Disaggregation of remotely sensed land surface temperature: A generalized paradigm

Yunhao Chen, Wenfeng Zhan, Jinling Quan, Ji Zhou, Xiaolin Zhu, Hao Sun

Research output: Journal article publicationJournal articleAcademic researchpeer-review

26 Citations (Scopus)

Abstract

The environmental monitoring of earth surfaces requires land surface temperatures (LSTs) with high temporal and spatial resolutions. The disaggregation of LST (DLST) is an effective technique to obtain high-quality LSTs by incorporating two subbranches, including thermal sharpening (TSP) and temperature unmixing (TUM). Although great progress has been made on DLST, the further practice requires an in-depth theoretical paradigm designed to generalize DLST and then to guide future research before proceeding further. We thus proposed a generalized paradigm for DLST through a conceptual framework (C-Frame) and a theoretical framework (T-Frame). This was accomplished through a Euclidean paradigm starting from three basic laws summarized from previous DLST methods: the Bayesian theorem, Tobler's first law of geography, and surface energy balance. The C-Frame included a physical explanation of DLST, and the T-Frame was created by construing a series of assumptions from the three basic laws. Two concrete examples were provided to show the advantage of this generalization. We further derived the linear instance of this paradigm based on which two classical DLST methods were analyzed. This study finally discussed the implications of this paradigm to closely related topics in remote sensing. This paradigm develops processes to improve an understanding of DLST, and it could be used for guiding the design of future DLST methods.
Original languageEnglish
Article number6719505
Pages (from-to)5952-5965
Number of pages14
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume52
Issue number9
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Keywords

  • Disaggregation
  • generalized paradigm
  • land surface temperature (LST)
  • temperature unmixing (TUM)
  • thermal remote sensing
  • thermal sharpening (TSP)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

Cite this