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 |
|---|---|---|---|
| Factors affecting urban electricity consumptiona case study in the Bangkok Metropolitan Area using an integrated approach of earth observation data and data analysis | Nguyen, Can Trong, Nguyen, Diep Thi Hong, Phan, Diem Kieu | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| 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 | |
| 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) | |
| 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 | |
| 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 | |
| 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 | |
| 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) | |
| 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 | |
| Evaluation of NPP using three models compared with MODIS-NPP data over China | Sun, Jinke, Yue, Ying, Niu, Haipeng | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Fire enhances forest degradation within forest edge zones in Africa | Zhao, Zhe, Li, Wei, Ciais, Philippe, Santoro, Maurizio, Cartus, Oliver, Peng, Shushi, Yin, Yi, Yue, Chao, Yang, Hui, Yu, Le, Zhu, Lei, Wang, Jingmeng | Land Use/Land Cover Classification, Evapotranspiration, Latent Heat Flux | |
| Fire-induced loss of the world's most biodiverse forests in Latin America | Armenteras, Dolors, Davalos, Liliana M., Barreto, Joan S., Miranda, Alejandro, Hernandez-Moreno, Angela, Zamorano-Elgueta, Carlos, Gonzalez-Delgado, Tania M., Meza-Elizalde, Maria C., Retana, Javier | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Extreme fire weather is the major driver of severe bushfires in southeast Australia | Wang, Bin, Spessa, Allan C., Feng, Puyu, Hou, Xin, Yue, Chao, Luo, Jing-Jia, Ciais, Philippe, Waters, Cathy, Cowie, Annette, Nolan, Rachael H., Nikonovas, Tadas, Jin, Huidong, Walshaw, Henry, Wei, Jinghua, Guo, Xiaowei, Liu, De Li, Yu, Qiang | Land Use/Land Cover Classification, Reflectance, Anisotropy, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Exploring the applicability and scaling effects of satellite-observed spring and autumn phenology in complex terrain regions using four different spatial resolution products | Chen, Fangxin, Liu, Zhengjia, Zhong, Huimin, Wang, Sisi | 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) | |
| 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 | |
| Evaluation of snow extent time series derived from Advanced Very High | Wu, Xiaodan, Naegeli, Kathrin, Premier, Valentina, Marin, Carlo, Ma, Dujuan, Wang, Jingping, Wunderle, Stefan | Land Use/Land Cover Classification | |
| Evaluation of gridded soil moisture products over varied land covers | Saeedi, Mohammad, Sharafati, Ahmad, Tavakol, Ameneh | Land Use/Land Cover Classification | |
| Climate change and ecological engineering jointly induced vegetation greening in global karst regions from 2001 to 2020 | Huang, Jing, Ge, Zhongxi, Huang, Yuqing, Tang, Xuguang, Shi, Zhan, Lai, Peiyu, Song, Zengjing, Hao, Binfei, Yang, Hong, Ma, Mingguo | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), 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 | |
| Climate change projections of terrestrial primary productivity over the Hindu Kush Himalayan forests | Usman, Halima, Pugh, Thomas A. M., Ahlstrom, Anders, Baig, Sofia | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Paddy rice mapping in thailand using time-series sentinel-1 data and deep learning model | Xu, Lu, Zhang, Hong, Wang, Chao, Wei, Sisi, Zhang, Bo, Wu, Fan, Tang, Yixian | Land Use/Land Cover Classification | |
| Plasmodium vivax From Duffy-Negative and Duffy-Positive Individuals Share Similar Gene Pools in East Africa | Kepple, Daniel, Hubbard, Alfred, Ali, Musab M, Abargero, Beka R, Lopez, Karen, Pestana, Kareen, Janies, Daniel A, Yan, Guiyun, Hamid, Muzamil Mahdi, Yewhalaw, Delenasaw, Lo, Eugenia | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification | |
| Potential role of urban forest in removing PM2.5A case study in Seoul by deep learning with satellite data | Lee, Ahreum, Jeong, Sujong, Joo, Jaewon, Park, Chan-Ryul, Kim, Jhoon, Kim, Sookyung | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Aerosol Optical Depth/Thickness | |
| Potential of hotspot solar-induced chlorophyll fluorescence for better tracking terrestrial photosynthesis | Hao, Dalei, Asrar, Ghassem R., Zeng, Yelu, Yang, Xi, Li, Xing, Xiao, Jingfeng, Guan, Kaiyu, Wen, Jianguang, Xiao, Qing, Berry, Joseph A., Chen, Min | Reflectance, Albedo, Anisotropy, Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) |