Using Multi-Scale Spatial Data in Landslide Mornitoring and Landuse Classification Interpretation

Owing to the rapid developments in the field of remote sensing, it is being used in a wide range of applications. Especially, based on the purpose, the choice has to be made from the different multi-scale images available. Besides, as remote sensing technology includes the work of aerial survey, DEM (Digital Elevation Model) information can also be obtained. So these technologies can provide land information in same spatial, temporal and spectral resolution. Taiwan has unique geological conditions and whenever typhoons occur, heavy rains accompany and cause drastic changes in the hillside. In order to study and understand this change, we integrate remote sensing, aerial survey (including between aviation photographing and LIDAR survey), and global position systems technology, to produce multi-scale environmental spatial information. Further, this study aims to establish a diverse information network, to carry out hillside field disaster investigation and to accomplish landuse change detection tasks. The methodology used herein saves both time and cost and also provides the condition of surface immediately. The research methodology facilitates the analysis of scale and the influence of hillside field disaster.