气候变化领域集成服务门户(CCPortal): An automated procedure to map breaking river ice with C-band HH SAR data

CCPortal

DOI	10.1016/j.rse.2020.112119
	An automated procedure to map breaking river ice with C-band HH SAR data
	van der Sanden J.J.; Drouin H.; Geldsetzer T.
发表日期	2021
ISSN	00344257
卷号	252
英文摘要	The development of effective strategies to manage the river ice breakup process or the associated risks is hindered by a lack of understanding and information. Radar earth observation satellites offer excellent potential for collecting up-to-date information on the conditions of and changes in river ice cover during the breakup period. This text describes the development, performance and limitations of an automated procedure to map breaking river ice by means of C-band, HH-polarized Synthetic Aperture Radar (SAR) images. An original two-step supervised classification model (IceBC), which uses backscatter intensities, lies at the core of the procedure. First, IceBC identifies three primary classes: water, sheet ice and rubble ice. Next, each primary ice class is divided in three secondary classes that denote top surface roughness scale differences. Input images must have incidence angles from ~27° to ~60°. Below ~36°, IceBC may assign a class labelled “unclassified” to water or sheet ice pixels. The primary classification model yields overall accuracies of ~86% and ~93% for independent test pixels with incidence angles ≤ ~49° and ≥ ~29° or ≥ ~36°, respectively. The associated class accuracies for water, sheet ice and rubble ice are ~97% & 96%, ~69% & 85% and ~97% & 99%. Given its connection to ice jam flood events, the classification accuracy achieved for rubble ice is particularly important. Maps produced by means of IceBC comprise detailed spatial information regarding ice cover conditions and the development of the breakup process. Their quality may be affected by: freezing conditions, wet snow cover, meltwater pools, infrastructure, rapids or high winds. Monitoring is the key to managing the impacts of most of these challenges. An IceBC prototype has been used operationally since 2015. © 2020
英文关键词	Breakup; Classification; Floods; Ice; Ice jams; Mapping; Radar earth observation; RADARSAT; Rivers; Synthetic Aperture Radar
语种	英语
scopus关键词	Backscattering; Floods; Meteorological problems; Pixels; Radar imaging; Rivers; Snow; Surface roughness; Synthetic aperture radar; Automated procedures; Backscatter intensity; Classification accuracy; Classification models; Earth observation satellites; Spatial informations; Supervised classification; Synthetic aperture radar (SAR) images; Ice; automation; data quality; freezing; ice breakup; ice cover; meltwater; pixel; river ice; satellite imagery; snow cover; supervised classification; surface roughness
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179090
作者单位	Natural Resources Canada, Canada Centre for Mapping and Earth Observation, 560 Rochester Street, Ottawa, ON K1A 0E4, Canada
推荐引用方式 GB/T 7714	van der Sanden J.J.,Drouin H.,Geldsetzer T.. An automated procedure to map breaking river ice with C-band HH SAR data[J],2021,252.
APA	van der Sanden J.J.,Drouin H.,&Geldsetzer T..(2021).An automated procedure to map breaking river ice with C-band HH SAR data.Remote Sensing of Environment,252.
MLA	van der Sanden J.J.,et al."An automated procedure to map breaking river ice with C-band HH SAR data".Remote Sensing of Environment 252(2021).