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Universidade de Lisboa (2018)

The use of remotely sensed land surface temperature for climate monitoring

Bento, Virgílio

Titre : The use of remotely sensed land surface temperature for climate monitoring

Auteur : Bento, Virgílio

Université de soutenance : Universidade de Lisboa

Grade : Doutoramento em Ciências Geofísicas e da Geoinformação 2018

Résumé partiel
Satellite remote sensing of the Earth has been continuously performed from different satellite platforms/constellations since the 1960s. The amount of radiometric information available in organisations like the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) may be compiled in Fundamental Climate Data Records (FCDRs), allowing the retrieval of climate records of geophysical variables, such as Land Surface Temperature (LST). Climate Data Records (CDRs) may then be used in a wide range of applications – such as drought monitoring or climate change studies, among others. Nevertheless, instruments onboard satellites of the same series, spanning decades of observations, may have different characteristics, which imposes a difficulty in the retrieval of LST. One of the most notable examples is the electromagnetic channels at which the earth is observed by these instruments. EUMETSAT Meteosat First Generation (MFG) – first launched in 1977 and last launched in 1997 – was designed to carry an instrument with only one channel in the thermal infrared region of the electromagnetic spectrum. On the other hand, Meteosat Second Generation (MSG) satellites – first launched in 2004 and currently still in operation – were designed to cover two thermal infrared channels. Since retrievals of LST are based on information from that window of the electromagnetic spectrum, and retrieval algorithms are usually based on a split-windows (two adjacent thermal infrared windows) methodology – typically the Generalised Split Windows (GSW) – a different approach must be taken to homogenise the retrievals over a long period of time, with the aim of compiling an LST CDR. In this context, this thesis aims at developing single-channel/mono-window algorithms that can be used with information from MFG and MSG constellations of satellites


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