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 |
|---|---|---|---|
| Divergent Impacts of Precipitation Regimes on Autumn Phenology in the Northern Hemisphere Mid to HighLatitudes | Nie, Yangjing, Wu, Zhaofei, Chen, Shouzhi, Xu, Yue, Gong, Yufeng, Wang, Hongzhou, Xiao, Yi, Liu, Zunchi, Fu, Yongshuo H. | Land Use/Land Cover Classification | |
| Divergent Seasonal Biophysical Effects Induced by the Three Gorges | Li, Hongbin, Wang, Weiguang, Liu, Guoshuai, Castelli, Fabio, Forzieri, Giovanni | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Evapotranspiration, Latent Heat Flux, Albedo, Anisotropy | |
| Country- specific progress toward the Sustainable Development Goals: | Xing, Qiang, Lu, Linlin, Wang, Li, Chen, Fang, Liu, Jianguo, Pradhan, Prajal, Bryan, Brett A., Moallemi, Enayat A., Gao, Lei, Schaubroeck, Thomas, Carrasco, L. Roman, Banik, Dan, Xu, Zhenci, Li, Yingjie, Zhang, Linxiu, Ding, Tianran, Liu, Jiuliang, Zeng, Yuxi, Wu, Chaoyang | Plant Phenology, Enhanced Vegetation Index (EVI), 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 | |
| Convective potential and fuel availability complement near-surface | Su, Hongxuan, Yu, Yan, Guo, Weidong, Mao, Jiafu | Land Use/Land Cover Classification | |
| Mapping near-real-time soil moisture dynamics over Tasmania with transfer learning | Widyastuti, Marliana Tri, Padarian, Jose, Minasny, Budiman, Webb, Mathew, Taufik, Muh, Kidd, Darren | Land Use/Land Cover Classification | |
| Mapping seamless surface water dynamics over East Africa semimonthly at | Wang, Zirui, Hao, Zhen, Yang, Qichi, Mapfumo, Paul, Nyakudya, Elijah, Du, Yun, Yan, Xue, Ling, Feng | Land Use/Land Cover Classification | |
| Plant Phenology Index leveraging over conventional vegetation indices to | Marsh, Hanna, Jin, Hongxiao, Duan, Zheng, Holst, Jutta, Eklundh, Lars, Zhang, Wenxin | Land Use/Land Cover Classification | |
| PM 2.5 reduces the daytime/nighttime urban heat island intensity over | Feng, Zihao, Wang, Xuhong, Yu, Mengqianxi, Yuan, Yimei, Li, Bingqian | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Natural emissions of VOC and NOx over Africa constrained by TROPOMI HCHO and NO2 data using the MAGRITTEv1.1 model | Opacka, Beata, Stavrakou, Trissevgeni, Muller, Jean-Francois, De Smedt, Isabelle, van Geffen, Jos, Marais, Eloise A., Horner, Rebekah P., Millet, Dylan B., Wells, Kelly C., Guenther, Alex B. | Land Use/Land Cover Classification | |
| Predicting suitable habitats for Asian elephant (Elephas maximus) in Tropical Asia under changing climatic scenarios | Abir, Kazi Al Muqtadir, Dey, Biplob, Redowan, Mohammad, Haque, Ashraful, Ahmed, Romel | Land Use/Land Cover Classification | |
| Policies that improved land conditions | Land Use/Land Cover Classification | ||
| Potential for bird-insect phenological mismatch in a tri-trophic system | Belitz, Michael W., Larsen, Elise A., Hurlbert, Allen H., Di Cecco, Grace J., Neupane, Naresh, Ries, Leslie, Tingley, Morgan W., Guralnick, Robert P., Youngflesh, Casey | Land Use/Land Cover Classification | |
| Pre-Season Precipitation and Temperature Have a Larger Influence on | Zhang, Yuanyuan, Wang, Qingtao, Zhang, Xueyuan, Guo, Zecheng, Guo, Xiaonan, Ma, Changhui, Wei, Baocheng, He, Lei | Land Use/Land Cover Classification | |
| Precipitation leads the long-term vegetation increase in the conterminous United States drylands | Chang, Yuhe, Winkler, Alexander J, Noori, Amirhossein, Knyazikhin, Yuri, Myneni, Ranga B | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Shortwave Radiation, Vapor Pressure | |
| Local GDP Estimates Around the World | Rossi-Hansberg, Esteban, Zhang, Jialing | Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| Local temperature impact of urban heat mitigation strategy based on WRF | Chen, Jingqi, Dong, Na, Liu, Zhen, Chen, Yimin, Luo, Ming, Huang, Huabing | Land Use/Land Cover Classification | |
| Net Primary Productivity Is Driven by Aridity Index and Phenological Phase in Forest Region of China | Cui, Qinghong, Xiao, Xiao, Hong, Zhujun, Ren, Siyuan, Wang, Bo | Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Nonlinear influences of climatic, vegetative, geographic and soil factors on soil water use efficiency of global karst landscapes: Insights from explainable machine learning | Li, Chao, Zhang, Shiqiang, Ding, Yongjian, Ma, Siyu, Gong, Hanying | Land Use/Land Cover Classification | |
| Nighttime lights reveal substantial spatial heterogeneity and inequality in post-hurricane recovery | Zheng, Qiming, Zeng, Yiwen, Zhou, Yuyu, Wang, Zhuosen, Mu, Te, Weng, Qihao | Land Use/Land Cover Classification | |
| Observed Changes in Maximum and Minimum Temperatures and Daily | Corell, David, Estrela, Maria Jose, Miro, Juan Javier, OrgambidesGarcia, David, Niclos, Raquel | Land Use/Land Cover Classification | |
| Minimal expansion of shrubland on the Tibetan Plateau over the past three decades | Liu, Li, Yao, Daijun, Zhao, Guang, Zheng, Zhoutao, Zong, Ning, Zhao, Yan, Huang, Ke, Cong, Nan, Zhang, Yu, Jiang, Qianxin, He, Yunlong, Wu, Wenchao, Zhang, Yangjian | Land Use/Land Cover Classification | |
| Landscape change and perception along historical railway: the case of Yunnan-Vietnam Railway, China | Sang, Kun, Xiang, Luoning, Lin, Guiye | Land Use/Land Cover Classification |