20132023): An approach with Bayesian spatiotemporal adjustment | Gutierrez, Juan David | Land Use/Land Cover Classification | |
| Long-term least-cost geospatial electrification planning to bridge the electricity access gap: the case of Ethiopia | Temesgen, Adugnaw Lake, Wassie, Yibeltal T., Bekele, Getachew, Ahlgren, Erik O. | Land Use/Land Cover Classification | |
| Linking microbial life strategies to carbon mineralization under diverse tillage practices: Insights from eroding black soil hillslopes | Qian, Rui, Gao, Lei, Liu, Junjie, Biswas, Asim, Peng, Xinhua | Land Use/Land Cover Classification | |
| Latitudinal variation in temperature dominance of domestic water use | Cheng, Qinzi, Zhang, Weiguo, Lam, Nina Siu Ngan, Yin, Jie | Population Size, Land Use/Land Cover Classification | |
| Leveraging sUAS-Sentinel-2 synergy for cross-scale mapping of canopy | Kolluru, Venkatesh, John, Ranjeet, Chen, Jiquan, Henebry, Geoffrey M., Xiao, Jingfeng, Shinde, Rajat, Kussainova, Maira, Ganzorig, Ulgiichimeg | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Integrating Satellite and Climate Data for Crop Yield Prediction: Spatiotemporal Analysis and Neural Network based Model | Zena H. Khalil | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Integrating causal inference and machine learning to quantify climate-malaria relationships: Evidence of temperature and rainfall thresholds from Colombian municipalities | Gutierrez, Juan David | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Improving GLASS AVHRR-derived terrestrial shortwave blue-sky albedo using GLASS MODIS-derived albedo: a global long-term study | Yang, Zi, Zhu, Hongjun, Yuan, Jie, Guluzade, Rufat, Pan, Xin, Ding, Xu, Liu, Suyi, Zhu, Congbao, Li, Yuqian, Guo, Longlong, Yang, Yingbao | Land Use/Land Cover Classification | |
| Improving regional simulations of processing tomato using remote sensing | Yang, Xin, Rezaei, Ehsan Eyshi, Farneselli, Michela, Croci, Michele, Tei, Francesco, Nendel, Claas | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Hybrid MCDMIsolation Forest approach for spatiotemporal landslide mapping | Jiang, Bingqi, Wang, Shouwu, Han, Chunhua, Meng, Jingkai, Wang, Lida | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Land Use/Land Cover Classification | |
| Impact of land-use change on ecosystem services in Africa's Great Green | Wang, Yizhuo, Scott, Catherine E., Dallimer, Martin | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Evapotranspiration, Latent Heat Flux, Topographical Relief Maps, Terrain Elevation, Digital Elevation/Terrain Model (DEM) | |
| Incorporating varying vegetation characteristics driven by | Sebastian, Dawn Emil, Ghosh, Subimal | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Albedo, Anisotropy | |
| Satellite-Based Fraction of Available Water Reveals Soil Moisture Deficits Preceding Major Wildfires | Goffin, Benjamin D., Fernandez, Alfonso, Etchanchu, Jordi, Fang, Bin, Lakshmi, Venkataraman | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Topographical Relief Maps, Plant Phenology, Enhanced Vegetation Index (EVI), Brightness Temperature, Surface Soil Moisture, SIGMA NAUGHT | |
| Revisiting the Urban Heat and Pollution Islands over the Kolkata Metropolitan Area, India | Pandey, Pragya, Tyagi, Bhishma, Kumar, Pradeep, Sahu, Saroj Kumar, Sharma, Kuldeep | Land Use/Land Cover Classification, Albedo, Anisotropy, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Projected impacts of climate change on malaria in Africa | Symons, Tasmin L., Moran, Alexander, Balzarolo, Ann, Vargas, Camilo, Robertson, Mairi, Lubinda, Jailos, Saddler, Adam, McPhail, Michael, Harris, Joseph, Rozier, Jennifer, Browne, Annie, Amratia, Punam, Bertozzi-Villa, Amelia, Bhatt, Samir, Cameron, Ewan, Golding, Nick, Smith, David L., Noor, Abdisalan M., Rumisha, Susan F., Palmer, Matthew D., Weiss, Daniel J., Desai, Naomi, Potere, David, Sukitsch, Nicholas, Woods, Wendy, Gething, Peter W. | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Response of Vegetation Phenology to Hydrothermal Variables on the QTP Using EVI and MSAVI | Zhao, Zhijian, Lin, Hui, Wang, Li, Huang, Min, Wu, Lei, Tang, Linling, Yang, Tao, Xiao, Xin | Albedo, Anisotropy, Evapotranspiration, Latent Heat Flux, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Reflectance | |
| Optimizing Soil Moisture-Runoff Coupling Strength With Remotely Sensed | Feng, Huihui, Zhou, Jianhong, Wu, Zhiyong, Dong, Jianzhi, Brocca, Luca, Zhao, Long, He, Hai, Fan, Hui | Carbon, Cation Exchange Capacity, Organic Matter, Land Use/Land Cover Classification, Surface Soil Moisture | |
| Phenophase-specific climate impacts and legacy effects govern autumn | Li, Yizhuo, Zhang, Yuan, Wang, Anzhi | Land Use/Land Cover Classification, Reflectance, Enhanced Vegetation Index (EVI) | |
| Prediction to Prevention: Comparative Machine Learning Models for Early Intervention of Dactyloctenium radulans in Australia | Asaduzzaman, Md, Mandal, Mohammad Shamim Hasan, Koetz, Eric, Rahman, Azizur, Masum, Sheikh Muhammad | Land Use/Land Cover Classification | |
| Protected areas influence fire regimes globally | Cardil, A., Rodrigues, M., Ascoli, D., Ortega, M., Quinones, T., Erdozain, M., Oliveras Menor, I., Spadoni, G.L., Ramirez, J., Molina, J.R., Mouillot, F., Silva, C.A., Mohan, M., Martinez-Bentue, C., de-Miguel, S. | Land Use/Land Cover Classification | |
| Nonlinear ElevationDependent Controls on Drought Responses of Vegetation Net Primary Production in the Central Himalayas | Wu, Jiujiang, Yang, Yanqing, Zhao, Junli, Ding, Tao, Zhao, Wei | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Land Use/Land Cover Classification | |
| Nonlinear impacts of urban size and vegetation cover on global surface | Jiang, Song, Zhao, Yongling, Zhao, Lei, Strebel, Dominik, Derome, Dominique, Urge-Vorsatz, Diana, Carmeliet, Jan, Peng, Jian | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Niche modelling reveals conservation challenges and priorities for the threatened Pampas Meadowlark in South American agroecosystems | Alvarez, A. G., La Sala, L. F., Cozzani, N. C., Tizon, F. R., Zalba, S. M. | Land Use/Land Cover Classification |
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 |