N: 90 S: -90 E: 180 W: -180
Description
The MOD21 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 MOD21 Land Surface Temperature (LST) algorithm differs from the MOD11 algorithm in that the MOD21 LST algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MOD11 uses the split-window technique. The MOD21 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 (MOD21) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025224), the Hours and Minutes of Acquisition provided as HHMM (1755), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025225012207), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| How to identify urban heat inequity? A systematic literature review of scales, indicators, pathways, and future directions | Lin, Yue, Zeng, Hui | Land Surface Temperature, Emissivity | |
| Integrating SatelliteBased and Participatory Spatial Analyses for Local, Contextualised, and Nuanced Extreme Heat Hotspot Mapping in Overheated Urban Southeast Asia | Delina, Laurence L., Pagkalinawan, Homer, Macagba, Sharon Feliza Ann | Land Surface Temperature, Emissivity | |
| 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 | |
| Gridded dataset on land surface temperature and selected environmental and socioeconomic features in Southeast Asian metropolises | Pagkalinawan, Homer, Delina, Laurence L, Macagba, Sharon Feliza Ann | Land Surface Temperature, Emissivity | |
| Soil and Atmospheric Drought Explain the Biophysical Conductance | Mallick, Kanishka, Sulis, Mauro, JimenezRodriguez, Cesar Dionisio, Hu, Tian, Jia, Aolin, Drewry, Darren T. | 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 | |
| Comparison of MODIS surface temperatures to in situ measurements on the Greenland Ice Sheet from 2014 to 2017 | Zikan, Karina H., Adolph, Alden C., Brown, Wesley P., Fausto, Robert S. | Land Surface Temperature, Emissivity, Albedo, Snow/Ice Temperature, Surface Melt, Water Vapor | |
| 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 | |
| NASAs MODIS/VIIRS globalwater reservoir product suite from moderate resolution remote sensing data | Li, Yao, Zhao, Gang, Shah, Deep, Zhao, Maosheng, Sarkar, Sudipta, Devadiga, Sadashiva, Zhao, Bingjie, Zhang, Shuai, Gao, Huilin | Lakes/Reservoirs, Total Surface Water, Bed Elevation, WATER SURFACE HEIGHT, Reflectance, Land Surface Temperature, Emissivity | |
| Study of the urban heat island (UHI) using remote sensing data/techniquesA systematic review | Almeida, Catia Rodrigues de, Teodoro, Ana Claudia, Goncalves, Artur | REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance, Land Surface Temperature, Emissivity, Sea Surface Temperature, Albedo, Reflectance | |
| Underground burning of Jharia coal mine (India) and associated surface deformation using InSAR data | Kim, Jungrack, Lin, Shih-Yuan, Singh, Ramesh P., Lan, Chen-Wei, Yun, Hye-Won | Land Surface Temperature, Emissivity | |
| 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 | |
| Land surface emissivity retrieval from multiple vegetation indicesa comparative study over India | Kodimalar, T., Vidhya, R., Eswar, R. | Land Surface Temperature, Emissivity, Vegetation Index, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Normalized Difference Vegetation Index (NDVI) | |
| 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 | |
| An operational land surface temperature product for Landsat thermal dataMethodology and validation | Malakar, Nabin K., Hulley, Glynn C., Hook, Simon J., Laraby, Kelly, Cook, Monica, Schott, John R. | Land Surface Temperature, Emissivity | |
| The Combined ASTER MODIS Emissivity over Land (CAMEL) Part 1: Methodology and High Spectral Resolution Application | Borbas, E. Eva, Hulley, Glynn, Feltz, Michelle, Knuteson, Robert, Hook, Simon | Emissivity, Vegetation Index, Snow Cover, Emissivity, Vegetation Index, Snow Cover, Land Surface Temperature, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Normalized Difference Vegetation Index (NDVI) | |
| 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) | |
| Test of the MODIS land surface temperature and emissivity separation algorithm with ground measurements over a rice paddy | Coll, Cesar, Garcia-Santos, Vicente, Niclos, Raquel, Caselles, Vicente | Land Surface Temperature, Emissivity | |
| Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data | Sobrino, J.A., Jimenez-Munoz, J.C., Soria, G., Ruescas, A.B., Danne, O., Brockmann, C., Ghent, D., Remedios, J., North, P., Merchant, C., Berger, M., Mathieu, P.P., Gottsche, F.-M. | Emissivity, Land Surface Temperature | |
| Evaluation of the VIIRS and MODIS LST products in an arid area of Northwest China | Li, Hua, Sun, Donglian, Yu, Yunyue, Wang, Hongyan, Liu, Yuling, Liu, Qinhuo, Du, Yongming, Wang, Heshun, Cao, Biao | Land Surface Temperature, Emissivity | |
| Thermal-based techniques for land cover change detection using a new dynamic MODIS multispectral emissivity product (MOD21) | Hulley, Glynn, Veraverbeke, Sander, Hook, Simon | Land Surface Temperature, Emissivity | |
| Validation of remotely sensed surface temperature over an oak woodland landscape - The problem of viewing and illumination geometries | Ermida, Sofia L., Trigo, Isabel F., DaCamara, Carlos C., Gottsche, Frank M., Olesen, Folke S., Hulley, Glynn | Land Surface Temperature, Emissivity |
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 |