1km seamless land surface temperature dataset of China (2002-2020)

1km seamless land surface temperature dataset of China (2002-2020)


Kilometer-level spatially complete (seamless) land surface temperature products have a wide range of applications needs in climate change and other fields. Satellite retrieved LST has high reliability. Integrating the LST retrieved from thermal infrared and microwave remote sensing observation is an effective way to obtain the SLT with certain accuracy and spatial integrity. Based on this guiding ideology, the author developed a framework for retrieving 1km and seamless LST over China landmass, and generated the LST data set accordingly (2002-2020)

Firstly, a look-up table based empirical retrieval algorithm is developed for retrieving microwave LST from AMSR-E/AMSR2 observations. Then, AMSR-E/AMSR2 LST is downscaled by using geographic weighted regression to obtain 1km LST. Finally, the multi-scale Kalman filter is used to fuse AMSR-E/AMSR2 LST and MODIS LST to generate a 1km seamless LST data set.

The ground valuation results show that the root mean square error (RMSE) of the 1km seamless LST is about 3K. In addition, the spatial distribution of the 1km seamless LST is consistent with MODIS LST and CLDAS LST.


File naming and required software

File naming convention: MYD.ALLSKY.LST.yyyymmdd.flag.hdf (yyyymmdd: year, month, day, flag: identification of day and night, with values of 'Day' or 'Night', representing day and night respectively). For example, MYD.ALLSKY.LST.20100101.Day.hdf represents the surface temperature in the day on January 1, 2010.
Data format:. HDF
Data Description: each HDF file contains four sub datasets: Latitude, Longitude, Lst and Lst _ QC indicates latitude, longitude, land surface temperature products and quality control file respectively
Latitude: latitude data of the product. The data type is 64 byte floating-point type, and the data unit is degrees,the filling value is 999;
Longitude: longitude data of the product, the data type is 64 byte floating-point type, and the data unit is degrees,the filling value is 999;
Lst: all-weather surface temperature results, the data type is 16 byte unsigned integer, the data unit is k, the filling value is 0, scale is 0.02, offset is 0, that is, the real LST = LST * 0.02;
Lst_ QC: quality identification of all-weather surface temperature. See the data description document for the specific value meaning. The data type is 8-byte unsigned integer and the filling value is 255.
Data reading mode: it is stored in HDF format and can be processed by ArcGIS and other software or MATLAB
Data version No.: v1


Data Citations Data citation guideline What's data citation?
Cite as:

Cheng, J., Dong, S., Shi, J. (2021). 1km seamless land surface temperature dataset of China (2002-2020). National Tibetan Plateau Data Center, DOI: 10.11888/Meteoro.tpdc.271657. CSTR: 18406.11.Meteoro.tpdc.271657. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Xu, S., & Cheng, J. (2021). A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering. Remote Sensing of Environment, 254, 112256( View Details | Bibtex)

2. Zhang, Q., Wang, N., Cheng, J., & Xu, S. (2020). A Stepwise Downscaling Method for Generating High-Resolution Land Surface Temperature From AMSR-E Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5669-5681( View Details | Bibtex)

3. Zhang, Q., & Cheng, J. (2020). An Empirical Algorithm for Retrieving Land Surface Temperature From AMSR-E Data Considering the Comprehensive Effects of Environmental Variables. Earth and Space Science, 7, e2019EA001006. https://doi.org/10.1029/2019EA001006( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

Second Tibetan Plateau Scientific Expedition Program

2nd survey of Tibet plateau (No:2019QZKK0206)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

FTP Download Info

Ftp server: 210.72.14.198

Ftp username: download_577300

Ftp password: 00552439

The volume of this dataset is bigger than 1 GB. Please use FTP client tools (Filezilla or other else).
Follow
Keywords
Geographic coverage
East: 134.99 West: 73.55
South: 18.33 North: 53.47
Details
  • Temporal resolution: Daily
  • Spatial resolution: 1km - 10km
  • File size: 5,359,097 MB
  • Views: 2,325
  • Downloads: 121
  • Access: Open Access
  • Temporal coverage: 2002-07-04 To 2020-12-31
  • Updated time: 2021-09-30
Contacts
: CHENG Jie   DONG Shengyue   SHI Jiancheng  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

Attachments
Export metadata