Mostrar el registro sencillo del ítem

dc.date.available
2024-07-23T11:29:28Z  
dc.identifier.citation
Flores Larsen, Silvana Elinor; (2024): Local Climate Zones (LCZ) for Salta City. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/240595  
dc.identifier.uri
http://hdl.handle.net/11336/240595  
dc.description.abstract
This map presents the Local Climate Zones (LCZ) for Salta City. The map was created through the web interface WUDAPT - World Urban Data Access Portal Tools (Demuzere et al., 2021). The classification of the LCZ system comprises 17 zone types at the local scale (100 m to 10.000 m). Each type is unique in its combination of surface structure, cover, and human activity. The LCZ system is designed primarily for urban heat island researchers, but it has derivative uses for city planners, landscape ecologists, and global climate change investigators. The WUDAPT generator uses a random forest model to classify the study area using LCZ classification, producing LCZ maps with a resolution of 100 m. Cite the training data as: Flores-Larsen, Silvana (2024). WUDAPT Level 0 training data for Salta (Argentina, Argentine Republic), submitted to the LCZ Generator. This dataset is licensed under CC BY-NC-SA, and more information is available at https://lcz-generator.rub.de/factsheets/ 92434661b37bf398b27174bce9f31670b6507065/92434661b37bf398b27174bce9f31670b6507065_factsheet.html References: Demuzere, M., Kittner, J., Bechtel, B. (2021). LCZ Generator: a web application to create Local Climate Zone maps. Frontiers in Environmental Science 9:637455. https://doi.org/10.3389/fenvs.2021.637455  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.title
Local Climate Zones (LCZ) for Salta City  
dc.type
dataset  
dc.date.updated
2024-07-23T11:01:17Z  
dc.description.fil
Fil: Flores Larsen, Silvana Elinor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina  
dc.datacite.PublicationYear
2024  
dc.datacite.Creator
Flores Larsen, Silvana Elinor  
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional  
dc.datacite.publisher
Consejo Nacional de Investigaciones Científicas y Técnicas  
dc.datacite.subject
Otras Ingenierías y Tecnologías  
dc.datacite.subject
Otras Ingenierías y Tecnologías  
dc.datacite.subject
INGENIERÍAS Y TECNOLOGÍAS  
dc.datacite.date
16/07/2024  
dc.datacite.DateType
Creado  
dc.datacite.language
eng  
dc.datacite.AlternateIdentifierType
info:eu-repo/semantics/altIdentifier/url/https://lcz-generator.rub.de/factsheets/92434661b37bf398b27174bce9f31670b6507065/92434661b37bf398b27174bce9f31670b6507065_factsheet.html  
dc.datacite.version
1.0  
dc.datacite.description
Training zones for different LCZ classes in the study area were first created in Google Earth Pro: Number of Training Areas: LCZ3: 7 areas LCZ6: 6 areas LCZ9: 5 areas LCZA: 5 areas LCZD: 5 areas The archive contais the following: ./ _factsheet.html: summary of the results, rendered as a webpage. .tif: LCZ map, containing three bands: lcz: pixel-based LCZ map (100 m resolution) lczFilter: gaussian filtered LCZ map (100 m resolution) classProbability: probability map, # times the mode LCZ was classified (in %) .kmz: LCZ map with applied color map, to be opened directly in Google Earth qgis_lcz_colormap.txt / arcgis_lcz_colormap.clr: colormaps to be used in QGIS / ArcGIS. data/ .kml: original training area (TA) file (converted to .kml in case of .kmz) _auto_qc_polygon.shp / _auto_qc_point.shp: shapefiles containing suspicious TAs _TA_statistics.csv: table with summary TA characteristics, per LCZ class. _cm_average_formatted.csv: formatted confusion matrix, averaged over all bootstraps figures/ ta_freq.png: figure with training area frequencies lcz_map.jpg: figure with final filtered lcz map lcz_oa.jpg: boxplot figure with all accuracies factsheet_files/ Supporting files to display the factsheet webpage.  
dc.datacite.DescriptionType
Información Técnica  
dc.subject.keyword
Local Climate Zones  
dc.subject.keyword
Urban microclimate  
dc.subject.keyword
Salta City urban morphology  
dc.subject.keyword
Heat island  
dc.datacite.resourceTypeGeneral
dataset  
dc.conicet.datoinvestigacionid
19231  
dc.datacite.geolocation
Gran Salta  
dc.datacite.formatedDate
2024