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 |
|---|---|---|---|
| Modeling canopy water content in the assessment for rainfall induced surface and groundwater nitrate contamination: The Bilate cropland sub watershed | Assa, Bereket Geberselassie, Bhowmick, Anirudh, Cholo, Bisrat Elias | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Modeling drivers of satellite-derived net primary productivity: inclusion of non-vegetated areas can be potential source of error | Buba, Toma | Land Use/Land Cover Classification, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Modelling spatial patterns of forest fire occurrence in the Northwestern region of Vietnam | Pham Thanh, Trang, Chu, Thuan, Tran Quang, Bao | Land Use/Land Cover Classification | |
| Modelling vegetation phenology at six field stations within the US Great Plains: constructing a 38-year timeseries of GCC, VCI, NDVI, and EVI2 using PhenoCam ... | Burke, Morgen W. V., Rundquist, Bradley C., Caparo Bellido, Anai | Land Use/Land Cover Classification | |
| Modern pollen-vegetation coverage relationships and its application for Holocene vegetation reconstructions in the central Tianshan Mountains | Li, Xueyin, Sun, Aizhi, Yang, Yunpeng, Zhang, Dongliang, Wu, Shuangshuang | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Modeling wildland fire burn severity in California using a spatial Super Learner approach | Simafranca, Nicholas, Willoughby, Bryant, ONeil, Erin, Farr, Sophie, Reich, Brian J., Giertych, Naomi, Johnson, Margaret C., Pascolini-Campbell, Madeleine A. | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Reflectance, Land Use/Land Cover Classification, Evapotranspiration, Land Surface Temperature, Emissivity, Potential Evapotranspiration, Plant Characteristics | |
| Monitoring forest cover and land use change in the Congo Basin under IPCC climate change scenarios | Yuh, Yisa Ginath, NGoran, Kouame Paul, Kross, Angela, Heurich, Marco, Matthews, H. Damon, Turner, Sarah E. | Land Use/Land Cover Classification | |
| Modelling Soil <SUP>13</SUP>C across the Tibetan Plateau Using | Zhou, T., College of Earth Science, Chengdu University of Technology, Chengdu 610059, China, Lai, Y. S., Yang, Z. H., Shi, Y. H., Luo, X. R., Liu, L., Yu, P., Chen, G., Cao, L. X., Fan, S. H., Cai, C. J., Sun, J., Chen, S. H., Lu, H. Y., Ma, X. L., Li, S. D., Tang, X. L. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Leaf Characteristics, Photosynthetically Active Radiation, Land Surface Temperature, Emissivity, Land Use/Land Cover Classification | |
| Mapping environmental suitability changes for arbovirus mosquitoes in | Hou, Weitao, Zhou, Yuxuan, Luo, Wei, Wang, Lin, Kwan, Mei-Po, Cook, Alex R. | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Mapping Extreme Wildfires Using a Critical Threshold in SMAP Soil | Goffin, Benjamin D., Aryal, Aashutosh, Deppert, Quinton, Ross, Kenton W., Lakshmi, Venkataraman | Land Use/Land Cover Classification | |
| Mapping 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020 | Zhu, Mengyao, Dai, Junhu, Wang, Huanjiong, Alatalo, Juha M., Liu, Wei, Hao, Yulong, Ge, Quansheng | Land Use/Land Cover Classification, Plant Phenology, Normalized Difference Vegetation Index (NDVI), Plant Phenological Changes, Reflectance, Enhanced Vegetation Index (EVI) | |
| Large disagreements in estimates of urban land across scales and their | Chakraborty, TC, Venter, Zander S., Demuzere, Matthias, Zhan, Wenfeng, Gao, Jing, Zhao, Lei, Qian, Yun | Land Use/Land Cover Classification | |
| Machine learning and global vegetation: random forests for downscaling and gap filling | van Jaarsveld, Barry, Hauswirth, Sandra M., Wanders, Niko | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Land Cover Disaggregated Fire Occurrence and Particulate | Adaktylou, Nektaria, Stratoulias, Dimitris, Borgman, Julia, Cha, Sangwoo, Adiningrat, Devara P., Nuthammachot, Narissara | Land Use/Land Cover Classification | |
| Loss and recovery of vegetation productivity in response to extreme | Li, Meng, Cui, Rui, Bu, Lingjia, Yang, Yuting | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Long-Term Satellite Monitoring of Various Types of Wildfires and Wildfire-Induced Emissions of Climate-Active Gases and Aerosols in Russia and in Its Large Regions | Bondur, V. G., Zima, A. L., Feoktistova, N. V. | Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Fire Ecology, Biomass Burning, Wildfires, Burned Area | |
| Long-term trends of vegetation greenness under different urban | Zhong, Qikang, Li, Zhe | Land Use/Land Cover Classification | |
| Prioritizing Forestation in China Through Incorporating Biogeochemical | Li, Yu, Zhang, Pengyi, Wang, Huanhuan, Ma, Hui, Zhao, Jie, Xu, Mengyang, Wang, Mengyu, Guo, Chenhui, Yue, Chao | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Characterizing the structural complexity of the Earth's forests with | de Conto, Tiago, Armston, John, Dubayah, Ralph | Land Use/Land Cover Classification, Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, VEGETATION HEIGHT, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, LIDAR WAVEFORM, Evergreen Vegetation, Deciduous Vegetation, Biomass, Shrubland/Scrub, Forests, Grasslands, Terrestrial Ecosystems, Forest Composition/Vegetation Structure | |
| ChinaRiceCalendarseasonal crop calendars for early-, middle-, and late-season rice in China | Li, Hui, Wang, Xiaobo, Wang, Shaoqiang, Liu, Jinyuan, Liu, Yuanyuan, Liu, Zhenhai, Chen, Shiliang, Wang, Qinyi, Zhu, Tongtong, Wang, Lunche, Wang, Lizhe | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| Characterization of Fuel Types for the Canadian Region Using MODIS MCD12Q1 Data | Nestola, Enrica, Gavrichkova, Olga, Vitale, Vito, Brugnoli, Enrico, Sarti, Maurizio | Land Use/Land Cover Classification | |
| Characterization of the urban heat Island effect from remotely sensed data based on a hierarchical model | Ford, Lucas, Wang, Dingbao, Kumar, Mukesh, Sankarasubramanian, A. | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| CO2 fluxes of vegetation in the Greenbelt of Ontario and increased net ecosystem emissions associated with its removal | Madsen, Sabrina, Wu, Dien, Halim, Md Abdul, Wunch, Debra | Urban Lands, Land Use/Land Cover, Urbanization/Urban Sprawl, Infrastructure, Land Use/Land Cover Classification, Reflectance, Anisotropy | |
| Coherence of recurring fires and land use change in South America | Ren, Shulin, Xu, Xiyan, Jia, Gensuo, Huang, Anqi, Ma, Wei | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Photosynthetically Active Radiation, Leaf Characteristics | |
| Climatic Predictors of Long-Distance Migratory Birds Breeding | Hanzelka, Jan, Telensky, Tomas, Kolecek, Jaroslav, Prochazka, Petr, Robinson, Robert A., Balta, Oriol, Cepak, Jaroslav, Gargallo, Gabriel, Henry, PierreYves, Henshaw, Ian, van der Jeugd, Henk, Karcza, Zsolt, Lehikoinen, Petteri, Meister, Bert, Nebot, Arantza Leal, Piha, Markus, Thorup, Kasper, Tttrup, Anders P., Reif, Jiri | Land Use/Land Cover Classification, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Plant Phenology, Enhanced Vegetation Index (EVI) |