N: 90 S: -90 E: 180 W: -180
Description
The MOD11C1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD11C1 Version 6.1 data product.
The MOD11C1 Version 6 product provides daily Land Surface Temperature and Emissivity (LST&E) values in a 0.05 degree (5,600 meters at the equator) latitude/longitude Climate Modeling Grid (CMG). The MOD11C1 product is directly derived from the MOD11B1 product. A CMG granule follows a Geographic grid, having 7,200 columns and 3,600 rows, which represent the entire globe. Each MOD11C1 product consists of the following layers for daytime and nighttime observations: LSTs, quality control assessments, observation times, view zenith angles, number of clear-sky observations, and emissivities from bands 20, 22, 23, 29, 31, and 32 (bands 31 and 32 are daytime only) along with the percentage of land in the grid.
Known Issues
- Production of V6 Terra MODIS Land Surface Temperature and Emissivity (LST&E) data products was discontinued on November 16, 2022, due to significant loss of data retrieval following the Constellation Exit Maneuvers.
- 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.
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File Naming Convention
The file name begins with the Product Short Name (MOD11C1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002281), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015161103507), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
Dataset Resources
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Evaluating the influence of climate change on the deterioration and | Xiao, Rui, Sushama, Laxmi, Meguid, Mohamed A., Zayed, Tarek | Emissivity, Land Surface Temperature | |
| Land surface information from satellites boost near-surface temperature forecast skill | Ruiz-Vasquez, Melissa, O, Sungmin, Brenning, Alexander, Reichstein, Markus, Balsamo, Gianpaolo, Orth, Rene | Emissivity, Land Surface Temperature | |
| Predicting the spatio-temporal risk of human tick-borne encephalitis | Dagostin, Francesca, Erazo, Diana, Marini, Giovanni, Da Re, Daniele, Tagliapietra, Valentina, Avdicova, Maria, Avsic-Zupanc, Tatjana, Dub, Timothee, Fiorito, Nahuel, Knap, Natasa, Gossner, Celine M., Kerlik, Jana, Makela, Henna, Markowicz, Mateusz, Olyazadeh, Roya, Richter, Lukas, Wint, William, Zuccali, Maria Grazia, Zygutiene, Milda, Dellicour, Simon, Rizzoli, Annapaola | Emissivity, Land Surface Temperature | |
| Area of land degradation in arid regions from 2000 to 2023 | KIMURA, Reiji, MORIYAMA, Masao | Land Use/Land Cover Classification, Reflectance, Emissivity, Land Surface Temperature | |
| Diagnosing aerosolmeteorological interactions on snow within Earth system models: a proof-of-concept study over High Mountain Asia | Roychoudhury, Chayan, He, Cenlin, Kumar, Rajesh, Arellano Jr., Avelino F. | Reflectance, Dust/Ash/Smoke, Carbonaceous Aerosols, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Dimethyl Sulfide, Aerosol Particle Properties, Particulate Matter, Aerosols, Surface Pressure, Pressure Thickness, Relative Humidity, Sea Salt, Black Carbon, Air Mass/Density, Aerosol Concentration, Deposition, Longwave Radiation, Shortwave Radiation, Atmospheric Radiation, Radiative Flux, Radiative Forcing, Surface Radiative Properties, Albedo, Emissivity, Cloud Properties, Cloud Fraction, Cloud Optical Depth/Thickness, Skin Temperature, Skin Temperature, Sea Surface Skin Temperature, Land Surface Temperature, Snow Cover, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, PARTICULATE MATTER (PM 2.5), PARTICULATE MATTER (PM 1.0), PARTICULATE MATTER (PM 10), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Atmospheric Ozone, Sea Level Pressure, U/V Wind Components, U/V Wind Components, Potential Vorticity, Vertical Wind Velocity/Speed, Vertical Profiles, Upper Air Temperature, Air Temperature, Specific Humidity, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Altitude, Geopotential Height, Ozone Profiles, Surface Temperature, Dew Point Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, Upper Level Winds, Atmospheric Pressure, Cloud Top Pressure, Sea Level Pressure, Total Precipitable Water, Oxygen Compounds, Boundary Layer Winds, Albedo, Snow Depth, Snow Water Equivalent, Heat Flux, Water Vapor, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Soil Heat Budget, Soil Heat Budget, Soil Temperature, Soil Temperature, Soil Infiltration, Soil Infiltration, Soil Moisture/Water Content, Surface Soil Moisture, Root Zone Soil Moisture, Soil Moisture/Water Content, Surface Water, Runoff Rate, Average Flow, Average Flow, Snow Depth, Snow Melt, Snow/Ice Temperature, Leaf Area Index (LAI), Leaf Area Index (LAI) | |
| Expanding grassland coverage to maintain ecohydrological sustainability in the agro-pastoral ecotone of northwest China | Zhu, Yuzuo, Xu, Xuefeng | Emissivity, Land Surface Temperature | |
| Global intraday land surface temperature estimation of enhanced coverage by fusion of passive microwave data between different polar orbits | Song, Peilin, Wang, Mengran, Xu, Ronghan, Chen, Lin, Liao, Jie, Wu, Shengli, Li, Guicai, Hu, Xiuqing | Emissivity, Land Surface Temperature | |
| Is satellite land surface temperature an appropriate proxy for intra-urban variability of daytime heat stress? | Briegel, Ferdinand, Pinto, Joaquim G., Christen, Andreas | Emissivity, Land Surface Temperature | |
| Integrating systematic review, meta-analysis, and secondary data for | Sangrat, Waratida, Sajapitak, Somchai, Boonyawiwat, Visanu, Thongratsakul, Sukanya, Poolkhet, Chaithep | Emissivity, Land Surface Temperature | |
| Patterns and trends of heat and wildfire smoke indicators across ruralurban and social vulnerability gradients in Idaho | Seydi, Seyd Teymoor, Pierce, Jennifer, Abatzoglou, John T, Radin, Anna, Sims, Ethan, Flint, Hilary, Wicks, Stephanie, Henderson, Eric, Chittoori, Bhaskar, Sadegh, Mojtaba | Emissivity, Land Surface Temperature | |
| On the added value of sequential deep learning for the upscaling of evapotranspiration | Kraft, Basil, Nelson, Jacob A., Walther, Sophia, Gans, Fabian, Weber, Ulrich, Duveiller, Gregory, Reichstein, Markus, Zhang, Weijie, Ruwurm, Marc, Tuia, Devis, Korner, Marco, Hamdi, Zayd, Jung, Martin | Reflectance, Anisotropy, Land Surface Temperature, Emissivity, Albedo | |
| The Process-Cognizant Vegetation Drought Model (PCVDM): Analyzing | Zhang, Zhimei, Jiao, Zhijun, Wu, Lixin | Land Use/Land Cover Classification, Reflectance, Emissivity, Land Surface Temperature | |
| TECs (v1): A Terrestrial Ecosystem Carbon Cycle Simulator Integrated With Spectral Reflection and Emission | Liu, Haoran, Chen, Min | Emissivity, Land Surface Temperature | |
| Evaluating the Impact of Atmospheric CO2 Emissions via Super Resolution of Remote Sensing Data | Rakotoharisoa, Andrianirina, Cenci, Simone, Arcucci, Rossella | Emissivity, Land Surface Temperature | |
| Observed links between heatwaves and wildfires across Northern High Latitudes | Hegedus, D, Ballinger, A P, Hegerl, G C | Emissivity, Land Surface Temperature | |
| X-BASE: the first terrestrial carbon and water flux products from an | Nelson, Jacob A., Walther, Sophia, Gans, Fabian, Kraft, Basil, Weber, Ulrich, Novick, Kimberly, Buchmann, Nina, Migliavacca, Mirco, Wohlfahrt, Georg, Sigut, Ladislav, Ibrom, Andreas, Papale, Dario, Gockede, Mathias, Duveiller, Gregory, Knohl, Alexander, Hortnagl, Lukas, Scott, Russell L., Dusek, Jiri, Zhang, Weijie, Hamdi, Zayd Mahmoud, Reichstein, Markus, Aranda-Barranco, Sergio, Ardo, Jonas, Op de Beeck, Maarten, Billesbach, Dave, Bowling, David, Bracho, Rosvel, Brummer, Christian, Camps-Valls, Gustau, Chen, Shiping, Cleverly, Jamie Rose, Desai, Ankur, Dong, Gang, El-Madany, Tarek S., Euskirchen, Eugenie Susanne, Feigenwinter, Iris, Galvagno, Marta, Gerosa, Giacomo A., Gielen, Bert, Goded, Ignacio, Goslee, Sarah, Gough, Christopher Michael, Heinesch, Bernard, Ichii, Kazuhito, Jackowicz-Korczynski, Marcin Antoni, Klosterhalfen, Anne, Knox, Sara, Kobayashi, Hideki, Kohonen, Kukka-Maaria, Korkiakoski, Mika, Mammarella, Ivan, Gharun, Mana, Marzuoli, Riccardo, Matamala, Roser, Metzger, Stefan, Montagnani, Leonardo, Nicolini, Giacomo, O'Halloran, Thomas, Ourcival, Jean-Marc, Peichl, Matthias, Pendall, Elise, Ruiz Reverter, Borja, Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Schmidt, Marius, Schwalm, Christopher R., Shekhar, Ankit, Silberstein, Richard, Silveira, Maria Lucia, Spano, Donatella, Tagesson, Torbern, Tramontana, Gianluca, Trotta, Carlo, Turco, Fabio, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vivoni, Enrique R., Wang, Yi, Woodgate, William, Yepez, Enrico A., Zhang, Junhui, Zona, Donatella, Jung, Martin | 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, Emissivity, Land Surface Temperature, Reflectance, Anisotropy, Albedo, Land Use/Land Cover Classification | |
| Dry-to-Wet Soil Gradients Enhance Convection and Rainfall over Subtropical South America | Chug, Divyansh, Dominguez, Francina, Taylor, Christopher M., Klein, Cornelia, Nesbitt, Stephen W. | Precipitation, Brightness Temperature, Reflectance, Total Surface Water, Emissivity, Land Surface Temperature, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Impact of High Concentrations of Saharan Dust Aerosols on Infrared-based Land Surface Temperature Products | Stante, Francesco, Ermida, Sofia L., DaCamara, Carlos C., Gottsche, Frank-Michael, Trigo, Isabel F. | Land Surface Temperature, Emissivity, Vegetation Index, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Normalized Difference Vegetation Index (NDVI) | |
| Observation and Process Understanding of Typical Cloud Holes above Lakes over the Tibetan Plateau | Yao, Xiangnan, Yang, Kun, Letu, Husi, Zhou, Xu, Wang, Yan, Ma, Xiaogang, Lu, Hui, La, Zhu | Emissivity, Land Surface Temperature | |
| Monitoring of recent aridification in Turkiye using MODIS satellite data from 2000 to 2021 | Kimura, Reiji, Moriyama, Masao, Saylan, Levent | Reflectance, Emissivity, Land Surface Temperature | |
| The role of recall periods when predicting food insecurity: A machine learning application in Nigeria | Villacis, Alexis H., Badruddoza, Syed, Mishra, Ashok K., Mayorga, Joaquin | Emissivity, Land Surface Temperature | |
| Consistent cooling benefits of silvopasture in the tropics | Zeppetello, Lucas R. Vargas, Cook-Patton, Susan C., Parsons, Luke A., Wolff, Nicholas H., Kroeger, Timm, Battisti, David S., Bettles, Joseph, Spector, June T., Balakumar, Arjun, Masuda, Yuta J. | Emissivity, Land Surface Temperature | |
| An integrated framework for mapping nationwide daily temperature in China | Zhong, Shaobo, Ye, Xinlan, Wang, Mingxing, Mei, Xin, Song, Dunjiang, Wang, Wenhui | Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Emissivity, Land Surface Temperature | |
| Experience-based food insecurity and agricultural productivity in Nigeria | Villacis, Alexis H., Mayorga, Joaquin, Mishra, Ashok K. | Emissivity, Land Surface Temperature | |
| How shrinkage of Lake Chad affects the local climate | Zhao, Siyu, Cook, Kerry H., Vizy, Edward K. | Emissivity, Land Surface Temperature, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| Day_view_angl | View zenith angle of day observation | Degree | uint8 | 255 | 0 to 130 | N/A | -65 |
| Day_view_time | Local time of day observation | Hours | uint8 | 255 | 0 to 120 | 0.2 | N/A |
| Emis_20 | Band 20 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_20_night | Nighttime Band 20 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_22 | Band 22 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_22_night | Nighttime Band 22 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_23 | Band 23 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_23_night | Nighttime Band 23 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_29 | Band 29 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_29_night | Nighttime Band 29 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_31 | Band 31 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_32 | Band 32 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| LST_Day_CMG | Day Land Surface Temperature | Kelvin | uint16 | 0 | 7500 to 65535 | 0.02 | N/A |
| LST_Night_CMG | Night Land Surface Temperature | Kelvin | uint16 | 0 | 7500 to 65535 | 0.02 | N/A |
| Night_view_angl | View zenith angle of night observation | Degree | uint8 | 255 | 0 to 130 | N/A | -65 |
| Night_view_time | Local time of night observation | Hours | uint8 | 255 | 0 to 120 | 0.2 | N/A |
| Percent_land_in_grid | Percentage of land in the grid | Percent | uint8 | 0 | 1 to 100 | N/A | N/A |
| QC_Day | Daytime LST Quality Indicators | Bit Field | uint8 | N/A | 0 to 255 | N/A | N/A |
| QC_emis | Daytime emissivity quality indicators | Bit Field | uint8 | N/A | 0 to 255 | N/A | N/A |
| QC_Emis_night | Nighttime emissivity quality indicators | Bit Field | uint8 | N/A | 0 to 255 | N/A | N/A |
| QC_Night | Nighttime LST Quality indicators | Bit Field | uint8 | N/A | 0 to 255 | N/A | N/A |