国产L-SAR卫星在不同植被覆盖度下的干涉能力

doi:10.13474/j.cnki.11-2246.2025.0224

测绘通报 ›› 2025, Vol. 0 ›› Issue (2): 132-136.doi: 10.13474/j.cnki.11-2246.2025.0224

国产L-SAR卫星在不同植被覆盖度下的干涉能力

李晓天^1,2,3, 詹远增^1,2,3, 周伟^1,2,3, 赵建雪^1,2,3, 吕燕妃^1,2,3, 施利涛^1,2,3, 冯存均^1,2,3

1. 浙江省测绘科学技术研究院, 浙江杭州 310000;
2. 自然资源浙江省卫星应用技术中心, 浙江杭州 310000;
3. 自然资源部地理国情监测重点实验室, 浙江杭州 310000

收稿日期:2024-07-30 发布日期:2025-03-03
通讯作者: 周伟。E-mail:67412056@qq.com
作者简介:李晓天(1990—),男,硕士,工程师,研究方向为遥感技术与应用。E-mail:393728894@qq.com
基金资助:
浙江省自然资源厅科技项目(2023-39)

Interferometric capability of domestic L-SAR satellite under different vegetation coverage

LI Xiaotian^1,2,3, ZHAN Yuanzeng^1,2,3, ZHOU Wei^1,2,3, ZHAO Jianxue^1,2,3, Lü Yanfei^1,2,3, SHI Litao^1,2,3, FENG Cunjun^1,2,3

1. Zhejiang Institute of Surveying and Mapping Science and Technology, Hangzhou 310000, China;
2. Zhejiang Satellite Application Technology Center for Natural Resources, Hangzhou 310000, China;
3. Key Laboratory for Geographic State Monitoring, Ministry of Natural Resources, Hangzhou 310000, China

Received:2024-07-30 Published:2025-03-03

摘要/Abstract

摘要： 本文围绕L-SAR数据在植被茂密山区地表形变探测能力问题,以浙江、江西、安徽三省交界处作为研究区域,基于L-SAR数据和高分辨率多光谱数据,以植被覆盖度和干涉相干性存在负相关关系为先验条件,采用Pearson's相关系数方法获取相干估计样本数据,通过样本统计分析与拟合的方式,分析评价L-SAR数据在不同植被覆盖度下的干涉能力。研究表明:①L-SAR干涉相干性与植被覆盖度有较强的Logistic回归,其中,植被覆盖度在0.2～0.4时,干涉相干系数下降速度最快。②在低、中低植被覆盖度下,L-SAR数据干涉效果好且稳定;在中植被覆盖度下干涉效果相对较好但不太稳定;在高植被覆盖区域,干涉效果不理想。

关键词: L-SAR, 植被茂密山区, 植被覆盖度, 干涉相干性

Abstract: Focusing on the problem of surface deformation detection ability of L-SAR data in densely vegetated mountainous areas,taking the junction of Zhejiang,Jiangxi and Anhui provinces as the study area,based on the L-SAR data and high-resolution multispectral data,and with the negative correlation between vegetation coverage and interference coherence as the a priori condition,the Pearson's correlation coefficient method is adopted to obtain the sample data for coherence estimation,and the sample data are analyzed and evaluated under different vegetation coverage by means of statistical analysis and fitting. Pearson's correlation coefficient method is used to obtain the sample data for coherence estimation,and then analyzes and evaluates the interferometric capability of L-SAR data under different vegetation cover by means of statistical analysis and fitting. The study shows that:① There is a strong Logistic regression between L-SAR interference coherence and vegetation cover,in which the interference coherence coefficient decreases the fastest when the vegetation cover is from 0.2 to 0.4.② The interference effect of L-SAR data is good and stable under low and medium-low vegetation cover; the interference effect is relatively good but less stable under medium vegetation cover; the interference effect is unsatisfactory in the region with high vegetation cover. In the area of high vegetation cover,the interference effect is unsatisfactory.

Key words: L-SAR, densely vegetated mountainous areas, vegetation cover, interferometric coherence

中图分类号:

P237

李晓天, 詹远增, 周伟, 赵建雪, 吕燕妃, 施利涛, 冯存均. 国产L-SAR卫星在不同植被覆盖度下的干涉能力[J]. 测绘通报, 2025, 0(2): 132-136.

LI Xiaotian, ZHAN Yuanzeng, ZHOU Wei, ZHAO Jianxue, Lü Yanfei, SHI Litao, FENG Cunjun. Interferometric capability of domestic L-SAR satellite under different vegetation coverage[J]. Bulletin of Surveying and Mapping, 2025, 0(2): 132-136.

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国产L-SAR卫星在不同植被覆盖度下的干涉能力

Interferometric capability of domestic L-SAR satellite under different vegetation coverage

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