@article {bnh-7870, title = {The influence of satellite imagery on landscape perception}, journal = {Landscape Research}, year = {2021}, month = {02/2021}, abstract = {

The perception of landscapes involves the process of categorising and differentiating surrounds according to sensory information and the experiences of individuals. Increasingly, due to the ubiquitous nature of virtual globe platforms, individuals are accessing visual information about their surrounding environment through satellite imagery. This investigation aims to examine how people{\textquoteright}s perceptions of landscapes are changing when our experiences increasingly occur in digital space, altering the perception paradigm from one where individuals analyse direct objects to one where indirect objects are key in the formation of their perceptions. A case study in Chile, South America, is used to explore the influence of satellite imagery with 52 survey participants responding to questions about land use and land cover (LULC) patterns of the area, before and after, unstructured exploration of the region using Google Earth. The results indicate that satellite imagery is influencing how individuals perceive LULC patterns within their direct surroundings.

}, keywords = {Google Earth, land cover, land use, landscape patterns, Landscape perception, satellite imagery}, doi = {https://doi.org/10.1080/01426397.2021.1886264}, url = {https://www.tandfonline.com/doi/abs/10.1080/01426397.2021.1886264}, author = {Daisy San Martin Saldias and Karin Reinke and Blythe McLennan and Luke Wallace} } @conference {bnh-6506, title = {Flood vulnerability functions: detailed vs generalised approach }, booktitle = {AFAC19 powered by INTERSCHUTZ - Bushfire and Natural Hazards CRC Research Forum}, year = {2019}, month = {12/2019}, publisher = {Australian Institute for Disaster Resilience}, organization = {Australian Institute for Disaster Resilience}, address = {Melbourne}, abstract = {

Flood vulnerability functions for buildings (often called stage-damage functions) relate flood damage to the depth of inundation in the building. These functions are generally used in assessing flood risk and in evaluating cost-effective mitigation strategies for flood risk management. Flood vulnerability models are usually developed for a certain location by following empirical, analytical or heuristic procedures. They can be developed for a representative building type (detailed approach) or representing a mix of building types (generalised approach).

Geoscience Australia (GA) has developed a suite of flood vulnerability functions for a range of building types (detailed approach) that covers residential, commercial, industrial and community building land use types. These functions are best used in detailed micro level studies and are applicable to the highest resolution of building exposure information with flood vulnerability directly attributed to individual buildings.

This paper describes research with the National Flood Risk Advisory Group (NFRAG), the Australian Institute for Disaster Resilience (AIDR), state and local governments and industry to translate detailed vulnerability information into practical guidance for flood risk managers undertaking studies under the floodplainspecific management process as outlined in the AIDR Handbook, Managing the Floodplain: A Guide to Best Practice in Flood Risk Management.

This research derives generalised vulnerability functions for a mix of building and land use types. The generalised curves can be utilised at meso or macro level study and are intended to be applied at a resolution of built environment information readily available to floodplain managers.

Download the full peer reviewed research proceedings\ from the Bushfire and Natural Hazards CRC Research Forumhere.

}, keywords = {emergency management., Floods, land use, risk management, Vulnerability}, url = {https://knowledge.aidr.org.au/resources/australian-journal-of-emergency-management-monograph-series/}, author = {Maqsood, T and Dale, K and Mark Edwards and Krishna Nadimpalli} }