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 |
|---|---|---|---|
| Grouping-based time-series model for monitoring of fall peak coloration dates using satellite remote sensing data | Zhou, Qu, Sun, Xianghan, Tian, Liqiao, Li, Jian, Li, Wenkai | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Reflectance, Albedo, Anisotropy | |
| Assessment of NDVI variations in responses to climate change in the Horn of Africa | Ghebrezgabher, Mihretab G., Yang, Taibao, Yang, Xuemei, Eyassu Sereke, Temesghen | Land Use/Land Cover Classification | |
| Biomass burning spatiotemporal variations over South and Southeast Asia | Yin, Shuai | Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| CALIBRATION OF A SVAT MODEL IN THE CENTRAL ZONE OF MEXICO WITH IN-SITU | Huerta-Batiz, Hector Ernesto, Constantito-Recillas, Daniel Enrique, Monsivais-Huertero, Alejandro, Torres-Gomez, Aura Citlalli, Judge, Jasmeet | Land Use/Land Cover Classification | |
| Bare Earth's Surface Spectra as a Proxy for Soil Resource Monitoring | Dematte, Jose A. M., Safanelli, Jose Lucas, Poppiel, Raul Roberto, Rizzo, Rodnei, Silvero, Nelida Elizabet Quinonez, Mendes, Wanderson de Sousa, Bonfatti, Benito Roberto, Dotto, Andre Carnieletto, Salazar, Diego Fernando Urbina, Mello, Fellipe Alcantara de Oliveira, Paiva, Ariane Francine da Silveira, Souza, Arnaldo Barros, Santos, Natasha Valadares dos, Maria Nascimento, Claudia, Mello, Danilo Cesar de, Bellinaso, Henrique, Gonzaga Neto, Luiz, Amorim, Merilyn Taynara Accorsi, Resende, Maria Eduarda Bispo de, Vieira, Julia da Souza, Queiroz, Louise Gunter de, Gallo, Bruna Cristina, Sayao, Veridiana Maria, Lisboa, Caroline Jardim da Silva | Land Use/Land Cover Classification | |
| Assessing terrestrial ecosystem resilience using satellite leaf area index | Wu, Jinhui, Liang, Shunlin | Land Use/Land Cover Classification | |
| Assessing the spatiotemporal variation of NPP and its response to driving factors in Anhui province, China | Yang, Hongfei, Hu, Dandan, Xu, Hao, Zhong, Xuanning | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Assessment of uncertainty sources in snow cover simulation in the Tibetan Plateau | Jiang, Yingsha, Chen, Fei, Gao, Yanhong, He, Cenlin, Barlage, Michael, Huang, Wubin | Land Use/Land Cover Classification | |
| Assessment of soil erosion risk and its response to climate change in the mid-Yarlung Tsangpo River region | Wang, Li, Zhang, Fan, Fu, Suhua, Shi, Xiaonan, Chen, Yao, Jagirani, Muhammad Dodo, Zeng, Chen | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest | Kang, Yanghui, Ozdogan, Mutlu, Zhu, Xiaojin, Ye, Zhiwei, Hain, Christopher, Anderson, Martha | Land Use/Land Cover Classification, Reflectance, Anisotropy, Land Surface Temperature, Emissivity | |
| Comparison of EPIC-simulated and MODIS-derived leaf area index (LAI) across multiple spatial scales | Iiames, John S., Cooter, Ellen, Pilant, Andrew N., Shao, Yang | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification | |
| LIDA: A Land Integrated Data Assimilation Framework for Mapping Land | Abdolghafoorian, Abedeh, Farhadi, Leila | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Land use/land cover change (2000-2014) in the Rio de la Plata grasslandsAn analysis based on MODIS NDVI time series | Baeza, Santiago, Paruelo, Jose M. | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Isolating the Impacts of Land Use/Cover Change and Climate Change on the | You, Nanshan, Meng, Jijun, Zhu, Lijun, Jiang, Song, Zhu, Likai, Li, Feng, Kuo, LiJen | Land Use/Land Cover Classification, Reflectance, Photosynthesis, Primary Production, Vegetation Productivity | |
| MODIS Fractional Snow Cover Mapping Using Machine Learning Technology in | Liu, Changyu, Huang, Xiaodong, Li, Xubing, Liang, Tiangang | Land Use/Land Cover Classification | |
| Monitoring Crop Growth During the Period of the Rapid Spread of COVID-19 | Wang, Yan, Peng, Dailiang, Yu, Le, Zhang, Yaqiong, Yin, Jie, Zhou, Leilei, Zheng, Shijun, Wang, Fumin, Li, Cunjun | Land Use/Land Cover Classification, Reflectance | |
| Monitoring droughts in the greater Changbai Mountains using multiple remote sensing-based drought indices | Han, Yang, Li, Ziying, Huang, Chang, Zhou, Yuyu, Zong, Shengwei, Hao, Tianyi, Niu, Haofang, Yao, Haiyan | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Emissivity, Land Surface Temperature, Total Surface Precipitation Rate | |
| Monitoring for changes in spring phenology at both temporal and spatial scales based on MODIS lst data in south korea | Lim, Chi Hong, Jung, Song Hie, Kim, A Reum, Kim, Nam Shin, Lee, Chang Seok | Land Use/Land Cover Classification, Reflectance | |
| Monitoring land cover change detection with NOAA-AVHRR and MODIS remotely sensed data in the North and West of Africa from 1982 to 2015 | Henchiri, Malak, Ali, Shahzad, Essifi, Bouajila, Kalisa, Wilson, Zhang, Sha, Bai, Yun | Land Use/Land Cover Classification | |
| Modeling Spatial Heterogeneity in Surface Turbulent Heat Flux in the US | Williams, Ian N., Lee, Jungmin M., Tadic, Jovan, Zhang, Yunyan, Chu, Housen | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Soil Classification, Soil Chemistry, Soil Bulk Density, Nitrogen, Carbon, Soil Horizons/Profile, Soil Moisture/Water Content, Soil Water Holding Capacity | |
| Modelling geospatial distributions of the triatomine vectors of | Bender, Andreas, Python, Andre, Lindsay, Steve W., Golding, Nick, Moyes, Catherine L. | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Satellite detection of varying seasonal water supply restrictions on grassland productivity in the Missouri basin, USA | A, Geruo, Velicogna, Isabella, Zhao, Meng, Colliander, Andreas, Kimball, John S. | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Spatiotemporal changes in forest loss and its linkage to burned areas in China | Wu, Zhiwei, Yan, Saijia, He, Lei, Shan, Yanlong | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| The Carbon Cycle Influence on Tornadoes | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Air Temperature, Carbon Monoxide, Cloud Fraction, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Geopotential Height, Methane, Outgoing Longwave Radiation, Atmospheric Ozone, Total Precipitable Water, Sea Surface Temperature, Surface Pressure, Surface Temperature, Sulfur Dioxide, Tropopause, Tropospheric Ozone, Upper Air Temperature, Water Vapor Profiles, Cloud Liquid Water/Ice, Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Brightness Temperature | ||
| Spatial and temporal distribution of biomass open burning emissions in the greater mekong subregion | Junpen, Agapol, Roemmontri, Jirataya, Boonman, Athipthep, Cheewaphongphan, Penwadee, Thao, Pham Thi Bich, Garivait, Savitri | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area |