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Titel:

Determining Riverine Surface Roughness at Fluvial Mesohabitat Level and Its Influence on UAV-Based Thermal Imaging Accuracy

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Kuhn, Johannes; Pander, Joachim; Habersetzer, Luis; Casas-Mulet, Roser; Geist, Juergen
Abstract:
Water surface roughness (SR) is a highly relevant parameter governing data reliability in remote sensing applications, yet lacking appropriate methodology in riverine habitats. In order to assess thermal accuracy linked to SR of thermal imaging derived from an unmanned aerial vehicle (UAV), we developed the SR Measurement Device (SRMD). The SRMD uses the concept of in situ quantification of wave frequency and wave amplitude. Data of nine installed SRMDs in four different fluvial mesohabitat clas...     »
Stichworte:
remote sensing; UAV; thermal imaging; accuracy; surface roughness; emissivity; fluvial mesohabitats
Dewey Dezimalklassifikation:
500 Naturwissenschaften; 570 Biowissenschaften, Biologie; 620 Ingenieurwissenschaften
Zeitschriftentitel:
Remote Sensing
Jahr:
2024
Band / Volume:
16
Heft / Issue:
10
Seitenangaben Beitrag:
1674
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.3390/rs16101674
WWW:
https://doi.org/10.3390/rs16101674
Verlag / Institution:
MDPI AG
E-ISSN:
2072-4292
Status:
Verlagsversion / published
Eingereicht (bei Zeitschrift):
15.03.2024
Angenommen (von Zeitschrift):
07.05.2024
Publikationsdatum:
09.05.2024
CC-Lizenz:
by, http://creativecommons.org/licenses/by/4.0
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