Reconstructing complete MODIS LST based on temperature gradients in northeastern Qinghai-Tibet Plateau

Linghong Ke, Chunqiao Song, Xiaoli Ding

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)


MODIS LST products provided by NASA may suffer from missing values and noises from various sources, which can degrade the LST quality and hamper its efficient applications. The paper presents an algorithm to reconstruct complete LST image based on regression analysis of LST with elevation in each sliding window, after filtering low-quality and unreliable pixels. Comparison of reconstructed LST with meteorological temperature measurements (T) indicates that LST is significantly correlated with T with an average correlation coefficient of 0.96 and a mean absolute difference (MAE) of 2.02 K. LSTs and Ts show no significant differences at monthly and yearly scale. The differences between LSTs and Ts have certain correlations with their different spatial and temporal definitions; however some residual noises existing in the reconstructed LSTs indicate more meticulous algorithm needed to work out more accurate RS-LST data.
Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Number of pages4
Publication statusPublished - 1 Dec 2012
Event2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany
Duration: 22 Jul 201227 Jul 2012


Conference2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012


  • image reconstruction
  • LST
  • Qinghai-Tibet Plateau

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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