GNSS/MODIS信号紧耦合水汽层析算法
GNSS水汽层析技术凭借高精度、高时空分辨率及全天候监测等优点，已成为探测大气水汽最具潜力的技术之一。目前，融合多源大气遥感数据逐步成为弥补传统层析模型GNSS信号几何缺陷的研究热点。本文利用Terra卫星上的中分辨率成像光谱仪（moderate resolution imaging spectroradiometer，MODIS）提供的观测数据，首先分析了传统体素模型融合MODIS信号的不足；然后提出了基于体素节点模型的GNSS/MODIS信号紧耦合水汽层析算法，该算法将高分辨率MODIS PWV以三维信号的形式引入层析模型中；最后利用2016年7月徐州地区的15幅MODIS影像及同步GNS...
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| Published in | Ce hui xue bao Vol. 50; no. 4; pp. 496 - 508 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | Chinese English |
| Published |
Beijing
Surveying and Mapping Press
01.04.2021
中国矿业大学自然资源部国土环境与灾害监测重点实验室,江苏 徐州 221116 中国矿业大学环境与测绘学院,江苏 徐州 221116%江苏师范大学地理测绘与城乡规划学院,江苏 徐州 221116 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-1595 1001-1595 |
| DOI | 10.11947/j.AGCS.2021.20200222 |
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| Abstract | GNSS水汽层析技术凭借高精度、高时空分辨率及全天候监测等优点，已成为探测大气水汽最具潜力的技术之一。目前，融合多源大气遥感数据逐步成为弥补传统层析模型GNSS信号几何缺陷的研究热点。本文利用Terra卫星上的中分辨率成像光谱仪（moderate resolution imaging spectroradiometer，MODIS）提供的观测数据，首先分析了传统体素模型融合MODIS信号的不足；然后提出了基于体素节点模型的GNSS/MODIS信号紧耦合水汽层析算法，该算法将高分辨率MODIS PWV以三维信号的形式引入层析模型中；最后利用2016年7月徐州地区的15幅MODIS影像及同步GNSS数据对3种模型的层析结果质量进行了评估。试验结果表明：利用本文所提出的紧耦合算法，层析模型的平均有效观测信号数量提高了34.15%，层析结果平均RMSE（root mean square error）值降低了25.10%。此外，以邻近时刻探空站数据作为参考值，发现0~2 km的近地层，紧耦合算法的层析结果明显优于传统算法，这表明融合MODIS观测信号可改善近地层三维水汽场的重构质量。 |
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| AbstractList | P228; GNSS水汽层析技术凭借高精度、高时空分辨率及全天候监测等优点,已成为探测大气水汽最具潜力的技术之一.目前,融合多源大气遥感数据逐步成为弥补传统层析模型GNSS信号几何缺陷的研究热点.本文利用Terra卫星上的中分辨率成像光谱仪(moderate resolution maging spectrorad ometer,MOD S)提供的观测数据,首先分析了传统体素模型融合MODIS信号的不足;然后提出了基于体素节点模型的GNSS/MODIS信号紧耦合水汽层析算法,该算法将高分辨率MODIS PWV以三维信号的形式引入层析模型中;最后利用2016年7月徐州地区的15幅MODIS影像及同步GNSS数据对3种模型的层析结果质量进行了评估.试验结果表明:利用本文所提出的紧耦合算法,层析模型的平均有效观测信号数量提高了34.15％,层析结果平均RMSE(root mean square error)值降低了25.10％.此外,以邻近时刻探空站数据作为参考值,发现0～2 km的近地层,紧耦合算法的层析结果明显优于传统算法,这表明融合MODIS观测信号可改善近地层三维水汽场的重构质量. GNSS水汽层析技术凭借高精度、高时空分辨率及全天候监测等优点，已成为探测大气水汽最具潜力的技术之一。目前，融合多源大气遥感数据逐步成为弥补传统层析模型GNSS信号几何缺陷的研究热点。本文利用Terra卫星上的中分辨率成像光谱仪（moderate resolution imaging spectroradiometer，MODIS）提供的观测数据，首先分析了传统体素模型融合MODIS信号的不足；然后提出了基于体素节点模型的GNSS/MODIS信号紧耦合水汽层析算法，该算法将高分辨率MODIS PWV以三维信号的形式引入层析模型中；最后利用2016年7月徐州地区的15幅MODIS影像及同步GNSS数据对3种模型的层析结果质量进行了评估。试验结果表明：利用本文所提出的紧耦合算法，层析模型的平均有效观测信号数量提高了34.15%，层析结果平均RMSE（root mean square error）值降低了25.10%。此外，以邻近时刻探空站数据作为参考值，发现0~2 km的近地层，紧耦合算法的层析结果明显优于传统算法，这表明融合MODIS观测信号可改善近地层三维水汽场的重构质量。 |
| Author | 张书毕 马朋序 郑南山 刘鑫 张文渊 丁楠 |
| AuthorAffiliation | 中国矿业大学自然资源部国土环境与灾害监测重点实验室,江苏 徐州 221116;中国矿业大学环境与测绘学院,江苏 徐州 221116%江苏师范大学地理测绘与城乡规划学院,江苏 徐州 221116 |
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| Author_FL | DING Nan MA Pengxu ZHANG Shubi ZHANG Wenyuan LIU Xin ZHENG Nanshan |
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| Copyright | Apr 2021. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| Keywords | GNSS水汽层析 体素节点模型 探空站 Kriging插值 MODIS PWV |
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| Snippet | GNSS水汽层析技术凭借高精度、高时空分辨率及全天候监测等优点，已成为探测大气水汽最具潜力的技术之一。目前，融合多源大气遥感数据逐步成为弥补传统层析模型GNSS信号几何... P228; GNSS水汽层析技术凭借高精度、高时空分辨率及全天候监测等优点,已成为探测大气水汽最具潜力的技术之一.目前,融合多源大气遥感数据逐步成为弥补传统层析模型GNSS信号... |
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| SubjectTerms | Algorithms Atmospheric water Global navigation satellite system Image reconstruction Mean square errors MODIS Radiosondes Remote sensing Root-mean-square errors Spectroradiometers Temporal resolution Tomography Water vapor |
| Title | GNSS/MODIS信号紧耦合水汽层析算法 |
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