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 |
|---|---|---|---|
| Canadian and Alaskan wildfire smoke particle properties, their evolution, and controlling factors, from satellite observations | Junghenn Noyes, Katherine T., Kahn, Ralph A., Limbacher, James A., Li, Zhanqing | Heat Flux, Air Temperature, Skin Temperature, Specific Humidity, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Geopotential Height, Atmospheric Ozone, Sea Level Pressure, Surface Pressure, Upper Air Temperature, Vertical Profiles, U/V Wind Components, Ozone Profiles, Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Changes in summer biogenic volatile organic compound emission and secondary organic aerosols over the 20012018 period over China: Roles of leaf biomass ... | Li, Jie, Han, Zhiwei, Wu, Jian, Wang, Qingeng, Li, Jiawei, Tao, Jun | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification | |
| Changes in the spatial patterns of burned area in Colombia, what happened in the first two decades of the 21st century? | Armenteras, Dolors | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Assessing climate and human activity effects on lake characteristics using spatio-temporal satellite data and an emotional neural network | Mojtahedi, Alireza, Dadashzadeh, Mehran, Azizkhani, Mostafa, Mohammadian, Abdolmajid, Almasi, Ramin | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Anthropogenic Land Use and Land Cover Changes-A Review on Its | Roy, Parth Sarathi, Ramachandran, Reshma M., Paul, Oscar, Thakur, Praveen K., Ravan, Shirish, Behera, Mukunda Dev, Sarangi, Chandan, Kanawade, Vijay P. | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Application of remote sensing tools to assess the land use and land cover change in Coatzacoalcos, Veracruz, Mexico | Revuelta-Acosta, Josept David, Guerrero-Luis, Edna Suhail, Terrazas-Rodriguez, Jose Eduardo, Gomez-Rodriguez, Cristian, Alcala Perea, Gerardo | Land Use/Land Cover Classification | |
| Analyze the Impact of Weather Parameters for Crop Yield Prediction Using Deep Learning | Patel, Pragneshkumar, Chaudhary, Sanjay, Parmar, Hasit | Land Use/Land Cover Classification, Reflectance, Land Surface Temperature, Emissivity | |
| Assessment of SMAP and SMOS soil moisture products using triple | Hu, Fengmin, Wei, Zushuai, Yang, Xining, Xie, Wenjun, Li, Yuanxi, Cui, Changlu, Yang, Beibei, Tao, Chongxin, Zhang, Wen, Meng, Lingkui | Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Assimilation of SMAP Products for Improving Streamflow Simulations over | Le, Manh-Hung, Nguyen, Binh Quang, Pham, Hung T., Patil, Amol, Do, Hong Xuan, Ramsankaran, RAAJ, Bolten, John D., Lakshmi, Venkataraman | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Assessment of spatial and temporal ecological environment quality under | Airiken, Muhadaisi, Zhang, Fei, Chan, Ngai Weng, Kung, Hsiang-te | Land Surface Temperature, Emissivity, Reflectance, Land Use/Land Cover Classification | |
| Warming weakens the night-time barrier to global fire | Balch, Jennifer K., Abatzoglou, John T., Joseph, Maxwell B., Koontz, Michael J., Mahood, Adam L., McGlinchy, Joseph, Cattau, Megan E., Williams, A. Park | Land Use/Land Cover Classification | |
| Warming, increase in precipitation, and irrigation enhance greening in High Mountain Asia | Maina, Fadji Zaouna, Kumar, Sujay V., Albergel, Clement, Mahanama, Sarith P. | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification | |
| Vegetation activity enhanced in India during the COVID-19 lockdowns: evidence from satellite data | Ranjan, Avinash Kumar, Dash, Jadunandan, Xiao, Jingfeng, Gorai, Amit Kumar | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Aerosol Optical Depth/Thickness | |
| Vegetation clumping modulates global photosynthesis through adjusting | Li, Fa, Hao, Dalei, Zhu, Qing, Yuan, Kunxiaojia, Braghiere, Renato K., He, Liming, Luo, Xiangzhong, Wei, Shanshan, Riley, William J., Zeng, Yelu, Chen, Min | Land Use/Land Cover Classification | |
| Vegetation greening and climate change promote an increase in evapotranspiration across Siberia | Shi, Shangyu, Wang, Ping, Yu, Jingjie | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification | |
| Vegetation recovery and recent degradation in different karst landforms | He, Yuanhuizi, Wang, Li, Niu, Zheng, Nath, Biswajit | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, Vegetation Productivity, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Vegetation response to soil moisture and groundwater in west-central | Suzuki, Ryotaro, Higuchi, Atsushi | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Internet GIS-Based Air Quality Monitoring and Forecast System for the Indian Region Using FOSS4G | Oberai, Kapil, Saran, Sameer, Jha, Ashutosh Kumar, Singh, Charu, Kant, Yogesh, Srivastava, Shuchita, Singh, Sanjeev Kumar, Mitra, Debashis, Chauhan, Prakash | Land Use/Land Cover Classification | |
| Iron Age plant subsistence in the Inner Congo Basin (DR Congo) | Neumann, Katharina, Eichhorn, Barbara, Wotzka, Hans-Peter | Land Use/Land Cover Classification | |
| Irrigation and warming drive the decreases in surface albedo over High Mountain Asia | Maina, Fadji Z., Kumar, Sujay V., Gangodagamage, Chandana | Reflectance, Albedo, Anisotropy, Land Use/Land Cover Classification, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Interventions to support tourism and its impact on air quality A case study of the go to travel campaign in Japan | Kodaka, Akira, Detera, Bernadette Joy, Onda, Yasushi, Leelawat, Natt, Tang, Jing, Laosunthara, Ampan, Saengtabtim, Kumpol, Kohtake, Naohiko | Land Use/Land Cover Classification | |
| Introduction to European rivers | Tockner, Klement, Tonolla, Diego, Bremerich, Vanessa, Jahnig, Sonja C., Robinson, Christopher T., Zarfl, Christiane | Land Use/Land Cover Classification, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM) | |
| Investigating the contrast diurnal relationship of land surface temperatures with various surface parameters represent vegetation, soil, water, and urbanization over Ahmedabad city in India | Mathew, Aneesh, P, Sarwesh, Khandelwal, Sumit | Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles | Lang, Nico, Kalischek, Nikolai, Armston, John, Schindler, Konrad, Dubayah, Ralph, Wegner, Jan Dirk | Land Use/Land Cover Classification, Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM | |
| Global Daily Actual and SnowFree BlueSky Land Surface Albedo Climatology From 20Year MODIS Products | Jia, Aolin, Wang, Dongdong, Liang, Shunlin, Peng, Jingjing, Yu, Yunyue | Land Use/Land Cover Classification, Albedo, Anisotropy, Reflectance |