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 |
|---|---|---|---|
| Soil moisture buffers the impact of precipitation variability on ecosystem productivity | Wang, Huiqi, Bassiouni, Maoya, Kang, Yanghui, Rifai, Sami W., Gherardi, Laureano A., Ukkola, Anna, Keenan, Trevor F. | Brightness Temperature, Surface Soil Moisture, Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| 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 | |
| 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 | |
| Spatio-temporal patterns and drivers of fire spread and severity: a case study of an extreme wildfire in China's boreal forests | Liu, Qiming, Shen, Zehao, Zhou, Mei | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Spatiotemporal mapping of protected agriculture and its impacts on water consumption | Villasenor-Reyes, Cecilia Irene, Solorzano, Jonathan V. | Land Use/Land Cover Classification | |
| Spatiotemporal dynamics and climatic-anthropogenic drivers of kernel NDVI across Chinas subtropical forests | Yu, Rong, Hou, Rubei, Zhou, Jingjing, Liu, Linmin, Chen, Jingxia, Qu, He, Ding, Su, Ye, Zhi, Chen, Zihang, Pang, Jun, Chen, Jiacheng, Qiu, Shusu | Land Use/Land Cover Classification | |
| Spatiotemporal statistical evaluation of recent active and passive | Mousa, B.G., Samat, Alim, Du, Peijun, Abuduwaili, Jilili, Liu, Xiangzhuo, Al-Masnay, Yousef A., Nasri, Adel, Abdelhamid, Marzouk Mohamed Aly | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| 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) | |
| 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 | |
| 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 | |
| Status of Biomass Burning in China (2012 2024): A Satellite-Based Spatiotemporal Assessment | Yang, Guangyi, Liu, Fei, Zhu, Guangqin, Yang, Ling, Zhao, Hongmei, Chen, Guolei | Land Use/Land Cover Classification | |
| Use of Surface Water and Ocean Topography (SWOT) observations to support Land Use/Land Cover (LULC) change products: the case of the pacific coast of Ecuador | Sollier, Valentine, Frappart, Frederic, Bourrel, Luc, Ygorra, Bertrand, Normandin, Cassandra, Huaraca, Luis, Couvreur, ThomasL.P., Salameh, Edward, Baghdadi, Nicolas, Wigneron, Jean-Pierre | Land Use/Land Cover Classification | |
| Updates in assessing soil organic carbon and their implications for evaluating land use change emissions | Benavidez-Brouk, Lauren, Taheripour, Farzad, Baldos, Uris, Zhuang, Qianlai, Chen, Shuo | Land Use/Land Cover Classification | |
| Understanding the Dynamics of RecordShattering Compound DroughtHeatwave Events and Their Impacts on Ecosystems | Li, Bohao, Liu, Kai, Wang, Ming, Yang, Yuanhang, He, Mingzhu, Wang, Yanfang, Li, Chenxia, Wang, Di | Land Use/Land Cover Classification | |
| Understanding green house gases emission dynamics from forest fires in | Shahzad, Fahad, Mehmood, Kaleem, Anees, Shoaib Ahmad, Adnan, Muhammad, Hussain, Khadim, Khan, Waseem Razzaq, Shah, Munawar, Jamjareegulgarn, Punyawi, Oliveira, Manuela, Borges, Jose G. | Land Use/Land Cover Classification | |
| Uncovering the importance of spatiotemporal resolution in | Kong, Juwon, Ryu, Youngryel, Dechant, Benjamin, Jeong, Sungchan, Kim, Jongmin, Lee, Kyungdo, Ku, Bonil, Houborg, Rasmus | Land Use/Land Cover Classification | |
| Theoretical and Actual Carbon Sequestration Potential in China's Terrestrial Ecosystems | Wang, Xiaozhen, Deng, Lei, Ciais, Philippe, Wu, Jin, Peng, Changhui, Penuelas, Josep, Zhao, Xining, Peng, Shouzhang, Yue, Chao, Niu, Shuli, Zhang, Yao, Wu, Jianzhao, Bai, Ruihua, Yang, Feng, Shangguan, Zhouping, Kuzyakov, Yakov, Liu, Shirong | Land Use/Land Cover Classification | |
| The influence of plant soil moisture stress on solar-induced chlorophyll fluorescence efficiency across Africa | Onkaew, Khomkrit, Quaife, Tristan, Black, Emily, Maidment, Ross I. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Reflectance, Anisotropy, Albedo | |
| The newly developed Multi-ensemble Biomass-burning Emissions Inventory (MBEI): characterizing and unraveling spatiotemporal uncertainty in global ... | Liu, Xinlu, Sun, Zhongyi, Shi, Chong, Wang, Peng, Nie, Tangzhe, Chu, Qingnan, Shang, Huazhe, Sun, Lu, Ji, Dabin, Guo, Meng, Yi, Kunpeng, Tan, Zhenghong, Wu, Lan, Lu, Xinchun, Yin, Shuai | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Fire Dynamics, Surface Radiative Properties, Land Surface Temperature | |
| Survival of a Long-Lived Avian Scavenger: Implications of Age, Season | Hudson, Spencer B., Tillman, Eric A., Wahl, Marian L., Zollner, Patrick A., Ross, Caryn D., DeVault, Travis L., Beasley, James C., NavedaRodriguez, Adrian, Rush, Scott A., Osterhoudt, Noah M., Kelly, Jeffrey F., Duerr, Adam E., Humberg, Lee A., Dunlap, Brett G., Neil, Chad, Forbes, John T., Glass, Harris, Guerrant, Travis L., Byrd, Robert W., Kavouriaris, Philip W., Darracq, Andrea K., Springer, Matthew T., Kluever, Bryan M. | Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| A hybrid machine learning model for flood prediction with recursive feature elimination informed by training performance | Gong, Liying, Woo, Wai Lok, Wu, Yue Ivan, Zheng, Xiujuan | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Total Surface Precipitation Rate | |
| Advancing point-to-grid scale ET mapping: comparative assessment of ECOSTRESS and MODIS LST and ET across heterogeneous landscapes | Park, Kijin, Baik, Jongjin, Kim, Kiyoung, Park, Jongmin | Evapotranspiration, Latent Heat Flux, Geolocation, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Clouds, Total Surface Precipitation Rate | |
| A diagnostic intercomparison of modeled ozone dry deposition over North America and Europe using AQMEII4 regional-scale simulations | Hogrefe, Christian, Galmarini, Stefano, Makar, Paul A., Kioutsioukis, Ioannis, Clifton, Olivia E., Alyuz, Ummugulsum, Bash, Jesse O., Bellasio, Roberto, Bianconi, Roberto, Butler, Tim, Cheung, Philip, Hodzic, Alma, Kranenburg, Richard, Lupascu, Aurelia, Momoh, Kester, Perez-Camanyo, Juan Luis, Pleim, Jonathan E., Ryu, Young-Hee, San Jose, Roberto, Schaap, Martijn, Schwede, Donna B., Sokhi, Ranjeet | Land Use/Land Cover Classification | |
| A high resolution, gridded product for vapor pressure deficit using Daymet | Corak, Nicholas K., Thornton, Peter E., Lowman, Lauren E. L. | Land Use/Land Cover Classification, Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Shortwave Radiation, Vapor Pressure, Surface Pressure, Longwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature | |
| A Generalized Spatiotemporally Weighted Boosted Regression to Predict | Wu, Ritu, Hong, Zhimin, Du, Wala, Shan, Yu, Ying, Hong, Wu, Rihan, Gantumur, Byambakhuu | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area |