本研究的目的在於監測區域地層滑移，主要著重於遙測影像判釋及計算地表特徵物位移，並搭配現地調查以瞭解該地區地滑之滑動特性，並與影像計算結果比對，以評估利用影像比對技術進行廣域地滑監測之可行性。
本研究係利用兩套軟體進行影像比對，(1)Crippen於1992年提出之Imageodesy(影像測量學)之概念結合J.P. Lewis(1995)提出之Fast Normalized Cross-Correaltion(FNCC)演算方式，將兩張相同區域不同拍攝時間點之遙測影像藉由電腦計算，獲得兩期影像彼此間的相關係數，進而判釋出該地區影像中地表特徵物位置，並可計算出該地表特徵物於二期影像間相對之位移量，藉由此項技術，地滑所產生之地表潛變可由計算而發現其位移情況；(2)利用PIV（Particle Image Velocimetry）軟體將影像中粒子定位並分析其位移情況之特性，於地滑災害中可將災前與災後遙測影像執行快速的判釋。
研究區域為南投縣中寮鄉紅菜坪地區，該地區位於九份二山西側，於粗坑背斜西翼。該地區之地滑現象發生於1999年集集地震後三至五天由規模6.8之餘震所觸發之一大規模之地表潛移，其範圍約為100公頃，於遙測影像中因地表無明顯之地滑特徵，所以無法直接於遙測影像中藉由人工判釋其整體滑動之分布範圍，透過FNCC與PIV之影像計算及現地調查，可以得到以下結論：(1)於集集地震前後影像中地表特徵物具有最大位移25.2公尺向西北之滑移量，並藉由計算結果可區分出N30°W、N45°W及N60°W等三群不同滑移方向，且與當地地形相關； (2)藉由航照判釋與現地調查可描繪出地滑區之滑動模式，並與影像計算結果交叉比對，可印證計算結果之合理性，進而分析使用軟體之限制；(3)利用影像比對技術對廣域地滑監測為可行的，且相較於傳統監測方式所需經費少，於正確的設定下可快速獲得有效結果。

The purpose of this research is monitoring local area surface displacement. The first step is discriminating and computing the characteristic marks displacement between remote sensing images on different dates, and the second step is investigating into the movement properties by field works. Comparing the results estimates the feasibility of technique to monitor landslide by comparing image pair.
This study uses two softwares FNCC(J.G. Liu) and PIVview(PIVTEC GMBH free demo version) analyzes remote sensing images.(including aerial photographs﹑Formosat-2 images and SPOT images) These softwares compute the characteristic marks in the remote sensing images on different date at the same area. By computing the characteristic marks in FNCC we obtain the correlation coefficient and the displacement at each pixel. We can receive more precise displacement data by filtering out the pixels which marked lower correlation coefficient. By computing image pair in PIVview we acquire displacement field quickly, so as to set the computing arguments further.
The study area “Huangtsaiping” is in Jhongliao township in Nantou County, at the westward of Tsukeng Anticline. The landslide triggered by aftershock of Chi-Chi earthquake, the boundary of the landslide is more than one square kilometer. Because of the landslide at Huangtsaiping is similar to creep, it is hard to tell the boundary in remote sensing images. By image pair computing in two softwares and field works, we can get these conclusions: (1) By image pair analysis we got the maximum displacement is 25.2 meters north by west and analyzed three slide direction (N30°W﹑N45°W and N60°W). (2)By way of comparing the results of image pair analysis and field works, we proved the Rational result of calculation and found the limits of softwares. (3) Image pair analysis technique is workable and spends less expense than traditional survey if arguments setting is reasonable.

潘國樑，“環境地質與防災科技”，地景，p.196，2005
黃鑑水等，“台灣地質圖說明書-埔里”，經濟部中央地質調查所，2000
李錦發等，“數值航測應用於山崩調查 – 以紅菜坪地滑為例”，經濟部中央地質調查所報告，2004
李錦發等，“台中一江橋崩塌地崩塌機制之探討”，經濟部中央地質調查所，2004
黃安斌等，“紅菜坪地滑監測系統建立與變形機制研究(1/2) ”，國立交通大學，2005
Adrian, R.J. , “Particle-imaging techniques for experimental fluid mechanics”, Annu.Rev. Fluid Mech, 23, p.261-304, 1991.
Bilinder, J. , “On the accuracy of a digital particle image velocimetry system”,Department of heat and power engineering division of fluid mechanics lund institute of technology, Technical report, 1999.
Canuti, P. , “Landslide activity as a geoindicator in Italy: Significance and new perspectives from remote sensing”, Environmental Geology, 45(7), p.907-979, 2004.
Cheng, K. , “Locatiing landslides using multitemporal satellite images”, Advances in Space Research, 33, p.296-301, 2004.
Crippen, R. E. , “Measurements Of Subresolution Terrain Displacements Using SPOT Phanchromatic Imagery”, Episodes 15, p.56-61, 1992.
Hervás, J. , “Monitoring landslide form optical remotely sensed imagery: the case history of Tessina landslide, Italy”, Geomorphology, 54, p.63-75, 2003.
Jan, V. ,“Land cover mapping at sub-pixel scales using linear optimization techniques”, Remote Sensing of Environment, 79, p.96-104, 2002.
Lewis, J. P., “Fast Normalized Cross-Correlation, Vision Interface ‘Fast Template Matching’ ”, p.120-123, 1995.
Liu, J. G. , “Imageodesy on MPI & GRID for Co-seismic Shift Study Using Satellite Optical Imagery”,Proc. (CD) of the UK e-Science All Hands Meeting 2004，31st August – 3rd September 2004 Nottingham, UK. p.232-239, 2004.
Liu, J. G. , “Landslide hazard assessment in the Three Gorges area of the Yangtze river using ASTER imagery: Zigui-Badong”, Geomorphology, 61, p.171-187, 2004.
Mantovani, F. , “Remote sensing techniques for landslide studies and hazard zonation in Europe”,Geomorphology, 15, p.213-225, 1996.
Metternicht, G. , “Remote sensing of landslide : An Analysis of the potential contribution to geo-spatial system for hazard assessment in mountaionous environments”, Remote Sensing of Environment, 98, p.284-223, 2005.
Oštir, K. ,“Application of satellite remote sensing in natural hazard management: the Mount Mangart landslide case study”, International Journal of Remote Sensing, Vol. 24, No.20, p.3983-4002, 2003.
PivTec GmbH , “PIVview User Manual Version 2.1”, 2003.
PivTec GmbH , “PIVview User Manual Version 2.3”, 2005.
Saha, A. K. , “GIS-based Landslide Hazard Zonation in the Bhagirathi (Ganga) Valley, Himalayas”, International Journal of Remote Sensing, Vlo.23, No.2, p.357-369, 2002.
Tseng, C.H. , “A Slow Slide in central Taiwan Induced by Chi-Chi Earthquake revealed by PIV Analysis”, Chinese Geophysical Society, p.305-414, 2005.
van Westen, C. , “Analyzing the evolution of the Tessina landslide using aerial photographs and digital elevation models”, Geomorphology, 54, p.77-89, 2003.
Westerweel, J. , “Fundamentals of digital particle image velocimetry”, Meas. Sci. Technol., 8, p.1379-1392, 1997.
Yamaguchi, Y. , “Detection of a landslide movement as geometric misregistration in image matching of SPOT HRV data of two different dates”, Remote Sensing, VOL. 24 NO. 18, p.3523-3534, 2003.
Zhou, C. H. , “Satellite image analysis of a huge landslide at Yi Gong, Tibet, China”, Quartterly Journal of Engineering Geology and Hydrogeology, 34, p.325-432, 2001.