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研究生：	呂罡銘 Lu, Kang-Ming
論文名稱：	應用衛星遙測技術解析都市地表不透水率之研究 -以台南市為例 An Application of Satellite Remote Sensing Technique to Analyze Percentage of Impervious Surface Area in Urban Environment - A Case Study of Tainan City
指導教授：	林憲德 Lin, Hsien-Te
學位類別：	碩士 Master
系所名稱：	規劃與設計學院 - 建築學系 Department of Architecture
論文出版年：	2006
畢業學年度：	94
語文別：	中文
論文頁數：	104
中文關鍵詞：	地表不透水率預測公式、分層篩選分類法、衛星遙測、地表不透水率
外文關鍵詞：	Predicting equation of the impervious surface ar, Satellite remote sensing, Percentage of impervious surface area (ISA), Sifter
相關次數：	點閱：76 下載：5
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都市地表不透水率(ISA，Percentage of Impervious Surface Area)為評估
都市水循環體系重要的指標，在都市微氣候與生態環境的評估上，亦占有舉足輕重
的影嚮性。為了具體呈現都市ISA 分布的狀況，並進行都市區域ISA 定量與定性的
解析，本研究以台南市為例，應用衛星遙測技術解析都市ISA。本研究內容分成兩
階段，分別探討「應用衛星遙測技術解析都市ISA 之可行性」與「台南市ISA 之解
析」兩個課題。
第一階段，本研究採用「非監督式分類法」、「監督式分類法」與本研究發展
的「分層篩選法」三種分類方法，進行二十二組實驗，並以多項評估指標進行綜合
評估，選擇其中最佳的實驗數據，以進行製作台南市ISA 數值圖的工作。在二十二
組分類實驗中，以「分層篩選法」第二次實驗(Sifter_C02)之綜合評估結果最佳，
適合度(α)達0.93、ΔISA 為-2.04%、分類純度達80.69%、未分類率為15.41%，
因此，本研究採用該實驗結果進行繪製台南市ISA 數值圖。
第二階段，本研究根據台南市ISA 數值圖，解析台南市各行政區之ISA。台
南市各行政區ISA 數值由高而低依序如下：北區62.25%、中西區59.97％、東區
59.36%、南區40.74%、安平區35.64%、安南區20.23%，而台南市全區為
30.80%。影響台南市各行政區ISA 之重要都市計畫因子，在正相關部分有商工住
路區比(R=0.98)、人口密度(R=0.95)與；在負相關部分主要有公園自然區比
(R=-0.98)。本研究根據都市計畫因子進行迴歸分析，推導整理出三條台南市各行
政區ISA 之預測公式，公式如下：
ISA= 0.743X 商工住路區比+ 7.411 ··················································· 公式A
ISA= 2.826 X 人口密度+ 20.881 ····················································· 公式B
ISA= -0.688 X 公園自然區比+ 67.318 ·············································· 公式C
本研究初步證實應用「衛星遙測技術」可有效解析台南市ISA，同時提出影
響台南市ISA 的都市計畫因子，並推導出台南市各行政區ISA 單迴歸預測式，以提
供都市計畫相關領域工作者參考與使用。
關鍵字：地表不透水率、衛星遙測、分層篩選分類法、地表不透水率預測公

The percentage of impervious surface area (ISA) is one of the important
index while assessing the city water circulation. It also plays an important role
on the evaluation of urban micro climate and city eco-environment. In order to
quantified and qualitative analyze the state of ISA in urban environment; we
utilized satellite remote sensing technique to analyze the percentage of ISA in
Tainan city. This research is divided into two subjects. One is the feasibility
study of the application of utilizing satellite remote sensing technique on
analyzing the percentage of ISA area in urban area, and another subjects is the
analysis of percentage of ISA in Tainan .
In the first phase, we carried out 22 times experiments with three
classification methods (Unsupervised, Supervised and Sifter) from those we
choice the best experimental result (Sifter_C02, test of goodness of fit is 0.93,
ΔISA is -2.04%,degree of purity is 80.69%, percentage of unclassified pixel is
15.41%) by multiple assessment index to develop ISA scatter map of Tainan
city.
During the second phase, we analyze ISA in every administrative area of
Tainan according to Tainan ISA maps. The ISA values of north district is
62.25%, center-western district is 59.97%, east district is 59.36%, south
district is 40.74%, district of Anping is 35.64%, district of Annan is 20.23%,
and the overall value of Tainan is 30.80%. The rate of the total amount of
commercial, industry, residential and road area (CIRR,R=0.98), population
density (R=0.95) , and the rate of the total amount of park and natural surface
area (PN,R=-0.98) are the three influential factors of ISA. We use regression
analysis to establish three simple predicting equations:
ISA= 0.743X CIRR + 7.411 ················································· equation A
ISA= 2.826 X population density + 20.881 ··································· equation B
ISA= -0.688 X PN + 67.318 ·············································· equation C
Key word：Percentage of impervious surface area (ISA), Satellite remote sensing,
Sifter, Predicting equation of the impervious surface area percentage

中文摘要
英文摘要
謝誌
目錄·······································Ⅰ
圖目錄······································Ⅳ
表目錄······································Ⅵ
第一章緒論
第一章緒論····································1
1-1 前言·······································································1
1-2 文獻回顧···································································2
1-2.1 地表不透水率計算方式·····················································2
1-2.2 地表不透水率研究方法·····················································2
1-2.3 衛星遙測相關研究·························································3
1-2.4 數位影像基礎知識······························4
1-2.5 一般遙測分類方法·························································5
1-3 研究動機與目的·····························································5
1-4 研究內容與範圍·····························································6
1-5 研究方法與流程·····························································7
第二章遙測分類方法與結果
第二章遙測分類方法與分類結果···················································9
2-1 遙測分類方法·······························································9
2-1.1 遙測分類方法·····························································9
2-1.2 衛星影像之選擇··························································10
2-1.3 分類軟體之選擇··························································13
2-1.4 查核區地表不透水率之調查················································13
2-1.5 分類結果之評估指標······················································19
2-2 非監督式分類方法··························································22
2-2.1 分類方法································································22
2-2.2 查核區查核······························································24
2-3 監督式分類方法····························································26
2-3.1 分類方法································································26
2-3.2 訓練區訓練·································27
2-3.3 查核區查核······························································28
2-4 分層篩選分類方法··························································30
2-4.1 分層篩選分類法之目的····················································30
2-4.2 分層篩選分類法之方法····················································31
2-4.3 訓練區訓練·································32
2-4.4 分層篩選分類法之評估指標················································37
2-4.5 分層篩選分類································39
2-4.6 查核區查核······························································52
2-4.7 查核結果再訓練·······························53
第三章遙測分類結果之解析
第三章遙測分類結果之解析······················································55
3-1 遙測分類結果之綜合評估····················································55
3-1.1 綜合評估之目的··························································55
3-1.2 綜合評估之原則··························································55
3-1.3 遙測分類結果之綜合評估··················································56
3-1.4 小結····································································59
3-2 遙測地表不透水率誤差之檢討················································59
3-2.1 遙測測量方式誤差························································60
3-2.2 遙測分類誤差····························································60
3-2.3 查核區之代表性··························································61
3-2.4 人為誤差································································61
3-3 台南市地表不透水率數值地圖之製作··········································61
3-3.1 各類地表分類圖之製作····················································62
3-3.2 開放水域及地表不透水率數值灰階圖之製作··································63
3-3.3 地表不透水率數值色階圖之製作············································65
第四章台南市地表不透水率之解析
第四章台南市地表不透水率之解析················································67
4-1 台南市地表不透水率之解析··················································67
4-1.1 北區地表不透水率之解析··················································68
4-1.2 中西區地表不透水率之解析················································69
4-1.3 東區地表不透水率之解析··················································70
4-1.4 南區地表不透水率之解析··················································71
4-1.5 安平區地表不透水率之解析················································72
4-1.6 安南區地表不透水率之解析················································73
4-1.7 台南市地表不透水率之解析················································74
4-2 國內都市地表不透水率相關研究之比較········································76
4-3 台南市各行政區地表不透水率之預測··········································79
4-3.1 台南市各行政區地表不透水率之相關因子····································79
4-3.2 台南市各行政區地表不透水率預測公式······································86
4-4 小結······································································89
第五章結論與建議
第五章結論與建議······························································91
5-1 結論·····································92
5-2 建議······································································94
參考文獻······································································97
附錄·······································101
                                    

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