中国岩溶2020，Vol.39Issue(6)：928-936,9.DOI:10.11932/karst20200612
IFSAR-DEM在岩溶洼地探测中的应用
——以薄荷省旁劳市沉降灾害评估为例
Karst depression detection using IFSAR-DEM:A tool for subsidence hazard assessment in Panglao, Bohol
Kevin L.Garas 1Madonna Feliz B.Madrigal 1Ross Dominic D.Agot 1Mark Carlo M.Canlas 1Liza Socorro J.Manzano1
作者信息
- 1. 矿山与地球科学局,环境与自然资源部,马尼拉 1128,菲律宾
- 折叠
摘要
Abstract
Karst studies employ high-resolution satellite images and geospatial data to identify and delineategeomorphic features that are critical to karst development and related hazard. This paper aims to determine the efficiency of Interferometric Synthetic Aperture Radar-derived Digital Elevation Model (IFSAR-DEM) to identify,quantify and characterize karst depressions using ArcGIS 10. 0. The semi-automated karst depression/sinkhole detection method used water flow simulation approach that incorporated a)watershed delineation;b) sink-and-fill to extract depression features;c)sink-depth measurements and classification;and d)validation of detected karst depressions using Hyperspectral Google Satellite Image of 2013-2014 and Digital Terrain Model. The method was pre-tested in the assessment conducted in the Municipality of Panglao,Bohol. Initial closed-depression analysis using 1991 National Mapping and Resource Information Authority 1:50,000 scale topographic map counted 15 sinkholes in Panglao. Using 5 m high resolution IFSAR-DEM,there are 820 sinkholes detected,424 of which were delineated through detailed ground truth to validate the presence of karst depressions. Ground truth included basic morphometric analysis,such as common sinkhole size,shape and depth,to eliminate false positives. Threshold values in sink depth of >1. 0 m and aperture size of >10 m were designated to distinguish true sinkholes with maximum accuracy. This GIS-based tool is deemed helpful to generate high-resolution karst subsidence susceptibility map that will guide local planners and engineers,as well as policy-makers,in land use and development planning.关键词
岩溶/沉降/天坑/IFSAR-DEM/GIS/薄荷岛Key words
karst/subsidence/sinkhole/IFSAR-DEM/GIS/Bohol引用本文复制引用
Kevin L.Garas,Madonna Feliz B.Madrigal,Ross Dominic D.Agot,Mark Carlo M.Canlas,Liza Socorro J.Manzano..IFSAR-DEM在岩溶洼地探测中的应用
——以薄荷省旁劳市沉降灾害评估为例[J].中国岩溶,2020,39(6):928-936,9.
