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Data Details

1-km/Daily Land Surface Temperature Optimized Dataset for the Qinghai-Tibet Plateau Based on MODIS Data (2000-2020)

XU Xunpeng1,2,3ZHANG Yu1,2,3JI Luyan1,2TANG Hairong*1,2,3
1 Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China2 the Key Laboratory of Technology in Geo-Spatial information Processing and Application System,Chinese Academy of Sciences,Beijing 100190,China3 the School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 101408,China


Published:Oct. 2023

Visitors:1440       Data Files Downloaded:62      
Data Downloaded:420894.09 MB      Citations:

Key Words:

Qinghai-Tibet Plateau,Daily Land Surface Temperature,1 KM,2000-2020,MODIS


Remote sensing data has strong correlation and continuity in space and time, so time series remote sensing images have low-rank property. In this dataset, we repaired images using low-rank tensor complementation. Firstly, we preprocessed the MODIS land surface temperature data and employed spatio-temporal interpolation to initially fill in the missing values caused by cloud cover. Secondly, we treated the land surface temperature time series data as a third-order spatio-temporal tensor and introduced Fourier transform on the time dimension to convert it into a space-frequency tensor. By performing singular value decomposition and Gaussian low-pass filtering on this tensor, followed by inverse Fourier transform, we obtained a space-time tensor. Lastly, we further optimized the missing tensor using the alternating direction method of multipliers. The data accuracy using the method was validated through simulation experiments, where artificial masks were added and subsequently recovered. The resulting mean absolute error (MAE) falls within the range of 2.1℃ to 4.9℃. This dataset includes the following data for the Tibetan Plateau on a daily basis for the years 2000-2020: (1) the optimized surface temperature data for the cloud-shaded regions of the MOD11A1, MYD11A1 products (MOD11A1_QTP_PART, MYD11A1_QTP_PART); (2) optimized MOD11A1/MYD11A1 data (MOD11A1_QTP_TEMP, MYD11A1_QTP_TEMP); and (3) original MOD11A1 and MYD11A1 products (MOD11A1_QTP_ORIGIN, MOD11A1_QTP_ORIGIN). All data have a spatial resolution of 1 km and are stored in an integer data format, with pixel value representing the thermodynamic temperature of the surface with a scale factor of 0.02 in Kelvin. The dataset is archived in .tif format, and consists of 43833 data files with data size of 143 GB (compressed into 21 files with 138 GB).

Foundation Item:

Ministry of Science and Technology of P. R. China (2019QZKK0206, 31400)

Data Citation:

XU Xunpeng, ZHANG Yu, JI Luyan, TANG Hairong*. 1-km/Daily Land Surface Temperature Optimized Dataset for the Qinghai-Tibet Plateau Based on MODIS Data (2000-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023.


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Data Product:

ID Data Name Data Size Operation
1 7275523.18KB
2 6349158.06KB
3 6362764.59KB
4 6314531.37KB
5 6394055.92KB
6 5324148.56KB
7 6989428.24KB
8 8998683.20KB
9 7503032.21KB
10 7491827.06KB
11 7495040.18KB
12 5977959.02KB
13 6497189.51KB
14 7615230.22KB
15 5572843.90KB
16 6251151.51KB
17 8263666.06KB
18 6072739.88KB
19 7632944.11KB
20 9152098.35KB
21 6097492.06KB