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 |
|---|---|---|---|
| Anticipating a risky future: long short-term memory (LSTM) models for spatiotemporal extrapolation of population data in areas prone to earthquakes and tsunamis in ... | Gei, Christian, Maier, Jana, So, Emily, Schoepfer, Elisabeth, Harig, Sven, Gomez Zapata, Juan Camilo, Zhu, Yue | Land Use/Land Cover Classification | |
| Assessing and explaining rising global carbon sink capacity in karst ecosystems | Li, Chao, Zhang, Shiqiang | Land Use/Land Cover Classification | |
| An Insight Into the Internal Consistency of MODIS Global Leaf Area Index | Zhang, Xingjian, Yan, Kai, Liu, Jinxiu, Yang, Kai, Pu, Jiabin, Yan, Guangjian, Heiskanen, Janne, Zhu, Peng, Knyazikhin, Yuri, Myneni, Ranga B. | Land Use/Land Cover Classification | |
| Analyzing GOES-R ABI BRDF-adjusted EVI2 time series by comparing with | Shen, Yu, Zhang, Xiaoyang, Gao, Shuai, Zhang, Hankui K., Schaaf, Crystal, Wang, Weile, Ye, Yongchang, Liu, Yuxia, Tran, Khuong H. | Land Use/Land Cover Classification | |
| Analyzing grid extension suitability: A case study of Ethiopia using OnSSET | Temesgen, Adugnaw Lake, Wassie, Yibeltal T., Ahlgren, Erik O. | Land Use/Land Cover Classification | |
| Atmospheric Dryness Dominates Afternoon Depression of Global Terrestrial | Liu, Yue, Penuelas, Josep, Cescatti, Alessandro, Zhang, Yongguang, Zhang, Zhaoying | Atmospheric Carbon Dioxide, Land Use/Land Cover Classification | |
| Asymmetrical Impact of Daytime and Nighttime Warming on the Interannual | Yin, Peiyi, Li, Xuecao, Pellikka, Petri | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Vulnerability of lowland and upland orchids in their spatially response to climate change and land cover change | Yudaputra, Angga, Munawaroh, Esti, Usmadi, Didi, Purnomo, Danang Wahyu, Astuti, Inggit Puji, Puspitaningtyas, Dwi Murti, Handayani, Tri, Garvita, R. Vitri, Aprilianti, Popi, Wawangningrum, Hary, Renjana, Elga, Handini, Elizabeth, Angio, Melisnawati H., Firdiana, Elok Rifqi, Witono, Joko Ridho, Juswara, Lina Susanti, Fijridiyanto, Izu Andry, Ariati, Siti Roosita, Yuzammi, Sudarmono, Sudarmono, Wanda, Irvan Fadli, Wibowo, Aninda Retno Utami, Wati, Richa Kusuma, Hutabarat, Prima Wahyu Kusuma, Raharjo, Puguh Dwi, Mar'atus Solihah, Saniyatun, Saputra, Reza, Cropper, Wendell P. | Land Use/Land Cover Classification | |
| Vegetation Water Content Retrieval from Spaceborne GNSS-R and | Zhang, Yongfeng, Bu, Jinwei, Zuo, Xiaoqing, Yu, Kegen, Wang, Qiulan, Huang, Weimin | Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Vertical accuracy of open-source remote sensing data (AW3D30, TanDEM-X, ATLAS) for understory terrain estimation | Huang, Jiapeng, Yang, Yi, Yu, Yang, Zhang, Yue | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Utilizing MODIS remote sensing and integrated data for forest fire | Dastour, Hatef, Hassan, Quazi K | Land Use/Land Cover Classification | |
| Identification of forest fire points under clear sky conditions with Himawari-8 satellite data | Zhou, Wei, Tang, Bo-Hui, He, Zhi-Wei, Huang, Liang, Chen, Junyi | Land Use/Land Cover Classification | |
| Inversion of Aerosol Optical Depth: Incorporating Multimodel Approach | Sun, Xiaohu, Sun, Lin, Sun, Yu, Zhang, Jiarui, Fan, Xiaole, Ma, Chao | Land Use/Land Cover Classification | |
| Irrigation-driven groundwater depletion in the Ganges-Brahmaputra basin decreases the streamflow in the Bay of Bengal | Maina, Fadji Z., Getirana, Augusto, Kumar, Sujay V., Saharia, Manabendra, Biswas, Nishan Kumar, McLarty, Sasha, Appana, Ravi | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Evapotranspiration, Latent Heat Flux | |
| Interspecific competition shapes bird species' distributions along | Freeman, Benjamin G., Miller, Eliot T., StrimasMackey, Matthew | Land Use/Land Cover Classification | |
| Investigating the Relationship between Precipitation and Vegetation | Rousta, Iman, Shakiba, Fatemeh, Olafsson, Haraldur, Vargas, Edgar Ricardo Monroy, Siedliska, Anna, Krzyszczak, Jaromir | Land Use/Land Cover Classification | |
| LamaH-Ice: LArge-SaMple DAta for Hydrology and Environmental Sciences for Iceland | Helgason, Hordur Bragi, Nijssen, Bart | Stratigraphic Sequence, Digital Elevation/Terrain Model (DEM), Soil Depth, Sediments, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Land Use/Land Cover Classification | |
| Land and Atmospheric Drivers of the 2023 Flood in India | Kushwaha, Anuj Prakash, Solanki, Hiren, Vegad, Urmin, Mahto, Shanti Shwarup, Mishra, Vimal | Population Density, Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Integrating multi-objective optimization and ecological connectivity to | Deleglise, Hugo, Justeau-Allaire, Dimitri, Mulligan, Mark, Espinoza, Jhan-Carlo, Isasi-Catala, Emiliana, Alvarez, Cecilia, Condom, Thomas, Palomo, Ignacio | Land Use/Land Cover Classification | |
| Integrating counts from rigorous surveys and participatory science to | Zhao, Qing, Latif, Quresh S., Nuse, Bryan L., Pavlacky, David C., Kilner, Christopher L., Ryder, T. Brandt, Latimer, Christopher E. | Land Use/Land Cover Classification, Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Shortwave Radiation, Vapor Pressure | |
| Interannual changes in atmospheric oxidation over forests determined from space | Shutter, Joshua D., Millet, Dylan B., Wells, Kelley C., Payne, Vivienne H., Nowlan, Caroline R., Abad, Gonzalo Gonzalez | Formaldehyde, Land Use/Land Cover Classification | |
| Influence of terrestrial nitrogen dynamics on mesoscale nearsurface meteorological fields | Cai, Xitian, Cao, Yeer, Zhang, Guo, Liang, Jingjing, Zheng, Hui, Li, Kai, Zeng, Zhenzhong, Dai, Yongjiu, Yang, ZongLiang | Land Use/Land Cover Classification, Primary Production, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Gross Primary Production (gpp), Reflectance | |
| Influence of Vegetation Phenology on the Temporal Effect of Crop | Lin, Yinghao, Fan, Tingshun, Wang, Dong, Cai, Kun, Liu, Yang, Wang, Yuye, Yu, Tao, Xu, Nianxu | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance | |
| Extreme Climate as the Primary Control of Global Soil Organic Carbon | Wei, Yucheng, Wang, Mingming, Viscarra Rossel, R. A., Chen, Hong, Luo, Zhongkui | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Emissivity, Vegetation Index, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Normalized Difference Vegetation Index (NDVI), RADAR IMAGERY, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| High Resolution (30 m) Burned Area Product Improves the Ability for | Qi, Baoye, Zhang, Zhaoming, Long, Tengfei, He, Guojin, Wang, Guizhou, Peng, Yan, Xu, Zekun | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation |