Applying Remote-Sensing Data of High Resolution to Monitoring Illegal-Landuse in Urban Areas--A Case Study of Rooftop Structures in Taipei City
Date Issued
2006
Date
2006
Author(s)
Chang, Chia-Hao
DOI
zh-TW
Abstract
Rooftop structures, the most common annexes to residential buildings in cities of Taiwan, are the lowest-cost way for dwelling units on the top floor to gain additional indoor space. However, almost all of rooftop structures are illegal for lack of construction licenses, the most common among all illegal uses of land and buildings in urban areas. As illegal rooftop structures are so many, complete spot check by local governments will incur huge amount of labor and time.
To solve the problem, this study applies high-resolution remote sensing image, HIS (hue, intensity, saturation) image, LiDAR data and features of periphery of buildings reflected on digital topographic maps in combination to accurate and highly automated detection of illegal rooftop structures. There are three criteria, one for shape, another for construction material, and the other for building’s height from LiDAR data, for interpreting a rooftop structure as illegal: the top of the structure consists of a horizontal beam and two tilting planes on the two sides of the beam (shape); the top is made of steel or alloy plates (construction material); the height information from LiDAR data is over the information from government’s records. For rooftop structures only with either of the first or second condition, auxiliary measurement and manually interpretation are used to make sure whether they are illegal.
The detecting model was tested in an area of Yangming Mountain in the north of Taipei City, resulting in overall interpreting accuracy of 95% in high-resolution remote sensing image, but the accuracy is 32.5% in LiDAR data due to the variance of terrain. It is therefore concluded that the model can be largely cost-effective in monitoring illegal rooftop structures and thus can be used to set up databases of illegal rooftop structures, including location and time, through integration with personal inspection of such structures by local governments.
Subjects
屋頂加蓋物
HIS影像
LiDAR資料
illegal rooftop structure
high-resolution remote sensing image
HIS image
hue, intensity, saturation image
LiDAR data
SDGs
Type
thesis
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