Contributing to WUDAPT: A Local Climate Zone Classification of Two Cities in Ukraine

Danylo, O., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Bechtel, B., Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2016). Contributing to WUDAPT: A Local Climate Zone Classification of Two Cities in Ukraine. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS) 9 (5) 1841-1853. 10.1109/JSTARS.2016.2539977.

[thumbnail of See_JSTARS2539977.pdf]
Preview
Text
See_JSTARS2539977.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (5MB) | Preview
Project: Harnessing the power of crowdsourcing to improve land cover and land-use information (CROWDLAND, FP7 617754)

Abstract

Local climate zones (LCZs) divide the urban landscape into homogeneous types based on urban structure (i.e.,morphology of streets and buildings), urban cover (i.e., permeability of surfaces), construction materials, and human activities (i.e., anthropogenic heat). This classification scheme represents a standardized way of capturing the basic urban form of cities and is currently being applied globally as part of the world urban database and portal tools (WUDAPT) initiative. This paper assesses the transferability of the LCZ concept to two Ukrainian cities, i.e., Kyiv and Lviv, which differ in urban form and topography, and considers three ways to validate and verify this classification
scheme. An accuracy of 64% was achieved for Kyiv using an independent validation dataset while a comparison of the LCZ maps with the GlobeLand30 land cover map resulted in a match that was greater than 75% for both cities. There was also good correspondence between the urban classes in the LCZ maps and the urban points of interest in OpenStreetMap (OSM). However, further research is still required to produce a standardized validation protocol that could be used on a regular basis by contributors to WUDAPT to help produce more accurate LCZ maps in the future.

Item Type: Article
Uncontrolled Keywords: GlobeLand30, Landsat, local climate zones(LCZs), OpenStreetMap(OSM, remote sensing, Ukraine, urban areas
Research Programs: Ecosystems Services and Management (ESM)
Depositing User: Michaela Rossini
Date Deposited: 31 Mar 2016 12:59
Last Modified: 19 Oct 2022 05:00
URI: https://pure.iiasa.ac.at/12381

Actions (login required)

View Item View Item