Catalònica: Agregador de continguts digitals de Catalunya > Dades de registre

Està a:  › Dades de registre

Linked Open Data

3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system

Identificadors del recurs

Pérez, G., Escolà, A., Rosell-Polo, J. R., Coma, J., Arasanz, R., Marrero, B., Cabeza, L. F., & Gregorio, E. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment, 206. https://doi.org/10.1016/J.BUILDENV.2021.108320

https://doi.org/10.1016/J.BUILDENV.2021.108320

0360-1323

20213046075

https://repositori.udl.cat/handle/10459.1/467033

Procedència

(Universitat de Lleida. Repositori Obert)

Fitxa

Títol:: 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system
Matèria:: Buildings; Canopy 3D-modelling; Green facades; LiDAR; Vertical greening systems (VGS)
Descripció:: On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given their variable nature, these nature-based systems are difficult to geometrically characterize, and therefore there is a lack of 3D objects that adequately reflect their geometry and analytical properties to be used in design processes based on Building Information Modelling (BIM) technologies. This fact can be a disadvantage, during the building's design phase, of UGIs over traditional grey solutions. Areas of knowledge such as precision agriculture, have developed technologies and methodologies that characterize the geometry of vegetation using point cloud capture. The main aim of this research was to create the 3D characterization of an experimental double-skin green facade, using LiDAR technologies. From the results it could be confirmed that the methodology used was precise and robust, enabling the 3D reconstruction of the green facade's outer envelope. Detailed results were that foliage volume differences in height were linked to plant growth, whereas differences in the horizontal distribution of greenery were related to the influence of the local microclimate and specific plant diseases on the south orientation. From this research, along with complementary previous research, it could be concluded that, generally speaking, with vegetation volumes of 0.2 m3/m2, using Boston Ivy (Parthenocissus Tricuspidata) under Mediterranean climate, reductions in external building surface temperatures of around 13 °C can be obtained and used as analytic parameter in a future 3D-BIM-object.; The authors at GREiA research group would like to thank the Catalan Government for the quality accreditation given to their research group ( 2017 SGR 1537 ). GREiA is a certified agent TECNIO in the category of technology developers from the Government of Catalonia. The authors at GRAP research group would like to thank the Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya (grant 2017 SGR 646 ), the Spanish Ministry of Economy and Competitiveness (project AGL2013-464 48297-C2-2-R ) and the Spanish Ministry of Science, Innovation and Universities (project RTI2018-094222-B-I00 ). This work is partially supported by ICREA under the ICREA Academia programme . The authors also wish to thank Dr. Jaume Arnó for his contribution in the statistical analysis of the results.
Idioma:: English
Autor/Productor:: Pérez, G.; Escolà, A.; Rosell-Polo, J.R.; Coma, J.; Arasanz, R.; Marrero, B.; Cabeza, L.F.; Gregorio, E.
Editor:: Elsevier Ltd
Drets:: info:eu-repo/semantics/openAccess
Data:: 2024-12-05T07:33:05Z; 2021-12-01; 2024-12-05T07:33:01Z
Tipus de recurs:: info:eu-repo/semantics/article

oai_dc

Descarregar XML

<?xml version="1.0" encoding="UTF-8" ?>

< oai_dc:dc schemaLocation =" http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd " >
1. < dc:title > 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system </ dc:title >
2. < dc:creator > Pérez, G. </ dc:creator >
3. < dc:creator > Escolà, A. </ dc:creator >
4. < dc:creator > Rosell-Polo, J.R. </ dc:creator >
5. < dc:creator > Coma, J. </ dc:creator >
6. < dc:creator > Arasanz, R. </ dc:creator >
7. < dc:creator > Marrero, B. </ dc:creator >
8. < dc:creator > Cabeza, L.F. </ dc:creator >
9. < dc:creator > Gregorio, E. </ dc:creator >
10. < dc:subject > Buildings </ dc:subject >
11. < dc:subject > Canopy 3D-modelling </ dc:subject >
12. < dc:subject > Green facades </ dc:subject >
13. < dc:subject > LiDAR </ dc:subject >
14. < dc:subject > Vertical greening systems (VGS) </ dc:subject >
15. < dc:description > On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given their variable nature, these nature-based systems are difficult to geometrically characterize, and therefore there is a lack of 3D objects that adequately reflect their geometry and analytical properties to be used in design processes based on Building Information Modelling (BIM) technologies. This fact can be a disadvantage, during the building's design phase, of UGIs over traditional grey solutions. Areas of knowledge such as precision agriculture, have developed technologies and methodologies that characterize the geometry of vegetation using point cloud capture. The main aim of this research was to create the 3D characterization of an experimental double-skin green facade, using LiDAR technologies. From the results it could be confirmed that the methodology used was precise and robust, enabling the 3D reconstruction of the green facade's outer envelope. Detailed results were that foliage volume differences in height were linked to plant growth, whereas differences in the horizontal distribution of greenery were related to the influence of the local microclimate and specific plant diseases on the south orientation. From this research, along with complementary previous research, it could be concluded that, generally speaking, with vegetation volumes of 0.2 m3/m2, using Boston Ivy (Parthenocissus Tricuspidata) under Mediterranean climate, reductions in external building surface temperatures of around 13 °C can be obtained and used as analytic parameter in a future 3D-BIM-object. </ dc:description >
16. < dc:description > The authors at GREiA research group would like to thank the Catalan Government for the quality accreditation given to their research group ( 2017 SGR 1537 ). GREiA is a certified agent TECNIO in the category of technology developers from the Government of Catalonia. The authors at GRAP research group would like to thank the Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya (grant 2017 SGR 646 ), the Spanish Ministry of Economy and Competitiveness (project AGL2013-464 48297-C2-2-R ) and the Spanish Ministry of Science, Innovation and Universities (project RTI2018-094222-B-I00 ). This work is partially supported by ICREA under the ICREA Academia programme . The authors also wish to thank Dr. Jaume Arnó for his contribution in the statistical analysis of the results. </ dc:description >
17. < dc:date > 2024-12-05T07:33:05Z </ dc:date >
18. < dc:date > 2024-12-05T07:33:05Z </ dc:date >
19. < dc:date > 2021-12-01 </ dc:date >
20. < dc:date > 2024-12-05T07:33:01Z </ dc:date >
21. < dc:type > info:eu-repo/semantics/article </ dc:type >
22. < dc:identifier > Pérez, G., Escolà, A., Rosell-Polo, J. R., Coma, J., Arasanz, R., Marrero, B., Cabeza, L. F., & Gregorio, E. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment, 206. https://doi.org/10.1016/J.BUILDENV.2021.108320 </ dc:identifier >
23. < dc:identifier > https://doi.org/10.1016/J.BUILDENV.2021.108320 </ dc:identifier >
24. < dc:identifier > 0360-1323 </ dc:identifier >
25. < dc:identifier > 20213046075 </ dc:identifier >
26. < dc:identifier > https://repositori.udl.cat/handle/10459.1/467033 </ dc:identifier >
27. < dc:language > eng </ dc:language >
28. < dc:rights > info:eu-repo/semantics/openAccess </ dc:rights >
29. < dc:publisher > Elsevier Ltd </ dc:publisher >
</ oai_dc:dc >

didl

Descarregar XML

<?xml version="1.0" encoding="UTF-8" ?>

< d:DIDL schemaLocation =" urn:mpeg:mpeg21:2002:02-DIDL-NS http://standards.iso.org/ittf/PubliclyAvailableStandards/MPEG-21_schema_files/did/didl.xsd " >
1. < d:DIDLInfo >
  1. < dcterms:created schemaLocation =" http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/dcterms.xsd " > 2024-12-05T07:33:05Z </ dcterms:created >
  </ d:DIDLInfo >
2. < d:Item id =" hdl_10459.1_467033 " >
  1. < d:Descriptor >
    1. < d:Statement mimeType =" application/xml; charset=utf-8 " >
      1. < dii:Identifier schemaLocation =" urn:mpeg:mpeg21:2002:01-DII-NS http://standards.iso.org/ittf/PubliclyAvailableStandards/MPEG-21_schema_files/dii/dii.xsd " > urn:hdl:10459.1/467033 </ dii:Identifier >
      </ d:Statement >
    </ d:Descriptor >
  2. < d:Descriptor >
    1. < d:Statement mimeType =" application/xml; charset=utf-8 " >
      1. < oai_dc:dc schemaLocation =" http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd " >
        
        < dc:title > 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system </ dc:title >
        
        < dc:creator > Pérez, G. </ dc:creator >
        
        < dc:creator > Escolà, A. </ dc:creator >
        
        < dc:creator > Rosell-Polo, J.R. </ dc:creator >
        
        < dc:creator > Coma, J. </ dc:creator >
        
        < dc:creator > Arasanz, R. </ dc:creator >
        
        < dc:creator > Marrero, B. </ dc:creator >
        
        < dc:creator > Cabeza, L.F. </ dc:creator >
        
        < dc:creator > Gregorio, E. </ dc:creator >
        
        < dc:subject > Buildings </ dc:subject >
        
        < dc:subject > Canopy 3D-modelling </ dc:subject >
        
        < dc:subject > Green facades </ dc:subject >
        
        < dc:subject > LiDAR </ dc:subject >
        
        < dc:subject > Vertical greening systems (VGS) </ dc:subject >
        
        < dc:description > On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given their variable nature, these nature-based systems are difficult to geometrically characterize, and therefore there is a lack of 3D objects that adequately reflect their geometry and analytical properties to be used in design processes based on Building Information Modelling (BIM) technologies. This fact can be a disadvantage, during the building's design phase, of UGIs over traditional grey solutions. Areas of knowledge such as precision agriculture, have developed technologies and methodologies that characterize the geometry of vegetation using point cloud capture. The main aim of this research was to create the 3D characterization of an experimental double-skin green facade, using LiDAR technologies. From the results it could be confirmed that the methodology used was precise and robust, enabling the 3D reconstruction of the green facade's outer envelope. Detailed results were that foliage volume differences in height were linked to plant growth, whereas differences in the horizontal distribution of greenery were related to the influence of the local microclimate and specific plant diseases on the south orientation. From this research, along with complementary previous research, it could be concluded that, generally speaking, with vegetation volumes of 0.2 m3/m2, using Boston Ivy (Parthenocissus Tricuspidata) under Mediterranean climate, reductions in external building surface temperatures of around 13 °C can be obtained and used as analytic parameter in a future 3D-BIM-object. </ dc:description >
        
        < dc:date > 2024-12-05T07:33:05Z </ dc:date >
        
        < dc:date > 2024-12-05T07:33:05Z </ dc:date >
        
        < dc:date > 2021-12-01 </ dc:date >
        
        < dc:date > 2024-12-05T07:33:01Z </ dc:date >
        
        < dc:type > info:eu-repo/semantics/article </ dc:type >
        
        < dc:identifier > Pérez, G., Escolà, A., Rosell-Polo, J. R., Coma, J., Arasanz, R., Marrero, B., Cabeza, L. F., & Gregorio, E. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment, 206. https://doi.org/10.1016/J.BUILDENV.2021.108320 </ dc:identifier >
        
        < dc:identifier > https://doi.org/10.1016/J.BUILDENV.2021.108320 </ dc:identifier >
        
        < dc:identifier > 0360-1323 </ dc:identifier >
        
        < dc:identifier > 20213046075 </ dc:identifier >
        
        < dc:identifier > https://repositori.udl.cat/handle/10459.1/467033 </ dc:identifier >
        
        < dc:rights > info:eu-repo/semantics/openAccess </ dc:rights >
        
        < dc:publisher > Elsevier Ltd </ dc:publisher >
        
        </ oai_dc:dc >
      </ d:Statement >
    </ d:Descriptor >
  </ d:Item >
</ d:DIDL >

edm

Descarregar XML

<?xml version="1.0" encoding="UTF-8" ?>

< rdf:RDF schemaLocation =" http://www.w3.org/1999/02/22-rdf-syntax-ns# http://www.europeana.eu/schemas/edm/EDM.xsd " >
1. < edm:ProvidedCHO about =" https://catalonica.bnc.cat/catalonicahub/lod/oai:repositori.udl.cat:10459.1_--_467033#ent0 " >
  1. < dc:creator > Pérez, G. </ dc:creator >
  2. < dc:creator > Escolà, A. </ dc:creator >
  3. < dc:creator > Rosell-Polo, J.R. </ dc:creator >
  4. < dc:creator > Coma, J. </ dc:creator >
  5. < dc:creator > Arasanz, R. </ dc:creator >
  6. < dc:creator > Marrero, B. </ dc:creator >
  7. < dc:creator > Cabeza, L.F. </ dc:creator >
  8. < dc:creator > Gregorio, E. </ dc:creator >
  9. < dc:date > 2024-12-05T07:33:05Z </ dc:date >
  10. < dc:date > 2024-12-05T07:33:05Z </ dc:date >
  11. < dc:date > 2021-12-01 </ dc:date >
  12. < dc:date > 2024-12-05T07:33:01Z </ dc:date >
  13. < dc:description > On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given their variable nature, these nature-based systems are difficult to geometrically characterize, and therefore there is a lack of 3D objects that adequately reflect their geometry and analytical properties to be used in design processes based on Building Information Modelling (BIM) technologies. This fact can be a disadvantage, during the building's design phase, of UGIs over traditional grey solutions. Areas of knowledge such as precision agriculture, have developed technologies and methodologies that characterize the geometry of vegetation using point cloud capture. The main aim of this research was to create the 3D characterization of an experimental double-skin green facade, using LiDAR technologies. From the results it could be confirmed that the methodology used was precise and robust, enabling the 3D reconstruction of the green facade's outer envelope. Detailed results were that foliage volume differences in height were linked to plant growth, whereas differences in the horizontal distribution of greenery were related to the influence of the local microclimate and specific plant diseases on the south orientation. From this research, along with complementary previous research, it could be concluded that, generally speaking, with vegetation volumes of 0.2 m3/m2, using Boston Ivy (Parthenocissus Tricuspidata) under Mediterranean climate, reductions in external building surface temperatures of around 13 °C can be obtained and used as analytic parameter in a future 3D-BIM-object. </ dc:description >
  14. < dc:description > The authors at GREiA research group would like to thank the Catalan Government for the quality accreditation given to their research group ( 2017 SGR 1537 ). GREiA is a certified agent TECNIO in the category of technology developers from the Government of Catalonia. The authors at GRAP research group would like to thank the Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya (grant 2017 SGR 646 ), the Spanish Ministry of Economy and Competitiveness (project AGL2013-464 48297-C2-2-R ) and the Spanish Ministry of Science, Innovation and Universities (project RTI2018-094222-B-I00 ). This work is partially supported by ICREA under the ICREA Academia programme . The authors also wish to thank Dr. Jaume Arnó for his contribution in the statistical analysis of the results. </ dc:description >
  15. < dc:identifier > Pérez, G., Escolà, A., Rosell-Polo, J. R., Coma, J., Arasanz, R., Marrero, B., Cabeza, L. F., & Gregorio, E. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment, 206. https://doi.org/10.1016/J.BUILDENV.2021.108320 </ dc:identifier >
  16. < dc:identifier > https://doi.org/10.1016/J.BUILDENV.2021.108320 </ dc:identifier >
  17. < dc:identifier > 0360-1323 </ dc:identifier >
  18. < dc:identifier > 20213046075 </ dc:identifier >
  19. < dc:identifier > https://repositori.udl.cat/handle/10459.1/467033 </ dc:identifier >
  20. < dc:language > eng </ dc:language >
  21. < dc:publisher > Elsevier Ltd </ dc:publisher >
  22. < dc:rights > info:eu-repo/semantics/openAccess </ dc:rights >
  23. < dc:subject > Buildings </ dc:subject >
  24. < dc:subject > Canopy 3D-modelling </ dc:subject >
  25. < dc:subject > Green facades </ dc:subject >
  26. < dc:subject > LiDAR </ dc:subject >
  27. < dc:subject > Vertical greening systems (VGS) </ dc:subject >
  28. < dc:title > 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system </ dc:title >
  29. < dc:type > info:eu-repo/semantics/article </ dc:type >
  30. < edm:type > TEXT </ edm:type >
  </ edm:ProvidedCHO >
2. < ore:Aggregation about =" https://catalonica.bnc.cat/catalonicahub/lod/oai:repositori.udl.cat:10459.1_--_467033#ent1 " >
  1. < edm:aggregatedCHO resource =" https://catalonica.bnc.cat/catalonicahub/lod/oai:repositori.udl.cat:10459.1_--_467033#ent0 " />
  2. < edm:dataProvider > Universitat de Lleida. Repositori Obert </ edm:dataProvider >
  3. < edm:isShownAt resource =" https://doi.org/10.1016/J.BUILDENV.2021.108320 " />
  4. < edm:provider > Catalònica </ edm:provider >
  5. < edm:rights resource =" http://creativecommons.org/licenses/by-nc-nd/4.0/ " />
  </ ore:Aggregation >
</ rdf:RDF >

etdms

Descarregar XML

<?xml version="1.0" encoding="UTF-8" ?>

< thesis schemaLocation =" http://www.ndltd.org/standards/metadata/etdms/1.0/ http://www.ndltd.org/standards/metadata/etdms/1.0/etdms.xsd " >
1. < title > 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system </ title >
2. < creator > Pérez, G. </ creator >
3. < creator > Escolà, A. </ creator >
4. < creator > Rosell-Polo, J.R. </ creator >
5. < creator > Coma, J. </ creator >
6. < creator > Arasanz, R. </ creator >
7. < creator > Marrero, B. </ creator >
8. < creator > Cabeza, L.F. </ creator >
9. < creator > Gregorio, E. </ creator >
10. < subject > Buildings </ subject >
11. < subject > Canopy 3D-modelling </ subject >
12. < subject > Green facades </ subject >
13. < subject > LiDAR </ subject >
14. < subject > Vertical greening systems (VGS) </ subject >
15. < description > On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given their variable nature, these nature-based systems are difficult to geometrically characterize, and therefore there is a lack of 3D objects that adequately reflect their geometry and analytical properties to be used in design processes based on Building Information Modelling (BIM) technologies. This fact can be a disadvantage, during the building's design phase, of UGIs over traditional grey solutions. Areas of knowledge such as precision agriculture, have developed technologies and methodologies that characterize the geometry of vegetation using point cloud capture. The main aim of this research was to create the 3D characterization of an experimental double-skin green facade, using LiDAR technologies. From the results it could be confirmed that the methodology used was precise and robust, enabling the 3D reconstruction of the green facade's outer envelope. Detailed results were that foliage volume differences in height were linked to plant growth, whereas differences in the horizontal distribution of greenery were related to the influence of the local microclimate and specific plant diseases on the south orientation. From this research, along with complementary previous research, it could be concluded that, generally speaking, with vegetation volumes of 0.2 m3/m2, using Boston Ivy (Parthenocissus Tricuspidata) under Mediterranean climate, reductions in external building surface temperatures of around 13 °C can be obtained and used as analytic parameter in a future 3D-BIM-object. </ description >
16. < date > 2024-12-05 </ date >
17. < date > 2024-12-05 </ date >
18. < date > 2021-12-01 </ date >
19. < date > 2024-12-05 </ date >
20. < type > info:eu-repo/semantics/article </ type >
21. < identifier > Pérez, G., Escolà, A., Rosell-Polo, J. R., Coma, J., Arasanz, R., Marrero, B., Cabeza, L. F., & Gregorio, E. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment, 206. https://doi.org/10.1016/J.BUILDENV.2021.108320 </ identifier >
22. < identifier > https://doi.org/10.1016/J.BUILDENV.2021.108320 </ identifier >
23. < identifier > 0360-1323 </ identifier >
24. < identifier > 20213046075 </ identifier >
25. < identifier > https://repositori.udl.cat/handle/10459.1/467033 </ identifier >
26. < rights > info:eu-repo/semantics/openAccess </ rights >
27. < publisher > Elsevier Ltd </ publisher >
</ thesis >

marc

Descarregar XML

<?xml version="1.0" encoding="UTF-8" ?>

< record schemaLocation =" http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd " >
1. < leader > 00925njm 22002777a 4500 </ leader >
2. < datafield ind1 =" " ind2 =" " tag =" 042 " >
  1. < subfield code =" a " > dc </ subfield >
  </ datafield >
3. < datafield ind1 =" " ind2 =" " tag =" 720 " >
  1. < subfield code =" a " > Pérez, G. </ subfield >
  2. < subfield code =" e " > author </ subfield >
  </ datafield >
4. < datafield ind1 =" " ind2 =" " tag =" 720 " >
  1. < subfield code =" a " > Escolà, A. </ subfield >
  2. < subfield code =" e " > author </ subfield >
  </ datafield >
5. < datafield ind1 =" " ind2 =" " tag =" 720 " >
  1. < subfield code =" a " > Rosell-Polo, J.R. </ subfield >
  2. < subfield code =" e " > author </ subfield >
  </ datafield >
6. < datafield ind1 =" " ind2 =" " tag =" 720 " >
  1. < subfield code =" a " > Coma, J. </ subfield >
  2. < subfield code =" e " > author </ subfield >
  </ datafield >
7. < datafield ind1 =" " ind2 =" " tag =" 720 " >
  1. < subfield code =" a " > Arasanz, R. </ subfield >
  2. < subfield code =" e " > author </ subfield >
  </ datafield >
8. < datafield ind1 =" " ind2 =" " tag =" 720 " >
  1. < subfield code =" a " > Marrero, B. </ subfield >
  2. < subfield code =" e " > author </ subfield >
  </ datafield >
9. < datafield ind1 =" " ind2 =" " tag =" 720 " >
  1. < subfield code =" a " > Cabeza, L.F. </ subfield >
  2. < subfield code =" e " > author </ subfield >
  </ datafield >
10. < datafield ind1 =" " ind2 =" " tag =" 720 " >
  1. < subfield code =" a " > Gregorio, E. </ subfield >
  2. < subfield code =" e " > author </ subfield >
  </ datafield >
11. < datafield ind1 =" " ind2 =" " tag =" 260 " >
  1. < subfield code =" c " > 2021-12-01 </ subfield >
  </ datafield >
12. < datafield ind1 =" " ind2 =" " tag =" 520 " >
  1. < subfield code =" a " > On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given their variable nature, these nature-based systems are difficult to geometrically characterize, and therefore there is a lack of 3D objects that adequately reflect their geometry and analytical properties to be used in design processes based on Building Information Modelling (BIM) technologies. This fact can be a disadvantage, during the building's design phase, of UGIs over traditional grey solutions. Areas of knowledge such as precision agriculture, have developed technologies and methodologies that characterize the geometry of vegetation using point cloud capture. The main aim of this research was to create the 3D characterization of an experimental double-skin green facade, using LiDAR technologies. From the results it could be confirmed that the methodology used was precise and robust, enabling the 3D reconstruction of the green facade's outer envelope. Detailed results were that foliage volume differences in height were linked to plant growth, whereas differences in the horizontal distribution of greenery were related to the influence of the local microclimate and specific plant diseases on the south orientation. From this research, along with complementary previous research, it could be concluded that, generally speaking, with vegetation volumes of 0.2 m3/m2, using Boston Ivy (Parthenocissus Tricuspidata) under Mediterranean climate, reductions in external building surface temperatures of around 13 °C can be obtained and used as analytic parameter in a future 3D-BIM-object. </ subfield >
  </ datafield >
13. < datafield ind1 =" 8 " ind2 =" " tag =" 024 " >
  1. < subfield code =" a " > Pérez, G., Escolà, A., Rosell-Polo, J. R., Coma, J., Arasanz, R., Marrero, B., Cabeza, L. F., & Gregorio, E. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment, 206. https://doi.org/10.1016/J.BUILDENV.2021.108320 </ subfield >
  </ datafield >
14. < datafield ind1 =" 8 " ind2 =" " tag =" 024 " >
  1. < subfield code =" a " > https://doi.org/10.1016/J.BUILDENV.2021.108320 </ subfield >
  </ datafield >
15. < datafield ind1 =" 8 " ind2 =" " tag =" 024 " >
  1. < subfield code =" a " > 0360-1323 </ subfield >
  </ datafield >
16. < datafield ind1 =" 8 " ind2 =" " tag =" 024 " >
  1. < subfield code =" a " > 20213046075 </ subfield >
  </ datafield >
17. < datafield ind1 =" 8 " ind2 =" " tag =" 024 " >
  1. < subfield code =" a " > https://repositori.udl.cat/handle/10459.1/467033 </ subfield >
  </ datafield >
18. < datafield ind1 =" " ind2 =" " tag =" 653 " >
  1. < subfield code =" a " > Buildings </ subfield >
  </ datafield >
19. < datafield ind1 =" " ind2 =" " tag =" 653 " >
  1. < subfield code =" a " > Canopy 3D-modelling </ subfield >
  </ datafield >
20. < datafield ind1 =" " ind2 =" " tag =" 653 " >
  1. < subfield code =" a " > Green facades </ subfield >
  </ datafield >
21. < datafield ind1 =" " ind2 =" " tag =" 653 " >
  1. < subfield code =" a " > LiDAR </ subfield >
  </ datafield >
22. < datafield ind1 =" " ind2 =" " tag =" 653 " >
  1. < subfield code =" a " > Vertical greening systems (VGS) </ subfield >
  </ datafield >
23. < datafield ind1 =" 0 " ind2 =" 0 " tag =" 245 " >
  1. < subfield code =" a " > 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system </ subfield >
  </ datafield >
</ record >

mets

Descarregar XML

<?xml version="1.0" encoding="UTF-8" ?>

< mets ID =" DSpace_ITEM_10459.1-467033 " OBJID =" hdl:10459.1/467033 " PROFILE =" DSpace METS SIP Profile 1.0 " TYPE =" DSpace ITEM " schemaLocation =" http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd " >
1. < metsHdr CREATEDATE =" 2025-02-25T00:06:50Z " >
  1. < agent ROLE =" CUSTODIAN " TYPE =" ORGANIZATION " >
    1. < name > Repositori Obert UdL </ name >
    </ agent >
  </ metsHdr >
2. < dmdSec ID =" DMD_10459.1_467033 " >
  1. < mdWrap MDTYPE =" MODS " >
    1. < xmlData schemaLocation =" http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd " >
      1. < mods:mods schemaLocation =" http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd " >
        
        < mods:name >
        
        < mods:role >
        
        < mods:roleTerm type =" text " > author </ mods:roleTerm >
        
        </ mods:role >
        
        < mods:namePart > Pérez, G. </ mods:namePart >
        
        </ mods:name >
        
        < mods:name >
        
        < mods:role >
        
        < mods:roleTerm type =" text " > author </ mods:roleTerm >
        
        </ mods:role >
        
        < mods:namePart > Escolà, A. </ mods:namePart >
        
        </ mods:name >
        
        < mods:name >
        
        < mods:role >
        
        < mods:roleTerm type =" text " > author </ mods:roleTerm >
        
        </ mods:role >
        
        < mods:namePart > Rosell-Polo, J.R. </ mods:namePart >
        
        </ mods:name >
        
        < mods:name >
        
        < mods:role >
        
        < mods:roleTerm type =" text " > author </ mods:roleTerm >
        
        </ mods:role >
        
        < mods:namePart > Coma, J. </ mods:namePart >
        
        </ mods:name >
        
        < mods:name >
        
        < mods:role >
        
        < mods:roleTerm type =" text " > author </ mods:roleTerm >
        
        </ mods:role >
        
        < mods:namePart > Arasanz, R. </ mods:namePart >
        
        </ mods:name >
        
        < mods:name >
        
        < mods:role >
        
        < mods:roleTerm type =" text " > author </ mods:roleTerm >
        
        </ mods:role >
        
        < mods:namePart > Marrero, B. </ mods:namePart >
        
        </ mods:name >
        
        < mods:name >
        
        < mods:role >
        
        < mods:roleTerm type =" text " > author </ mods:roleTerm >
        
        </ mods:role >
        
        < mods:namePart > Cabeza, L.F. </ mods:namePart >
        
        </ mods:name >
        
        < mods:name >
        
        < mods:role >
        
        < mods:roleTerm type =" text " > author </ mods:roleTerm >
        
        </ mods:role >
        
        < mods:namePart > Gregorio, E. </ mods:namePart >
        
        </ mods:name >
        
        < mods:extension >
        
        < mods:dateAccessioned encoding =" iso8601 " > 2024-12-05T07:33:05Z </ mods:dateAccessioned >
        
        </ mods:extension >
        
        < mods:extension >
        
        < mods:dateAvailable encoding =" iso8601 " > 2024-12-05T07:33:05Z </ mods:dateAvailable >
        
        </ mods:extension >
        
        < mods:originInfo >
        
        < mods:dateIssued encoding =" iso8601 " > 2021-12-01 </ mods:dateIssued >
        
        </ mods:originInfo >
        
        < mods:identifier type =" citation " > Pérez, G., Escolà, A., Rosell-Polo, J. R., Coma, J., Arasanz, R., Marrero, B., Cabeza, L. F., & Gregorio, E. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment, 206. https://doi.org/10.1016/J.BUILDENV.2021.108320 </ mods:identifier >
        
        < mods:identifier type =" doi " > https://doi.org/10.1016/J.BUILDENV.2021.108320 </ mods:identifier >
        
        < mods:identifier type =" issn " > 0360-1323 </ mods:identifier >
        
        < mods:identifier type =" scopus " > 20213046075 </ mods:identifier >
        
        < mods:identifier type =" uri " > https://repositori.udl.cat/handle/10459.1/467033 </ mods:identifier >
        
        < mods:abstract > On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given their variable nature, these nature-based systems are difficult to geometrically characterize, and therefore there is a lack of 3D objects that adequately reflect their geometry and analytical properties to be used in design processes based on Building Information Modelling (BIM) technologies. This fact can be a disadvantage, during the building's design phase, of UGIs over traditional grey solutions. Areas of knowledge such as precision agriculture, have developed technologies and methodologies that characterize the geometry of vegetation using point cloud capture. The main aim of this research was to create the 3D characterization of an experimental double-skin green facade, using LiDAR technologies. From the results it could be confirmed that the methodology used was precise and robust, enabling the 3D reconstruction of the green facade's outer envelope. Detailed results were that foliage volume differences in height were linked to plant growth, whereas differences in the horizontal distribution of greenery were related to the influence of the local microclimate and specific plant diseases on the south orientation. From this research, along with complementary previous research, it could be concluded that, generally speaking, with vegetation volumes of 0.2 m3/m2, using Boston Ivy (Parthenocissus Tricuspidata) under Mediterranean climate, reductions in external building surface temperatures of around 13 °C can be obtained and used as analytic parameter in a future 3D-BIM-object. </ mods:abstract >
        
        < mods:language >
        
        < mods:languageTerm authority =" rfc3066 " />
        
        </ mods:language >
        
        < mods:accessCondition type =" useAndReproduction " />
        
        < mods:subject >
        
        < mods:topic > Buildings </ mods:topic >
        
        </ mods:subject >
        
        < mods:subject >
        
        < mods:topic > Canopy 3D-modelling </ mods:topic >
        
        </ mods:subject >
        
        < mods:subject >
        
        < mods:topic > Green facades </ mods:topic >
        
        </ mods:subject >
        
        < mods:subject >
        
        < mods:topic > LiDAR </ mods:topic >
        
        </ mods:subject >
        
        < mods:subject >
        
        < mods:topic > Vertical greening systems (VGS) </ mods:topic >
        
        </ mods:subject >
        
        < mods:titleInfo >
        
        < mods:title > 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system </ mods:title >
        
        </ mods:titleInfo >
        
        < mods:genre > info:eu-repo/semantics/article </ mods:genre >
        
        </ mods:mods >
      </ xmlData >
    </ mdWrap >
  </ dmdSec >
3. < amdSec ID =" TMD_10459.1_467033 " >
  1. < rightsMD ID =" RIG_10459.1_467033 " >
    1. < mdWrap MDTYPE =" OTHER " MIMETYPE =" text/plain " OTHERMDTYPE =" DSpaceDepositLicense " >
      1. < binData > Q29uY2VkZWl4byBsYSBsbGljw6huY2lhIGkgZXN0aWMgbGVnaXRpbWF0IHBlciBlbnZpYXIgYXF1ZXN0IGZvcm11bGFyaSBpIGFjY2VwdGFyIGxlcyBjb25kaWNpb25zIGRlIGRpcMOyc2l0IGkgZGlmdXNpw7MgYWwgUmVwb3NpdG9yaSBPYmVydCBkZSBsYSBVZEwgZGUgbGVzIGRhZGVzIHF1ZSBzJ2hpIGRlc2NyaXVlbiAocGVycXXDqCBzw7NjIHRpdHVsYXIgZGVscyBkcmV0cyBzb2JyZSBsZXMgZGFkZXMgbyBiw6kgcGVycXXDqCBkaXNwb3NvIGRlIGxhIGNvbXBldMOobmNpYSBvIGRlbHMgcGVybWlzb3MgcGVyIGZlci1obykuIERlY2xhcm8gcXVlIGVsIGRpcMOyc2l0IGkgZGlmdXNpw7MgZGUgbGVzIGRhZGVzIG5vIHZ1bG5lcmEgZHJldHMgZGUgdGVyY2VycyAobmkgZGUgcHJvcGlldGF0IGludGVsZWN0dWFsLCBuaSBpbmR1c3RyaWFsLCBuaSBkZSBwcml2YWNpdGF0LCBuaSBkZSBjYXAgbWVuYSkgZGUgbWFuZXJhIHF1ZSBleG9uZXJvIGEgbGEgVWRMIGRlIHF1YWxzZXZvbCBvYmxpZ2FjacOzIG8gcmVzcG9uc2FiaWxpdGF0IGRhdmFudCBxdWFsc2V2b2wgYWNjacOzIGxlZ2FsIHF1ZSBlcyBwdWd1aSBzdXNjaXRhciBkZXJpdmFkYSBkZWwgY29udGluZ3V0LCBkaXDDsnNpdCBvIGRpZnVzacOzIGRlIGxlcyBkYWRlcy4K </ binData >
      </ mdWrap >
    </ rightsMD >
  </ amdSec >
4. < structMap LABEL =" DSpace Object " TYPE =" LOGICAL " >
  1. < div ADMID =" DMD_10459.1_467033 " TYPE =" DSpace Object Contents " />
  </ structMap >
</ mets >

mods

Descarregar XML

<?xml version="1.0" encoding="UTF-8" ?>

< mods:mods schemaLocation =" http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd " >
1. < mods:name >
  1. < mods:namePart > Pérez, G. </ mods:namePart >
  </ mods:name >
2. < mods:name >
  1. < mods:namePart > Escolà, A. </ mods:namePart >
  </ mods:name >
3. < mods:name >
  1. < mods:namePart > Rosell-Polo, J.R. </ mods:namePart >
  </ mods:name >
4. < mods:name >
  1. < mods:namePart > Coma, J. </ mods:namePart >
  </ mods:name >
5. < mods:name >
  1. < mods:namePart > Arasanz, R. </ mods:namePart >
  </ mods:name >
6. < mods:name >
  1. < mods:namePart > Marrero, B. </ mods:namePart >
  </ mods:name >
7. < mods:name >
  1. < mods:namePart > Cabeza, L.F. </ mods:namePart >
  </ mods:name >
8. < mods:name >
  1. < mods:namePart > Gregorio, E. </ mods:namePart >
  </ mods:name >
9. < mods:extension >
  1. < mods:dateAvailable encoding =" iso8601 " > 2024-12-05T07:33:05Z </ mods:dateAvailable >
  </ mods:extension >
10. < mods:extension >
  1. < mods:dateAccessioned encoding =" iso8601 " > 2024-12-05T07:33:05Z </ mods:dateAccessioned >
  </ mods:extension >
11. < mods:originInfo >
  1. < mods:dateIssued encoding =" iso8601 " > 2021-12-01 </ mods:dateIssued >
  </ mods:originInfo >
12. < mods:identifier type =" citation " > Pérez, G., Escolà, A., Rosell-Polo, J. R., Coma, J., Arasanz, R., Marrero, B., Cabeza, L. F., & Gregorio, E. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment, 206. https://doi.org/10.1016/J.BUILDENV.2021.108320 </ mods:identifier >
13. < mods:identifier type =" doi " > https://doi.org/10.1016/J.BUILDENV.2021.108320 </ mods:identifier >
14. < mods:identifier type =" issn " > 0360-1323 </ mods:identifier >
15. < mods:identifier type =" scopus " > 20213046075 </ mods:identifier >
16. < mods:identifier type =" uri " > https://repositori.udl.cat/handle/10459.1/467033 </ mods:identifier >
17. < mods:abstract > On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given their variable nature, these nature-based systems are difficult to geometrically characterize, and therefore there is a lack of 3D objects that adequately reflect their geometry and analytical properties to be used in design processes based on Building Information Modelling (BIM) technologies. This fact can be a disadvantage, during the building's design phase, of UGIs over traditional grey solutions. Areas of knowledge such as precision agriculture, have developed technologies and methodologies that characterize the geometry of vegetation using point cloud capture. The main aim of this research was to create the 3D characterization of an experimental double-skin green facade, using LiDAR technologies. From the results it could be confirmed that the methodology used was precise and robust, enabling the 3D reconstruction of the green facade's outer envelope. Detailed results were that foliage volume differences in height were linked to plant growth, whereas differences in the horizontal distribution of greenery were related to the influence of the local microclimate and specific plant diseases on the south orientation. From this research, along with complementary previous research, it could be concluded that, generally speaking, with vegetation volumes of 0.2 m3/m2, using Boston Ivy (Parthenocissus Tricuspidata) under Mediterranean climate, reductions in external building surface temperatures of around 13 °C can be obtained and used as analytic parameter in a future 3D-BIM-object. </ mods:abstract >
18. < mods:accessCondition type =" useAndReproduction " > info:eu-repo/semantics/openAccess </ mods:accessCondition >
19. < mods:subject >
  1. < mods:topic > Buildings </ mods:topic >
  </ mods:subject >
20. < mods:subject >
  1. < mods:topic > Canopy 3D-modelling </ mods:topic >
  </ mods:subject >
21. < mods:subject >
  1. < mods:topic > Green facades </ mods:topic >
  </ mods:subject >
22. < mods:subject >
  1. < mods:topic > LiDAR </ mods:topic >
  </ mods:subject >
23. < mods:subject >
  1. < mods:topic > Vertical greening systems (VGS) </ mods:topic >
  </ mods:subject >
24. < mods:titleInfo >
  1. < mods:title > 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system </ mods:title >
  </ mods:titleInfo >
25. < mods:genre > info:eu-repo/semantics/article </ mods:genre >
</ mods:mods >

qdc

Descarregar XML

<?xml version="1.0" encoding="UTF-8" ?>

< qdc:qualifieddc schemaLocation =" http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd " >
1. < dc:title > 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system </ dc:title >
2. < dc:creator > Pérez, G. </ dc:creator >
3. < dc:creator > Escolà, A. </ dc:creator >
4. < dc:creator > Rosell-Polo, J.R. </ dc:creator >
5. < dc:creator > Coma, J. </ dc:creator >
6. < dc:creator > Arasanz, R. </ dc:creator >
7. < dc:creator > Marrero, B. </ dc:creator >
8. < dc:creator > Cabeza, L.F. </ dc:creator >
9. < dc:creator > Gregorio, E. </ dc:creator >
10. < dc:subject > Buildings </ dc:subject >
11. < dc:subject > Canopy 3D-modelling </ dc:subject >
12. < dc:subject > Green facades </ dc:subject >
13. < dc:subject > LiDAR </ dc:subject >
14. < dc:subject > Vertical greening systems (VGS) </ dc:subject >
15. < dcterms:abstract > On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given their variable nature, these nature-based systems are difficult to geometrically characterize, and therefore there is a lack of 3D objects that adequately reflect their geometry and analytical properties to be used in design processes based on Building Information Modelling (BIM) technologies. This fact can be a disadvantage, during the building's design phase, of UGIs over traditional grey solutions. Areas of knowledge such as precision agriculture, have developed technologies and methodologies that characterize the geometry of vegetation using point cloud capture. The main aim of this research was to create the 3D characterization of an experimental double-skin green facade, using LiDAR technologies. From the results it could be confirmed that the methodology used was precise and robust, enabling the 3D reconstruction of the green facade's outer envelope. Detailed results were that foliage volume differences in height were linked to plant growth, whereas differences in the horizontal distribution of greenery were related to the influence of the local microclimate and specific plant diseases on the south orientation. From this research, along with complementary previous research, it could be concluded that, generally speaking, with vegetation volumes of 0.2 m3/m2, using Boston Ivy (Parthenocissus Tricuspidata) under Mediterranean climate, reductions in external building surface temperatures of around 13 °C can be obtained and used as analytic parameter in a future 3D-BIM-object. </ dcterms:abstract >
16. < dcterms:dateAccepted > 2024-12-05T07:33:05Z </ dcterms:dateAccepted >
17. < dcterms:available > 2024-12-05T07:33:05Z </ dcterms:available >
18. < dcterms:created > 2024-12-05T07:33:05Z </ dcterms:created >
19. < dcterms:issued > 2021-12-01 </ dcterms:issued >
20. < dc:type > info:eu-repo/semantics/article </ dc:type >
21. < dc:identifier > Pérez, G., Escolà, A., Rosell-Polo, J. R., Coma, J., Arasanz, R., Marrero, B., Cabeza, L. F., & Gregorio, E. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment, 206. https://doi.org/10.1016/J.BUILDENV.2021.108320 </ dc:identifier >
22. < dc:identifier > https://doi.org/10.1016/J.BUILDENV.2021.108320 </ dc:identifier >
23. < dc:identifier > 0360-1323 </ dc:identifier >
24. < dc:identifier > 20213046075 </ dc:identifier >
25. < dc:identifier > https://repositori.udl.cat/handle/10459.1/467033 </ dc:identifier >
26. < dc:rights > info:eu-repo/semantics/openAccess </ dc:rights >
27. < dc:publisher > Elsevier Ltd </ dc:publisher >
</ qdc:qualifieddc >

rdf

Descarregar XML

<?xml version="1.0" encoding="UTF-8" ?>

< rdf:RDF schemaLocation =" http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd " >
1. < ow:Publication about =" oai:repositori.udl.cat:10459.1/467033 " >
  1. < dc:title > 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system </ dc:title >
  2. < dc:creator > Pérez, G. </ dc:creator >
  3. < dc:creator > Escolà, A. </ dc:creator >
  4. < dc:creator > Rosell-Polo, J.R. </ dc:creator >
  5. < dc:creator > Coma, J. </ dc:creator >
  6. < dc:creator > Arasanz, R. </ dc:creator >
  7. < dc:creator > Marrero, B. </ dc:creator >
  8. < dc:creator > Cabeza, L.F. </ dc:creator >
  9. < dc:creator > Gregorio, E. </ dc:creator >
  10. < dc:subject > Buildings </ dc:subject >
  11. < dc:subject > Canopy 3D-modelling </ dc:subject >
  12. < dc:subject > Green facades </ dc:subject >
  13. < dc:subject > LiDAR </ dc:subject >
  14. < dc:subject > Vertical greening systems (VGS) </ dc:subject >
  15. < dc:description > On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given their variable nature, these nature-based systems are difficult to geometrically characterize, and therefore there is a lack of 3D objects that adequately reflect their geometry and analytical properties to be used in design processes based on Building Information Modelling (BIM) technologies. This fact can be a disadvantage, during the building's design phase, of UGIs over traditional grey solutions. Areas of knowledge such as precision agriculture, have developed technologies and methodologies that characterize the geometry of vegetation using point cloud capture. The main aim of this research was to create the 3D characterization of an experimental double-skin green facade, using LiDAR technologies. From the results it could be confirmed that the methodology used was precise and robust, enabling the 3D reconstruction of the green facade's outer envelope. Detailed results were that foliage volume differences in height were linked to plant growth, whereas differences in the horizontal distribution of greenery were related to the influence of the local microclimate and specific plant diseases on the south orientation. From this research, along with complementary previous research, it could be concluded that, generally speaking, with vegetation volumes of 0.2 m3/m2, using Boston Ivy (Parthenocissus Tricuspidata) under Mediterranean climate, reductions in external building surface temperatures of around 13 °C can be obtained and used as analytic parameter in a future 3D-BIM-object. </ dc:description >
  16. < dc:date > 2024-12-05T07:33:05Z </ dc:date >
  17. < dc:date > 2024-12-05T07:33:05Z </ dc:date >
  18. < dc:date > 2021-12-01 </ dc:date >
  19. < dc:date > 2024-12-05T07:33:01Z </ dc:date >
  20. < dc:type > info:eu-repo/semantics/article </ dc:type >
  21. < dc:identifier > Pérez, G., Escolà, A., Rosell-Polo, J. R., Coma, J., Arasanz, R., Marrero, B., Cabeza, L. F., & Gregorio, E. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment, 206. https://doi.org/10.1016/J.BUILDENV.2021.108320 </ dc:identifier >
  22. < dc:identifier > https://doi.org/10.1016/J.BUILDENV.2021.108320 </ dc:identifier >
  23. < dc:identifier > 0360-1323 </ dc:identifier >
  24. < dc:identifier > 20213046075 </ dc:identifier >
  25. < dc:identifier > https://repositori.udl.cat/handle/10459.1/467033 </ dc:identifier >
  26. < dc:rights > info:eu-repo/semantics/openAccess </ dc:rights >
  27. < dc:publisher > Elsevier Ltd </ dc:publisher >
  </ ow:Publication >
</ rdf:RDF >

xoai

Descarregar XML

<?xml version="1.0" encoding="UTF-8" ?>

< metadata schemaLocation =" http://www.lyncode.com/xoai http://www.lyncode.com/xsd/xoai.xsd " >
1. < element name =" dc " >
  1. < element name =" contributor " >
    1. < element name =" author " >
      1. < element name =" none " >
        
        < field name =" value " > Pérez, G. </ field >
        
        < field name =" value " > Escolà, A. </ field >
        
        < field name =" value " > Rosell-Polo, J.R. </ field >
        
        < field name =" value " > Coma, J. </ field >
        
        < field name =" value " > Arasanz, R. </ field >
        
        < field name =" value " > Marrero, B. </ field >
        
        < field name =" value " > Cabeza, L.F. </ field >
        
        < field name =" value " > Gregorio, E. </ field >
        
        </ element >
      </ element >
    </ element >
  2. < element name =" date " >
    1. < element name =" accessioned " >
      1. < element name =" none " >
        
        < field name =" value " > 2024-12-05T07:33:05Z </ field >
        
        </ element >
      </ element >
    2. < element name =" available " >
      1. < element name =" none " >
        
        < field name =" value " > 2024-12-05T07:33:05Z </ field >
        
        </ element >
      </ element >
    3. < element name =" issued " >
      1. < element name =" none " >
        
        < field name =" value " > 2021-12-01 </ field >
        
        </ element >
      </ element >
    4. < element name =" updated " >
      1. < element name =" none " >
        
        < field name =" value " > 2024-12-05T07:33:01Z </ field >
        
        </ element >
      </ element >
    </ element >
  3. < element name =" description " >
    1. < element name =" abstract " >
      1. < element name =" none " >
        
        < field name =" value " > On the way to more sustainable and resilient urban environments, the incorporation of urban green infrastructure (UGI) systems, such as green roofs and vertical greening systems, must be encouraged. Unfortunately, given their variable nature, these nature-based systems are difficult to geometrically characterize, and therefore there is a lack of 3D objects that adequately reflect their geometry and analytical properties to be used in design processes based on Building Information Modelling (BIM) technologies. This fact can be a disadvantage, during the building's design phase, of UGIs over traditional grey solutions. Areas of knowledge such as precision agriculture, have developed technologies and methodologies that characterize the geometry of vegetation using point cloud capture. The main aim of this research was to create the 3D characterization of an experimental double-skin green facade, using LiDAR technologies. From the results it could be confirmed that the methodology used was precise and robust, enabling the 3D reconstruction of the green facade's outer envelope. Detailed results were that foliage volume differences in height were linked to plant growth, whereas differences in the horizontal distribution of greenery were related to the influence of the local microclimate and specific plant diseases on the south orientation. From this research, along with complementary previous research, it could be concluded that, generally speaking, with vegetation volumes of 0.2 m3/m2, using Boston Ivy (Parthenocissus Tricuspidata) under Mediterranean climate, reductions in external building surface temperatures of around 13 °C can be obtained and used as analytic parameter in a future 3D-BIM-object. </ field >
        
        </ element >
      </ element >
    2. < element name =" sponsorship " >
      1. < element name =" none " >
        
        < field name =" value " > The authors at GREiA research group would like to thank the Catalan Government for the quality accreditation given to their research group ( 2017 SGR 1537 ). GREiA is a certified agent TECNIO in the category of technology developers from the Government of Catalonia. The authors at GRAP research group would like to thank the Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya (grant 2017 SGR 646 ), the Spanish Ministry of Economy and Competitiveness (project AGL2013-464 48297-C2-2-R ) and the Spanish Ministry of Science, Innovation and Universities (project RTI2018-094222-B-I00 ). This work is partially supported by ICREA under the ICREA Academia programme . The authors also wish to thank Dr. Jaume Arnó for his contribution in the statistical analysis of the results. </ field >
        
        </ element >
      </ element >
    </ element >
  4. < element name =" identifier " >
    1. < element name =" citation " >
      1. < element name =" none " >
        
        < field name =" value " > Pérez, G., Escolà, A., Rosell-Polo, J. R., Coma, J., Arasanz, R., Marrero, B., Cabeza, L. F., & Gregorio, E. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment, 206. https://doi.org/10.1016/J.BUILDENV.2021.108320 </ field >
        
        </ element >
      </ element >
    2. < element name =" doi " >
      1. < element name =" none " >
        
        < field name =" value " > https://doi.org/10.1016/J.BUILDENV.2021.108320 </ field >
        
        </ element >
      </ element >
    3. < element name =" issn " >
      1. < element name =" none " >
        
        < field name =" value " > 0360-1323 </ field >
        
        </ element >
      </ element >
    4. < element name =" scopus " >
      1. < element name =" none " >
        
        < field name =" value " > 20213046075 </ field >
        
        </ element >
      </ element >
    5. < element name =" uri " >
      1. < element name =" none " >
        
        < field name =" value " > https://repositori.udl.cat/handle/10459.1/467033 </ field >
        
        </ element >
      </ element >
    </ element >
  5. < element name =" language " >
    1. < element name =" none " >
      1. < field name =" value " > eng </ field >
      </ element >
    </ element >
  6. < element name =" publisher " >
    1. < element name =" none " >
      1. < field name =" value " > Elsevier Ltd </ field >
      </ element >
    </ element >
  7. < element name =" rights " >
    1. < element name =" accessRights " >
      1. < element name =" none " >
        
        < field name =" value " > info:eu-repo/semantics/openAccess </ field >
        
        </ element >
      </ element >
    </ element >
  8. < element name =" subject " >
    1. < element name =" none " >
      1. < field name =" value " > Buildings </ field >
      2. < field name =" value " > Canopy 3D-modelling </ field >
      3. < field name =" value " > Green facades </ field >
      4. < field name =" value " > LiDAR </ field >
      5. < field name =" value " > Vertical greening systems (VGS) </ field >
      </ element >
    </ element >
  9. < element name =" title " >
    1. < element name =" none " >
      1. < field name =" value " > 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system </ field >
      </ element >
    </ element >
  10. < element name =" type " >
    1. < element name =" none " >
      1. < field name =" value " > info:eu-repo/semantics/article </ field >
      </ element >
    </ element >
  </ element >
2. < element name =" bundles " >
  1. < element name =" bundle " >
    1. < field name =" name " > LICENSE </ field >
    2. < element name =" bitstreams " >
      1. < element name =" bitstream " >
        
        < field name =" name " > license.txt </ field >
        
        < field name =" originalName " > license.txt </ field >
        
        < field name =" format " > text/plain; charset=utf-8 </ field >
        
        < field name =" size " > 639 </ field >
        
        < field name =" url " > https://repositori.udl.cat/bitstreams/afcbac54-5c3f-4332-9c2e-5f4be1f2fc4f/download </ field >
        
        < field name =" checksum " > 15ec217096d63e7cd318d42eb888308c </ field >
        
        < field name =" checksumAlgorithm " > MD5 </ field >
        
        < field name =" sid " > 1 </ field >
        
        </ element >
      </ element >
    </ element >
  2. < element name =" bundle " >
    1. < field name =" name " > SWORD </ field >
    2. < element name =" bitstreams " >
      1. < element name =" bitstream " >
        
        < field name =" name " > zip.zip </ field >
        
        < field name =" description " > Original SWORD deposit file </ field >
        
        < field name =" format " > application/octet-stream </ field >
        
        < field name =" size " > 2554 </ field >
        
        < field name =" url " > https://repositori.udl.cat/bitstreams/8cbbf992-ab9e-4dc8-916d-2cf2cc7334ef/download </ field >
        
        < field name =" checksum " > dd2a5d0e460224e159451297ad968718 </ field >
        
        < field name =" checksumAlgorithm " > MD5 </ field >
        
        < field name =" sid " > 2 </ field >
        
        </ element >
      </ element >
    </ element >
  </ element >
3. < element name =" others " >
  1. < field name =" handle " > 10459.1/467033 </ field >
  2. < field name =" identifier " > oai:repositori.udl.cat:10459.1/467033 </ field >
  3. < field name =" lastModifyDate " > 2024-12-05 08:33:08.303 </ field >
  </ element >
4. < element name =" repository " >
  1. < field name =" url " > https://repositori.udl.cat </ field >
  2. < field name =" name " > Repositori Obert UdL </ field >
  3. < field name =" mail " > repositori@udl.cat </ field >
  </ element >
5. < element name =" license " >
  1. < field name =" bin " > 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 </ field >
  </ element >
</ metadata >

Biblioteca de Catalunya Carrer de l'Hospital, 56. 08001 Barcelona Adreça electrònica: catalonica@bnc.cat Tlf.: +34 932 702 300

Repositori OAI