森林地形的超时雷达卫星SAR数据

R. Sharma, D. Leckie, D. Hill, B. Crooks, A. S. Bhogal, P. Arbour, S. D’Eon
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引用次数: 5

摘要

在Petawawa研究森林的一个已建立的试验场上,组装了一个由97个Radarsat c波段SAR图像(1996-2004年期间获取)和支持地面数据组成的超时相数据集,并用于检查多时相雷达数据的特征。可以创建一致的数据集,但随时间的反向散射模式可能受到不同环境和物候条件的强烈影响。本文对不同森林类型和开放区域的后向散射进行了研究。冰冻温度、雨水润湿、露水、湿雪、物候条件和洪水等因素会导致后向散射模式的异常和变化,从而影响诸如土地覆盖类型、时间过滤、检测变化和识别特定生态位等应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hyper-temporal radarsat SAR data of a forested terrain
A hyper-temporal dataset of 97 Radarsat C-Band SAR imagery (acquired during 1996-2004) and supporting ground data over an established test site at Petawawa Research Forest was assembled and used to examine the characteristics of multitemporal radar data. Consistent data sets can be created but the backscatter pattern over time can be strongly influenced by different environmental and phenological conditions. In this paper, the backscatter from different forest types and open areas were examined. Factors such as freezing temperatures, rain wetting, dew, wet snow, phenological condition and flooding cause anomalies and changes in backscatter pattern that affect applications such as land cover typing, temporal filtering, detecting changes and identifying specific ecological niches.
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