Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River Delta
Author: Yeh, X. Li A. G. O.
Source: International Journal of Remote Sensing, Volume 19, Number 8, 1998 , pp. 1501-1518(18)
Publisher: Taylor and Francis Ltd
Abstract:The Pearl River Delta is experiencing very fast urban growth in recent years which has caused rapid loss of the valuable agricultural land in this fertile region. There is a great need to monitor the rapid urban expansion using remote sensing for urban planning and management purposes. However, it has been well recognized that there is significant over-estimation of land use change in using multi-temporal images for change detection because of inadequate creation of classification signatures. This paper presents a principal component analysis of stacked multi-temporal images method to reduce such errors. The study demonstrates that this method can reduce errors in change detection using multitemporal images and provide a very useful way in monitoring rapid land use changes and urban expansion in the Pearl River Delta and other parts of the world.
Document Type: Research Article
Publication date: May 20, 1998