P
Panagiotis Sismanidis
Researcher at National Technical University of Athens
Publications - 29
Citations - 651
Panagiotis Sismanidis is an academic researcher from National Technical University of Athens. The author has contributed to research in topics: Computer science & Urban heat island. The author has an hindex of 11, co-authored 22 publications receiving 422 citations. Previous affiliations of Panagiotis Sismanidis include ASTRON.
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Journal ArticleDOI
Generating WUDAPT Level 0 data – Current status of production and evaluation
Benjamin Bechtel,Paul J. Alexander,Christoph Beck,Jürgen Böhner,Oscar Brousse,Jason Ching,Matthias Demuzere,Cidália Costa Fonte,Tamás Gál,Julia Hidalgo,Peter Hoffmann,Ariane Middel,Gerald Mills,Chao Ren,Linda See,Panagiotis Sismanidis,Marie-Leen Verdonck,Guang Xu,Yong Xu +18 more
TL;DR: The protocol by which LCZ maps generated by different members of the community are produced and evaluated is outlined, which supports the assumption that the current level 0 products are already of sufficient quality for certain applications.
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SUHI analysis using Local Climate Zones—A comparison of 50 cities
Benjamin Bechtel,Matthias Demuzere,Matthias Demuzere,Gerald Mills,Wenfeng Zhan,Panagiotis Sismanidis,Christopher Small,James A. Voogt +7 more
TL;DR: In this paper, the suitability of the Local Climate Zones (LCZ) scheme for surface urban heat islands (SUHI) studies based on 50 cities from across the globe is investigated.
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Quality of Crowdsourced Data on Urban Morphology—The Human Influence Experiment (HUMINEX)
Benjamin Bechtel,Matthias Demuzere,Panagiotis Sismanidis,Daniel Fenner,Oscar Brousse,Christoph Beck,Frieke Van Coillie,Olaf Conrad,Iphigenia Keramitsoglou,Ariane Middel,Gerald Mills,Dev Niyogi,Marco Otto,Linda See,Marie-Leen Verdonck +14 more
TL;DR: Improvements of up to 20% in overall accuracy were found when multiple training datasets were used together to create a single LCZ map, and improvement was greatest for small training datasets, saturating at about ten to fifteen sets.
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Improving the Downscaling of Diurnal Land Surface Temperatures Using the Annual Cycle Parameters as Disaggregation Kernels
TL;DR: The results suggest that the use of multitemporal ACPs increase the downscaling performance, improve the estimation of diurnal DLST range and produce more accurate spatial patterns.
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A satellite-based system for continuous monitoring of Surface Urban Heat Islands
TL;DR: This article presents the processing chain that leads to the production of spatially enhanced LST data, and highlights the exploitability of such datasets in the context of a service that the Institute for Astronomy, Astrophysics, Space Applications, and Remote Sensing of the National Observatory of Athens is implementing.