N: 90 S: -90 E: 180 W: -180
Description
The MYD21 Version 6.1 Land Surface Temperature and Emissivity (LST&E) swath data product is produced daily in five minute temporal increments of satellite acquisition. The swath is approximately 2,030 pixels along track and 1,354 pixels per line, at a nadir resolution of 1,000 meters. The MYD21 Land Surface Temperature (LST) algorithm differs from the MYD11 algorithm in that the MYD21 LST algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MYD11 uses the split-window technique. The MYD21 TES algorithm uses a physics-based algorithm to dynamically retrieve both LST and spectral emissivity simultaneously from the MODIS thermal infrared bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions. Additional details regarding the method used to create this Level 2 (L2) product are available in the Algorithm Theoretical Basis Document (ATBD).
Known Issues
- Users of MODIS LST products may notice an increase in occurrences of extreme high temperature outliers in the unfiltered MxD21 Version 6 and 6.1 products compared to the heritage MxD11 LST products. This can occur especially over desert regions like the Sahara where undetected cloud and dust can negatively impact both the MxD21 and MxD11 retrieval algorithms.
- In the MxD11 LST products, these contaminated pixels are flagged in the algorithm and set to fill values in the output products based on differences in the band 32 and band 31 radiances used in the generalized split window algorithm. In the MxD21 LST products, values for the contaminated pixels are retained in the output products (and may result in overestimated temperatures), and users need to apply Quality Control (QC) filtering and other error analyses for filtering out bad values. High temperature outlier thresholds are not employed in MxD21 since it would potentially remove naturally occurring hot surface targets such as fires and lava flows.
- High atmospheric aerosol optical depth (AOD) caused by vast dust outbreaks in the Sahara and other deserts highlighted in the example documentation are the primary reason for high outlier surface temperature values (and corresponding low emissivity values) in the MxD21 LST products. Future versions of the MxD21 product will include a dust flag from the MODIS aerosol product and/or brightness temperature look up tables to filter out contaminated dust pixels. It should be noted that in the MxD11B day/night algorithm products, more advanced cloud filtering is employed in the multi-day products based on a temporal analysis of historical LST over cloudy areas. This may result in more stringent filtering of dust contaminated pixels in these products.
- In order to mitigate the impact of dust in the MxD21 V6 and 6.1 products, the science team recommends using a combination of the existing QC bits, emissivity values, and estimated product errors, to confidently remove bad pixels from analysis. For more details, refer to this dust and cloud contamination example documentation.
- 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 (MYD21) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025224), the Hours and Minutes of Acquisition provided as HHMM (0930), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025225001922), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
DATA QUALITY
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Reconstruction of Cloudy Land Surface Temperature by Combining Surface Energy Balance Theory and Solar-cloud-satellite Geometry | Du, Wenhui, Li, Zhao-Liang, Qin, Zhihao, Fan, Jinlong, Liu, Xiangyang, Zhao, Chunliang, Cao, Kun | Land Surface Temperature, Emissivity | |
| Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information | Song, Peilin, Li, Xiaojie, Ma, Zonghan, Wu, Shengli | Land Surface Temperature, Emissivity | |
| Systematic Underestimation of Canopy Conductance Sensitivity to Drought | Green, J. K., Zhang, Y., Luo, X., Keenan, T. F. | Carbon Monoxide, Geopotential Height, Tropopause, Methane, Atmospheric Ozone, Surface Pressure, Outgoing Longwave Radiation, Air Temperature, Upper Air Temperature, Humidity, Total Precipitable Water, Water Vapor, Water Vapor Profiles, Cloud Liquid Water/Ice, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Skin Temperature, Sea Surface Temperature, Land Surface Temperature, Leaf Area Index (LAI), Normalized Difference Vegetation Index (NDVI) | |
| 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) | |
| Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data | Jia, Aolin, Liang, Shunlin, Wang, Dongdong, Ma, Lei, Wang, Zhihao, Xu, Shuo | Land Surface Temperature, Emissivity | |
| Global long-term mapping of surface temperature shows intensified intra-city urban heat island extremes | Mentaschi, Lorenzo, Duveiller, Gregory, Zulian, Grazia, Corbane, Christina, Pesaresi, Martino, Maes, Joachim, Stocchino, Alessandro, Feyen, Luc | Land Surface Temperature, Emissivity, Natural Hazards, Infrastructure, Sustainability, Land Use/Land Cover | |
| Offset of MODIS land surface temperatures from in situ air temperatures in the upper Kaskawulsh Glacier region (St. Elias Mountains) indicates near-surface ... | Kindstedt, Ingalise, Schild, Kristin M., Winski, Dominic, Kreutz, Karl, Copland, Luke, Campbell, Seth, McConnell, Erin | Land Surface Temperature, Sea Surface Temperature, Emissivity, REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance, Albedo | |
| Simultaneous retrieval of land surface temperature and emissivity from the FengYun-4A advanced geosynchronous radiation imager | Liu, Weihan, Shi, Jiancheng, Liang, Shunlin, Zhou, Shugui, Cheng, Jie | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Emissivity, Land Surface Temperature, Reflectance | |
| Modeling the angular effect of MODIS LST in urban areas: A case study of Toulouse, France | Wang, Dandan, Chen, Yunhao, Hu, Leiqiu, Voogt, James A., Gastellu-Etchegorry, Jean-Philippe, Krayenhoff, E. Scott | Land Surface Temperature, Emissivity | |
| NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms | Cawse-Nicholson, Kerry, Townsend, Philip A., Schimel, David, Assiri, Ali M., Blake, Pamela L., Buongiorno, Maria Fabrizia, Campbell, Petya, Carmon, Nimrod, Casey, Kimberly A., Correa-Pabon, Rosa Elvira, Dahlin, Kyla M., Dashti, Hamid, Dennison, Philip E., Dierssen, Heidi, Erickson, Adam, Fisher, Joshua B., Frouin, Robert, Gatebe, Charles K., Gholizadeh, Hamed, Gierach, Michelle, Glenn, Nancy F., Goodman, James A., Griffith, Daniel M., Guild, Liane, Hakkenberg, Christopher R., Hochberg, Eric J., Holmes, Thomas R.H., Hu, Chuanmin, Hulley, Glynn, Huemmrich, Karl F., Kudela, Raphael M., Kokaly, Raymond F., Lee, Christine M., Martin, Roberta, Miller, Charles E., Moses, Wesley J., Muller-Karger, Frank E., Ortiz, Joseph D., Otis, Daniel B., Pahlevan, Nima, Painter, Thomas H., Pavlick, Ryan, Poulter, Ben, Qi, Yi, Realmuto, Vincent J., Roberts, Dar, Schaepman, Michael E., Schneider, Fabian D., Schwandner, Florian M., Serbin, Shawn P., Shiklomanov, Alexey N., Stavros, E. Natasha, Thompson, David R., Torres-Perez, Juan L., Turpie, Kevin R., Tzortziou, Maria, Ustin, Susan, Yu, Qian, Yusup, Yusri, Zhang, Qingyuan | Land Surface Temperature, Emissivity | |
| Estimating regional soil moisture with synergistic use of AMSR2 and MODIS images | Rahimzadegan, Majid, Davari, Arash, Sayadi, Ali | Land Surface Temperature, Emissivity | |
| Generating the 30-m land surface temperature product over continental China and USA from Landsat 5/7/8 data | Cheng, Jie, Meng, Xiangchen, Dong, Shengyue, Liang, Shunlin | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Cloudy-sky land surface temperature from VIIRS and MODIS satellite data using a surface energy balance-based method | Jia, Aolin, Ma, Han, Liang, Shunlin, Wang, Dongdong | Land Surface Temperature, Emissivity, Reflectance, Albedo, Anisotropy, Shortwave Radiation | |
| Retrieving land surface temperature from Chinese FY-3D MERSI-2 data using an operational split window algorithm | Tang, Kai, Zhu, Hongchun, Ni, Ping, Li, Ruibo, Fan, Cheng | Land Surface Temperature, Emissivity | |
| Toward operational validation systems for global satellite-based terrestrial essential climate variables | Bayat, Bagher, Camacho, Fernando, Nickeson, Jaime, Cosh, Michael, Bolten, John, Vereecken, Harry, Montzka, Carsten | Brightness Temperature, Microwave Imagery, Soil Moisture/Water Content, Vegetation Water Content, Evapotranspiration, Latent Heat Flux, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, Emissivity, Land Surface Temperature, Normalized Difference Vegetation Index (NDVI), Albedo, Anisotropy, Reflectance, Sea Surface Temperature | |
| A detailed comparison of MYD11 and MYD21 land surface temperature products in mainland China | Yao, Rui, Wang, Lunche, Wang, Shaoqiang, Wang, Lizhe, Wei, Jing, Li, Junli, Yu, Deqing | Land Surface Temperature, Emissivity | |
| An Operational Split-Window Algorithm for Retrieving Land Surface | Li, Ruibo, Li, Hua, Sun, Lin, Yang, Yikun, Hu, Tian, Bian, Zunjian, Cao, Biao, Du, Yongming, Liu, Qinhuo | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| A multi-sensor approach to retrieve emissivity angular dependence over desert regions | Ermida, Sofia L., Trigo, Isabel F., Hulley, Glynn, DaCamara, Carlos C. | Land Surface Temperature, Emissivity | |
| New ECOSTRESS and MODIS land surface temperature data reveal fine-scale heat vulnerability in cities: A case study for Los Angeles County, California | Hulley, Glynn, Shivers, Sarah, Wetherley, Erin, Cudd, Robert | Population, Land Surface Temperature, Emissivity | |
| Influence of emissivity angular variation on land surface temperature retrieved using the generalized split-window algorithm | Hu, Tian, Li, Hua, Cao, Biao, van Dijk, Albert I.J.M., Renzullo, Luigi J., Xu, Zhihong, Zhou, Jun, Du, Yongming, Liu, Qinhuo | Land Surface Temperature, Emissivity | |
| A physics-based algorithm for the simultaneous retrieval of land surface temperature and emissivity from VIIRS thermal infrared data | Islam, Tanvir, Hulley, Glynn C., Malakar, Nabin K., Radocinski, Robert G., Guillevic, Pierre C., Hook, Simon J. | Land Surface Temperature, Emissivity, Surface Radiative Properties, Reflectance, Vegetation Index, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Normalized Difference Vegetation Index (NDVI) |
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 |
|---|---|---|---|---|---|---|---|
| Emis_29 | Band 29 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_29_err | Band 29 emissivity error | N/A | uint16 | 0 | 1 to 65535 | 0.0001 | N/A |
| Emis_31 | Band 31 emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_31_err | Band 31 emissivity error | N/A | uint16 | 0 | 1 to 65535 | 0.0001 | N/A |
| Emis_32 | Band 32 emissivity | Select Units | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Emis_32_err | Band 32 emissivity error | N/A | uint16 | 0 | 1 to 65535 | 0.0001 | N/A |
| Emis_ASTER | ASTER Global Emissivity Dataset (GED) emissivity | N/A | uint8 | 0 | 1 to 255 | 0.002 | 0.49 |
| Latitude | Pixel latitude | Degree | float32 | 999 | -90 to 90 | N/A | N/A |
| Longitude | Pixel longitude | Degree | float32 | 999 | -180 to 180 | N/A | N/A |
| LST | Land surface temperature | Kelvin | uint16 | 0 | 7500 to 65535 | 0.02 | N/A |
| LST_err | Land surface temperature error | Kelvin | uint8 | 0 | 1 to 255 | 0.04 | N/A |
| oceanpix | Ocean-land mask | N/A | uint8 | N/A | 0 to 1 | N/A | N/A |
| PWV | Precipitable water vapor | cm | uint16 | N/A | 0 to 65535 | 0.001 | N/A |
| QC | Quality Control (QC) for LST and emissivity | N/A | uint16 | N/A | 0 to 65535 | N/A | N/A |
| View_angle | MODIS view angle for current pixel | Degree | uint8 | N/A | 0 to 180 | 0.5 | N/A |