题名

以SBAS-InSAR技術量測水庫集水區邊坡沖蝕變化

并列篇名

Monitoring Soil Erosion Changes on Slopes Through SBAS-InSAR Technology

DOI

10.29417/JCSWC.202203_53(1).0004

作者

謝渝棋(Yu-Chi Hsieh);蕭宇伸(Yu-Shen Hsiao);卓宥瑄(Yu-Hsuan Cho)

关键词

SBAS-InSAR ; 石門水庫 ; 土壤沖蝕 ; SBAS-InSAR ; Shihmen Reservoir ; soil erosion

期刊名称

中華水土保持學報

卷期/出版年月

53卷1期(2022 / 03 / 01)

页次

35 - 42

内容语文

繁體中文

中文摘要

本研究採用合成孔徑雷達干涉(Interferometric Synthetic Aperture Radar, InSAR)技術中的短基線差分干涉法(Small Baseline Subset InSAR, SBAS-InSAR),推估石門水庫集水區範圍於2015年之土壤年沖蝕速率,進而估計本集水區沖蝕量體。研究資料選用Sentinel-1衛星影像共20幅。SBAS-InSAR計算得之年沖蝕速率將與沖蝕針監測成果驗證,而SBAS-InSAR計算得之沖蝕量體則與土壤流失公式計算結果相互比較。本研究結果如下:(1)採用上升軌道與至少12幅Sentinel-1衛星影像計算能有較好的成果;(2)未考慮濾波時,在資料處理階段張力係數值選用0.25且不使用區塊平均法,有較佳之SBAS-InSAR成果,與沖蝕針監測成果相比,兩者相關係數值在自然邊坡達到0.56,整治邊坡則達0.51;(3)考慮濾波處理時,8公里之高斯濾波半徑能有較佳SBAS-InSAR成果,與沖蝕針監測成果相比,兩者相關係數值在自然邊坡達到0.67,整治邊坡則達到0.57;(4)SBAS-InSAR與土壤流失公式計算得之沖蝕量體,兩者有趨勢大致相同。

英文摘要

We use small baseline subset interferometric synthetic aperture radar InSAR (SBAS-InSAR) to estimate the annual soil erosion rate in the catchment area of Shihmen Reservoir in 2015 and then estimate the soil erosion volume of this catchment area. The study data are 20 Sentinel-1 satellite images. The annual soil erosion rates derived from the SBAS-InSAR are validated using those derived from erosion pins. The soil erosion volumes estimated using SBAS-InSAR are compared with those estimated using the universal soil loss equation (USLE). The results reveal that more accurate estimations of the annual soil erosion rate are achieved when at least 12 satellite images of the ascending orbits are employed. When filtering is not considered, the tension coefficient is 0.25 and block averaging is not used during data processing; this achieves better SBAS-InSAR results. Compared with erosion pin monitoring results, the correlation coefficient is 0.56 for natural slopes and 0.51 for remedial slopes. When considering filtering processing, an approximately 8-km Gaussian filter radius achieves the optimal SBAS-InSAR results; compared with erosion pin monitoring results, the correlation coefficient is 0.67 for natural slopes and 0.57 for remedial slopes. Finally, soil erosion volumes estimated using SBAS-InSAR and USLE display similar trends.

主题分类 生物農學 > 農業
生物農學 > 森林
生物農學 > 畜牧
生物農學 > 漁業
生物農學 > 生物環境與多樣性
工程學 > 土木與建築工程
工程學 > 市政與環境工程
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