4.7 Article

Validation of AVHRR Land Surface Temperature with MODIS and In Situ LST-A TIMELINE Thematic Processor

Journal

REMOTE SENSING
Volume 13, Issue 17, Pages -

Publisher

MDPI
DOI: 10.3390/rs13173473

Keywords

Land Surface Temperature; AVHRR; MODIS; time series; Europe; validation; TIMELINE

Funding

  1. German Aerospace Center (DLR)
  2. DLR headquarters

Ask authors/readers for more resources

Land Surface Temperature (LST) is crucial for tracking the impact of changing climatic conditions, and satellite-derived LST is essential for consistently monitoring these changes over large areas and long time periods. The TIMELINE project successfully derived stable LST time series from multi-decadal AVHRR data, with errors mainly influenced by the LST level.
Land Surface Temperature (LST) is an important parameter for tracing the impact of changing climatic conditions on our environment. Describing the interface between long- and shortwave radiation fluxes, as well as between turbulent heat fluxes and the ground heat flux, LST plays a crucial role in the global heat balance. Satellite-derived LST is an indispensable tool for monitoring these changes consistently over large areas and for long time periods. Data from the AVHRR (Advanced Very High-Resolution Radiometer) sensors have been available since the early 1980s. In the TIMELINE project, LST is derived for the entire operating period of AVHRR sensors over Europe at a 1 km spatial resolution. In this study, we present the validation results for the TIMELINE AVHRR daytime LST. The validation approach consists of an assessment of the temporal consistency of the AVHRR LST time series, an inter-comparison between AVHRR LST and in situ LST, and a comparison of the AVHRR LST product with concurrent MODIS (Moderate Resolution Imaging Spectroradiometer) LST. The results indicate the successful derivation of stable LST time series from multi-decadal AVHRR data. The validation results were investigated regarding different LST, TCWV and VA, as well as land cover classes. The comparisons between the TIMELINE LST product and the reference datasets show seasonal and land cover-related patterns. The LST level was found to be the most determinative factor of the error. On average, an absolute deviation of the AVHRR LST by 1.83 K from in situ LST, as well as a difference of 2.34 K from the MODIS product, was observed.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available