<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Estimation of surface temperature using multispectral imagery retrieved from satellite sensors constitutes several problems in terms of accuracy, accessibility, quality and evaluation. In order to obtain accurate results, currently utilized methods rely on removing atmospheric fluctuations in separate spectral windows, applying atmospheric corrections or utilizing additional information related to atmosphere or surface characteristics like atmospheric water vapour content, surface effective emissivity correction or transmittance correction. Obtaining accurate results of estimation is particularly critical for regions with fairly non-uniform distribution of surface effective emissivity and surface characteristics such as coastal zone areas.</p><p>The paper presents the relationship between retrieved land surface temperature, air temperature, sea surface temperature and vegetation indices (VI) calculated based on remote observations in the coastal zone area. An indirect comparison method between remotely estimated surface temperature and air temperature using LST/VI feature space characteristics in an operational Geographic Information System is also presented.</p></abstract>

Estimation of surface temperature using multispectral imagery retrieved from satellite sensors constitutes several problems in terms of accuracy, accessibility, quality and evaluation. In order to obtain accurate results, currently utilized methods rely on removing atmospheric fluctuations in separate spectral windows, applying atmospheric corrections or utilizing additional information related to atmosphere or surface characteristics like atmospheric water vapour content, surface effective emissivity correction or transmittance correction. Obtaining accurate results of estimation is particularly critical for regions with fairly non-uniform distribution of surface effective emissivity and surface characteristics such as coastal zone areas.The paper presents the relationship between retrieved land surface temperature, air temperature, sea surface temperature and vegetation indices (VI) calculated based on remote observations in the coastal zone area. An indirect comparison method between remotely estimated surface temperature and air temperature using LST/VI feature space characteristics in an operational Geographic Information System is also presented.

Characterizing Surface and Air Temperature in the Baltic Sea Coastal Area Using Remote Sensing Techniques and Gis

Ph. D., Gdańsk Univeristy of Technology, Poland, Narutowicza street 11/12 80-233 Gdańsk, Poland, telephone: +48 58 347 13 26

Ph. D., Gdańsk Univeristy of Technology, Poland

Assoc. Prof. Gdańsk Univeristy of Technology, Poland

Polish Maritime Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Estimation of surface temperature using multispectral imagery retrieved from satellite sensors constitutes several problems in terms of accuracy,...

Characterizing Surface and Air Temperature in the Baltic Sea Coastal Area Using Remote Sensing Techniques and Gis

Online veröffentlicht: 20. Apr. 2016

Seitenbereich: 3 - 11

DOI: https://doi.org/10.1515/pomr-2016-0001

Schlüsselwörter
remote sensing, coastal zone, AVHRR, GIS, surface temperature, air temperature, vegetation index

© 2016

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Characterizing Surface and Air Temperature in the Baltic Sea Coastal Area Using Remote Sensing Techniques and Gis

Online veröffentlicht: 20. Apr. 2016

Seitenbereich: 3 - 11

DOI: https://doi.org/10.1515/pomr-2016-0001

Schlüsselwörterremote sensing, coastal zone, AVHRR, GIS, surface temperature, air temperature, vegetation index

© 2016

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
remote sensing, coastal zone, AVHRR, GIS, surface temperature, air temperature, vegetation index