Façade Solar Potential Analysis Using Multisource Point Cloud
An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar ir...
Ausführliche Beschreibung
Autor*in: |
LIANG Fuxun [verfasserIn] YANG Bisheng [verfasserIn] HUANG Ronggang [verfasserIn] DONG Zhen [verfasserIn] LI Jianping [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Chinesisch |
Erschienen: |
2018 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Acta Geodaetica et Cartographica Sinica - Surveying and Mapping Press, 2014, 47(2018), 2, Seite 225-233 |
---|---|
Übergeordnetes Werk: |
volume:47 ; year:2018 ; number:2 ; pages:225-233 |
Links: |
Link aufrufen |
---|
DOI / URN: |
10.11947/j.AGCS.2018.20170521 |
---|
Katalog-ID: |
DOAJ014782103 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ014782103 | ||
003 | DE-627 | ||
005 | 20230310071024.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230226s2018 xx |||||o 00| ||chi c | ||
024 | 7 | |a 10.11947/j.AGCS.2018.20170521 |2 doi | |
035 | |a (DE-627)DOAJ014782103 | ||
035 | |a (DE-599)DOAJ8746d0c43d0d4705a962dfceaeee81a5 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a chi | ||
050 | 0 | |a GA1-1776 | |
100 | 0 | |a LIANG Fuxun |e verfasserin |4 aut | |
245 | 1 | 0 | |a Façade Solar Potential Analysis Using Multisource Point Cloud |
264 | 1 | |c 2018 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows. | ||
650 | 4 | |a terrestrial laser scanning | |
650 | 4 | |a airborne image | |
650 | 4 | |a multisource point cloud | |
650 | 4 | |a data fusion | |
650 | 4 | |a façade | |
650 | 4 | |a solar potential | |
650 | 4 | |a ray-based | |
653 | 0 | |a Mathematical geography. Cartography | |
700 | 0 | |a YANG Bisheng |e verfasserin |4 aut | |
700 | 0 | |a HUANG Ronggang |e verfasserin |4 aut | |
700 | 0 | |a DONG Zhen |e verfasserin |4 aut | |
700 | 0 | |a LI Jianping |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Acta Geodaetica et Cartographica Sinica |d Surveying and Mapping Press, 2014 |g 47(2018), 2, Seite 225-233 |w (DE-627)57517014X |w (DE-600)2445687-1 |x 10011595 |7 nnns |
773 | 1 | 8 | |g volume:47 |g year:2018 |g number:2 |g pages:225-233 |
856 | 4 | 0 | |u https://doi.org/10.11947/j.AGCS.2018.20170521 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/8746d0c43d0d4705a962dfceaeee81a5 |z kostenfrei |
856 | 4 | 0 | |u http://html.rhhz.net/CHXB/html/2018-2-225.htm |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/1001-1595 |y Journal toc |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/1001-1595 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_370 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4335 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4392 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 47 |j 2018 |e 2 |h 225-233 |
author_variant |
l f lf y b yb h r hr d z dz l j lj |
---|---|
matchkey_str |
article:10011595:2018----::adslroetaaayiuiguts |
hierarchy_sort_str |
2018 |
callnumber-subject-code |
GA |
publishDate |
2018 |
allfields |
10.11947/j.AGCS.2018.20170521 doi (DE-627)DOAJ014782103 (DE-599)DOAJ8746d0c43d0d4705a962dfceaeee81a5 DE-627 ger DE-627 rakwb chi GA1-1776 LIANG Fuxun verfasserin aut Façade Solar Potential Analysis Using Multisource Point Cloud 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows. terrestrial laser scanning airborne image multisource point cloud data fusion façade solar potential ray-based Mathematical geography. Cartography YANG Bisheng verfasserin aut HUANG Ronggang verfasserin aut DONG Zhen verfasserin aut LI Jianping verfasserin aut In Acta Geodaetica et Cartographica Sinica Surveying and Mapping Press, 2014 47(2018), 2, Seite 225-233 (DE-627)57517014X (DE-600)2445687-1 10011595 nnns volume:47 year:2018 number:2 pages:225-233 https://doi.org/10.11947/j.AGCS.2018.20170521 kostenfrei https://doaj.org/article/8746d0c43d0d4705a962dfceaeee81a5 kostenfrei http://html.rhhz.net/CHXB/html/2018-2-225.htm kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 47 2018 2 225-233 |
spelling |
10.11947/j.AGCS.2018.20170521 doi (DE-627)DOAJ014782103 (DE-599)DOAJ8746d0c43d0d4705a962dfceaeee81a5 DE-627 ger DE-627 rakwb chi GA1-1776 LIANG Fuxun verfasserin aut Façade Solar Potential Analysis Using Multisource Point Cloud 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows. terrestrial laser scanning airborne image multisource point cloud data fusion façade solar potential ray-based Mathematical geography. Cartography YANG Bisheng verfasserin aut HUANG Ronggang verfasserin aut DONG Zhen verfasserin aut LI Jianping verfasserin aut In Acta Geodaetica et Cartographica Sinica Surveying and Mapping Press, 2014 47(2018), 2, Seite 225-233 (DE-627)57517014X (DE-600)2445687-1 10011595 nnns volume:47 year:2018 number:2 pages:225-233 https://doi.org/10.11947/j.AGCS.2018.20170521 kostenfrei https://doaj.org/article/8746d0c43d0d4705a962dfceaeee81a5 kostenfrei http://html.rhhz.net/CHXB/html/2018-2-225.htm kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 47 2018 2 225-233 |
allfields_unstemmed |
10.11947/j.AGCS.2018.20170521 doi (DE-627)DOAJ014782103 (DE-599)DOAJ8746d0c43d0d4705a962dfceaeee81a5 DE-627 ger DE-627 rakwb chi GA1-1776 LIANG Fuxun verfasserin aut Façade Solar Potential Analysis Using Multisource Point Cloud 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows. terrestrial laser scanning airborne image multisource point cloud data fusion façade solar potential ray-based Mathematical geography. Cartography YANG Bisheng verfasserin aut HUANG Ronggang verfasserin aut DONG Zhen verfasserin aut LI Jianping verfasserin aut In Acta Geodaetica et Cartographica Sinica Surveying and Mapping Press, 2014 47(2018), 2, Seite 225-233 (DE-627)57517014X (DE-600)2445687-1 10011595 nnns volume:47 year:2018 number:2 pages:225-233 https://doi.org/10.11947/j.AGCS.2018.20170521 kostenfrei https://doaj.org/article/8746d0c43d0d4705a962dfceaeee81a5 kostenfrei http://html.rhhz.net/CHXB/html/2018-2-225.htm kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 47 2018 2 225-233 |
allfieldsGer |
10.11947/j.AGCS.2018.20170521 doi (DE-627)DOAJ014782103 (DE-599)DOAJ8746d0c43d0d4705a962dfceaeee81a5 DE-627 ger DE-627 rakwb chi GA1-1776 LIANG Fuxun verfasserin aut Façade Solar Potential Analysis Using Multisource Point Cloud 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows. terrestrial laser scanning airborne image multisource point cloud data fusion façade solar potential ray-based Mathematical geography. Cartography YANG Bisheng verfasserin aut HUANG Ronggang verfasserin aut DONG Zhen verfasserin aut LI Jianping verfasserin aut In Acta Geodaetica et Cartographica Sinica Surveying and Mapping Press, 2014 47(2018), 2, Seite 225-233 (DE-627)57517014X (DE-600)2445687-1 10011595 nnns volume:47 year:2018 number:2 pages:225-233 https://doi.org/10.11947/j.AGCS.2018.20170521 kostenfrei https://doaj.org/article/8746d0c43d0d4705a962dfceaeee81a5 kostenfrei http://html.rhhz.net/CHXB/html/2018-2-225.htm kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 47 2018 2 225-233 |
allfieldsSound |
10.11947/j.AGCS.2018.20170521 doi (DE-627)DOAJ014782103 (DE-599)DOAJ8746d0c43d0d4705a962dfceaeee81a5 DE-627 ger DE-627 rakwb chi GA1-1776 LIANG Fuxun verfasserin aut Façade Solar Potential Analysis Using Multisource Point Cloud 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows. terrestrial laser scanning airborne image multisource point cloud data fusion façade solar potential ray-based Mathematical geography. Cartography YANG Bisheng verfasserin aut HUANG Ronggang verfasserin aut DONG Zhen verfasserin aut LI Jianping verfasserin aut In Acta Geodaetica et Cartographica Sinica Surveying and Mapping Press, 2014 47(2018), 2, Seite 225-233 (DE-627)57517014X (DE-600)2445687-1 10011595 nnns volume:47 year:2018 number:2 pages:225-233 https://doi.org/10.11947/j.AGCS.2018.20170521 kostenfrei https://doaj.org/article/8746d0c43d0d4705a962dfceaeee81a5 kostenfrei http://html.rhhz.net/CHXB/html/2018-2-225.htm kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 47 2018 2 225-233 |
language |
Chinese |
source |
In Acta Geodaetica et Cartographica Sinica 47(2018), 2, Seite 225-233 volume:47 year:2018 number:2 pages:225-233 |
sourceStr |
In Acta Geodaetica et Cartographica Sinica 47(2018), 2, Seite 225-233 volume:47 year:2018 number:2 pages:225-233 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
terrestrial laser scanning airborne image multisource point cloud data fusion façade solar potential ray-based Mathematical geography. Cartography |
isfreeaccess_bool |
true |
container_title |
Acta Geodaetica et Cartographica Sinica |
authorswithroles_txt_mv |
LIANG Fuxun @@aut@@ YANG Bisheng @@aut@@ HUANG Ronggang @@aut@@ DONG Zhen @@aut@@ LI Jianping @@aut@@ |
publishDateDaySort_date |
2018-01-01T00:00:00Z |
hierarchy_top_id |
57517014X |
id |
DOAJ014782103 |
language_de |
chinesisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ014782103</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230310071024.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230226s2018 xx |||||o 00| ||chi c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.11947/j.AGCS.2018.20170521</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ014782103</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ8746d0c43d0d4705a962dfceaeee81a5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">chi</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">GA1-1776</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">LIANG Fuxun</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Façade Solar Potential Analysis Using Multisource Point Cloud</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">terrestrial laser scanning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">airborne image</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">multisource point cloud</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">data fusion</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">fa&#231ade</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">solar potential</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ray-based</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Mathematical geography. Cartography</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">YANG Bisheng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">HUANG Ronggang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">DONG Zhen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">LI Jianping</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Acta Geodaetica et Cartographica Sinica</subfield><subfield code="d">Surveying and Mapping Press, 2014</subfield><subfield code="g">47(2018), 2, Seite 225-233</subfield><subfield code="w">(DE-627)57517014X</subfield><subfield code="w">(DE-600)2445687-1</subfield><subfield code="x">10011595</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:47</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:225-233</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.11947/j.AGCS.2018.20170521</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/8746d0c43d0d4705a962dfceaeee81a5</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://html.rhhz.net/CHXB/html/2018-2-225.htm</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1001-1595</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1001-1595</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4392</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">47</subfield><subfield code="j">2018</subfield><subfield code="e">2</subfield><subfield code="h">225-233</subfield></datafield></record></collection>
|
callnumber-first |
G - Geography, Anthropology, Recreation |
author |
LIANG Fuxun |
spellingShingle |
LIANG Fuxun misc GA1-1776 misc terrestrial laser scanning misc airborne image misc multisource point cloud misc data fusion misc façade misc solar potential misc ray-based misc Mathematical geography. Cartography Façade Solar Potential Analysis Using Multisource Point Cloud |
authorStr |
LIANG Fuxun |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)57517014X |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
GA1-1776 |
illustrated |
Not Illustrated |
issn |
10011595 |
topic_title |
GA1-1776 Façade Solar Potential Analysis Using Multisource Point Cloud terrestrial laser scanning airborne image multisource point cloud data fusion façade solar potential ray-based |
topic |
misc GA1-1776 misc terrestrial laser scanning misc airborne image misc multisource point cloud misc data fusion misc façade misc solar potential misc ray-based misc Mathematical geography. Cartography |
topic_unstemmed |
misc GA1-1776 misc terrestrial laser scanning misc airborne image misc multisource point cloud misc data fusion misc façade misc solar potential misc ray-based misc Mathematical geography. Cartography |
topic_browse |
misc GA1-1776 misc terrestrial laser scanning misc airborne image misc multisource point cloud misc data fusion misc façade misc solar potential misc ray-based misc Mathematical geography. Cartography |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Acta Geodaetica et Cartographica Sinica |
hierarchy_parent_id |
57517014X |
hierarchy_top_title |
Acta Geodaetica et Cartographica Sinica |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)57517014X (DE-600)2445687-1 |
title |
Façade Solar Potential Analysis Using Multisource Point Cloud |
ctrlnum |
(DE-627)DOAJ014782103 (DE-599)DOAJ8746d0c43d0d4705a962dfceaeee81a5 |
title_full |
Façade Solar Potential Analysis Using Multisource Point Cloud |
author_sort |
LIANG Fuxun |
journal |
Acta Geodaetica et Cartographica Sinica |
journalStr |
Acta Geodaetica et Cartographica Sinica |
callnumber-first-code |
G |
lang_code |
chi |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2018 |
contenttype_str_mv |
txt |
container_start_page |
225 |
author_browse |
LIANG Fuxun YANG Bisheng HUANG Ronggang DONG Zhen LI Jianping |
container_volume |
47 |
class |
GA1-1776 |
format_se |
Elektronische Aufsätze |
author-letter |
LIANG Fuxun |
doi_str_mv |
10.11947/j.AGCS.2018.20170521 |
author2-role |
verfasserin |
title_sort |
façade solar potential analysis using multisource point cloud |
callnumber |
GA1-1776 |
title_auth |
Façade Solar Potential Analysis Using Multisource Point Cloud |
abstract |
An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows. |
abstractGer |
An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows. |
abstract_unstemmed |
An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 |
container_issue |
2 |
title_short |
Façade Solar Potential Analysis Using Multisource Point Cloud |
url |
https://doi.org/10.11947/j.AGCS.2018.20170521 https://doaj.org/article/8746d0c43d0d4705a962dfceaeee81a5 http://html.rhhz.net/CHXB/html/2018-2-225.htm https://doaj.org/toc/1001-1595 |
remote_bool |
true |
author2 |
YANG Bisheng HUANG Ronggang DONG Zhen LI Jianping |
author2Str |
YANG Bisheng HUANG Ronggang DONG Zhen LI Jianping |
ppnlink |
57517014X |
callnumber-subject |
GA - Mathematical Geography and Cartography |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.11947/j.AGCS.2018.20170521 |
callnumber-a |
GA1-1776 |
up_date |
2024-07-04T00:27:53.099Z |
_version_ |
1803606161464754176 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ014782103</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230310071024.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230226s2018 xx |||||o 00| ||chi c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.11947/j.AGCS.2018.20170521</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ014782103</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ8746d0c43d0d4705a962dfceaeee81a5</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">chi</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">GA1-1776</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">LIANG Fuxun</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Façade Solar Potential Analysis Using Multisource Point Cloud</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">An efficient method for façade solar potential analysis using multisource point cloud is proposed.Firstly,the terrestrial laser scanning data and the UAV images of study area are fused.Then,a ray-based sunlight assessment algorithm suitable for the fused data is proposed.With the simplified solar irradiance model,the sunlight duration and solar potential on façade can be finally estimated.Two buildings with different orientations and types were selected to test the method.The results show that our method is efficient in solar potential estimation of façade,and can be easily applied for useful applications,like sunlight duration test in architecture,and estimation of solar irradiance on windows.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">terrestrial laser scanning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">airborne image</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">multisource point cloud</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">data fusion</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">fa&#231ade</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">solar potential</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ray-based</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Mathematical geography. Cartography</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">YANG Bisheng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">HUANG Ronggang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">DONG Zhen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">LI Jianping</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Acta Geodaetica et Cartographica Sinica</subfield><subfield code="d">Surveying and Mapping Press, 2014</subfield><subfield code="g">47(2018), 2, Seite 225-233</subfield><subfield code="w">(DE-627)57517014X</subfield><subfield code="w">(DE-600)2445687-1</subfield><subfield code="x">10011595</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:47</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:225-233</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.11947/j.AGCS.2018.20170521</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/8746d0c43d0d4705a962dfceaeee81a5</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://html.rhhz.net/CHXB/html/2018-2-225.htm</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1001-1595</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1001-1595</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4392</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">47</subfield><subfield code="j">2018</subfield><subfield code="e">2</subfield><subfield code="h">225-233</subfield></datafield></record></collection>
|
score |
7.401457 |