N: 90 S: -90 E: 180 W: -180
Description
The MCD12Q1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MCD12Q1 Version 6.1 data product.
The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type (MCD12Q1) Version 6 data product provides global land cover types at yearly intervals (2001-2020), derived from six different classification schemes listed in the User Guide. The MCD12Q1 Version 6 data product is derived using supervised classifications of MODIS Terra and Aqua reflectance data. The supervised classifications then undergo additional post-processing that incorporate prior knowledge and ancillary information to further refine specific classes.
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 Hierarchical Data Format 4 (HDF4) file.
Known Issues
- The "units" field is missing in the metadata, however, this information can be found in the table above or on page 5 of the User Guide.
- Known issues are described on pages 3 and 4 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 (A2003001), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h16v00), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2018144112435), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Biodiversity risk assessment and management for infrastructure projects | Xiao, Huiyun, Li, Sheng, Kang, Aili, Corlett, Richard T., Ma, Keping, Shen, Xiaoli | Land Use/Land Cover Classification | |
| 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) |