A Novel Methodology for Downscaling Remotely Sensed LST Data
A Methodology with respect to Fine-Scale Climatic Phenomena
(Sprache: Englisch)
Remotely sensed high spatial and temporal resolution data are required for various fine-scale phenomena investigations such as Urban Heat Island (UHI) studies. However, the present availability of satellite-retrieved data is limited in both, temporal and...
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Remotely sensed high spatial and temporal resolution data are required for various fine-scale phenomena investigations such as Urban Heat Island (UHI) studies. However, the present availability of satellite-retrieved data is limited in both, temporal and spatial resolution. Where-as sensors such as Moderate Resolution Imaging Spectroradiometer (MODIS) or Advanced Very High Resolution Radiometer (AVHRR) provide an adequate temporal resolution of daily overpasses, the low spatial resolution of approximately 1km is less suitable for investigations at the urban scale. In contrast, sensors such as Landsat 8 provide an appropriate spatial resolution of 30m, however the temporal coverage ensues within a 16 days period. In order to bridge this gab, the present work pursuits the approach of developing a methodology for downscaling MODIS coarse resolution Land Surface Temperature (LST) to UHI reasonable finer spatial resolution using the relationship of various land-use / land-cover (LULC)types and LST.
Autoren-Porträt von Lisa-Marie Meister
Meister, Lisa-MarieLisa-Marie Meister, M.Sc., is a 2016's graduate of Karlsruhe University of Applied Sciences. She completed her B.Sc. studies in the field of Cartography and Geomatics in 2014 as well as her English-speaking Master's Program Geomatics in 2016. GIS-Analysis, Remote Sensing as well as Visualization has been her focuses during University.
Bibliographische Angaben
- Autor: Lisa-Marie Meister
- 2016, 224 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: AV Akademikerverlag
- ISBN-10: 3639882377
- ISBN-13: 9783639882377
Sprache:
Englisch
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