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Speeding up the clock in remote sensing – Identifying the ‘black spots’ in exposure dynamics by capitalizing on the full spectrum of joint high spatial and temporal resolution

Aubrecht, Christoph and Meier, Patrick and Taubenböck, Hannes (2017) Speeding up the clock in remote sensing – Identifying the ‘black spots’ in exposure dynamics by capitalizing on the full spectrum of joint high spatial and temporal resolution. Natural Hazards, 86 (1), pp. 177-182. Springer. DOI: 10.1007/s11069-015-1857-9 ISSN 0921-030X

Full text not available from this repository.

Official URL: http://link.springer.com/article/10.1007/s11069-015-1857-9

Abstract

Increasing human and monetary losses resulting from extreme natural events over the past decades have been documented in corresponding disaster data compilations such as the open-access EM-DAT, SHELDUS, and DesInventar or the private domain NatCatSERVICE (Munich Re) and Sigma (Swiss Re) databases. One of the most imminent questions in disaster risk research is therefore to identify the main root causes of those increasing impacts as a first step toward being able to address those aspects in mitigation planning. Statistical evidence about increase in frequency and intensity of hazardous extreme events depends on the quality and quantity of data available for probabilistic trend evaluation, and varies across regions and in particular for different types of events. The question is now what can remote sensing contribute to mapping exposure and more specifically elements at risk and their relevant characteristics that are needed for estimating potential losses and to initiate adequate mitigation strategies? It is clear that in a ‘static’ data environment characterized by temporal snapshots at regular intervals (i.e., as opposed to temporally continuous acquisition), as it has been common in high spatial resolution remote sensing, physical objects and structures can be well detected and characterized. Analyzing functional parameters or even relationships requires linking ancillary data to the remote sensing-based physical base Information. This article, however, focuses foremost on recent developments regarding remote sensing as a sole data source and just briefly concludes with a short outlook on associated integrative multisource data analysis.

Item URL in elib:https://elib.dlr.de/111347/
Document Type:Article
Title:Speeding up the clock in remote sensing – Identifying the ‘black spots’ in exposure dynamics by capitalizing on the full spectrum of joint high spatial and temporal resolution
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Aubrecht, ChristophAIT Austrian Institute of Technology GmbHUNSPECIFIED
Meier, PatrickUNSPECIFIEDUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.deUNSPECIFIED
Date:2017
Journal or Publication Title:Natural Hazards
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:86
DOI :10.1007/s11069-015-1857-9
Page Range:pp. 177-182
Publisher:Springer
ISSN:0921-030X
Status:Published
Keywords:remote sensing, risk, vulnerability, collective sensing, natural hazards
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 Zivile Kriseninformation und Georisiken (old), R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Taubenböck, Dr. Hannes
Deposited On:09 Mar 2017 11:14
Last Modified:06 Sep 2019 15:21

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