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 |
|---|---|---|---|
| Instability of remote sensing based ecological index (RSEI) and its improvement for time series analysis | Zheng, Zihao, Wu, Zhifeng, Chen, Yingbiao, Guo, Cheng, Marinello, Francesco | Land Use/Land Cover Classification, Reflectance, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Integrated approach for spatial flood susceptibility assessment in Bhagirathi sub-basin, India using entropy information theory and geospatial technology | Rehman, Sufia, Hasan, Mohd. Sayeed Ul, Rai, Abhishek Kumar, Rahaman, Md. Hibjur, Avtar, Ram, Sajjad, Haroon | Land Use/Land Cover Classification, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM) | |
| Intercomparison of global terrestrial carbon fluxes estimated by MODIS | Hu, Qiwen, Li, Tingting, Deng, Xi, Wu, Tongwen, Zhai, Panmao, Huang, Danqing, Fan, Xingwang, Zhu, Yakun, Lin, Yongcheng, Xiao, Xiucheng, Chen, Xianyan, Zhao, Xiaosong, Wang, Lili, Qin, Zhangcai | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| High-Resolution Land Cover Mapping Through Learning With Noise | Dong, Runmin, Fang, Weizhen, Fu, Haohuan, Gan, Lin, Wang, Jie, Gong, Peng | Land Use/Land Cover Classification | |
| High-resolution large-scale onshore wind energy assessmentsA review of potential definitions, methodologies and future research needs | McKenna, Russell, Pfenninger, Stefan, Heinrichs, Heidi, Schmidt, Johannes, Staffell, Iain, Bauer, Christian, Gruber, Katharina, Hahmann, Andrea N., Jansen, Malte, Klingler, Michael, Landwehr, Natascha, Larsen, Xiaoli Guo, Lilliestam, Johan, Pickering, Bryn, Robinius, Martin, Trondle, Tim, Turkovska, Olga, Wehrle, Sebastian, Weinand, Jann Michael, Wohland, Jan | Land Use/Land Cover Classification | |
| Heat wave-induced augmentation of surface urban heat islands strongly regulated by rural background | Miao, Shiqi, Zhan, Wenfeng, Lai, Jiameng, Li, Long, Du, Huilin, Wang, Chenguang, Wang, Chunli, Li, Jiufeng, Huang, Fan, Liu, Zihan, Dong, Pan | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Albedo, Anisotropy | |
| Habitat preferences, spatial distribution and current population status of endangered giant flower Amorphophallus titanum | Yudaputra, Angga, Fijridiyanto, Izu Andry, Yuzammi, Witono, Joko Ridho, Astuti, Inggit Puji, Robiansyah, Iyan, Hendrian, R., Hutabarat, Prima, Yuswandi, Ade Yusup, Raharjo, Puguh Dwi, Syartinilia, Cropper, Wendell P. | Land Use/Land Cover Classification | |
| Future simulated landscape predicts habitat loss for the Golden Langur (Trachypithecus geei): A range level analysis for an endangered primate | Chatterjee, Paromit, Mukherjee, Tanoy, Dutta, Ritam, Sharief, Amira, Kumar, Vineet, Joshi, Bheem Dutt, Chandra, Kailash, Thakur, Mukesh, Sharma, Lalit Kumar | Land Use/Land Cover Classification | |
| Identifying and mapping potential groundwater-dependent ecosystems for a semi-arid and semi-humid area in the Weihe River, China | Xu, Wenjin, Kong, Feihe, Mao, Ruichen, Song, Jinxi, Sun, Haotian, Wu, Qiong, Liang, Dong, Bai, Haifeng | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Identifying the environmental and anthropogenic causes, distribution, and intensity of human rhesus macaque conflict in Nepal | Koirala, Sabina, Baral, Suraj, Garber, Paul A., Basnet, Hari, Katuwal, Hem Bahadur, Gurung, Sabita, Rai, Devi, Gaire, Raju, Sharma, Bishal, Pun, Tejab, Li, Ming | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Impact of BRDF spatiotemporal smoothing on land surface albedo estimation | Yang, Jian, Shuai, Yanmin, Duan, Junbo, Xie, Donghui, Zhang, Qingling, Zhao, Ruishan | Reflectance, Albedo, Anisotropy, Land Use/Land Cover Classification | |
| Impact of climatic changes and anthropogenic activities on ecosystem net primary productivity in India during 20012019 | Bejagam, Vijaykumar, Sharma, Ashutosh | 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), Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Impact of power on uneven developmentEvaluating built-up area changes in Chengdu based on NPP-VIIRS images (20152019) | Liu, Long, Li, Zhichao, Fu, Xinyi, Liu, Xuan, Li, Zehao, Zheng, Wenfeng | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Impact of enhanced forest conditions on land surface characteristics over central India using LIS | Pavani, Goriparthi, Chandrasekar, Anantharaman | Land Use/Land Cover Classification | |
| Impact of geophysical and anthropogenic factors on wildfire size: a | Masoudvaziri, Nima, Ganguly, Prasangsha, Mukherjee, Sayanti, Sun, Kang | Land Use/Land Cover Classification | |
| Impact of Incidence Angle Diversity on SMOS and Sentinel-1 Soil Moisture Retrievals at Coarse and Fine Scales | Portal, Gerard, Vall-llossera, Merce, Piles, Maria, Jagdhuber, Thomas, Camps, Adriano, Pablos, Miriam, Lopez-Martinez, Carlos, Das, Narendra N., Entekhabi, Dara | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Brightness Temperature, SIGMA NAUGHT, Surface Soil Moisture | |
| Impact of Land Use on Atmospheric Particulate Matter Concentrations: A | Zhai, Haoran, Yao, Jiaqi, Wang, Guanghui, Tang, Xinming | Land Use/Land Cover Classification | |
| Impact of mining on land use land cover change and water quality in the Asutifi North District of Ghana, West Africa | Gbedzi, Divine Dodzi, Ofosu, Eric Antwi, Mortey, Eric Mensah, Obiri-Yeboah, Abena, Nyantakyi, Emmanuel Kwesi, Siabi, Ebenezer Kwadwo, Abdallah, Faisal, Domfeh, Martin Kyereh, Amankwah-Minkah, Anna | Land Use/Land Cover Classification | |
| Feature Engineering of Remote Sensing Satellite Imagery Using Principal Component Analysis for Efficient Crop Yield Prediction | Sarith Divakar, M., Sudheep Elayidom, M., Rajesh, R. | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Reflectance | |
| Extent, patterns, and drivers of hypoxia in the world's streams and rivers | Blaszczak, Joanna R., Koenig, Lauren E., Mejia, Francine H., GomezGener, Lluis, Dutton, Christopher L., Carter, Alice M., Grimm, Nancy B., Harvey, Judson W., Helton, Ashley M., Cohen, Matthew J. | Land Use/Land Cover Classification | |
| Human density modulates spatial associations among tropical forest | Gorczynski, Daniel, Hsieh, Chia, Ahumada, Jorge, Akampurira, Emmanuel, Andrianarisoa, Mahandry Hugues, Espinosa, Santiago, Johnson, Steig, Kayijamahe, Charles, Lima, Marcela Guimaraes Moreira, Mugerwa, Badru, Rovero, Francesco, Salvador, Julia, Santos, Fernanda, Sheil, Douglas, Uzabaho, Eustrate, Beaudrot, Lydia | Population Density, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Foraging on the wing for fish while migrating over changing landscapes: traveling behaviors vary with available aquatic habitat for Caspian terns | Rueda-Uribe, C., Lotberg, U., Akesson, S. | Land Use/Land Cover Classification | |
| Forecasting crop yield with deep learning based ensemble model | Divakar, M. Sarith, Elayidom, M. Sudheep, Rajesh, R. | Land Use/Land Cover Classification, Reflectance, Plant Phenology, Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| Gaps in network infrastructure limit our understanding of biogenic | Malone, Sparkle L., Oh, Youmi, Arndt, Kyle A., Burba, George, Commane, Roisin, Contosta, Alexandra R., Goodrich, Jordan P., Loescher, Henry W., Starr, Gregory, Varner, Ruth K. | Land Use/Land Cover Classification | |
| Forest water use is increasingly decoupled from water availability even during severe drought | McQuillan, Katie A., Tulbure, Mirela G., Martin, Katherine L. | Land Use/Land Cover Classification, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux |