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
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Convective potential and fuel availability complement near-surface | Su, Hongxuan, Yu, Yan, Guo, Weidong, Mao, Jiafu | Land Use/Land Cover Classification | |
| Cross-Scalar Analysis of Multisensor Land Surface Phenology | Gao, Xiaojie, Stonebrook, Sophia, Green, Tristan, Moon, Minkyu, Friedl, Mark A. | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover, Leaf Characteristics | |
| Contrasting age-dependent leaf acclimation strategies drive vegetation greening across deciduous broadleaf forests in mid-to high latitudes | Wang, Fangyi, Xue, Meimei, Zhou, Liming, Doughty, Christopher E., Ciais, Philippe, Reich, Peter B., Shang, Jiali, Chen, Jing Ming, Liu, Jane, Green, Julia K., Hao, Dalei, Tao, Shengli, Su, Yanjun, Liu, Lingli, Xia, Jianyang, Wang, Han, Yu, Kailiang, Zhu, Zaichun, Zhu, Peng, Li, Xing, Liu, Hui, Zeng, Yelu, Yan, Kai, Liu, Liyang, Lafortezza, Raffaele, Su, Yongxian, Meng, Yanqiong, Pan, Yixuan, Yang, Xueqin, Fu, Yongshuo H., He, Nianpeng, Yuan, Wenping, Chen, Xiuzhi | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Plant Phenology, Reflectance, Anisotropy | |
| Contrasting biophysical impacts of vegetation growth and type transition greening on local temperature in southwestern China | Dong, Na, Liu, Zhen, Xu, Ru, Huang, Hua-Bing | Land Use/Land Cover Classification, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Surface Temperature, Emissivity | |
| Dynamics and patterns of land cover change in the Piura River Basin (Peruvian Pacific slope and coast) in the last two decades | Castillon, Fiorela, Rau, Pedro, Bourrel, Luc, Frappart, Frederic | Land Use/Land Cover Classification | |
| Dynamics of Land and Water Resources of South Asia | Rani, Seema, Arzjani, Zahra | Land Use/Land Cover Classification | |
| Dynamic land-cover maps in the Guangdong-Hong Kong-Macao Greater Bay Area at 30 m spatial resolution, 2000-2022 | Li, Yue, Liu, Qiang, Chen, Shuang, Lv, Lingfeng, Han, Xinpei, Jia, Run, Bu, Lingchen, Zhang, Xiaotong | Land Use/Land Cover Classification | |
| Dynamic monitoring of vegetation phenology on the Qinghai-Tibetan plateau from 2001 to 2020 via the MSAVI and EVI | Zhao, Zhijian, Lu, Chengfang, Tonooka, Hideyuki, Wu, Lei, Lin, Hui, Jiang, Xunyan | Land Use/Land Cover Classification, Reflectance | |
| Dual effects on vegetation caused by urban expansion in global drylands: | Qi, Tao, He, Chunyang, Ren, Qiang, Wang, Yida, Cao, Shengpeng | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Environmental factors determining the distribution patterns of invasive Raphidiopsis raciborskii and R. mediterranea in central east Europe | Kokocinski, Mikoaj, Graco-Roza, Caio, Jasser, Iwona, Karosiene, Jurate, Kasperoviciene, Jurate, Kobos, Justyna, Koreiviene, Judita, Mankiewicz-Boczek, Joanna, Soininen, Janne, Szczurowska, Agnieszka | Land Use/Land Cover Classification | |
| ESD Ideas: Near-real-time preliminary detection of carbon dioxide source and sink areas using a Laplacian filter | Savytska, Yana, Smolii, Viktor, Weitzel, Nils | Atmospheric Carbon Dioxide, Carbon Dioxide, Land Use/Land Cover Classification | |
| Enhancing hydrological modelling with reanalysis soil moisture: A | Liu, Lingxue, Ren, Yufeng, Li, Zirui, Zhou, Li | Land Use/Land Cover Classification | |
| Enhancing prediction of wildfire occurrence and behavior in Alaska using | Ahajjam, A., Allgaier, M., Chance, R., Chukwuemeka, E., Putkonen, J., Pasch, T. | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Albedo, Anisotropy | |
| Heat and Drought Events Alter Biogenic Capacity to Balance CO2 Budget in SouthWestern Europe | SeguraBarrero, R., Lauvaux, T., Lian, J., Ciais, P., Badia, A., Ventura, S., Bazzi, H., Abbessi, E., Fu, Z., Xiao, J., Li, X., Villalba, G. | Land Use/Land Cover Classification, Reflectance | |
| Heavy Metal Contamination in the Mahoning River, Ohio | Zeeshan, M., Ehsani, S., Deschenes, R., Armstrong, F., Shellito, B. | Land Use/Land Cover Classification | |
| Hydrological drivers of maize productivity: A new analytical framework | Zhang, Qichen, Shen, Xiaofang, Dong, Weihong, Su, Xiaosi, Wan, Yuyu, Lyu, Hang, Song, Tiejun | Precipitation, Rain, Precipitation Amount, Precipitation Rate, Snow, Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Vegetation Productivity | |
| How does bias correction impact simulated drought characteristics by | Nguyen-Ngoc-Bich, Phuong, Le, Manh-Hung, Phan-Van, Tan, Ngo-Duc, Thanh, Tran-Bui-Anh, Tuan, Trinh-Tuan, Long, Ngo-Thi-Thanh, Huong, Pham-Tien, Dat, Tangang, Fredolin T., Juneng, Liew, Cruz, Faye, Chung, Jing Xiang, Dado, Julie, Santisirisomboon, Jerasorn, Bolten, John D., Lakshmi, Venkataraman | Land Use/Land Cover Classification | |
| Improved daily PM2.5 estimates in India reveal inequalities in recent enhancement of air quality | Kawano, Ayako, Kelp, Makoto, Qiu, Minghao, Singh, Kirat, Chaturvedi, Eeshan, Dahiya, Sunil, Azevedo, Ines, Burke, Marshall | Population Size, Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness | |
| Improved evapotranspiration estimation using the Penman-Monteith | Jawad, Muhammad, Behrangi, Ali, Farmani, Mohammad Ali, Qiu, Yuan, Sohi, Hossein Yousefi, Gupta, Aniket, Niu, Guo-Yue | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Evapotranspiration, Latent Heat Flux, Land Use/Land Cover Classification | |
| Improved global estimates of terrestrial evapotranspiration using the MODIS and VIIRS sensors | Endsley, K. Arthur, Zhao, Maosheng, Kimball, John S., Albrethsen, Tyler, Devadiga, Sadashiva | Albedo, Anisotropy, Land Use/Land Cover Classification, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Reflectance, Topographical Relief Maps, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Increased terrestrial ecosystem respiration in China estimated by land-atmosphere coupling model | Wang, Tuanhui, Zhang, Yue, Turup, Abdusalam, Zhang, Aiguo, Li, Longhui | Land Use/Land Cover Classification | |
| Increasing Cumulative Impacts of Droughts Under Climate Change Does Not Alter the Ecosystem Resilience in India | Bejagam, Vijaykumar, Sharma, Ashutosh | Land Use/Land Cover Classification | |
| Increasing global human exposure to wildland fires despite declining burned area | Teymoor Seydi, Seyd, Abatzoglou, John T., Jones, Matthew W., Kolden, Crystal A., Filippelli, Gabriel, Hurteau, Matthew D., AghaKouchak, Amir, Luce, Charles H., Miao, Chiyuan, Sadegh, Mojtaba | Land Use/Land Cover Classification, Reflectance | |
| Identifying conservation gaps and proposing climate-smart strategies for | Sui, Lu-Lu, Yao, Zhong-Yi, Ma, Shun, Shi, Sheng-Chao, Shi, Xiu-Dong, Liang, Li-Wen, Tan, Song, Wang, Jie, Cai, Bo, Xie, Feng, Chen, Jing-Feng, Wang, Bin, Jiang, Jian-Ping, Qi, Yin | Land Use/Land Cover Classification | |
| Impact Matters: Detection and Early Warning of Agriculturally Impactful | Mohammadi, Koushan, Wang, Guiling | Land Use/Land Cover Classification, 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, Plant Phenology, Enhanced Vegetation Index (EVI) |