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

Remote Sensing

Jose Sobrino¹  Stefanie Holzwarth²  Philipp Reiners²  Sarah Asam²  Claudia Kuenzer²  Martin Bachmann²  Frank-M. Göttsche³  Jörg Bendix⁴  Corinne Frey⁵ 

[1] Department of Earth Physics Thermodynamics, University of Valencia, 46100 Burjassot, Spain;German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), 82234 Wessling, Germany;Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research—Atmospheric Trace Gases and Remote Sensing, 76021 Karlsruhe, Germany;Laboratory for Climatology and Remote Sensing, Faculty of Geography, University of Marburg, 35032 Marburg, Germany;Rosenthaler + Partner AG, 4132 Muttenz, Switzerland;

关键词: Land Surface Temperature;    AVHRR;    MODIS;    time series;    Europe;    validation;   

DOI  :  10.3390/rs13173473

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown