Huacan Hu , Haiqiang Fu , JianJun Zhu , Qijin Han , Aichun Wang , Kefu Wu , Dong Zeng , Yanzhou Xie , Mingxia Zhang , Yang Liu
{"title":"陆坦-1双基地InSAR系统相干性初步评价","authors":"Huacan Hu , Haiqiang Fu , JianJun Zhu , Qijin Han , Aichun Wang , Kefu Wu , Dong Zeng , Yanzhou Xie , Mingxia Zhang , Yang Liu","doi":"10.1016/j.jag.2025.104853","DOIUrl":null,"url":null,"abstract":"<div><div>The LuTan-1 (LT-1) mission, consisting of two nearly identical synthetic aperture radar (SAR) satellites, LT-1A and LT-1B, conducted unprecedented L-band bistatic data acquisition from June to December 2022, with the objective of generating high-precision digital elevation models (DEMs) and supporting applications in geology, surveying and mapping, and forest-related studies. Therefore, a systematic evaluation of coherence is necessary, as it facilitates a comprehensive understanding of system performance and data quality, thereby supporting the above applications more effectively. This study first analyzes several error sources that can cause LT-1 coherence loss and provides corresponding data processing workflows, calibration procedures, and compensation strategies. Specifically, the evaluation and analysis include the impacts of co-registration errors, baseline decorrelation, spectral shift, radio frequency interference, ambiguity, limited signal-to-noise ratio, and quantization errors. Subsequently, we focus on decorrelation caused by volume scattering and conduct a sensitivity and application analysis of volume decorrelation with respect to forest and building height, as well as penetration depth in desert and snow-/ice-covered areas. This analysis offers a valuable reference for its application in corresponding specific scenarios. Finally, we present the spatial distribution of coherence derived from all LT-1 bistatic InSAR acquisitions over China, demonstrating the excellent interferometric capability of the LT-1 mission and providing the scientific community with a quality overview of this unique dataset.</div></div>","PeriodicalId":73423,"journal":{"name":"International journal of applied earth observation and geoinformation : ITC journal","volume":"144 ","pages":"Article 104853"},"PeriodicalIF":8.6000,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"First evaluation of the coherence of LuTan-1 bistatic InSAR system\",\"authors\":\"Huacan Hu , Haiqiang Fu , JianJun Zhu , Qijin Han , Aichun Wang , Kefu Wu , Dong Zeng , Yanzhou Xie , Mingxia Zhang , Yang Liu\",\"doi\":\"10.1016/j.jag.2025.104853\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The LuTan-1 (LT-1) mission, consisting of two nearly identical synthetic aperture radar (SAR) satellites, LT-1A and LT-1B, conducted unprecedented L-band bistatic data acquisition from June to December 2022, with the objective of generating high-precision digital elevation models (DEMs) and supporting applications in geology, surveying and mapping, and forest-related studies. Therefore, a systematic evaluation of coherence is necessary, as it facilitates a comprehensive understanding of system performance and data quality, thereby supporting the above applications more effectively. This study first analyzes several error sources that can cause LT-1 coherence loss and provides corresponding data processing workflows, calibration procedures, and compensation strategies. Specifically, the evaluation and analysis include the impacts of co-registration errors, baseline decorrelation, spectral shift, radio frequency interference, ambiguity, limited signal-to-noise ratio, and quantization errors. Subsequently, we focus on decorrelation caused by volume scattering and conduct a sensitivity and application analysis of volume decorrelation with respect to forest and building height, as well as penetration depth in desert and snow-/ice-covered areas. This analysis offers a valuable reference for its application in corresponding specific scenarios. Finally, we present the spatial distribution of coherence derived from all LT-1 bistatic InSAR acquisitions over China, demonstrating the excellent interferometric capability of the LT-1 mission and providing the scientific community with a quality overview of this unique dataset.</div></div>\",\"PeriodicalId\":73423,\"journal\":{\"name\":\"International journal of applied earth observation and geoinformation : ITC journal\",\"volume\":\"144 \",\"pages\":\"Article 104853\"},\"PeriodicalIF\":8.6000,\"publicationDate\":\"2025-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of applied earth observation and geoinformation : ITC journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S156984322500500X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of applied earth observation and geoinformation : ITC journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S156984322500500X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REMOTE SENSING","Score":null,"Total":0}
First evaluation of the coherence of LuTan-1 bistatic InSAR system
The LuTan-1 (LT-1) mission, consisting of two nearly identical synthetic aperture radar (SAR) satellites, LT-1A and LT-1B, conducted unprecedented L-band bistatic data acquisition from June to December 2022, with the objective of generating high-precision digital elevation models (DEMs) and supporting applications in geology, surveying and mapping, and forest-related studies. Therefore, a systematic evaluation of coherence is necessary, as it facilitates a comprehensive understanding of system performance and data quality, thereby supporting the above applications more effectively. This study first analyzes several error sources that can cause LT-1 coherence loss and provides corresponding data processing workflows, calibration procedures, and compensation strategies. Specifically, the evaluation and analysis include the impacts of co-registration errors, baseline decorrelation, spectral shift, radio frequency interference, ambiguity, limited signal-to-noise ratio, and quantization errors. Subsequently, we focus on decorrelation caused by volume scattering and conduct a sensitivity and application analysis of volume decorrelation with respect to forest and building height, as well as penetration depth in desert and snow-/ice-covered areas. This analysis offers a valuable reference for its application in corresponding specific scenarios. Finally, we present the spatial distribution of coherence derived from all LT-1 bistatic InSAR acquisitions over China, demonstrating the excellent interferometric capability of the LT-1 mission and providing the scientific community with a quality overview of this unique dataset.
期刊介绍:
The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.