| dc.description.abstract | Coming with the progress in economic development in Taiwan recently, the number of various public constructions has continued to increase. This also implies that the resources for land use are changing fast. Relatively, there is, however, no comprehensive data of land use aimed at special application for the needs of integrated planning of all developments. Based on the above requirements, this research studies how to generate the comprehensive data of land use in the Taiwan area. Because the remote sensing image from the satellite covers a large area, in order to get the best results among all choices, the SPOT satellite image offers the temporal and spatial resolution that can best meet our requirements.Traditionally, if we want to get the various types of land use from remote sensing data, we usually adopt the method of classification. because the spectral resolution from satellite images are limited, and the classification generated from remote sensing images is data of land cover, if we want to know the actual way land is used, we cannot rely solely on the spectral information to make classification, additional auxiliary data are required.
This research is using radio network to plan the required data of land use. According to the characteristics of radio broadcasting, charts of land use consisting of five classifications including forest, water, open space, urban, and suburban are generated. Previous studies have shown that the spectral classification of satellite images in this application will encounter some difficulties. For example, clouds and its shadows would have cover effects; the classfication of forest would be affected by the mountain geographic effects; the bottoms of rivers would emerge above water during drought seasons, making the classification of rivers (or water) inconsistent; satellite image classification can only classify the classfication of built-up land, and cannot classify the land use of urban and suburban. As a result, this research tries to combine satellite images from SPOT and the vector data from Geographic Information Systems (GIS) to faciliate the selection of training areas of supervised classification and further processing of land use classification, overcoming all difficulties so as to generate the charts of land use required by radio network planning. | en_US |