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HiTeSEM: A Satellite sensor concept for Hyperspectral Thermal Remote Sensing

Udelhoven, Thomas and Knigge, Thiemo and Schlerf, Martin and Bossung, Christian and Segl, Karl and Eisele, Andreas and Müller, Andreas and Storch, Tobias and Reulke, Ralf and Fischer, Peter and Rock, Gilles (2015) HiTeSEM: A Satellite sensor concept for Hyperspectral Thermal Remote Sensing. 36th International Symposium on Remote Sensing of Environment (ISRSE), 2015-05-11 - 2015-05-15, Berlin, Deutschland.

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Official URL: http://www.isrse36.org/wp-content/uploads/2015/01/ISRSE_2nd_announcement.pdf


HiTeSEM (High-resolution Temperature and Spectral Emissivity Mapping) is a preparatory study, funded by the German Aerospace Center (DLR) that aims preparing the floor for a future spaceborn hyperspectral thermal mission. Thermal remote sensing is poised to become a major source of information on land surface processes. HiTeSEM aims at closing the research gap still hampering utilization of the thermal infrared data at reasonable spectral and spatial resolution and focusses on surface-solid Earth interactions to assess natural and human-induced changes. Land surface temperature (LST) and spectral emissivity (LSE) of the Earth are the basis for the extraction of sensitive variables in geology, pedology, and vegetation monitoring. Towards this end, HiTeSEM will enable the research community to evaluate the potential of emissive spectroscopy methodologies in Earth observation to answer a series of key science questions related to global change, human health, and food security. Relevant target variables include soil mineral composition, soil organic matter (SOM), surface moisture availability, evapotranspiration and stomatal/surface conductance. These are key indicators for soil productivity and plant stress in sensitive regions and can be used to govern and adapt land use practices under challenging ecological and climatic conditions. In urban remote sensing HiTeSEM is expected to furnish important information to define thermal models, which implies knowledge of the surface material composition by means of spectral emissivity retrieval. The methodological challenge of HiTeSEM lies in the development of a robust high performance temperature emissivity separation (TES) technique to allow optimum pre-processing of the measured thermal radiance signal at the sensor level. From these scientific goals a series of mission and instrument requirements has been derived that can be summarized as follows:

Item URL in elib:https://elib.dlr.de/97506/
Document Type:Conference or Workshop Item (Speech)
Title:HiTeSEM: A Satellite sensor concept for Hyperspectral Thermal Remote Sensing
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Udelhoven, ThomasUniversity of TrierUNSPECIFIEDUNSPECIFIED
Knigge, ThiemoAirbus Defence and Space S.A.S.UNSPECIFIEDUNSPECIFIED
Schlerf, MartinLuxembourg Institute of Science and Technology (LIST)UNSPECIFIEDUNSPECIFIED
Bossung, ChristianUniversity of TrierUNSPECIFIEDUNSPECIFIED
Eisele, AndreasHelmholtz Centre PotsdamUNSPECIFIEDUNSPECIFIED
Storch, TobiasUNSPECIFIEDhttps://orcid.org/0000-0001-8853-8996UNSPECIFIED
Reulke, RalfInstitut für Optische SensorsystemeUNSPECIFIEDUNSPECIFIED
Rock, GillesUniversity of TrierUNSPECIFIEDUNSPECIFIED
Date:May 2015
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Hyperspektral, Thermal, Sensorkonzept
Event Title:36th International Symposium on Remote Sensing of Environment (ISRSE)
Event Location:Berlin, Deutschland
Event Type:international Conference
Event Start Date:11 May 2015
Event End Date:15 May 2015
Organizer:German Aerospace Center
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
German Remote Sensing Data Center > Land Surface
Institute of Optical Sensor Systems
Deposited By: Fischer, Peter
Deposited On:24 Jul 2015 09:42
Last Modified:24 Apr 2024 20:03

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