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 |
|---|---|---|---|
| Towards physically consistent soil roughness for CIMR L-band soil | Mondal, Debolina, Karthikeyan, Lanka, Konkathi, Preethi, Link, Moritz, Fernandez-Moran, Roberto, Piles, Maria, Li, Xiaojun, Wigneron, Jean-Pierre | Land Use/Land Cover Classification, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Leaf Characteristics, Photosynthetically Active Radiation, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Vegetation Carbon Use Efficiency Across Management Zones in the | Xiao, Qiangsong, Wang, Yuzhi, Cai, Leshan, Chen, Baozhang | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Widespread controls of precipitation sensitivity on drought recovery of global forests | Hong, Yixue, Petrie, Matthew D., Zhang, Yu, Chen, Yaping, Huang, Heng, Chen, Hao | Land Use/Land Cover Classification, Vegetation Index, Landscape Patterns | |
| Wildfires of war in Ukraine: Implications for fire governance in a changing world | Sydorenko, Serhii, Kaczmarowski, Jan, Thacker, Fiona Newman, Warner, Jeroen Frank, Sydorenko, Svitlana, Stoof, Cathelijne R. | Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Green steel for post-war Ukraine | Devlin, A., Mykhnenko, V., Zagoruichyk, A., Salmon, N., Soldak, M. | Land Use/Land Cover Classification | |
| High resolution global forest burned area changes monitoring using | Zhang, Zhaoming, Qi, Baoye, He, Guojin, Wang, Mengmeng, Huang, Shunguo, Long, Tengfei, Wang, Guizhou, Xu, Zekun | Land Use/Land Cover Classification | |
| Satellite Data in Agricultural and Environmental Economics: Theory and | Wuepper, David, Oluoch, Wyclife Agumba, Hadi, Hadi | Land Use/Land Cover Classification, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps | |
| Satellite data-driven estimation of daily and 500 m net ecosystem | Wang, Xian, Zhang, Yongqiang, Zhang, Xuanze, He, Shaoyang, Kong, Dongdong, Tian, Jing, Wei, Haoshan, Wang, Longhao, Quan, Yu, Zheng, Yufeng, Wang, Yingping | Land Use/Land Cover Classification | |
| The Downscaled GOME-2 SIF Based on Machine Learning Enhances the | Hu, Chenyu, Xie, Pinhua, Hu, Zhaokun, Li, Ang, Feng, Haoxuan | Land Use/Land Cover Classification | |
| The contribution of fires to PM2.5 and population exposure in the Asia Pacific region | Lu, Hua, Xie, Min, Wang, Nan, Liu, Bojun, Jiang, Jinyue, Zhuang, Bingliang, Zhang, Ying, Wu, Meixuan, Yang, Jianfeng, Lv, Kunqin, Ma, Danyang | Land Use/Land Cover Classification, Land Surface Temperature, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES | |
| Stakeholder perceptions of drought resilience using government drought | Chengot, Rishma, Goodwin, Daniel, Tanguy, Maliko, Armitage, Rachael, Pardthaisong, Liwa, Jha, Srinidhi, Holman, Ian, Vicario, Dolores Rey, Visessri, Supattra, Ekkawatpanit, Chaiwat, Hannaford, Jamie | Land Use/Land Cover Classification, Evapotranspiration, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Study of conservation, propagation, phenology and habitat preferences | Trimanto, Renjana, Elga, Rahadiantoro, Apriyono, Yulia, Nina Dwi, Lestari, Dewi Ayu, Firdiana, Elok Rifqi, Masudah, Shofiyatul, Ningrum, Linda Wige, Hapsari, Lia, Latifah, Dian, Hardwick, Kate | Land Use/Land Cover Classification | |
| Substantial Contribution of Woody Components to Rainfall Interception in | Jiang, ZhiYun, He, Wei, Chen, ZhiAng, Van Stan, John T., Guo, Li, Yuan, Chuan, Ma, YuJun, Zhang, SiYi, Li, XiaoYan, Zhang, Yu, Wang, DaGang, Liu, JinZhao, Jing, Ye, Sun, Ge, Hu, ZhongMin | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Substantial root-zone water storage capacity observed by GRACE and GRACE/FO | Zhao, Meng, McCormick, Erica L., A, Geruo, Konings, Alexandra G., Li, Bailing | Land Use/Land Cover Classification, Carbon, Cation Exchange Capacity, Organic Matter | |
| Subsurface storage of previous year's precipitation contributes to | Yu, Zongxu, Wang, Ping, Yu, Jingjie, Wang, Tianye | Land Use/Land Cover Classification | |
| Spring phenology and productivity alter vegetation vulnerability under | Zhang, Gengxi, Wang, Huimin, Zhang, Shuyu, Gan, Thian Yew, Zhao, Jin, Su, Xiaoling, Fu, Xiaolei | Land Use/Land Cover Classification, Terrestrial Ecosystems, Biomass, LIDAR WAVEFORM | |
| Spatiotemporal Variations in Compound Extreme Events and Their Cumulative and Lagged Effects on Vegetation in the Northern Permafrost Regions from 1982 to 2022 | Dong, Yunxia, Liu, Guimin, Wu, Xiaodong, Wang, Lin, Xu, Haiyan, Yang, Sizhong, Wu, Tonghua, Abakumov, Evgeny, Zhao, Jun, Cui, Xingyuan, Shao, Meiqi | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Spatiotemporal variations of extreme climate and their effects on vegetation growth in the northern permafrost regions during 19822022 | Dong, Yunxia, Liu, Guimin, Wu, Xiaodong, Wang, Lin, Yang, Sizhong, Wu, Tonghua, Xu, Haiyan, Abakumov, Evgeny, Zhao, Jun, Cui, Xingyuan, Shao, Meiqi | Land Use/Land Cover Classification | |
| Spatiotemporal Vegetation Dynamics, Forest Loss, and Recovery: | Ignatius, Amber R., Annis, Ashley N., Helton, Casey A., Reeb, Alec W., Ricke, Dylan F. | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Plant Characteristics, Plant Phenology, Vegetation Cover, Vegetation Index | |
| Spatial-temporal cross-view contrast for self-supervised crop yield | Qiao, Mengjia, He, Xiaohui, Cheng, Xijie, Li, Panle, Zheng, Kai, Xu, Mingchen, Chen, Yijun | Land Use/Land Cover Classification | |
| Synergistic Effects of Drivers on Spatiotemporal Changes in Carbon and Water Use Efficiency in Irrigated Cropland Ecosystems | Li, Guangchao, Yi, Zhaoqin, Qian, Tiantian, Chang, Yuhan, Gao, Hanjing, Yu, Fei, Han, Liqin, Lu, Yayan, Zuo, Kangjia | Land Use/Land Cover Classification | |
| Synergizing machine learning and interpolation methods: A Stacking | Rong, Jiaming, Zeng, Jiangyuan, Chen, Kun-Shan, Ma, Hongliang, Shi, Pengfei, Letu, Husi, Zhang, Xiang, Gu, Xihui, Bi, Haiyun, Zhang, Chunlin | Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Sustainable Water Management Using Rainfall-Runoff Modelling in Rift Valley Basin, East Africa | Yoshe, Agegnehu Kitanbo | Land Use/Land Cover Classification | |
| Spatiotemporal dynamics and drivers of algal blooms in chinese lakes: A multi-phenological index analysis | Yang, Yufeng, Gao, Wei, Zhang, Yuan, Li, Feilong, Guo, Fen | Land Use/Land Cover Classification | |
| Spatiotemporal Dynamics and Drivers of Vegetation Carbon Sinks in | Xu, Juntao, Thi Hang, Nguyen, Ran, Mengqi, Kong, Junqia | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) |