Reconstruction of time-series modis lst in central qinghai-tibet plateau using geostatistical approach

Linghong Ke, Xiaoli Ding, Chunqiao Song

Research output: Journal article publicationJournal articleAcademic researchpeer-review

22 Citations (Scopus)


We present an approach for reconstructing land surface temperature (LST) time series over mountainous areas based on Regression Kriging (RK) technique and a data processing scheme for filtering out LST noise and artifacts. A total of 1462 eight-day composite Moderate Resolution Imaging Spectroradiometer LST images over central Qinghai-Tibet Plateau over 2003-2010 are reconstructed. The regression model includes four auxiliary predictors-latitude, longitude, elevation, and NDVI-which are proven to be a good estimator for the 8-day LST. Comparison of ground surface temperature (GST) measurements at eight meteorological stations with the raw and reconstructed LST series shows that the reconstruction strategy can effectively recover complete high-quality over-land LST maps and significantly improve the consistency between LST and GST.
Original languageEnglish
Article number6545342
Pages (from-to)1602-1606
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Issue number6
Publication statusPublished - 31 Oct 2013


  • Image analysis
  • image processing
  • image reconstruction
  • remote sensing
  • temperature.

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Geotechnical Engineering and Engineering Geology

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