| 摘要(英) |
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. |
| 參考文獻 |
內政部資訊中心，1992，「土地資訊管理」，內政部資訊中心
林勝科，1999，「以地理資訊系統為基礎建構頻譜使用管理系統與傳播預測系統」，國立中央大學電機工程研究所碩士論文，中壢
施鴻志，1997，「都市規劃」，建都文化事業股份有限公司
邵廣昭，2000，「關渡自然保留區及關渡自然公園環境監測與研究 (第二期) 」，台北市政府建設局
陳振南，1997，「建立地理資訊系統中資料選取知識之研究─以支援遙測影像分類為例」，國立成功大學測量工程研究所碩士論文，台南
經濟部水利司，1995，水利法規彙編，經濟部水利司
Jones,G, A. Robertson,J. Forbes,and G. Hollier，1998，環境科學辭典，貓頭鷹出版社
環境科學大辭典編輯委員會，1991，環境科學大辭典，環境科學大
辭典編輯委員會
Burrough, P. A. ,1986,Principles of Geographical Information Systems for Land Resources Assessment, Oxford, pp.167~176
Carter, James R,1988.,On Defining the Geographic Information System, Fundamentals of Geographic Information Systems：A compen-diums, ASPRS
Fuller, R. M.,G.B.Groom and A. R.Jones ,1994,the land cover map of Great Britain :An autoamted classification of landsat thematic mapper data, Photogrammetric Engineering and Remote Sensing vol.60, no.5, pp553~562
Lillesand, T. M. and R. W. Kieder,1994, Remote Sensing and Image Interpretation, John Wiley&Sons,Inc
Smith ,G. M., R.M. Fuller, C. Costa, B. J. Devereux, An integrated vector/raster system for land cover mapping, Integrated Systems for Commercial Remote Sensing Applications (Ref. No. 1998/207), IEE Colloquium on Pages: 2/1 - 2/6
Turker M. and E. Derenyi,2000, GIS Assisted Change Detection Using Remote Sensing, Geocarto International, Vol.15,No.1,pp.49~54
Wilkinson,G. G. ,1996, A review of current issues in the integration of GIS and remote sensing data, INT. J.GIS,10, pp.85~101
Xiao,Q. and H. Raafat,1992, Remote Sensing Image Classification By A Gis Guided Spatial Analysis, Geoscience and Remote Sensing Symposium, IGARSS '92. International on Pages: 1606 — 1608 |
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