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 |
|---|---|---|---|
| Study on the Response Mechanism of Climate and Land Use Change to Evapotranspiration in Aksu River Basin | Zheng, Gang, Wei, Guanghui, Han, Fanghong, Cao, Yan, Gao, Fan | Land Use/Land Cover Classification | |
| Strong Green-Up of Tropical Asia During the 2015/16 El Nino | Satriawan, T. W., Luo, X., Tian, J., Ichii, K., Juneng, L., Kondo, M. | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation | |
| Spatiotemporal variation of spring phenology and the corresponding scale | Zhu, Chongjing, She, Xiaojun, Gao, Xiaojie, Huang, Yajun, Zeng, Yelu, Ding, Chao, Fu, Dongjie, Shao, Jing, Li, Yao | Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Vulnerability of lowland and upland orchids in their spatially response to climate change and land cover change | Yudaputra, Angga, Munawaroh, Esti, Usmadi, Didi, Purnomo, Danang Wahyu, Astuti, Inggit Puji, Puspitaningtyas, Dwi Murti, Handayani, Tri, Garvita, R. Vitri, Aprilianti, Popi, Wawangningrum, Hary, Renjana, Elga, Handini, Elizabeth, Angio, Melisnawati H., Firdiana, Elok Rifqi, Witono, Joko Ridho, Juswara, Lina Susanti, Fijridiyanto, Izu Andry, Ariati, Siti Roosita, Yuzammi, Sudarmono, Sudarmono, Wanda, Irvan Fadli, Wibowo, Aninda Retno Utami, Wati, Richa Kusuma, Hutabarat, Prima Wahyu Kusuma, Raharjo, Puguh Dwi, Mar'atus Solihah, Saniyatun, Saputra, Reza, Cropper, Wendell P. | Land Use/Land Cover Classification | |
| Vegetation Water Content Retrieval from Spaceborne GNSS-R and | Zhang, Yongfeng, Bu, Jinwei, Zuo, Xiaoqing, Yu, Kegen, Wang, Qiulan, Huang, Weimin | Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Vertical accuracy of open-source remote sensing data (AW3D30, TanDEM-X, ATLAS) for understory terrain estimation | Huang, Jiapeng, Yang, Yi, Yu, Yang, Zhang, Yue | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Utilizing MODIS remote sensing and integrated data for forest fire | Dastour, Hatef, Hassan, Quazi K | Land Use/Land Cover Classification | |
| A global estimate of monthly vegetation and soil fractions from spatio-temporally adaptive spectral mixture analysis during 20012022 | Sun, Qiangqiang, Zhang, Ping, Jiao, Xin, Lin, Xin, Duan, Wenkai, Ma, Su, Pan, Qidi, Chen, Lu, Zhang, Yongxiang, You, Shucheng, Liu, Shunxi, Hao, Jinmin, Li, Hong, Sun, Danfeng | Land Use/Land Cover Classification, Reflectance, Anisotropy, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| A global forest burn severity dataset from Landsat imagery (20032016) | He, Kang, Shen, Xinyi, Anagnostou, Emmanouil N. | Land Use/Land Cover Classification | |
| A deep transfer learning framework for mapping high spatiotemporal resolution LAI | Zhou, Junxiong, Yang, Qi, Liu, Licheng, Kang, Yanghui, Jia, Xiaowei, Chen, Min, Ghosh, Rahul, Xu, Shaomin, Jiang, Chongya, Guan, Kaiyu, Kumar, Vipin, Jin, Zhenong | Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Leaf Characteristics, Photosynthetically Active Radiation, Reflectance, Anisotropy, Land Use/Land Cover Classification | |
| A ContinentalScale Estimate of Soil Organic Carbon Change at NEON Sites and Their Environmental and Edaphic Controls | Hu, Jie, Hartemink, Alfred E., Desai, Ankur R., Townsend, Philip A., Abramoff, Rose Z., Zhu, Zhe, Sihi, Debjani, Huang, Jingyi | Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| A New Method for Bare Permafrost Extraction on the Tibetan Plateau by | Li, Xiaoyang, Ji, Yuhe, Zhou, Guangsheng, Zhou, Li, Li, Xiaopeng, He, Xiaohui, Tian, Zhihui | Land Use/Land Cover Classification | |
| A multi-data approach to evaluate progress towards land degradation neutrality in Central Asia | Khazieva, Elizaveta, Malek, Ziga, Verburg, Peter H. | Land Use/Land Cover Classification | |
| Accurate statistical seasonal streamflow forecasts developed by incorporating remote sensing soil moisture and terrestrial water storage anomaly information | Wang, Mingxiu, Wyatt, Briana M., Ochsner, Tyson E. | Land Use/Land Cover Classification | |
| Aggravated multi-source air pollution exposure caused by open fires in China | Li, Xiaoyang, Cheng, Tianhai, Zhu, Hao, Ye, Xiaotong | Land Use/Land Cover Classification | |
| A roadmap to estimating agricultural ammonia volatilization over Europe using satellite observations and simulation data | Abeed, Rimal, Viatte, Camille, Porter, William C., Evangeliou, Nikolaos, Clerbaux, Cathy, Clarisse, Lieven, Van Damme, Martin, Coheur, Pierre-Francois, Safieddine, Sarah | Land Use/Land Cover Classification, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds | |
| A robust approach for large-scale cropping intensity mapping in | Qiu, Bingwen, Hu, Xiang, Yang, Peng, Tang, Zhenghong, Wu, Wenbin, Li, Zhengrong | Land Use/Land Cover Classification | |
| Accelerating effects of growing-season warming on tree seasonal | Qiao, Yuxin, Gu, Hongshuang, Xu, Hanfeng, Ma, Qimei, Zhang, Xin, Yan, Qin, Gao, Jie, Yang, Yuchuan, Rossi, Sergio, Smith, Nicholas G., Liu, Jianquan, Chen, Lei | Land Use/Land Cover Classification | |
| A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm | Hu, Lu, Zhao, Tianjie, Ju, Weimin, Peng, Zhiqing, Shi, Jiancheng, Rodriguez-Fernandez, Nemesio J., Wigneron, Jean-Pierre, Cosh, Michael H., Yang, Kun, Lu, Hui, Yao, Panpan | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Addressing Global Environmental Challenges to Mental Health Using Population Neuroscience: A Review | Schumann, Gunter, Andreassen, Ole A., Banaschewski, Tobias, Calhoun, Vince D., Clinton, Nicholas, Desrivieres, Sylvane, Brandlistuen, Ragnhild Eek, Feng, Jianfeng, Hese, Soeren, Hitchen, Esther, Hoffmann, Per, Jia, Tianye, Jirsa, Viktor, Marquand, Andre F., Nees, Frauke, Nothen, Markus M., Novarino, Gaia, Polemiti, Elli, Ralser, Markus, Rapp, Michael, Schepanski, Kerstin, Schikowski, Tamara, Slater, Mel, Sommer, Peter, Stahl, Bernd Carsten, Thompson, Paul M., Twardziok, Sven, van der Meer, Dennis, Walter, Henrik, Westlye, Lars, Heinz, Andreas, Lett, Tristram, Vaidya, Nilakshi, Serin, Emin, Neidhart, Maja, Jentsch, Marcel, Eils, Roland, Taron, Ulrike-Helene, Schutz, Tatjana, Banks, James Richard, Meyer-Lindenberg, Andreas, Tost, Heike, Holz, Nathalie, Schwarz, Emanuel, Stringaris, Argyris, Christmann, Nina, Jansone, Karina, Siehl, Sebastian, Ask, Helga, Fernandez-Cabello, Sara, Kjelkenes, Rikka, Tschorn, Mira, Bottger, Sarah Jane, Bernas, Antoine, Marr, Lena, Feixas Viapiana, Guillem, Eiroa-Orosa, Francisco Jose, Gallego, Jaime, Pastor, Alvaro, Forstner, Andreas J., Claus, Isabelle, Miller, Abigail, Heilmann-Heimbach, Stefanie, Boye, Mona, Wilbertz, Johannes, Schmitt, Karen, Petkoski, Spase, Pitel, Severine, Otten, Lisa, Athanasiadis, Anastasios-Polykarpos, Pearmund, Charlie, Spanlang, Bernhard, Alvarez, Elena, Sanchez, Mavi, Giner, Arantxa, Renner, Paul, Gong, Yanting, Dai, Yuxiang, Xia, Yunman, Chang, Xiao, Liu, Jingyu, Young, Allan, Ogoh, George | Nitrogen Dioxide, Sulfur Dioxide, Land Use/Land Cover Classification | |
| A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies | Yin, Ziyun, Lin, Peirong, Riggs, Ryan, Allen, George H., Lei, Xiangyong, Zheng, Ziyan, Cai, Siyu | Geopotential Height, Altitude, Surface Temperature, Skin Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Total Ozone, Land Use/Land Cover Classification | |
| A stronger advance of urban spring vegetation phenology narrows | Yang, Lu, Zhao, Shuqing | Land Use/Land Cover Classification | |
| Analysis of the Income Enhancement Potential of the Terrestrial Carbon Sink in China Based on Remotely Sensed Data | Ying, Jiaying, Jiang, Jiafei, Wang, Huayi, Liu, Yilin, Gong, Wei, Liu, Boming, Han, Ge | Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY | |
| An integrated assessment of extreme hydrometeorological events in | Moghim, Sanaz, Takallou, Ali | Land Use/Land Cover Classification | |
| An inversion model based on GEOS-Chem for estimating global and China's terrestrial carbon fluxes in 2019 | Wu, Chong-Yuan, Zhang, Xiao-Ye, Guo, Li-Feng, Zhong, Jun-Ting, Wang, De-Ying, Miao, Chang-Hong, Gao, Xiang, Zhang, Xi-Liang | Land Use/Land Cover Classification |