整合空間及遙測分析於非法廢棄物棄置場之判釋

Application of Satellite Images for the Interpretation of Illegal Waste Dumping fields

王瑞源(Ruei-Yuan Wang) ； 徐逸祥(Yi-Shiang Shiu) ； 陳依婕(Yi-Chieh Chen) ； 樊先達(Shien-Ta Fan) ； 黃昭雄(Chao-Hsiung Huang) ； 朱子豪(Tzu-How Chu)

《航測及遙測學刊》 16卷1期 (2011/03) Pp. 45-61

https://doi.org/10.6574/JPRS.2011.16(1).5

摘要

本研究旨在應用遙測技術監測台灣北部六個縣市，試圖有效的判釋出非法廢棄物的潛在棄置場區。研究方法係結合空間分析及遙測分析技術；空間分析係藉由歷年環保單位監測的異常案例，歸納與廢棄物傾倒之相關因子，以決策樹分類演算法(CART)進行資料探勘，推導廢棄物傾倒之空間規則，劃定潛在事件發生區域。遙測分析則針對可能棄置區之多期影像進行分類及植生指數變化分析，並進行光譜整合分析，以判釋影像的光譜變化情形；最後，篩選出重點監測區域，並進行實查驗證。分析結果：(一)空間資料探勘部分，擷取分析後的13條規則，並獲得可能棄置區規則6條，再運用ArcGIS進行環域分析，繪製出潛在棄置區的空間分佈圖。另由遙測光譜及空間分析而成功判釋出具有棄置物之場址計12處，正確率約達18.75%。(二)研究結果之意涵顯示，此模式可有助於強化環保單位的監測重點、節省監測成本及增強查報工作效率，並可運用於周全環保單位原有之環境監測網，建立全面性的環境監測。

關鍵字

廢棄物 ； 遙測 ； 資料探勘 ； 決策樹分類演算法

並列摘要

This study aims at applying remote sensing techniques to monitor the area of north Taiwan, that attempted to interpret the potential illegal waste dumping fields in an efficiently way. The research integrates spatial data mining analysis and remote sensing analysis. The former used the extraordinary cases of illegal waste dumping by the environmental protection unit over the years to generalize the factors of waste dumping, and using CART algorithm for data mining to produce the spatial rules of waste dumping that used for drawing the area of potential occurred event. The latter implements images classification and NDVI analysis focus on the potential dumping areas, and implementing integrated analysis of spectrum to interpret the changing of images. Finally, it obtains the results of monitoring areas for the checking and verifying on-the-spot. These research results as follows. (1)For the part of data mining, it comes out 13 rules, and acquires 6 rules of it of potential area. Then, these rules are implemented as buffer analysis through ArcGIS software to draw the spatial maps of potential waste dumping areas. After the integrated analysis of spectrum and spatial, 12 places has been verified and interpreted which were dumping fields. The results of successful rates could reach approximately 18.750%. (2) According to the research result indicated that remote sensing is an effective and useful tool for strengthening the monitoring mechanism, saving costs and enhancing the working efficiency for the environmental protection unit. Further, that could complete and improve the original system of environmental monitor in a way of comprehensiveness.

並列關鍵字

Municipal Solid Wastes (MSW) ； Remote Sensing ； Data Mining ； Classification and Regression Trees (CART)