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 |
|---|---|---|---|
| Carbon accumulation rate peaks at 1,000-m elevation in tropical planted | Su, Yongxian, Li, Xueyan, Zhang, Chaoqun, Yan, Wenting, Ciais, Philippe, Cook-Patton, Susan C., Phillips, Oliver L., Shang, Jiali, Cescatti, Alessandro, Chen, Jing-Ming, Liu, Jane, Chave, Jerome, Doughty, Christopher E., Heinrich, Viola, Tian, Feng, Luo, Yiqi, Liu, Yi, Yu, Zhen, Hao, Dalei, Tao, Shengli, Zhang, Yongguang, Zeng, Zhenzhong, Lafortezza, Raffaele, Huang, Yuanyuan, Fan, Lei, Wang, Xuhui, Qin, Yuanwei, Ran, Qinwei, Yan, Kai, Liu, Xiaoping, Liu, Liyang, Yue, Yuemin, Ren, Jiashun, Yuan, Wenping, Chen, Xiuzhi | Land Use/Land Cover Classification | |
| Biome-Specific Responses of GOSIF Gross Primary Productivity to | Gu, Xingli, Zhou, Lei, Liang, Qin'ou, Xu, Enxiang, Chi, Yonggang | Air Temperature, Evapotranspiration, Rain, Soil Moisture/Water Content, Total Runoff, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Burned area detection and estimation of fire carbon emissions in Canada in 2023 using Landsat 8/9 and Sentinel 2 data | Zhang, Zhaoming, Qi, Baoye, Huang, Shunguo, Long, Tengfei, He, Guojin, Wang, Guizhou, Sun, Ying | Land Use/Land Cover Classification | |
| Can Large-Scale Satellite Products Track the Effects of Atmospheric | Wang, Xiaorong, Guo, Zhengfei, Zhang, Kun, Fu, Zheng, Lee, Calvin K. F., Yang, Dedi, Detto, Matteo, Zhang, Yongguang, Wu, Jin | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity | |
| Bridging hosts: Domestic horse density and Hendra virus spillover risk | Linnegar, Belinda, Hoegh, Andrew, McCallum, Hamish, Peel, Alison J. | Land Use/Land Cover Classification | |
| Aura Ozone Monitoring Instrument (OMI) Collection 4 Formaldehyde | Ayazpour, Zolal, Gonzalez Abad, Gonzalo, Nowlan, Caroline R., Sun, Kang, Kwon, HyeongAhn, Chan Miller, Christopher, Chong, Heesung, Wang, Huiqun, Liu, Xiong, Chance, Kelly, OSullivan, Ewan, Zhu, Lei, Vigouroux, Corinne, De Smedt, Isabelle, Stremme, Wolfgang, Hannigan, James W., Notholt, Justus, Sun, Xiaoyu, Palm, Mathias, Petri, Cristof, Strong, Kimberly, Rohling, Amelie N., Mahieu, Emmanuel, Smale, Dan, Te, Yao, Morino, Isamu, Murata, Isao, Nagahama, Tomoo, Kivi, Rigel, Makarova, Maria, Jones, Nicholas, Sussmann, Ralf, Zhou, Minqiang | Cloud Fraction, Cloud Top Pressure, Albedo, Anisotropy, Reflectance, Formaldehyde, Carbon And Hydrocarbon Compounds, ULTRAVIOLET RADIANCE, Solar Irradiance, 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, 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 | |
| Asymmetric spatial anomaly patterns of precipitation between light and very heavy precipitation over Indian urban agglomerations | Kalamalla, Lokesh, Satyanarayana, A. N. V. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Land Use/Land Cover Classification | |
| Atmospheric boundary layer heat budget and its urban-rural differences | Huang, Qianyue, Zhang, Yuanjie, Xin, Jialing, Li, Yubin, Qin, Yue, Wang, Linlin | Land Use/Land Cover Classification | |
| Benchmarking transferable evapotranspiration against physical models: Uncertainty analysis of machine learning quasi-observation across Central Asias plant functional types and climate zones | Ochege, Friday Uchenna, Yuan, Xiuliang, Tabari, Hossein, Hamdi, Rafiq, Luo, Geping | Land Use/Land Cover Classification | |
| AutoMergeNet: AutoML-Based M-Source Satellite Data Fusion Evaluated With | Wasala, Julia, Maasakkers, Joannes D., Schuit, Berend J., Leguijt, Gijs, Aben, Ilse, Schneider, Rochelle, Hoos, Holger, Baratchi, Mitra | Land Use/Land Cover Classification | |
| Association Between Deforestation and the Incidence of Snakebites in South Korea | Lee, Seoheui, Lee, Junyeong, Min, Kyung-Duk | Land Use/Land Cover Classification | |
| Bayesian Calibration of Management Practices for a Crop Model Implemented in a Subsistence Farming Region | Quintero, Diego, Mishra, Vikalp, Limaye, Ashutosh S., Van Abel, Nicole, Bright Ross, Julius, Rashid, Arif | Land Use/Land Cover Classification | |
| Assessing the elevational synchronization in vegetation phenology across | Yang, Chen, Tian, Feng, Jin, Hongxiao, Fensholt, Rasmus, Feng, Luwei, Tagesson, Torbern | Land Use/Land Cover Classification | |
| Assessing the impact of extreme climate events on European gross primary | Zhang, Huihui, Loaiciga, Hugo A, Okujeni, Akpona, Liu, Ji, Tan, Min, Sauter, Tobias | Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Evapotranspiration, Latent Heat Flux | |
| Assessing the Impact of Multi-Decadal Land Use Change on Agricultural | Gemechu, Tewekel Melese, Zhang, Huifang, Sun, Jialong, Chen, Baozhang | Land Use/Land Cover Classification | |
| Assessing the Effects of Climate Change and Anthropogenic Contributions in Parishan Wetland, Iran | Kazemi Garajeh, Mohammad, Valizadeh Kamran, Khalil, Feizizadeh, Bakhtiar, Ghaffari Aliabad, Omid, Saei, Mousa, Sadeqi, Amin | Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Assessment of global land cover changes using satellite data: | Chen, Shuo, Zhuang, Qianlai, Taheripour, Farzad, Yuan, Ye, Benavidez, Lauren | Land Use/Land Cover Classification | |
| Assessing the SMAP Level-4 Carbon Product over the Arctic and Subarctic Zones | Madelon, Remi, Kimball, John S., Endsley, K. Arthur, De Lannoy, Gabrielle J. M., Sonnentag, Oliver, Alcock, Haley, Detto, Matteo, Virkkala, Anna M., Rogers, Brendan M., Watts, Jennifer D., Mavrovic, Alex, Williamson, Scott N., Humphreys, Elyn, Colliander, Andreas, Mialon, Arnaud, Roy, Alexandre | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Assessing the utility of machine learning for predicting food sufficiency: a case study in Malawi | Tomes, Andrew, Gholami, Shahrzad, Alia, Didier, Hennessy, Conor, Xu, Dafeng, Bitz, Cecilia, Dodhia, Rahul, Lavista Ferres, Juan, Anderson, C. Leigh | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Applications of Machine Learning and Artificial Intelligence in | Hickman, Sebastian H. M., Kelp, Makoto M., Griffiths, Paul T., Doerksen, Kelsey, Miyazaki, Kazuyuki, Pennington, Elyse A., Koren, Gerbrand, Iglesias-Suarez, Fernando, Schultz, Martin G., Chang, Kai-Lan, Cooper, Owen R., Archibald, Alex, Sommariva, Roberto, Carlson, David, Wang, Hantao, West, J. Jason, Liu, Zhenze | Population Size, Land Use/Land Cover Classification | |
| Assessing the Interaction Between Agricultural, Hydrological, and Meteorological Droughts in the Tigris River Basin | Valizadeh Kamran, Khalil, Dhiab, Ayat, Abdulkareem, Hala | Land Use/Land Cover Classification, Albedo, Anisotropy | |
| Assessment of vegetation restoration potential in central Asia | Lv, Zhentao, Li, Shengyu, Xu, Xinwen, Lei, Jiaqiang, Peng, Zhongmin | Land Use/Land Cover Classification | |
| Comparative analysis of global urban land surface phenology between the | Yin, Peiyi, Li, Xuecao, Heiskanen, Janne, Pellikka, Petri | Land Use/Land Cover Classification | |
| Comparative analysis of long-term trends and climate sensitivity of spring phenology across forests, shrublands, and grasslands in the middlehigh latitudes of the ... | Zhang, Xiaoyong, Jia, Weiwei, Li, Yang, Luo, Ling, Atkinson, Peter | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI) | |
| Comparisons of forest mapping data sets in Sahel and their implications | Zhang, Tong, Liu, Ronggao, Liu, Yang, Wang, Guoqin, Chen, Jilong, Duan, Quan | Land Use/Land Cover Classification |