Paper Info
Title
Using lidar to estimate the capacity for storm water recycling and solar energy collection
Abstract
In this paper two lidar applications are addressed so that the data from large-scale airborne laser scanning of three New South Wales towns and the University of New South Wales can be used to estimate the capacity for storm water recycling and solar energy collection. The building outlines in each of these surveyed areas are extracted using the lidar point cloud to provide an accurate measurement of the total area of roofing within each region. The accurate area measurements are used with simple modelling equations to calculate the amount of rainfall runoff that could be collected and solar energy that could be produced, during an average year. The final results show the potential savings that could be produced each year if these towns and the university campus became more water and energy conscious. For these two reasons, this paper investigates a large scale surveying technique known as Airborne Laser Scanning (ALS) in the interest of using the technique to measure the potential for rainwater collection and solar energy production. The study examines the theory behind laser scanning and data point classification, with the aim of testing the accuracy of the scanner in comparison to other surveying techniques. The main objective is to calculate the total area of roofing within the surveyed region. Then the measured roof area can be used to calculate both the amount of rainwater that could be potentially collected and re-used, and the amount of solar energy that could be collected and placed back into the energy grid.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5651895
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
hydrological techniques,optical radar,rain,roofs,solar energy concentrators,storms,water conservation,water resources,New South Wales towns,University of New South Wales,building outlines,large-scale airborne laser scanning,lidar point cloud,rainfall runoff,roofing,solar energy collection,storm water recycling,Airborne Laser Scanning,Building Extraction,Lidar,Solar Energy,Storm Water
Meteorology,Water conservation,Computer science,Hydrology,Remote sensing,Stormwater,Surface runoff,Storm,Solar energy,Lidar,Water resources,Precipitation
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4244-9564-1
978-1-4244-9564-1
0
PageRank 
References 
Authors
0.34
1
2
Name
Order
Citations
PageRank
David Conway100.34
Samsung Lim26812.02