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A New Method to Detect Regions Endangered by High Wind Speeds

Fischer, Peter and Ehrensperger, Simon and Krauß, Thomas (2016) A New Method to Detect Regions Endangered by High Wind Speeds. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B8, pp. 59-63. Copernicus Publications. ISPRS Congress 2016, 12.-19. Jul. 2016, Prag, Tschechien. DOI: 10.5194/isprsarchives-XLI-B8-59-2016

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/59/2016/isprs-archives-XLI-B8-59-2016.pdf

Abstract

In this study we evaluate whether the methodology of Boosted Regression Trees (BRT) suits for accurately predicting maximum wind speeds. As predictors a broad set of parameters derived from a Digital Elevation Model (DEM) acquired within the Shuttle Radar Topography Mission (SRTM) is used. The derived parameters describe the surface by means of quantities (e.g. slope, aspect) and quality (landform classification). Furthermore land cover data from the CORINE dataset is added. The response variable is maximum wind speed, measurements are provided by a network of weather stations. The area of interest is Switzerland, a country which suits perfectly for this study because of its highly dynamic orography and various landforms.

Item URL in elib:https://elib.dlr.de/103685/
Document Type:Conference or Workshop Item (Speech)
Title:A New Method to Detect Regions Endangered by High Wind Speeds
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Fischer, PeterPeter.Fischer (at) dlr.deUNSPECIFIED
Ehrensperger, SimonSimon.Ehrensperger (at) hm.eduUNSPECIFIED
Krauß, Thomasthomas.krauss (at) dlr.deUNSPECIFIED
Date:July 2016
Journal or Publication Title:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:XLI-B8
DOI :10.5194/isprsarchives-XLI-B8-59-2016
Page Range:pp. 59-63
Publisher:Copernicus Publications
Status:Published
Keywords:Non-Parametric Regression, Boosted Regression Trees, Wind Speeds, Spatial Predictions
Event Title:ISPRS Congress 2016
Event Location:Prag, Tschechien
Event Type:international Conference
Event Dates:12.-19. Jul. 2016
Organizer:ISPRS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Fischer, Peter
Deposited On:31 Mar 2016 15:18
Last Modified:31 Jul 2019 20:00

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