應用多時序雷達影像與多觀測模式進行山區地形校正與崩塌地判釋;Integration Multi-Temporal and Multi-Looking Sar Images for Terrain Correction and Landslide Mapping in Mountainous Area

NCUIR > Research Center > Center for Space and Remote Sensing Research > Research Project > Item 987654321/84544

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/84544

Title:	應用多時序雷達影像與多觀測模式進行山區地形校正與崩塌地判釋;Integration Multi-Temporal and Multi-Looking Sar Images for Terrain Correction and Landslide Mapping in Mountainous Area
Authors:	姜壽浩
Contributors:	太空及遙測研究中心
Keywords:	崩塌判釋;多時序雷達影像;極化模式;Sentinel-1;觀測模式;Landslide detection;multi-temporal SAR imagery;polarization mode;Sentinel-1;observation mode
Date:	2020-12-08
Issue Date:	2020-12-09 09:42:41 (UTC+8)
Publisher:	科技部
Abstract:	針對崩塌判釋工作，利用高解析度的光學遙測影像進行崩塌地判釋為現行的主流的方法，且自動化以及半自動化的快速判釋技術相當有助於進行緊急性的崩塌災情分析，但光學資料的缺點為受天候雲霧影響，有雲霧遮蔽時無法清楚觀測地表，此問題對於強降雨誘發之崩塌(如颱風有雲系覆蓋狀況)的即時判釋工作上有極大的限制。本計劃於108年度之科技部計畫提出整合多個包含事件前後之衛星觀測資料，配合變遷偵測方法可有利於崩塌判釋，且基於由於合成孔徑雷達觀測較不受天候影響，對即時的崩塌災害判釋相當有利。而本計劃(109年度申請)則將進一步提出一整合多時序雷達影像之崩塌判釋方法，利用結合不同時間之雷達影像建構崩塌地在時間軸上之特徵序列，並應用本研究108年度之研究成果，使用多角度觀測之雷達資料進行地形校正後得到更佳之分析資後可以精進雷達衛星資料對於崩塌地的判釋能力。本研究認為，應用雷達影像進行崩塌地偵測有其價值及必要，特別在颱風事件及過後期間及過後，在雲霧覆蓋使得可見光影像無法運用在災害監測的狀況下。本計畫期望研究成果能有助於精進現有之山區崩塌災害監測方法，對我國崩塌災害管理與減災措施能有具體貢獻。 ;To detect landslide hazards for a wide region, remotely sensed data has been applied due to its efficiency and low cost. However, the cloudy condition during a typhoon may limit the application of optical data. For an emergent monitoring task, Synthetic Aperture Radar (SAR) is, therefore, a suitable tool for detecting landslides in cloudy and rainy weather. Our previous study (2018 MOST project) has proposed a change detection method with applying images from multiple observation modes for landslide mapping. In this study, we will further eliminate the effects of terrain over mountainous areas to produce better synthetic images for the analysis . This study, therefore, aims to develop an effective landslide detection method, applying an algorithm that is expected to combine different observation modes to correct terrain effect. In addition, multi-temporal Sentinel-1 C-band SAR images (VV and VH) will be used to construct the temporal signatures of landslide. We expect the method proposed in this study could serve as a part of a rapid response system of hazard monitoring when optical data is not available.
Relation:	財團法人國家實驗研究院科技政策研究與資訊中心
Appears in Collections:	[Center for Space and Remote Sensing Research ] Research Project

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	205	View/Open

社群 sharing

Loading...