Rockfall feature investigation and kinematic simulation based on nap-of-the-object photogrammetry and GIS spatial modeling
Abstract On-site investigation and numerical simulation are the main methods for assessing the risk of rockfall disasters. Unmanned aerial vehicles (UAVs) have been widely used because they can quickly obtain geospatial data. However, in a complex terrain environment, it is difficult to ensure relia...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Li, Xude [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature B.V. 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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| Übergeordnetes Werk: |
Enthalten in: Natural hazards - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988, 118(2023), 1 vom: 12. Mai, Seite 239-262 |
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| Übergeordnetes Werk: |
volume:118 ; year:2023 ; number:1 ; day:12 ; month:05 ; pages:239-262 |
| Links: |
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| DOI / URN: |
10.1007/s11069-023-05999-8 |
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SPR052577538 |
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| 520 | |a Abstract On-site investigation and numerical simulation are the main methods for assessing the risk of rockfall disasters. Unmanned aerial vehicles (UAVs) have been widely used because they can quickly obtain geospatial data. However, in a complex terrain environment, it is difficult to ensure reliable positioning accuracy and resolution of geospatial data collected or constructed at the same flight altitude. Therefore, it is difficult to complete the detailed investigation of rock mass characteristics, and the reliability of the simulation results of rockfall motion characteristics will also be affected. This article summarizes a new image acquisition method and three-dimensional (3D) modeling ideas. Furthermore, in this study a risk assessment is conducted of a slope where a rockfall disaster has occurred. Through this method, the real-world 3D model with a positioning accuracy of less than 5 cm and digital surface model (DSM) data with sub-centimeter resolution of the research area are obtained. Using these data, the rock mass characteristics and the mechanism of disaster formation are analyzed, and the motion characteristics of potential rockfall are numerically simulated in a geographic information system (GIS). After comparing and analyzing the simulated superior trajectory with the on-site terrain, it is found that the trajectory simulated using high-resolution terrain data can better represent the actual movement of falling rocks. The method and process summarized in this paper can provide technical reference for the investigation and evaluation of the risk of rockfall disasters under complex terrain conditions. | ||
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10.1007/s11069-023-05999-8 doi (DE-627)SPR052577538 (SPR)s11069-023-05999-8-e DE-627 ger DE-627 rakwb eng Li, Xude verfasserin (orcid)0000-0001-6007-5109 aut Rockfall feature investigation and kinematic simulation based on nap-of-the-object photogrammetry and GIS spatial modeling 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 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 On-site investigation and numerical simulation are the main methods for assessing the risk of rockfall disasters. Unmanned aerial vehicles (UAVs) have been widely used because they can quickly obtain geospatial data. However, in a complex terrain environment, it is difficult to ensure reliable positioning accuracy and resolution of geospatial data collected or constructed at the same flight altitude. Therefore, it is difficult to complete the detailed investigation of rock mass characteristics, and the reliability of the simulation results of rockfall motion characteristics will also be affected. This article summarizes a new image acquisition method and three-dimensional (3D) modeling ideas. Furthermore, in this study a risk assessment is conducted of a slope where a rockfall disaster has occurred. Through this method, the real-world 3D model with a positioning accuracy of less than 5 cm and digital surface model (DSM) data with sub-centimeter resolution of the research area are obtained. Using these data, the rock mass characteristics and the mechanism of disaster formation are analyzed, and the motion characteristics of potential rockfall are numerically simulated in a geographic information system (GIS). After comparing and analyzing the simulated superior trajectory with the on-site terrain, it is found that the trajectory simulated using high-resolution terrain data can better represent the actual movement of falling rocks. The method and process summarized in this paper can provide technical reference for the investigation and evaluation of the risk of rockfall disasters under complex terrain conditions. UAV (dpeaa)DE-He213 Geospatial data (dpeaa)DE-He213 Rockfall (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Liu, Fu-zhen aut Zhao, Li aut Deng, Na aut Chen, Long aut Pan, Jing-shen aut Tang, Guo-qiang aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 118(2023), 1 vom: 12. Mai, Seite 239-262 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:118 year:2023 number:1 day:12 month:05 pages:239-262 https://dx.doi.org/10.1007/s11069-023-05999-8 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_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_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_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 118 2023 1 12 05 239-262 |
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10.1007/s11069-023-05999-8 doi (DE-627)SPR052577538 (SPR)s11069-023-05999-8-e DE-627 ger DE-627 rakwb eng Li, Xude verfasserin (orcid)0000-0001-6007-5109 aut Rockfall feature investigation and kinematic simulation based on nap-of-the-object photogrammetry and GIS spatial modeling 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 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 On-site investigation and numerical simulation are the main methods for assessing the risk of rockfall disasters. Unmanned aerial vehicles (UAVs) have been widely used because they can quickly obtain geospatial data. However, in a complex terrain environment, it is difficult to ensure reliable positioning accuracy and resolution of geospatial data collected or constructed at the same flight altitude. Therefore, it is difficult to complete the detailed investigation of rock mass characteristics, and the reliability of the simulation results of rockfall motion characteristics will also be affected. This article summarizes a new image acquisition method and three-dimensional (3D) modeling ideas. Furthermore, in this study a risk assessment is conducted of a slope where a rockfall disaster has occurred. Through this method, the real-world 3D model with a positioning accuracy of less than 5 cm and digital surface model (DSM) data with sub-centimeter resolution of the research area are obtained. Using these data, the rock mass characteristics and the mechanism of disaster formation are analyzed, and the motion characteristics of potential rockfall are numerically simulated in a geographic information system (GIS). After comparing and analyzing the simulated superior trajectory with the on-site terrain, it is found that the trajectory simulated using high-resolution terrain data can better represent the actual movement of falling rocks. The method and process summarized in this paper can provide technical reference for the investigation and evaluation of the risk of rockfall disasters under complex terrain conditions. UAV (dpeaa)DE-He213 Geospatial data (dpeaa)DE-He213 Rockfall (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Liu, Fu-zhen aut Zhao, Li aut Deng, Na aut Chen, Long aut Pan, Jing-shen aut Tang, Guo-qiang aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 118(2023), 1 vom: 12. Mai, Seite 239-262 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:118 year:2023 number:1 day:12 month:05 pages:239-262 https://dx.doi.org/10.1007/s11069-023-05999-8 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_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_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_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 118 2023 1 12 05 239-262 |
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10.1007/s11069-023-05999-8 doi (DE-627)SPR052577538 (SPR)s11069-023-05999-8-e DE-627 ger DE-627 rakwb eng Li, Xude verfasserin (orcid)0000-0001-6007-5109 aut Rockfall feature investigation and kinematic simulation based on nap-of-the-object photogrammetry and GIS spatial modeling 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 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 On-site investigation and numerical simulation are the main methods for assessing the risk of rockfall disasters. Unmanned aerial vehicles (UAVs) have been widely used because they can quickly obtain geospatial data. However, in a complex terrain environment, it is difficult to ensure reliable positioning accuracy and resolution of geospatial data collected or constructed at the same flight altitude. Therefore, it is difficult to complete the detailed investigation of rock mass characteristics, and the reliability of the simulation results of rockfall motion characteristics will also be affected. This article summarizes a new image acquisition method and three-dimensional (3D) modeling ideas. Furthermore, in this study a risk assessment is conducted of a slope where a rockfall disaster has occurred. Through this method, the real-world 3D model with a positioning accuracy of less than 5 cm and digital surface model (DSM) data with sub-centimeter resolution of the research area are obtained. Using these data, the rock mass characteristics and the mechanism of disaster formation are analyzed, and the motion characteristics of potential rockfall are numerically simulated in a geographic information system (GIS). After comparing and analyzing the simulated superior trajectory with the on-site terrain, it is found that the trajectory simulated using high-resolution terrain data can better represent the actual movement of falling rocks. The method and process summarized in this paper can provide technical reference for the investigation and evaluation of the risk of rockfall disasters under complex terrain conditions. UAV (dpeaa)DE-He213 Geospatial data (dpeaa)DE-He213 Rockfall (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Liu, Fu-zhen aut Zhao, Li aut Deng, Na aut Chen, Long aut Pan, Jing-shen aut Tang, Guo-qiang aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 118(2023), 1 vom: 12. Mai, Seite 239-262 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:118 year:2023 number:1 day:12 month:05 pages:239-262 https://dx.doi.org/10.1007/s11069-023-05999-8 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_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_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_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 118 2023 1 12 05 239-262 |
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10.1007/s11069-023-05999-8 doi (DE-627)SPR052577538 (SPR)s11069-023-05999-8-e DE-627 ger DE-627 rakwb eng Li, Xude verfasserin (orcid)0000-0001-6007-5109 aut Rockfall feature investigation and kinematic simulation based on nap-of-the-object photogrammetry and GIS spatial modeling 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 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 On-site investigation and numerical simulation are the main methods for assessing the risk of rockfall disasters. Unmanned aerial vehicles (UAVs) have been widely used because they can quickly obtain geospatial data. However, in a complex terrain environment, it is difficult to ensure reliable positioning accuracy and resolution of geospatial data collected or constructed at the same flight altitude. Therefore, it is difficult to complete the detailed investigation of rock mass characteristics, and the reliability of the simulation results of rockfall motion characteristics will also be affected. This article summarizes a new image acquisition method and three-dimensional (3D) modeling ideas. Furthermore, in this study a risk assessment is conducted of a slope where a rockfall disaster has occurred. Through this method, the real-world 3D model with a positioning accuracy of less than 5 cm and digital surface model (DSM) data with sub-centimeter resolution of the research area are obtained. Using these data, the rock mass characteristics and the mechanism of disaster formation are analyzed, and the motion characteristics of potential rockfall are numerically simulated in a geographic information system (GIS). After comparing and analyzing the simulated superior trajectory with the on-site terrain, it is found that the trajectory simulated using high-resolution terrain data can better represent the actual movement of falling rocks. The method and process summarized in this paper can provide technical reference for the investigation and evaluation of the risk of rockfall disasters under complex terrain conditions. UAV (dpeaa)DE-He213 Geospatial data (dpeaa)DE-He213 Rockfall (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Liu, Fu-zhen aut Zhao, Li aut Deng, Na aut Chen, Long aut Pan, Jing-shen aut Tang, Guo-qiang aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 118(2023), 1 vom: 12. Mai, Seite 239-262 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:118 year:2023 number:1 day:12 month:05 pages:239-262 https://dx.doi.org/10.1007/s11069-023-05999-8 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_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_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_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 118 2023 1 12 05 239-262 |
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10.1007/s11069-023-05999-8 doi (DE-627)SPR052577538 (SPR)s11069-023-05999-8-e DE-627 ger DE-627 rakwb eng Li, Xude verfasserin (orcid)0000-0001-6007-5109 aut Rockfall feature investigation and kinematic simulation based on nap-of-the-object photogrammetry and GIS spatial modeling 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 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 On-site investigation and numerical simulation are the main methods for assessing the risk of rockfall disasters. Unmanned aerial vehicles (UAVs) have been widely used because they can quickly obtain geospatial data. However, in a complex terrain environment, it is difficult to ensure reliable positioning accuracy and resolution of geospatial data collected or constructed at the same flight altitude. Therefore, it is difficult to complete the detailed investigation of rock mass characteristics, and the reliability of the simulation results of rockfall motion characteristics will also be affected. This article summarizes a new image acquisition method and three-dimensional (3D) modeling ideas. Furthermore, in this study a risk assessment is conducted of a slope where a rockfall disaster has occurred. Through this method, the real-world 3D model with a positioning accuracy of less than 5 cm and digital surface model (DSM) data with sub-centimeter resolution of the research area are obtained. Using these data, the rock mass characteristics and the mechanism of disaster formation are analyzed, and the motion characteristics of potential rockfall are numerically simulated in a geographic information system (GIS). After comparing and analyzing the simulated superior trajectory with the on-site terrain, it is found that the trajectory simulated using high-resolution terrain data can better represent the actual movement of falling rocks. The method and process summarized in this paper can provide technical reference for the investigation and evaluation of the risk of rockfall disasters under complex terrain conditions. UAV (dpeaa)DE-He213 Geospatial data (dpeaa)DE-He213 Rockfall (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 Liu, Fu-zhen aut Zhao, Li aut Deng, Na aut Chen, Long aut Pan, Jing-shen aut Tang, Guo-qiang aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 118(2023), 1 vom: 12. Mai, Seite 239-262 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:118 year:2023 number:1 day:12 month:05 pages:239-262 https://dx.doi.org/10.1007/s11069-023-05999-8 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_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_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_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 118 2023 1 12 05 239-262 |
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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 On-site investigation and numerical simulation are the main methods for assessing the risk of rockfall disasters. Unmanned aerial vehicles (UAVs) have been widely used because they can quickly obtain geospatial data. However, in a complex terrain environment, it is difficult to ensure reliable positioning accuracy and resolution of geospatial data collected or constructed at the same flight altitude. Therefore, it is difficult to complete the detailed investigation of rock mass characteristics, and the reliability of the simulation results of rockfall motion characteristics will also be affected. This article summarizes a new image acquisition method and three-dimensional (3D) modeling ideas. Furthermore, in this study a risk assessment is conducted of a slope where a rockfall disaster has occurred. Through this method, the real-world 3D model with a positioning accuracy of less than 5 cm and digital surface model (DSM) data with sub-centimeter resolution of the research area are obtained. Using these data, the rock mass characteristics and the mechanism of disaster formation are analyzed, and the motion characteristics of potential rockfall are numerically simulated in a geographic information system (GIS). After comparing and analyzing the simulated superior trajectory with the on-site terrain, it is found that the trajectory simulated using high-resolution terrain data can better represent the actual movement of falling rocks. 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Li, Xude |
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Li, Xude misc UAV misc Geospatial data misc Rockfall misc GIS misc Numerical simulation Rockfall feature investigation and kinematic simulation based on nap-of-the-object photogrammetry and GIS spatial modeling |
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Rockfall feature investigation and kinematic simulation based on nap-of-the-object photogrammetry and GIS spatial modeling UAV (dpeaa)DE-He213 Geospatial data (dpeaa)DE-He213 Rockfall (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Numerical simulation (dpeaa)DE-He213 |
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rockfall feature investigation and kinematic simulation based on nap-of-the-object photogrammetry and gis spatial modeling |
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Rockfall feature investigation and kinematic simulation based on nap-of-the-object photogrammetry and GIS spatial modeling |
| abstract |
Abstract On-site investigation and numerical simulation are the main methods for assessing the risk of rockfall disasters. Unmanned aerial vehicles (UAVs) have been widely used because they can quickly obtain geospatial data. However, in a complex terrain environment, it is difficult to ensure reliable positioning accuracy and resolution of geospatial data collected or constructed at the same flight altitude. Therefore, it is difficult to complete the detailed investigation of rock mass characteristics, and the reliability of the simulation results of rockfall motion characteristics will also be affected. This article summarizes a new image acquisition method and three-dimensional (3D) modeling ideas. Furthermore, in this study a risk assessment is conducted of a slope where a rockfall disaster has occurred. Through this method, the real-world 3D model with a positioning accuracy of less than 5 cm and digital surface model (DSM) data with sub-centimeter resolution of the research area are obtained. Using these data, the rock mass characteristics and the mechanism of disaster formation are analyzed, and the motion characteristics of potential rockfall are numerically simulated in a geographic information system (GIS). After comparing and analyzing the simulated superior trajectory with the on-site terrain, it is found that the trajectory simulated using high-resolution terrain data can better represent the actual movement of falling rocks. The method and process summarized in this paper can provide technical reference for the investigation and evaluation of the risk of rockfall disasters under complex terrain conditions. © The Author(s), under exclusive licence to Springer Nature B.V. 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 On-site investigation and numerical simulation are the main methods for assessing the risk of rockfall disasters. Unmanned aerial vehicles (UAVs) have been widely used because they can quickly obtain geospatial data. However, in a complex terrain environment, it is difficult to ensure reliable positioning accuracy and resolution of geospatial data collected or constructed at the same flight altitude. Therefore, it is difficult to complete the detailed investigation of rock mass characteristics, and the reliability of the simulation results of rockfall motion characteristics will also be affected. This article summarizes a new image acquisition method and three-dimensional (3D) modeling ideas. Furthermore, in this study a risk assessment is conducted of a slope where a rockfall disaster has occurred. Through this method, the real-world 3D model with a positioning accuracy of less than 5 cm and digital surface model (DSM) data with sub-centimeter resolution of the research area are obtained. Using these data, the rock mass characteristics and the mechanism of disaster formation are analyzed, and the motion characteristics of potential rockfall are numerically simulated in a geographic information system (GIS). After comparing and analyzing the simulated superior trajectory with the on-site terrain, it is found that the trajectory simulated using high-resolution terrain data can better represent the actual movement of falling rocks. The method and process summarized in this paper can provide technical reference for the investigation and evaluation of the risk of rockfall disasters under complex terrain conditions. © The Author(s), under exclusive licence to Springer Nature B.V. 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 On-site investigation and numerical simulation are the main methods for assessing the risk of rockfall disasters. Unmanned aerial vehicles (UAVs) have been widely used because they can quickly obtain geospatial data. However, in a complex terrain environment, it is difficult to ensure reliable positioning accuracy and resolution of geospatial data collected or constructed at the same flight altitude. Therefore, it is difficult to complete the detailed investigation of rock mass characteristics, and the reliability of the simulation results of rockfall motion characteristics will also be affected. This article summarizes a new image acquisition method and three-dimensional (3D) modeling ideas. Furthermore, in this study a risk assessment is conducted of a slope where a rockfall disaster has occurred. Through this method, the real-world 3D model with a positioning accuracy of less than 5 cm and digital surface model (DSM) data with sub-centimeter resolution of the research area are obtained. Using these data, the rock mass characteristics and the mechanism of disaster formation are analyzed, and the motion characteristics of potential rockfall are numerically simulated in a geographic information system (GIS). After comparing and analyzing the simulated superior trajectory with the on-site terrain, it is found that the trajectory simulated using high-resolution terrain data can better represent the actual movement of falling rocks. The method and process summarized in this paper can provide technical reference for the investigation and evaluation of the risk of rockfall disasters under complex terrain conditions. © The Author(s), under exclusive licence to Springer Nature B.V. 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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Rockfall feature investigation and kinematic simulation based on nap-of-the-object photogrammetry and GIS spatial modeling |
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Liu, Fu-zhen Zhao, Li Deng, Na Chen, Long Pan, Jing-shen Tang, Guo-qiang |
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10.1007/s11069-023-05999-8 |
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| score |
7.4002314 |