About: Benjamin Bechtel

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

researcher ORCID id 0000-0001-8802-7934

Attributes	Values
rdf:type	Item
description	wetenschappelijk medewerker (nl) researcher ORCID id 0000-0001-8802-7934 (en)
rdfs:label	Benjamin Bechtel (en) Benjamin Bechtel (es) Benjamin Bechtel (it) Benjamin Bechtel (nl) Benjamin Bechtel (ast)
skos:prefLabel	Benjamin Bechtel (en) Benjamin Bechtel (es) Benjamin Bechtel (it) Benjamin Bechtel (nl) Benjamin Bechtel (ast)
name	Benjamin Bechtel (en) Benjamin Bechtel (es) Benjamin Bechtel (it) Benjamin Bechtel (nl) Benjamin Bechtel (ast)
Scopus author ID	wds:Q57415168-66EE6400-8A88-4395-966C-0E23A7CDDF71
Scopus author ID	37088140000
given name	wds:Q57415168-1DF2FB66-1C6E-4884-8158-F89726882CE4
given name	Benjamin
instance of	wds:Q57415168-F8660212-A700-42F0-932A-92DD1C6353D0
instance of	Homo sapiens
Loop ID	wds:Q57415168-7EEB5F3C-294E-4573-9F9E-43C58810C8D9
Loop ID	941527
occupation	wds:Q57415168-921759A3-6302-48CE-99DC-965A59E70DA6
employer	wds:Q57415168-1A72DA97-EC68-49A0-8B45-D1AFD1F3A055 wds:Q57415168-D13F3C8D-A0A0-493F-9E6E-B6D3835B17F1
sex or gender	wds:Q57415168-F377D6F2-CC0C-4A74-884D-1CB56333084E
ISNI	wds:Q57415168-B3A3DDBD-C47F-4FF4-AA00-B218A7B97EE6
VIAF ID	wds:Q57415168-231A4EFF-1B40-47E9-BFBC-E47D70AA03D2
GND ID	wds:Q57415168-5C327DD2-98D7-4DCF-A3BD-974AEB1225A0
DBLP author ID	wds:Q57415168-1D9CA416-092F-4EA3-90CC-9F7FF2C3E4DC
family name	wds:Q57415168-AFB228FC-9848-454A-9202-DCDFC261CBB9
WorldCat Identities ID (superseded)	wds:Q57415168-83ABB41E-4FC9-4FDE-A6A5-7B069A4D3E23
VIAF ID	http://viaf.org/viaf/260983009
GND ID	https://d-nb.info/gnd/1025159675
DBLP author ID	https://dblp.org/pid/73/9763.rdf
occupation	research fellow
employer	University of Hamburg Ruhr University Bochum
sex or gender	male
ISNI	0000000381340543
VIAF ID	260983009
GND ID	1025159675
DBLP author ID	73/9763
family name	Bechtel
WorldCat Identities ID (superseded)	viaf-260983009
Springer Nature person ID	wds:Q57415168-CC4B6C0D-9460-4AD9-8C5A-B843B9F5E56B
ORCID iD	wds:Q57415168-9F990548-FF63-4036-9B04-7954D8605BCA
Dimensions author ID	wds:Q57415168-BA880F5A-62FD-49CD-9373-D77F38F54B87
ORCID iD	https://orcid.org/0000-0001-8802-7934
Springer Nature person ID	015173223335.83
ORCID iD	0000-0001-8802-7934
Dimensions author ID	015173223335.83
ResearcherID	wds:Q57415168-697A01FD-656F-4005-AE2E-CD820C2A2122
Publons author ID	wds:Q57415168-126d1af7-a89e-44ab-8f66-423c55c2f657
ResearcherID	H-9853-2014
Publons author ID	2512495
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57415168
is author of	Developing a community-based worldwide urban morphology and materials database (WUDAPT) using remote sensing and crowdsourcing for improved urban climate modelling Floristic mapping data as a proxy for the mean urban heat island Linking urban climate classification with an urban energy and water budget model: Multi-site and multi-seasonal evaluation Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities Summer average urban-rural surface temperature differences do not indicate the need for urban heat reduction Generating WUDAPT Level 0 data – Current status of production and evaluation Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest Quality of Crowdsourced Data on Urban Morphology—The Human Influence Experiment (HUMINEX) 2017 IEEE GRSS Data Fusion Contest: Open Data for Global Multimodal Land Use Classification [Technical Committees] WUDAPT, an efficient land use producing data tool for mesoscale models? Integration of urban LCZ in WRF over Madrid Classification of Local Climate Zones Using SAR and Multispectral Data in an Arid Environment Classification of Local Climate Zones Based on Multiple Earth Observation Data Urban climate zone classification using convolutional neural network and ground-level images Towards an urban roughness parameterisation using interferometric SAR data taking the Metropolitan Region of Hamburg as an example TOWARDS CONSISTENT MAPPING OF URBAN STRUCTURES – GLOBAL HUMAN SETTLEMENT LAYER AND LOCAL CLIMATE ZONES Assessing the Capability of a Downscaled Urban Land Surface Temperature Time Series to Reproduce the Spatiotemporal Features of the Original Data Improving the Downscaling of Diurnal Land Surface Temperatures Using the Annual Cycle Parameters as Disaggregation Kernels Identification of typical diurnal patterns for clear-sky climatology of surface urban heat islands Global transferability of local climate zone models Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling A Weighted Accuracy Measure for Land Cover Mapping: Comment on Johnson et al. Local Climate Zone (LCZ) Map Accuracy Assessments Should Account for Land Cover Physical Characteristics that Affect the Local Thermal Environment. Remote Sens. 2019, 11, 2 SUHI analysis using Local Climate Zones—A comparison of 50 cities The Human Influence Experiment (Part 2): Guidelines for Improved Mapping of Local Climate Zones Using a Supervised Classification Mapping Europe into local climate zones Combining expert and crowd-sourced training data to map urban form and functions for the continental US Mapping the Spatiotemporal Dynamics of Europe’s Land Surface Temperatures Beyond the urban mask Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images High-resolution land-use land-cover change data for regional climate modelling applications over Europe – Part 2: Historical and future changes High-resolution land use and land cover dataset for regional climate modelling: a plant functional type map for Europe 2015 The 2017 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Open Data for Global Multimodal Land Use Classification [Technical Committees] A global map of local climate zones to support earth system modelling and urban-scale environmental science
is author of	wds:Q57655780-DE1B6344-0BC2-4315-A39E-3D7E5E5BF9D6 wds:Q101071385-6B616FE1-6882-4E5F-B571-4DD597EB4BFD wds:Q101071425-4B6A1051-F80D-45D9-99FA-1ACEF04125E7 wds:Q114136525-32B7C31C-3C40-4FD1-B74A-68674616614C wds:Q57655743-46C55509-0681-4920-BFB0-0851E78BD138 wds:Q57655769-21C66675-03E2-4991-A974-00C05D159D69 wds:Q57655785-3A865372-D008-429B-8401-FBE81CEBC84C

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