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 |
|---|---|---|---|
| Evaluation of evapotranspiration deficit index for agricultural drought monitoring in North China | Wu, Rongjun, Liu, Yibo, Xing, Xiaoyong | Land Use/Land Cover Classification | |
| Evaluation of forest carbon uptake in South Korea using the national flux tower network, remote sensing, and data-driven technology | Cho, Sungsik, Kang, Minseok, Ichii, Kazuhito, Kim, Joon, Lim, Jong-Hwan, Chun, Jung-Hwa, Park, Chan-Woo, Kim, Hyun Seok, Choi, Sung-Won, Lee, Seung-Hoon, Indrawati, Yohana Maria, Kim, Jongho | Photosynthesis, Primary Production, Vegetation Productivity, Reflectance, Anisotropy, Land Use/Land Cover Classification | |
| Evapotranspiration Changes over the European Alps: Consistency of Trends | Castelli, Mariapina | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Use/Land Cover Classification, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Evapotranspiration estimates from an energy-water-balance model calibrated on satellite land surface temperature over the Heihe basin | Paciolla, Nicola, Corbari, Chiara, Hu, Guangcheng, Zheng, Chaolei, Menenti, Massimo, Jia, Li, Mancini, Marco | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global predictions of primary soil salinization under changing climate in the 21st century | Hassani, Amirhossein, Azapagic, Adisa, Shokri, Nima | Land Use/Land Cover Classification, Carbon, Nitrogen, Soil Water Holding Capacity, Soil Bulk Density, Soil Chemistry, Soil Classification, Soil Moisture/Water Content, Soil Horizons/Profile | |
| Global fuel moisture content mapping from MODIS | Quan, Xingwen, Yebra, Marta, Riano, David, He, Binbin, Lai, Gengke, Liu, Xiangzhuo | Land Use/Land Cover Classification, Reflectance, Anisotropy, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Global trends in vegetation seasonality in the GIMMS NDVI3g and their robustness | Ye, Wentao, van Dijk, Albert I.J.M., Huete, Alfredo, Yebra, Marta | Land Use/Land Cover Classification | |
| Global increase in wildfire risk due to climatedriven declines in fuel moisture | Ellis, Todd M., Bowman, David M. J. S., Jain, Piyush, Flannigan, Mike D., Williamson, Grant J. | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Global Land Cover Assessment Using Spatial Uniformity Validation Dataset | Ishii, Yoshie, Iwao, Koki, Kinoshita, Tsuguki | Land Use/Land Cover Classification, REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance | |
| Global land use changes are four times greater than previously estimated | Winkler, Karina, Fuchs, Richard, Rounsevell, Mark, Herold, Martin | Land Use/Land Cover Classification | |
| Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 | Robinson, Caleb, Malkin, Kolya, Jojic, Nebojsa, Chen, Huijun, Qin, Rongjun, Xiao, Changlin, Schmitt, Michael, Ghamisi, Pedram, Hansch, Ronny, Yokoya, Naoto | Land Use/Land Cover Classification | |
| Generating the 30-m land surface temperature product over continental China and USA from Landsat 5/7/8 data | Cheng, Jie, Meng, Xiangchen, Dong, Shengyue, Liang, Shunlin | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Growing spatial overlap between dam-related flooding, cropland and domestic water points: A waterenergyfood nexus management challenge in Malawi and ... | Li, Chengxiu, Yu, Weiyu, Dzodzomenyo, Mawuli, Asamoah, Moses, Kerapetse, Catherine Tlotlo, Kandel, Matt, Wright, Jim | Land Use/Land Cover Classification | |
| Green change in the core build-up areas of ChinaInformation from MODIS data | Hong, Changqiao, Jin, Xiaobin | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Greening-induced increase in evapotranspiration over Eurasia offset by CO2-induced vegetational stomatal closure | Zhang, Xuanze, Zhang, Yongqiang, Ma, Ning, Kong, Dongdong, Tian, Jing, Shao, Xingmin, Tang, Qiuhong | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Land Use/Land Cover Classification | |
| GLOBE Observer and the GO on a trail data challengeA citizen science approach to generating a global land cover land use reference dataset | Kohl, Holli A., Nelson, Peder V., Pring, John, Weaver, Kristen L., Wiley, Daniel M., Danielson, Ashley B., Cooper, Ryan M., Mortimer, Heather, Overoye, David, Burdick, Autumn, Taylor, Suzanne, Haley, Mitchell, Haley, Samual, Lange, Josh, Lindblad, Morgan E. | Land Use/Land Cover Classification | |
| Grid-Scale Impact of Climate Change and Human Influence on Soil Erosion | Li, Chaodong, Li, Zhanbin, Yang, Mingyi, Ma, Bo, Wang, Baiqun | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E) | Mai, Juliane, Tolson, Bryan A., Shen, Hongren, Gaborit, Etienne, Fortin, Vincent, Gasset, Nicolas, Awoye, Herve, Stadnyk, Tricia A., Fry, Lauren M., Bradley, Emily A., Seglenieks, Frank, Temgoua, Andre G. T., Princz, Daniel G., Gharari, Shervan, Haghnegahdar, Amin, Elshamy, Mohamed E., Razavi, Saman, Gauch, Martin, Lin, Jimmy, Ni, Xiaojing, Yuan, Yongping, McLeod, Meghan, Basu, Nandita B., Kumar, Rohini, Rakovec, Oldrich, Samaniego, Luis, Attinger, Sabine, Shrestha, Narayan K., Daggupati, Prasad, Roy, Tirthankar, Wi, Sungwook, Hunter, Tim, Craig, James R., Pietroniro, Alain | Land Use/Land Cover Classification | |
| Habitat prediction modelling for vulture conservation in Gangetic-Thar-Deccan region of India | Jha, Radhika, Jha, Kaushalendra Kumar | Land Use/Land Cover Classification | |
| Woody plant encroachment enhanced global vegetation greening and | Deng, Yuanhong, Li, Xiaoyan, Shi, Fangzhong, Hu, Xia | Land Use/Land Cover Classification, Reflectance | |
| Worldwide performance evaluation of ground surface reflectance models | Tuomiranta, Arttu, Alet, Pierre-Jean, Ballif, Christophe, Ghedira, Hosni | Land Use/Land Cover Classification | |
| Would the obtainable gross primary productivity (GPP) products stand up? A critical assessment of 45 global GPP products | Zhang, Yahai, Ye, Aizhong | Land Use/Land Cover Classification | |
| WRF/UCM simulations of the impacts of urban expansion and future climate change on atmospheric thermal environment in a Chinese megacity | Zhao, Yang, Zhong, Lei, Ma, Yaoming, Fu, Yunfei, Chen, Mingxing, Ma, Weiqiang, Zhao, Chun, Huang, Ziyu, Zhou, Keqi | Land Use/Land Cover Classification | |
| Vegetation change and its response to climate extremes in the arid region of northwest china | Wang, Simeng, Liu, Qihang, Huang, Chang | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Vegetation cover change and its attribution in China from 2001 to 2018 | Mu, Baohui, Zhao, Xiang, Wu, Donghai, Wang, Xinyan, Zhao, Jiacheng, Wang, Haoyu, Zhou, Qian, Du, Xiaozheng, Liu, Naijing | Land Use/Land Cover Classification |