TY - JOUR
T1 - Geospatial data system architecture for disaster risk management
AU - Osorio, Ever Enrique Castillo
AU - Hayat, Bashir
AU - Kim, Kyong Hoon
AU - Kim, Ki Il
N1 - Publisher Copyright:
© 2017 SERSC Australia.
PY - 2017
Y1 - 2017
N2 - Currently, raster information taken for satellite sensors are highly necessary in activities related to disaster risk management. However, the images that come from satellites of polar orbit still present a low temporal resolution and the images that come from satellites of geostationary orbit have a low spatial resolution. Therefore, these limitations affect the processes of analysis of geographic information in the systems and search and rescue activities are not feasible to perform at the required time. Therefore, it is required to introduce new technology to improve disaster risk management by providing coarse and multi-view images. To achieve this, satellite images, aerial photographs captured from airplanes and UAVs, data collected by ground wireless sensor networks and cartographic information are integrated using a new-layered architecture. In this paper, we present a proposal methodology for processing raster information and their integration in an informatics architecture under the concept of data mart that allows the collection and storage for timely distribution of raster and vector geospatial data from different sources. Stakeholders can access to specific data and using this for activities of search and rescue actions of vulnerable population affected by natural disasters.
AB - Currently, raster information taken for satellite sensors are highly necessary in activities related to disaster risk management. However, the images that come from satellites of polar orbit still present a low temporal resolution and the images that come from satellites of geostationary orbit have a low spatial resolution. Therefore, these limitations affect the processes of analysis of geographic information in the systems and search and rescue activities are not feasible to perform at the required time. Therefore, it is required to introduce new technology to improve disaster risk management by providing coarse and multi-view images. To achieve this, satellite images, aerial photographs captured from airplanes and UAVs, data collected by ground wireless sensor networks and cartographic information are integrated using a new-layered architecture. In this paper, we present a proposal methodology for processing raster information and their integration in an informatics architecture under the concept of data mart that allows the collection and storage for timely distribution of raster and vector geospatial data from different sources. Stakeholders can access to specific data and using this for activities of search and rescue actions of vulnerable population affected by natural disasters.
KW - Geographic information system
KW - Satellite image processing
KW - Spatial database
KW - System architecture
UR - http://www.scopus.com/inward/record.url?scp=85039721363&partnerID=8YFLogxK
U2 - 10.14257/ijgdc.2017.10.12.05
DO - 10.14257/ijgdc.2017.10.12.05
M3 - Article
AN - SCOPUS:85039721363
SN - 2005-4262
VL - 10
SP - 39
EP - 52
JO - International Journal of Grid and Distributed Computing
JF - International Journal of Grid and Distributed Computing
IS - 12
ER -