台灣雲林縣地層下陷研究：以航空攝影測量與基於光達產製的數值地形模型偵測高程變化

碩士國立政治大學地政學系 108257032 夏季多雨而冬季乾燥是台灣的氣候特徵。冬季降雨不足導致農田地區的人們主要從地下抽取地下水來滿足農業需求。降雨不足和地下水開採量大幅增加導致地下水位下降，並最終致使地面持續下陷。這已經成為一個嚴峻的挑戰，尤其是位於台灣西部海岸的雲林縣是台灣的主要農業中心。雖然下陷情況在過往一直默默的持續發生而不醒目，但近年來這個問題已經開始影響到高鐵線路而引起了大眾的關注。\n隨著科學技術的進步，現在可以使用多種不同的遙感探測技術來觀測大尺度地表變形，通過獲取地物的三維坐標來建立高精度的地形模型。政府目前使用四種不同的測量技術進行監測。通過攝影測量技術缺乏對現有航...

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Main Authors:	王歆瑋, Wang, Hsin-Wei
Other Authors:	范噶色, Stephan van Gasselt
Format:	Thesis
Language:	unknown
Published:	2021
Subjects:	地層下陷變化監測航空攝影測量數值地形模型表面匹配 Land Subsidence Change Detection Aerial Photogrammetry Digital Surface Model Surface Matching Journal of Glaciology
Online Access:	https://nccur.lib.nccu.edu.tw//handle/140.119/137048 https://doi.org/10.6814/NCCU202101258 https://nccur.lib.nccu.edu.tw/bitstream/140.119/137048/1/703201.pdf

id	ftchengchi:oai:nccur.lib.nccu.edu.tw:140.119/137048
record_format	openpolar
institution	Open Polar
collection	National Chengchi University Institutional Repository (NCCUIR)
op_collection_id	ftchengchi
language	unknown
topic	地層下陷變化監測航空攝影測量數值地形模型表面匹配 Land Subsidence Change Detection Aerial Photogrammetry Digital Surface Model Surface Matching
spellingShingle	地層下陷變化監測航空攝影測量數值地形模型表面匹配 Land Subsidence Change Detection Aerial Photogrammetry Digital Surface Model Surface Matching 王歆瑋 Wang, Hsin-Wei 台灣雲林縣地層下陷研究：以航空攝影測量與基於光達產製的數值地形模型偵測高程變化
topic_facet	地層下陷變化監測航空攝影測量數值地形模型表面匹配 Land Subsidence Change Detection Aerial Photogrammetry Digital Surface Model Surface Matching
description	碩士國立政治大學地政學系 108257032 夏季多雨而冬季乾燥是台灣的氣候特徵。冬季降雨不足導致農田地區的人們主要從地下抽取地下水來滿足農業需求。降雨不足和地下水開採量大幅增加導致地下水位下降，並最終致使地面持續下陷。這已經成為一個嚴峻的挑戰，尤其是位於台灣西部海岸的雲林縣是台灣的主要農業中心。雖然下陷情況在過往一直默默的持續發生而不醒目，但近年來這個問題已經開始影響到高鐵線路而引起了大眾的關注。\n隨著科學技術的進步，現在可以使用多種不同的遙感探測技術來觀測大尺度地表變形，通過獲取地物的三維坐標來建立高精度的地形模型。政府目前使用四種不同的測量技術進行監測。通過攝影測量技術缺乏對現有航拍影像的使用，其他方法可能會在某些區域提供更高的解析度。儘管該數據源具有廣泛的區域和時間覆蓋範圍和可用性，但目前尚未使用。出於這個原因，本研究使用航空攝影測量方法作為核心，以探索其可用性。\n本研究旨在確定雲林縣顯著地層下陷的位置，並且量化之。這個目標可以藉由使用航空攝影測量技術從航空影像產製多時序數值地形模型 (DSM)，並使用表面匹配技術進行表面的共同匹配來實現。藉由上述步驟可得差異模型以評估局部地勢差異並量化地層下陷影響。多時序資料可用來比較不同年份的 DSM 以觀察研究區域的變化。 The climate in Taiwan is characterized by heavy rainfall during the months of summer and less rainfall in winter. The lack of rainfall in winter months requires people in farmland areas to pump groundwater from the subsurface in order to meet their needs in agriculture mainly. The lack of rainfall, and a considerable increase of groundwater pumping causes lowering of the groundwater table with the ultimate consequence of continuous land subsidence, which has become a serious challenge in particular in Yunlin county, located at the west coast of Taiwan and constituting one of the main agricultural centers of Taiwan. While the process of subsidence has been silent, the problem recently drew public attention as it started to affect the high-speed rail line.\nWith the advancement of science and technology, it is now possible to use a variety of different remote sensing detection technologies to observe large-scale surface deformations, and to create high-precision terrain models through the three-dimensional coordinates of the acquired ground objects. The government currently uses four different measurement techniques for monitoring. There is a lack of usage of existing aerial images through photogrammetric techniques and while other methods might provide higher resolution in certain areas, this data source has not been employed thus far despite wide area and temporal coverage and availability. For that reason, aerial photogrammetric methods are put at the center of ...
author2	范噶色 Stephan van Gasselt
format	Thesis
author	王歆瑋 Wang, Hsin-Wei
author_facet	王歆瑋 Wang, Hsin-Wei
author_sort	王歆瑋
title	台灣雲林縣地層下陷研究：以航空攝影測量與基於光達產製的數值地形模型偵測高程變化
title_short	台灣雲林縣地層下陷研究：以航空攝影測量與基於光達產製的數值地形模型偵測高程變化
title_full	台灣雲林縣地層下陷研究：以航空攝影測量與基於光達產製的數值地形模型偵測高程變化
title_fullStr	台灣雲林縣地層下陷研究：以航空攝影測量與基於光達產製的數值地形模型偵測高程變化
title_full_unstemmed	台灣雲林縣地層下陷研究：以航空攝影測量與基於光達產製的數值地形模型偵測高程變化
title_sort	台灣雲林縣地層下陷研究：以航空攝影測量與基於光達產製的數值地形模型偵測高程變化
publishDate	2021
url	https://nccur.lib.nccu.edu.tw//handle/140.119/137048 https://doi.org/10.6814/NCCU202101258 https://nccur.lib.nccu.edu.tw/bitstream/140.119/137048/1/703201.pdf
genre	Journal of Glaciology
genre_facet	Journal of Glaciology
op_relation	Abidin, H., Andreas, H., Gumilar, I., & Brinkman, J., 2015, "Study on the risk and impacts of land subsidence in Jakarta", Proceedings of the International Association of Hydrological Sciences, 372: 115.\nAbidin, H. Z., Andreas, H., Djaja, R., Darmawan, D., & Gamal, M., 2008, "Land subsidence characteristics of Jakarta between 1997 and 2005, as estimated using GPS surveys", Gps Solutions, 12: 23-32.\nAl-Halbouni, D., Holohan, E. P., Saberi, L., Alrshdan, H., Sawarieh, A., Closson, D., . . . Dahm, T., 2017, "Sinkholes, subsidence and subrosion on the eastern shore of the Dead Sea as revealed by a close-range photogrammetric survey", Geomorphology, 285: 305-324.\nÁlvarez, J. A. P., Herrera, V. M., del Pozo, J. Á. M., & de Tena, M. T., 2013, "Multi-temporal archaeological analyses of alluvial landscapes using the photogrammetric restitution of historical flights: a case study of Medellin (Badajoz, Spain)", Journal of archaeological science, 40: 349-364.\nAndreas, H., Abidin, H. Z., Gumilar, I., Sidiq, T. P., & Yuwono, B. (2017). Adaptation and mitigation of land subsidence in Semarang.\nAntonarakis, A. S., Richards, K. S., & Brasington, J., 2008, "Object-based land cover classification using airborne LiDAR", Remote sensing of environment, 112: 2988-2998.\nBaltsavias, E., & Gruen, A., 2003, "Resolution convergence: a comparison of aerial photos, LIDAR and IKONOS for monitoring cities", Remotely Sensed Cities, Taylor & Francis, London, 47-82.\nBesl, P. J., & McKay, N. D., 1992, "Method for registration of 3-D shapes", Sensor fusion IV: control paradigms and data structures,\nBrun, F., Buri, P., Miles, E. S., Wagnon, P., Steiner, J., Berthier, E., . . . Pellicciotti, F., 2016, "Quantifying volume loss from ice cliffs on debris-covered glaciers using high-resolution terrestrial and aerial photogrammetry", Journal of Glaciology, 62: 684-695.\nChan, Y. K., & Koo, V. C., 2008, "An introduction to synthetic aperture radar (SAR)", Progress In Electromagnetics Research, 2: 27-60.\nChen, M., Tomás, R., Li, Z., Motagh, M., Li, T., Hu, L., . . . Gong, X., 2016, "Imaging land subsidence induced by groundwater extraction in Beijing (China) using satellite radar interferometry", Remote Sensing, 8: 468.\nChu, H.-J., Ali, M. Z., & Burbey, T. J., 2021, "Spatio-temporal data fusion for fine-resolution subsidence estimation", Environmental Modelling & Software, 137: 104975.\nDastgir, N. (2007). Processing SAR data using RangeDoppler and Chirp Scaling Algorithms. In.\nDing, W., Wang, J., Han, S., Almagbile, A., Garratt, M. A., Lambert, A., & Wang, J. J., 2009, "Adding optical flow into the GPS/INS integration for UAV navigation", Proc. of International Global Navigation Satellite Systems Society Symposium,\nDu, S., Zhang, Y., Qin, R., Yang, Z., Zou, Z., Tang, Y., & Fan, C., 2016, "Building change detection using old aerial images and new LiDAR data", Remote Sensing, 8: 1030.\nErban, L. E., Gorelick, S. M., & Zebker, H. A., 2014, "Groundwater extraction, land subsidence, and sea-level rise in the Mekong Delta, Vietnam", Environmental Research Letters, 9: 084010.\nEyers, R., & Mills, J., 2004, "Subsidence detection using integrated multi temporal airborne imagery", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 34:\nFaunt, C. C., & Sneed, M., 2015, "Water availability and subsidence in California`s Central Valley", San Francisco Estuary and Watershed Science, 13:\nFerretti, A., Prati, C., & Rocca, F., 2000, "Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry", IEEE Transactions on geoscience and remote sensing, 38: 2202-2212.\nGabriel, A. K., Goldstein, R. M., & Zebker, H. A., 1989, "Mapping small elevation changes over large areas: Differential radar interferometry", Journal of Geophysical Research, 94:\nGalloway, D. L., & Burbey, T. J., 2011, "Review: Regional land subsidence accompanying groundwater extraction", Hydrogeology Journal, 19: 1459-1486.\nGalloway, D. L., Erkens, G., Kuniansky, E. L., & Rowland, J. C., 2016, "Preface: Land subsidence processes", Hydrogeology Journal, 24: 547-550.\nGalloway, D. L., Jones, D. R., & Ingebritsen, S. 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L., 2014, "Coastal subsidence and relative sea level rise", Environmental Research Letters, 9: 091002.\nKarlsrud, K., Vangelsten, B., & Frauenfelder, R., 2017, "Subsidence and Shoreline Retreat in the Ca Mau Province–Vietnam Causes, Consequences and Mitigation Options", Geotechnical Engineering Journal of the SEAGS & AGSSEA, 48:\nKayi, A., Erdoğan, M., & Eker, O., 2015, "OPTECH HA-500 ve RIEGL LMS-Q1560 ile gerçekleştirilen LİDAR test sonuçları", Harita dergisi, 153: 42-46.\nLiu, C.-W., Chen, S.-K., Jou, S.-W., & Kuo, S.-F., 2001, "Estimation of the infiltration rate of a paddy field in Yun-Lin, Taiwan", Agricultural Systems, 68: 41-54.\nMarfai, M. A., & King, L., 2007, "Monitoring land subsidence in Semarang, Indonesia", Environmental geology, 53: 651-659.\nMekonnen, M. 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A., 2000, Elements of photogrammetry: with applications in GIS, McGraw-Hill New York.\nXu, L., Zhang, S., He, Z., & Guo, Y., 2009, "The comparative study of three methods of remote sensing image change detection", 2009 17th International Conference on geoinformatics.\nYe, S., Xue, Y., Wu, J., Yan, X., & Yu, J., 2015, "Progression and mitigation of land subsidence in China", Hydrogeology Journal, 24: 685-693.\nYin, J., Yu, D., & Wilby, R., 2016, "Modelling the impact of land subsidence on urban pluvial flooding: A case study of downtown Shanghai, China", Science of the Total Environment, 544: 744-753.\nZhang, Wu, & Yang, 2019, "Forests Growth Monitoring Based on Tree Canopy 3D Reconstruction Using UAV Aerial Photogrammetry", Forests, 10:\nZhao, Q., Ma, X., & Yao, Y., 2020, "Preliminary result of capturing the signature of heavy rainfall events using the 2-d-/4-d water vapour information derived from GNSS measurement in Hong Kong", Advances in Space Research, 66: 1537-1550.\nZinßer, T., Schmidt, J., & Niemann, H., 2005, "Point set registration with integrated scale estimation", International conference on pattern recognition and image processing. G0108257032 doi:10.6814/NCCU202101258 https://nccur.lib.nccu.edu.tw//handle/140.119/137048 https://nccur.lib.nccu.edu.tw/bitstream/140.119/137048/1/703201.pdf
op_doi	https://doi.org/10.6814/NCCU202101258
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spelling	ftchengchi:oai:nccur.lib.nccu.edu.tw:140.119/137048 2024-09-15T18:15:42+00:00 台灣雲林縣地層下陷研究：以航空攝影測量與基於光達產製的數值地形模型偵測高程變化 Land Subsidence in Yunlin County, Taiwan: Change Detection using Aerial Photogrammetry and LiDAR-based Digital Terrain Model data 王歆瑋 Wang, Hsin-Wei 范噶色 Stephan van Gasselt 2021 3273977 bytes application/pdf https://nccur.lib.nccu.edu.tw//handle/140.119/137048 https://doi.org/10.6814/NCCU202101258 https://nccur.lib.nccu.edu.tw/bitstream/140.119/137048/1/703201.pdf unknown Abidin, H., Andreas, H., Gumilar, I., & Brinkman, J., 2015, "Study on the risk and impacts of land subsidence in Jakarta", Proceedings of the International Association of Hydrological Sciences, 372: 115.\nAbidin, H. Z., Andreas, H., Djaja, R., Darmawan, D., & Gamal, M., 2008, "Land subsidence characteristics of Jakarta between 1997 and 2005, as estimated using GPS surveys", Gps Solutions, 12: 23-32.\nAl-Halbouni, D., Holohan, E. P., Saberi, L., Alrshdan, H., Sawarieh, A., Closson, D., . . . Dahm, T., 2017, "Sinkholes, subsidence and subrosion on the eastern shore of the Dead Sea as revealed by a close-range photogrammetric survey", Geomorphology, 285: 305-324.\nÁlvarez, J. A. P., Herrera, V. M., del Pozo, J. Á. M., & de Tena, M. T., 2013, "Multi-temporal archaeological analyses of alluvial landscapes using the photogrammetric restitution of historical flights: a case study of Medellin (Badajoz, Spain)", Journal of archaeological science, 40: 349-364.\nAndreas, H., Abidin, H. Z., Gumilar, I., Sidiq, T. P., & Yuwono, B. (2017). Adaptation and mitigation of land subsidence in Semarang.\nAntonarakis, A. S., Richards, K. S., & Brasington, J., 2008, "Object-based land cover classification using airborne LiDAR", Remote sensing of environment, 112: 2988-2998.\nBaltsavias, E., & Gruen, A., 2003, "Resolution convergence: a comparison of aerial photos, LIDAR and IKONOS for monitoring cities", Remotely Sensed Cities, Taylor & Francis, London, 47-82.\nBesl, P. J., & McKay, N. D., 1992, "Method for registration of 3-D shapes", Sensor fusion IV: control paradigms and data structures,\nBrun, F., Buri, P., Miles, E. S., Wagnon, P., Steiner, J., Berthier, E., . . . Pellicciotti, F., 2016, "Quantifying volume loss from ice cliffs on debris-covered glaciers using high-resolution terrestrial and aerial photogrammetry", Journal of Glaciology, 62: 684-695.\nChan, Y. K., & Koo, V. C., 2008, "An introduction to synthetic aperture radar (SAR)", Progress In Electromagnetics Research, 2: 27-60.\nChen, M., Tomás, R., Li, Z., Motagh, M., Li, T., Hu, L., . . . Gong, X., 2016, "Imaging land subsidence induced by groundwater extraction in Beijing (China) using satellite radar interferometry", Remote Sensing, 8: 468.\nChu, H.-J., Ali, M. Z., & Burbey, T. J., 2021, "Spatio-temporal data fusion for fine-resolution subsidence estimation", Environmental Modelling & Software, 137: 104975.\nDastgir, N. (2007). Processing SAR data using RangeDoppler and Chirp Scaling Algorithms. In.\nDing, W., Wang, J., Han, S., Almagbile, A., Garratt, M. A., Lambert, A., & Wang, J. J., 2009, "Adding optical flow into the GPS/INS integration for UAV navigation", Proc. of International Global Navigation Satellite Systems Society Symposium,\nDu, S., Zhang, Y., Qin, R., Yang, Z., Zou, Z., Tang, Y., & Fan, C., 2016, "Building change detection using old aerial images and new LiDAR data", Remote Sensing, 8: 1030.\nErban, L. E., Gorelick, S. M., & Zebker, H. A., 2014, "Groundwater extraction, land subsidence, and sea-level rise in the Mekong Delta, Vietnam", Environmental Research Letters, 9: 084010.\nEyers, R., & Mills, J., 2004, "Subsidence detection using integrated multi temporal airborne imagery", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 34:\nFaunt, C. C., & Sneed, M., 2015, "Water availability and subsidence in California`s Central Valley", San Francisco Estuary and Watershed Science, 13:\nFerretti, A., Prati, C., & Rocca, F., 2000, "Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry", IEEE Transactions on geoscience and remote sensing, 38: 2202-2212.\nGabriel, A. K., Goldstein, R. M., & Zebker, H. A., 1989, "Mapping small elevation changes over large areas: Differential radar interferometry", Journal of Geophysical Research, 94:\nGalloway, D. L., & Burbey, T. J., 2011, "Review: Regional land subsidence accompanying groundwater extraction", Hydrogeology Journal, 19: 1459-1486.\nGalloway, D. L., Erkens, G., Kuniansky, E. L., & Rowland, J. C., 2016, "Preface: Land subsidence processes", Hydrogeology Journal, 24: 547-550.\nGalloway, D. L., Jones, D. R., & Ingebritsen, S. 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G0108257032 doi:10.6814/NCCU202101258 https://nccur.lib.nccu.edu.tw//handle/140.119/137048 https://nccur.lib.nccu.edu.tw/bitstream/140.119/137048/1/703201.pdf 地層下陷變化監測航空攝影測量數值地形模型表面匹配 Land Subsidence Change Detection Aerial Photogrammetry Digital Surface Model Surface Matching thesis 2021 ftchengchi https://doi.org/10.6814/NCCU202101258 2024-08-05T14:55:33Z 碩士國立政治大學地政學系 108257032 夏季多雨而冬季乾燥是台灣的氣候特徵。冬季降雨不足導致農田地區的人們主要從地下抽取地下水來滿足農業需求。降雨不足和地下水開採量大幅增加導致地下水位下降，並最終致使地面持續下陷。這已經成為一個嚴峻的挑戰，尤其是位於台灣西部海岸的雲林縣是台灣的主要農業中心。雖然下陷情況在過往一直默默的持續發生而不醒目，但近年來這個問題已經開始影響到高鐵線路而引起了大眾的關注。\n隨著科學技術的進步，現在可以使用多種不同的遙感探測技術來觀測大尺度地表變形，通過獲取地物的三維坐標來建立高精度的地形模型。政府目前使用四種不同的測量技術進行監測。通過攝影測量技術缺乏對現有航拍影像的使用，其他方法可能會在某些區域提供更高的解析度。儘管該數據源具有廣泛的區域和時間覆蓋範圍和可用性，但目前尚未使用。出於這個原因，本研究使用航空攝影測量方法作為核心，以探索其可用性。\n本研究旨在確定雲林縣顯著地層下陷的位置，並且量化之。這個目標可以藉由使用航空攝影測量技術從航空影像產製多時序數值地形模型 (DSM)，並使用表面匹配技術進行表面的共同匹配來實現。藉由上述步驟可得差異模型以評估局部地勢差異並量化地層下陷影響。多時序資料可用來比較不同年份的 DSM 以觀察研究區域的變化。 The climate in Taiwan is characterized by heavy rainfall during the months of summer and less rainfall in winter. The lack of rainfall in winter months requires people in farmland areas to pump groundwater from the subsurface in order to meet their needs in agriculture mainly. The lack of rainfall, and a considerable increase of groundwater pumping causes lowering of the groundwater table with the ultimate consequence of continuous land subsidence, which has become a serious challenge in particular in Yunlin county, located at the west coast of Taiwan and constituting one of the main agricultural centers of Taiwan. While the process of subsidence has been silent, the problem recently drew public attention as it started to affect the high-speed rail line.\nWith the advancement of science and technology, it is now possible to use a variety of different remote sensing detection technologies to observe large-scale surface deformations, and to create high-precision terrain models through the three-dimensional coordinates of the acquired ground objects. The government currently uses four different measurement techniques for monitoring. There is a lack of usage of existing aerial images through photogrammetric techniques and while other methods might provide higher resolution in certain areas, this data source has not been employed thus far despite wide area and temporal coverage and availability. For that reason, aerial photogrammetric methods are put at the center of ... Thesis Journal of Glaciology National Chengchi University Institutional Repository (NCCUIR)

台灣雲林縣地層下陷研究：以航空攝影測量與基於光達產製的數值地形模型偵測高程變化

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