An integrated approach for updating cadastral maps in Pakistan using satellite remote sensing data

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• 作者：Zahir Ali^a ; ^b ; ^zali@itc.nl ; ^{seezahir@yahoo.com} ; Arbind Tuladhar^b ; ^{tuladhar@itc.nl} ; Jaap Zevenbergen^b ; ^{zevenbergen@itc.nl}
• 关键词：Cadastral surveying ; Discipline-oriented approach ; Methodology-oriented integrated approach ; RS imagery ; GPS data ; Participatory-GIS (PGIS)
• 刊名：International Journal of Applied Earth Observation and Geoinformation
• 出版年：2012
• 期刊代码：91_03032434
• 类别：ear
• 出版时间：August, 2012
• 卷：18
• 期：Complete
• 页码：386-398
• 文件大小：2669 K

摘要

Updating cadastral information is crucial for recording land ownership and property division changes in a timely fashioned manner. In most cases, the existing cadastral maps do not provide up-to-date information on land parcel boundaries. Such a situation demands that all the cadastral data and parcel boundaries information in these maps to be updated in a timely fashion. The existing techniques for acquiring cadastral information are discipline-oriented based on different disciplines such as geodesy, surveying, and photogrammetry. All these techniques require a large number of manpower, time, and cost when they are carried out separately. There is a need to integrate these techniques for acquiring cadastral information to update the existing cadastral data and (re)produce cadastral maps in an efficient manner. To reduce the time and cost involved in cadastral data acquisition, this study develops an integrated approach by integrating global position system (GPS) data, remote sensing (RS) imagery, and existing cadastral maps. For this purpose, the panchromatic image with 0.6 m spatial resolution and the corresponding multi-spectral image with 2.4 m spatial resolution and 3 spectral bands from QuickBird satellite were used. A digital elevation model (DEM) was extracted from SPOT-5 stereopairs and some ground control points (GCPs) were also used for ortho-rectifying the QuickBird images. After ortho-rectifying these images and registering the multi-spectral image to the panchromatic image, fusion between them was attained to get good quality multi-spectral images of these two study areas with 0.6 m spatial resolution. Cadastral parcel boundaries were then identified on QuickBird images of the two study areas via visual interpretation using participatory-GIS (PGIS) technique. The regions of study are the urban and rural areas of Peshawar and Swabi districts in the Khyber Pakhtunkhwa province of Pakistan. The results are the creation of updated cadastral maps with a lot of cadastral information which can be used in updating the existing cadastral data with less time and cost.