Regional surface soil heat flux estimate from multiple remote sensing data in a temperate and semiarid basin

Nana Li, Li Jia*, Jing Lu, Massimo Menenti, J. Zhou

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
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Abstract

The regional surface soil heat flux (G0) estimation is very important for the large-scale land surface process modeling. However, most of the regional G0 estimation methods are based on the empirical relationship between G0 and the net radiation flux. A physical model based on harmonic analysis was improved (referred to as "HM model") and applied over the Heihe River Basin northwest China with multiple remote sensing data, e.g., FY-2C, AMSR-E, and MODIS, and soil map data. The sensitivity analysis of the model was studied as well. The results show that the improved model describes the variation of G0 well. Land surface temperature (LST) and thermal inertia (Γ) are the two key input variables to the HM model. Compared with in situ G0, there are some differences, mainly due to the differences between remote-sensed LST and the in situ LST. The sensitivity analysis shows that the errors from-7 to-0.5K in LST amplitude and from-300 to 300J m-2 K-1 s-0.5 in Γ will cause about 20% errors, which are acceptable for G0 estimation.

Original languageEnglish
Article number016028
JournalJournal of Applied Remote Sensing
Volume11
Issue number1
DOIs
Publication statusPublished - 1 Jan 2017

Keywords

  • arid and semiarid area
  • Harmonic analysis model
  • regional soil heat flux
  • remote sensing data
  • thermal inertia

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