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 |
|---|---|---|---|
| Towards Safe and Sustainable Agricultural Reconstruction in Ukraine: Insights from Satellite-Based Crop Classification Maps | Kussul, Nataliia, Shelestov, Andrii, Yailymova, Hanna, Yailymov, Bohdan, Deininger, Klaus, Lemoine, Guido | Land Use/Land Cover Classification | |
| Tracking ecosystem stability across boreal Siberia | Shestakova, Tatiana A., Rogers, Brendan M., Mackey, Brendan, Hugh, Sonia, Norman, Patrick, Kukavskaya, Elena A. | Land Use/Land Cover Classification, Reflectance, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Towards an improved representation of the urban heat island effect : A | Bushenkova, Angelina, Soares, Pedro M.M., Johannsen, Frederico, Lima, Daniela C.A. | Land Use/Land Cover Classification | |
| Tree species diversity drives the land surface phenology of seasonally | Godlee, J. L., Ryan, C. M., Siampale, A., Dexter, K. G. | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Trend Analysis of MODIS Land Surface Temperature and Land Cover in Central Italy | Ghaderpour, Ebrahim, Mazzanti, Paolo, Bozzano, Francesca, Scarascia Mugnozza, Gabriele | Land Use/Land Cover Classification, Emissivity, Land Surface Temperature | |
| The role of root dynamics on the climate sensitivity of ecohydrological processes of over-and understory in a semi-arid groundwater-dependent ecosystem | Liu, Qiyue, Barros, Ana P. | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Shortwave Radiation, Vapor Pressure | |
| The influence of climatic and environmental variables on sunflower planting season suitability in Tanzania | Beteri, John, Lyimo, James Godfrey, Msinde, John Victor | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| Coupled estimation of global 500m daily aerodynamic roughness length, zero-plane displacement height and canopy height | Peng, Zhong, Tang, Ronglin, Liu, Meng, Jiang, Yazhen, Li, Zhao-Liang | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Crop Predictive Insights: The Synergy of Deep Learning, Multi-Source Satellite Imagery and Weather Data | Patel, Pragneshkumar, Chaudhary, Sanjay, Parmar, Hasit | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Cropland Extraction in Southern China from Very High-Resolution Images | Xie, Dehua, Xu, Han, Xiong, Xiliu, Liu, Min, Hu, Haoran, Xiong, Mengsen, Liu, Luo | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Continuity of Global MODIS Terrestrial Primary Productivity Estimates in | Endsley, K. Arthur, Zhao, Maosheng, Kimball, John S., Devadiga, Sadashiva | Vegetation, Soils, Atmospheric Temperature, Precipitation, Terrain Elevation, Biomass, Land Use/Land Cover Classification, Biomass Dynamics, Primary Production, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Forest Composition/Vegetation Structure | |
| Conversion of satellite passive microwave signals to land surface skin temperature for extremely dry deserts | Song, Peilin, Zhao, Tianjie, Zhang, Yongqiang, He, Qingying | Land Use/Land Cover Classification | |
| Design of a Multilayer Perceptron Network Based on the Normalized Histogram to Develop Yields Predictive Model | Khalil, Zena H., Khaleel, Alaa Hussein | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Developing a two-decadal time-record of rice field maps using Landsat-derived multi-index image collections with a random forest classifier: A Google Earth ... | Fernando, W. Ashane M., Senanayake, I.P. | Land Use/Land Cover Classification | |
| Developing global annual land surface phenology datasets (1982-2018) | Wu, Wei, Li, Ziming, Zhang, Zhicheng, Yan, Chenxi, Xiao, Kun, Wang, Yidan, Xin, Qinchuan | Land Use/Land Cover Classification | |
| Estimating global GPP from the plant functional type perspective using a machine learning approach | Guo, Renjie, Chen, Tiexi, Chen, Xin, Yuan, Wenping, Liu, Shuci, He, Bin, Li, Lin, Wang, Shengzhen, Hu, Ting, Yan, Qingyun, Wei, Xueqiong, Dai, Jie | Land Use/Land Cover Classification | |
| Estimation of Northern Burnt Forest Mortality in the 21st Century Based on MODIS Data on Fire Intensity | Lozin, D. V., Loupian, E. A., Balashov, I. V., Bartalev, S. A. | Land Use/Land Cover Classification | |
| Estimation of northern burnt forests mortality in the XXI century based on MODIS data on fire intensity | Space Research Institute RAS; Lomonosov Moscow State University, Lozin, D.V., Loupian, E.A., Balashov, I.V., Bartalev, S.A. | Land Use/Land Cover Classification | |
| Examining leopard attacks: spatio-temporal clustering of human injuries and deaths in Western Himalayas, India | Shivakumar, Shweta, Carricondo-Sanchez, David, Athreya, Vidya, Odden, Morten, Dhiman, Sat Pal, Vaidyanathan, Srinivas, Karanth, Krithi K. | Land Use/Land Cover Classification | |
| Forestation at the right time with the right species can generate persistent carbon benefits in China | Xu, Hao, Yue, Chao, Zhang, Yao, Liu, Dan, Piao, Shilong | Land Use/Land Cover Classification | |
| Hydrological modeling based on the KNN algorithm: An application for the | Escuela Profesional de Ingenieria Agricola, Universidad Nacional del Altiplano, Puno, Peru / Escuela Profesional de Ingenieria Ambiental, Universidad Peruana Union, Juliaca, Peru, Lujano, Efrain, Lujano, Rene, Huamani, Juan Carlos, Lujano, Apolinario | Land Use/Land Cover Classification | |
| Identifying Outliers of the MODIS Leaf Area Index Data by Including | Ma, Baibing, Xu, Ming | Geopotential Height, Altitude, Surface Temperature, Skin 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, Total Ozone, Land Use/Land Cover Classification, Longwave Radiation, Shortwave Radiation, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Temperature, Soil Infiltration, Soil Infiltration, Soil Moisture/Water Content, Surface Soil Moisture, Root Zone Soil Moisture, Soil Moisture/Water Content, Evaporation, Surface Water, Runoff Rate, Average Flow, Average Flow, Precipitation, Snow/Ice, Snow Depth, Snow Melt, Snow/Ice Temperature, Leaf Area Index (LAI), Leaf Area Index (LAI) | |
| Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland | Feng, Sijia, Qiu, Jianxiu, Crow, Wade T., Mo, Xingguo, Liu, Suxia, Wang, Sheng, Gao, Lun, Wang, Xinghan, Chen, Shuisen | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Improving risk reduction potential of weather index insurance by spatially downscaling gridded climate data-a machine learning approach | Eltazarov, Sarvarbek, Bobojonov, Ihtiyor, Kuhn, Lena, Glauben, Thomas | Land Use/Land Cover Classification | |
| Improved statistical models for the relationship between riparian vegetation and river flow in arid environments: Implications for flow management | Zhang, Yichi | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) |