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首页> 外文会议>Asian conference on remote sensing;ACRS >DEVELOPMENT OF SAR BASED CLASSIFICATION TOOLFOR IDENTIFYING TRANSIENT GLACIER ZONES OF HIMALAYAN GLACIERS
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DEVELOPMENT OF SAR BASED CLASSIFICATION TOOLFOR IDENTIFYING TRANSIENT GLACIER ZONES OF HIMALAYAN GLACIERS

机译：基于SAR的喜马拉雅冰川过渡冰川带识别工具的开发。

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Monitoring of glacial zones provides information on prevailing weather conditions and various glacial parameters, like, wetness condition and stratigraphy, etc. Use of Synthetic Aperture Radar (SAR) data facilitates monitoring of glaciers independent from solar illumination and atmospheric conditions (to some extent). Radar Imaging SATellite-1 (RISAT-1) Medium Resolution SAR (MRS) data is used to develop dual-pol SAR signatures of transient glacial zones, namely, Debris Covered Ice Zone (DCIZ), Bare Ice Zone (BIZ), Super-imposed Ice Zone (SIZ), Wet Snow Zone (WSZ), Seasonal Frozen Percolation Zone (Seasonal FPZ). The two dimensional SAR backscattering signatures (HH and HV polarizations) of the glaciers zones define the linear decision rules. The conditional loop based logics, consist of linear equations, classify glaciated region in to different zones (level 1). Purely backscatter based classification result produces error by mixing DCIZ and seasonal FPZ due to overlapped signatures. Altitude thresholds of accumulation zone are employed to segregate the mixing (level 2). A module is integratedunder Microwave Data Analysis Software (MIDAS). MIDAS,is an in-house software, developed for analyzing microwave data and polarimetric signatures. Thecore module is written in C/C++, whereas, the Graphical User Interface (GUI) is written in TCL/TK. The module requires calibrated ortho-rectified sigma naught dual-pol SAR imagery in Geotiff (.tif) format. The glaciated area should be provided as shape file (shp) format which will generate Area of Interest (AOI). A Digital Elevation Model (DEM) file is required for altitude threshold. The output classes are saved in separate files with Boolean values. The classification module is tested over the Himalayan region from west to east. The universal backscattering based classification result of level 1 is fully automatic. In level 2, altitude threshold is variable since formation of glacial zones depend up on the prevailing weather, which is highly variable from western to eastern Himalaya.
机译：冰川区的监测可提供有关主要天气状况和各种冰川参数（如湿度状况和地层学等）的信息。使用合成孔径雷达（SAR）数据有助于在一定程度上独立于太阳光照和大气状况来监测冰川。雷达成像SATellite-1（RISAT-1）中分辨率SAR（MRS）数据用于开发瞬时冰川带（即碎屑覆盖冰区（DCIZ），裸冰区（BIZ），超级冰河带）的双极化SAR特征。施加冰区（SIZ），湿雪区（WSZ），季节性冻结渗滤区（季节性FPZ）。冰川带的二维SAR反向散射特征（HH和HV极化）定义了线性决策规则。基于条件循环的逻辑由线性方程式组成，将冰川区域分为不同的区域（级别1）。纯粹基于反向散射的分类结果会由于签名重叠而混合DCIZ和季节性FPZ产生错误。蓄积区的海拔阈值用于隔离混合（级别2）。微波数据分析软件（MIDAS）下集成了一个模块。 MIDAS是一种内部软件，旨在分析微波数据和极化特征。 Thecore模块是用C / C ++编写的，而图形用户界面（GUI）是用TCL / TK编写的。该模块需要标定为Geotiff（.tif）格式的经过校正的经正交校正的sigma零双pol SAR图像。冰川区域应以形状文件（shp）格式提供，这将生成感兴趣区域（AOI）。高度阈值需要数字高程模型（DEM）文件。输出类使用布尔值保存在单独的文件中。从西到东在喜马拉雅地区对分类模块进行了测试。 1级基于通用反向散射的分类结果是全自动的。在第2级中，高度阈值是可变的，因为冰川带的形成取决于当时的天气，喜马拉雅山脉西部到东部的气候变化很大。

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