The goal of the H2020 EOxposure project is to build tools to quantify the exposure of population and economic assets to multiple risks using novel information layers from current and future Earth Observation (EO) missions, as well as the growing sensor web on the ground. The project sits on three main pillars: housing condition mapping, disease spread proxies, and physical proxies to security threats. The following paragraphs provide some explanation about each pillar. Housing condition mapping To develop a tool for Housing Condition Mapping (HOCOM), based on open source software and able to exploit data from multiple EO sources, airborne/UAV platform and ancillary economic/social data sets. Disease spread proxies To develop a tool to extract maps of disease spread proxies (DISESP), based on open source software and able to exploit data from socio/economic data sets and geospatial information, assisted by additional information from multiple EO source, airborne/UAV platforms and ground sensors. Physical proxies to security threats To develop a tool to extract maps of physical quantities (PHYMAP) by combining and exploiting at the most accurate spatial scale observations by multiple sources, including spaceborne/airborne/UAV platforms. The presentation will provide insights on the status of the projects and its future developments.
The Project EOXPOSURE: A Joint European and South American Effort to Make Urban Areas Healtier and More Secure Thanks to Spaceborne Earth Observation
Fabio Dell'Acqua;Oladimeji Mudele
2019-01-01
Abstract
The goal of the H2020 EOxposure project is to build tools to quantify the exposure of population and economic assets to multiple risks using novel information layers from current and future Earth Observation (EO) missions, as well as the growing sensor web on the ground. The project sits on three main pillars: housing condition mapping, disease spread proxies, and physical proxies to security threats. The following paragraphs provide some explanation about each pillar. Housing condition mapping To develop a tool for Housing Condition Mapping (HOCOM), based on open source software and able to exploit data from multiple EO sources, airborne/UAV platform and ancillary economic/social data sets. Disease spread proxies To develop a tool to extract maps of disease spread proxies (DISESP), based on open source software and able to exploit data from socio/economic data sets and geospatial information, assisted by additional information from multiple EO source, airborne/UAV platforms and ground sensors. Physical proxies to security threats To develop a tool to extract maps of physical quantities (PHYMAP) by combining and exploiting at the most accurate spatial scale observations by multiple sources, including spaceborne/airborne/UAV platforms. The presentation will provide insights on the status of the projects and its future developments.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.