Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud

Abstract The number of visible global navigation satellite system (GNSS) satellites is an important indicator for evaluating positioning accuracy. In urban areas, buildings and trees cause serious satellite signal obstruction and attenuation. Studies have used three-dimensional (3D) city models or 2...
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Autor*in:	Kou, Ruixiong [verfasserIn] Tan, Renchun Wang, Shiyun Yang, Bisheng Dong, Zhen Yang, Shuwen Liang, Fuxun

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	GNSS ALS point cloud 3D urban space Trees influence Spatio-temporal mapping

Anmerkung:	© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: GPS solutions - Berlin : Springer, 1995, 27(2023), 2 vom: 30. Jan.
Übergeordnetes Werk:	volume:27 ; year:2023 ; number:2 ; day:30 ; month:01

Links:	Volltext

DOI / URN:	10.1007/s10291-023-01404-w

Katalog-ID:	SPR049181807

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520			\|a Abstract The number of visible global navigation satellite system (GNSS) satellites is an important indicator for evaluating positioning accuracy. In urban areas, buildings and trees cause serious satellite signal obstruction and attenuation. Studies have used three-dimensional (3D) city models or 2D panoramic imagery to calculate the visibility of satellites in some areas at a certain time. However, the production of accurate 3D models involves heavy manual work and is expensive, while public panoramic imagery mainly spreads over roads and cannot support 3D analysis. Also, the existing studies seldom consider the impact of urban on satellite signals. We thus propose a method that considers the influence of both trees and buildings. A full-path propagation model for GNSS signals is established. Then, a fast visibility analysis of satellites using an airborne laser scanning point cloud is performed. Hence, the number of visible satellites at a specific time can be mapped. In addition, real-time and forecast visibility maps are generated according to the GNSS ephemeris. To verify the effectiveness of the proposed method, we collected field measurement data for qualitative and quantitative evaluation of experiments. The experiments demonstrated that the proposed method provides an easy-to-use and high-precision solution to map the spatio-temporal visibility of satellites in 3D urban space, which serves as an important reference for applications like unmanned aerial vehicles route planning.
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allfields	10.1007/s10291-023-01404-w doi (DE-627)SPR049181807 (SPR)s10291-023-01404-w-e DE-627 ger DE-627 rakwb eng Kou, Ruixiong verfasserin aut Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The number of visible global navigation satellite system (GNSS) satellites is an important indicator for evaluating positioning accuracy. In urban areas, buildings and trees cause serious satellite signal obstruction and attenuation. Studies have used three-dimensional (3D) city models or 2D panoramic imagery to calculate the visibility of satellites in some areas at a certain time. However, the production of accurate 3D models involves heavy manual work and is expensive, while public panoramic imagery mainly spreads over roads and cannot support 3D analysis. Also, the existing studies seldom consider the impact of urban on satellite signals. We thus propose a method that considers the influence of both trees and buildings. A full-path propagation model for GNSS signals is established. Then, a fast visibility analysis of satellites using an airborne laser scanning point cloud is performed. Hence, the number of visible satellites at a specific time can be mapped. In addition, real-time and forecast visibility maps are generated according to the GNSS ephemeris. To verify the effectiveness of the proposed method, we collected field measurement data for qualitative and quantitative evaluation of experiments. The experiments demonstrated that the proposed method provides an easy-to-use and high-precision solution to map the spatio-temporal visibility of satellites in 3D urban space, which serves as an important reference for applications like unmanned aerial vehicles route planning. GNSS (dpeaa)DE-He213 ALS point cloud (dpeaa)DE-He213 3D urban space (dpeaa)DE-He213 Trees influence (dpeaa)DE-He213 Spatio-temporal mapping (dpeaa)DE-He213 Tan, Renchun aut Wang, Shiyun aut Yang, Bisheng aut Dong, Zhen aut Yang, Shuwen aut Liang, Fuxun aut Enthalten in GPS solutions Berlin : Springer, 1995 27(2023), 2 vom: 30. Jan. (DE-627)357170016 (DE-600)2094351-9 1521-1886 nnns volume:27 year:2023 number:2 day:30 month:01 https://dx.doi.org/10.1007/s10291-023-01404-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2023 2 30 01
spelling	10.1007/s10291-023-01404-w doi (DE-627)SPR049181807 (SPR)s10291-023-01404-w-e DE-627 ger DE-627 rakwb eng Kou, Ruixiong verfasserin aut Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The number of visible global navigation satellite system (GNSS) satellites is an important indicator for evaluating positioning accuracy. In urban areas, buildings and trees cause serious satellite signal obstruction and attenuation. Studies have used three-dimensional (3D) city models or 2D panoramic imagery to calculate the visibility of satellites in some areas at a certain time. However, the production of accurate 3D models involves heavy manual work and is expensive, while public panoramic imagery mainly spreads over roads and cannot support 3D analysis. Also, the existing studies seldom consider the impact of urban on satellite signals. We thus propose a method that considers the influence of both trees and buildings. A full-path propagation model for GNSS signals is established. Then, a fast visibility analysis of satellites using an airborne laser scanning point cloud is performed. Hence, the number of visible satellites at a specific time can be mapped. In addition, real-time and forecast visibility maps are generated according to the GNSS ephemeris. To verify the effectiveness of the proposed method, we collected field measurement data for qualitative and quantitative evaluation of experiments. The experiments demonstrated that the proposed method provides an easy-to-use and high-precision solution to map the spatio-temporal visibility of satellites in 3D urban space, which serves as an important reference for applications like unmanned aerial vehicles route planning. GNSS (dpeaa)DE-He213 ALS point cloud (dpeaa)DE-He213 3D urban space (dpeaa)DE-He213 Trees influence (dpeaa)DE-He213 Spatio-temporal mapping (dpeaa)DE-He213 Tan, Renchun aut Wang, Shiyun aut Yang, Bisheng aut Dong, Zhen aut Yang, Shuwen aut Liang, Fuxun aut Enthalten in GPS solutions Berlin : Springer, 1995 27(2023), 2 vom: 30. Jan. (DE-627)357170016 (DE-600)2094351-9 1521-1886 nnns volume:27 year:2023 number:2 day:30 month:01 https://dx.doi.org/10.1007/s10291-023-01404-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2023 2 30 01
allfields_unstemmed	10.1007/s10291-023-01404-w doi (DE-627)SPR049181807 (SPR)s10291-023-01404-w-e DE-627 ger DE-627 rakwb eng Kou, Ruixiong verfasserin aut Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The number of visible global navigation satellite system (GNSS) satellites is an important indicator for evaluating positioning accuracy. In urban areas, buildings and trees cause serious satellite signal obstruction and attenuation. Studies have used three-dimensional (3D) city models or 2D panoramic imagery to calculate the visibility of satellites in some areas at a certain time. However, the production of accurate 3D models involves heavy manual work and is expensive, while public panoramic imagery mainly spreads over roads and cannot support 3D analysis. Also, the existing studies seldom consider the impact of urban on satellite signals. We thus propose a method that considers the influence of both trees and buildings. A full-path propagation model for GNSS signals is established. Then, a fast visibility analysis of satellites using an airborne laser scanning point cloud is performed. Hence, the number of visible satellites at a specific time can be mapped. In addition, real-time and forecast visibility maps are generated according to the GNSS ephemeris. To verify the effectiveness of the proposed method, we collected field measurement data for qualitative and quantitative evaluation of experiments. The experiments demonstrated that the proposed method provides an easy-to-use and high-precision solution to map the spatio-temporal visibility of satellites in 3D urban space, which serves as an important reference for applications like unmanned aerial vehicles route planning. GNSS (dpeaa)DE-He213 ALS point cloud (dpeaa)DE-He213 3D urban space (dpeaa)DE-He213 Trees influence (dpeaa)DE-He213 Spatio-temporal mapping (dpeaa)DE-He213 Tan, Renchun aut Wang, Shiyun aut Yang, Bisheng aut Dong, Zhen aut Yang, Shuwen aut Liang, Fuxun aut Enthalten in GPS solutions Berlin : Springer, 1995 27(2023), 2 vom: 30. Jan. (DE-627)357170016 (DE-600)2094351-9 1521-1886 nnns volume:27 year:2023 number:2 day:30 month:01 https://dx.doi.org/10.1007/s10291-023-01404-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2023 2 30 01
allfieldsGer	10.1007/s10291-023-01404-w doi (DE-627)SPR049181807 (SPR)s10291-023-01404-w-e DE-627 ger DE-627 rakwb eng Kou, Ruixiong verfasserin aut Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The number of visible global navigation satellite system (GNSS) satellites is an important indicator for evaluating positioning accuracy. In urban areas, buildings and trees cause serious satellite signal obstruction and attenuation. Studies have used three-dimensional (3D) city models or 2D panoramic imagery to calculate the visibility of satellites in some areas at a certain time. However, the production of accurate 3D models involves heavy manual work and is expensive, while public panoramic imagery mainly spreads over roads and cannot support 3D analysis. Also, the existing studies seldom consider the impact of urban on satellite signals. We thus propose a method that considers the influence of both trees and buildings. A full-path propagation model for GNSS signals is established. Then, a fast visibility analysis of satellites using an airborne laser scanning point cloud is performed. Hence, the number of visible satellites at a specific time can be mapped. In addition, real-time and forecast visibility maps are generated according to the GNSS ephemeris. To verify the effectiveness of the proposed method, we collected field measurement data for qualitative and quantitative evaluation of experiments. The experiments demonstrated that the proposed method provides an easy-to-use and high-precision solution to map the spatio-temporal visibility of satellites in 3D urban space, which serves as an important reference for applications like unmanned aerial vehicles route planning. GNSS (dpeaa)DE-He213 ALS point cloud (dpeaa)DE-He213 3D urban space (dpeaa)DE-He213 Trees influence (dpeaa)DE-He213 Spatio-temporal mapping (dpeaa)DE-He213 Tan, Renchun aut Wang, Shiyun aut Yang, Bisheng aut Dong, Zhen aut Yang, Shuwen aut Liang, Fuxun aut Enthalten in GPS solutions Berlin : Springer, 1995 27(2023), 2 vom: 30. Jan. (DE-627)357170016 (DE-600)2094351-9 1521-1886 nnns volume:27 year:2023 number:2 day:30 month:01 https://dx.doi.org/10.1007/s10291-023-01404-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2023 2 30 01
allfieldsSound	10.1007/s10291-023-01404-w doi (DE-627)SPR049181807 (SPR)s10291-023-01404-w-e DE-627 ger DE-627 rakwb eng Kou, Ruixiong verfasserin aut Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The number of visible global navigation satellite system (GNSS) satellites is an important indicator for evaluating positioning accuracy. In urban areas, buildings and trees cause serious satellite signal obstruction and attenuation. Studies have used three-dimensional (3D) city models or 2D panoramic imagery to calculate the visibility of satellites in some areas at a certain time. However, the production of accurate 3D models involves heavy manual work and is expensive, while public panoramic imagery mainly spreads over roads and cannot support 3D analysis. Also, the existing studies seldom consider the impact of urban on satellite signals. We thus propose a method that considers the influence of both trees and buildings. A full-path propagation model for GNSS signals is established. Then, a fast visibility analysis of satellites using an airborne laser scanning point cloud is performed. Hence, the number of visible satellites at a specific time can be mapped. In addition, real-time and forecast visibility maps are generated according to the GNSS ephemeris. To verify the effectiveness of the proposed method, we collected field measurement data for qualitative and quantitative evaluation of experiments. The experiments demonstrated that the proposed method provides an easy-to-use and high-precision solution to map the spatio-temporal visibility of satellites in 3D urban space, which serves as an important reference for applications like unmanned aerial vehicles route planning. GNSS (dpeaa)DE-He213 ALS point cloud (dpeaa)DE-He213 3D urban space (dpeaa)DE-He213 Trees influence (dpeaa)DE-He213 Spatio-temporal mapping (dpeaa)DE-He213 Tan, Renchun aut Wang, Shiyun aut Yang, Bisheng aut Dong, Zhen aut Yang, Shuwen aut Liang, Fuxun aut Enthalten in GPS solutions Berlin : Springer, 1995 27(2023), 2 vom: 30. Jan. (DE-627)357170016 (DE-600)2094351-9 1521-1886 nnns volume:27 year:2023 number:2 day:30 month:01 https://dx.doi.org/10.1007/s10291-023-01404-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 27 2023 2 30 01
language	English
source	Enthalten in GPS solutions 27(2023), 2 vom: 30. Jan. volume:27 year:2023 number:2 day:30 month:01
sourceStr	Enthalten in GPS solutions 27(2023), 2 vom: 30. Jan. volume:27 year:2023 number:2 day:30 month:01
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	GNSS ALS point cloud 3D urban space Trees influence Spatio-temporal mapping
isfreeaccess_bool	false
container_title	GPS solutions
authorswithroles_txt_mv	Kou, Ruixiong @@aut@@ Tan, Renchun @@aut@@ Wang, Shiyun @@aut@@ Yang, Bisheng @@aut@@ Dong, Zhen @@aut@@ Yang, Shuwen @@aut@@ Liang, Fuxun @@aut@@
publishDateDaySort_date	2023-01-30T00:00:00Z
hierarchy_top_id	357170016
id	SPR049181807
language_de	englisch
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author	Kou, Ruixiong
spellingShingle	Kou, Ruixiong misc GNSS misc ALS point cloud misc 3D urban space misc Trees influence misc Spatio-temporal mapping Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud
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topic_title	Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud GNSS (dpeaa)DE-He213 ALS point cloud (dpeaa)DE-He213 3D urban space (dpeaa)DE-He213 Trees influence (dpeaa)DE-He213 Spatio-temporal mapping (dpeaa)DE-He213
topic	misc GNSS misc ALS point cloud misc 3D urban space misc Trees influence misc Spatio-temporal mapping
topic_unstemmed	misc GNSS misc ALS point cloud misc 3D urban space misc Trees influence misc Spatio-temporal mapping
topic_browse	misc GNSS misc ALS point cloud misc 3D urban space misc Trees influence misc Spatio-temporal mapping
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title	Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud
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title_full	Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud
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author_browse	Kou, Ruixiong Tan, Renchun Wang, Shiyun Yang, Bisheng Dong, Zhen Yang, Shuwen Liang, Fuxun
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title_sort	satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud
title_auth	Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud
abstract	Abstract The number of visible global navigation satellite system (GNSS) satellites is an important indicator for evaluating positioning accuracy. In urban areas, buildings and trees cause serious satellite signal obstruction and attenuation. Studies have used three-dimensional (3D) city models or 2D panoramic imagery to calculate the visibility of satellites in some areas at a certain time. However, the production of accurate 3D models involves heavy manual work and is expensive, while public panoramic imagery mainly spreads over roads and cannot support 3D analysis. Also, the existing studies seldom consider the impact of urban on satellite signals. We thus propose a method that considers the influence of both trees and buildings. A full-path propagation model for GNSS signals is established. Then, a fast visibility analysis of satellites using an airborne laser scanning point cloud is performed. Hence, the number of visible satellites at a specific time can be mapped. In addition, real-time and forecast visibility maps are generated according to the GNSS ephemeris. To verify the effectiveness of the proposed method, we collected field measurement data for qualitative and quantitative evaluation of experiments. The experiments demonstrated that the proposed method provides an easy-to-use and high-precision solution to map the spatio-temporal visibility of satellites in 3D urban space, which serves as an important reference for applications like unmanned aerial vehicles route planning. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract The number of visible global navigation satellite system (GNSS) satellites is an important indicator for evaluating positioning accuracy. In urban areas, buildings and trees cause serious satellite signal obstruction and attenuation. Studies have used three-dimensional (3D) city models or 2D panoramic imagery to calculate the visibility of satellites in some areas at a certain time. However, the production of accurate 3D models involves heavy manual work and is expensive, while public panoramic imagery mainly spreads over roads and cannot support 3D analysis. Also, the existing studies seldom consider the impact of urban on satellite signals. We thus propose a method that considers the influence of both trees and buildings. A full-path propagation model for GNSS signals is established. Then, a fast visibility analysis of satellites using an airborne laser scanning point cloud is performed. Hence, the number of visible satellites at a specific time can be mapped. In addition, real-time and forecast visibility maps are generated according to the GNSS ephemeris. To verify the effectiveness of the proposed method, we collected field measurement data for qualitative and quantitative evaluation of experiments. The experiments demonstrated that the proposed method provides an easy-to-use and high-precision solution to map the spatio-temporal visibility of satellites in 3D urban space, which serves as an important reference for applications like unmanned aerial vehicles route planning. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract The number of visible global navigation satellite system (GNSS) satellites is an important indicator for evaluating positioning accuracy. In urban areas, buildings and trees cause serious satellite signal obstruction and attenuation. Studies have used three-dimensional (3D) city models or 2D panoramic imagery to calculate the visibility of satellites in some areas at a certain time. However, the production of accurate 3D models involves heavy manual work and is expensive, while public panoramic imagery mainly spreads over roads and cannot support 3D analysis. Also, the existing studies seldom consider the impact of urban on satellite signals. We thus propose a method that considers the influence of both trees and buildings. A full-path propagation model for GNSS signals is established. Then, a fast visibility analysis of satellites using an airborne laser scanning point cloud is performed. Hence, the number of visible satellites at a specific time can be mapped. In addition, real-time and forecast visibility maps are generated according to the GNSS ephemeris. To verify the effectiveness of the proposed method, we collected field measurement data for qualitative and quantitative evaluation of experiments. The experiments demonstrated that the proposed method provides an easy-to-use and high-precision solution to map the spatio-temporal visibility of satellites in 3D urban space, which serves as an important reference for applications like unmanned aerial vehicles route planning. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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title_short	Satellite visibility analysis considering signal attenuation by trees using airborne laser scanning point cloud
url	https://dx.doi.org/10.1007/s10291-023-01404-w
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author2	Tan, Renchun Wang, Shiyun Yang, Bisheng Dong, Zhen Yang, Shuwen Liang, Fuxun
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doi_str	10.1007/s10291-023-01404-w
up_date	2024-07-03T23:42:58.294Z
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The number of visible global navigation satellite system (GNSS) satellites is an important indicator for evaluating positioning accuracy. In urban areas, buildings and trees cause serious satellite signal obstruction and attenuation. Studies have used three-dimensional (3D) city models or 2D panoramic imagery to calculate the visibility of satellites in some areas at a certain time. However, the production of accurate 3D models involves heavy manual work and is expensive, while public panoramic imagery mainly spreads over roads and cannot support 3D analysis. Also, the existing studies seldom consider the impact of urban on satellite signals. We thus propose a method that considers the influence of both trees and buildings. A full-path propagation model for GNSS signals is established. Then, a fast visibility analysis of satellites using an airborne laser scanning point cloud is performed. Hence, the number of visible satellites at a specific time can be mapped. In addition, real-time and forecast visibility maps are generated according to the GNSS ephemeris. To verify the effectiveness of the proposed method, we collected field measurement data for qualitative and quantitative evaluation of experiments. 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