Improving the local climate zone classification with building height, imperviousness, and machine learning for urban models

Kwun Yip Fung; Zong Liang Yang; Dev Niyogi

doi:10.1007/s43762-022-00046-x

Improving the local climate zone classification with building height, imperviousness, and machine learning for urban models

Kwun Yip Fung
, Zong Liang Yang
, Dev Niyogi

University of Texas at Austin

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	16
Journal	Computational Urban Science
Volume	2
Issue number	1
DOIs	https://doi.org/10.1007/s43762-022-00046-x
State	Published - Dec 2022
Externally published	Yes

ASJC Scopus Subject Areas

Urban Studies
Artificial Intelligence
Computer Science Applications
Environmental Science (miscellaneous)

Keywords

Deep Learning
Local Climate Zone
Machine Learning
Urban Classification

Access to Document

10.1007/s43762-022-00046-x

Cite this

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title = "Improving the local climate zone classification with building height, imperviousness, and machine learning for urban models",

keywords = "Deep Learning, Local Climate Zone, Machine Learning, Urban Classification",

author = "Fung, \{Kwun Yip\} and Yang, \{Zong Liang\} and Dev Niyogi",

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year = "2022",

month = dec,

doi = "10.1007/s43762-022-00046-x",

language = "English",

volume = "2",

journal = "Computational Urban Science",

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T1 - Improving the local climate zone classification with building height, imperviousness, and machine learning for urban models

AU - Fung, Kwun Yip

AU - Yang, Zong Liang

AU - Niyogi, Dev

PY - 2022/12

Y1 - 2022/12

KW - Deep Learning

KW - Local Climate Zone

KW - Machine Learning

KW - Urban Classification

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UR - https://www.scopus.com/pages/publications/85146195628#tab=citedBy

U2 - 10.1007/s43762-022-00046-x

DO - 10.1007/s43762-022-00046-x

M3 - Article

AN - SCOPUS:85146195628

SN - 2730-6852

VL - 2

JO - Computational Urban Science

JF - Computational Urban Science

IS - 1

M1 - 16

ER -

Improving the local climate zone classification with building height, imperviousness, and machine learning for urban models

ASJC Scopus Subject Areas

Keywords

Access to Document

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