Rapid Mapping: geomatics role and research opportunities

被引:27
作者
Ajmar, Andrea [1 ]
Boccardo, Piero [2 ]
Disabato, Franca [1 ]
Tonolo, Fabio Giulio [1 ]
机构
[1] ITHACA, I-10138 Turin, Italy
[2] Politecn Torino, DIST, I-10125 Turin, Italy
关键词
Geomatics; Rapid mapping; Emergency response; Remote sensing; Spatial information science;
D O I
10.1007/s12210-015-0410-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In recent years an increasing number of extreme meteorological events have been recorded. Geomatics techniques have been historically adopted to support the different phases of the Emergency Management cycle with a main focus on emergency response, initial recovery and preparedness through the acquisition, processing, management and dissemination of geospatial data. In the meantime, the increased availability of geospatial data in terms of reference topographic datasets, made available by authoritative National Mapping Cadastre Agencies or by Collaborative Mapping initiatives like OpenStreetMap, as well as of remotely sensed imagery, poses new challenges to the Geomatics role in defining operational tools and services in support of emergency management activities. This paper is mainly focused on the role of Geomatics in supporting the response phase of the Emergency Management cycle through Rapid Mapping activities, which can be defined as "the on-demand and fast provision (within hours or days) of geospatial information in support of emergency management activities immediately following an emergency event'' (source: European Union, http://emergency.copernicus.eu/mapping/ems/service-overview). Management of geospatial datasets (both reference and thematic), Remote Sensing sensors and techniques and spatial information science methodologies applied to Rapid Mapping will be described, with the goal to highlight the role that Geomatics is currently playing in this domain. The major technical requirements, constraints and research opportunities of a Rapid Mapping service will be discussed, with a specific focus on: the time constraints of the service, the data quality requirements, the need to provide replicable products, the need for consistent data models, the advantages of data interoperability, the automation of feature extraction procedures to reduce the need for Computer Aided Photo Interpretation, the dissemination strategies.
引用
收藏
页码:S63 / S73
页数:11
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