eprintid: 14601
rev_number: 11
eprint_status: archive
userid: 5
dir: disk0/00/01/46/01
datestamp: 2017-05-16 14:40:35
lastmod: 2021-08-27 17:28:59
status_changed: 2017-05-16 14:40:35
type: book_section
metadata_visibility: show
item_issues_count: 2
creators_name: Lopes, P.
creators_name: Fonte, C.
creators_name: See, L.
creators_name: Bechtel, B.
creators_id: 8571
creators_orcid: 0000-0002-2665-7065
title: Using OpenStreetMap data to assist in the creation of LCZ maps
ispublished: pub
divisions: prog_esm
keywords: OpenStreetMap, Volunteered Geographic Information, Local Climate Zones, World Urban Database and Access Portal Tools (WUDAPT)
note: Publisher: IEEE
abstract: OpenStreetMap (OSM) is a well-known international collaborative project that provides free geographic data from and to citizens. The available data are so detailed and complete in some regions that its use has already been tested for creating land use and land cover maps. In this project, the data available in OSM are used to extract information about the Local Climate Zones (LCZs) proposed by Stewart and Oke (2012), in order to assist in the creation of LCZ maps. A methodology was developed that was applied to the region of Coimbra city (Portugal). First results indicate that valuable information can be obtained, particularly for the natural LCZ classes. However, the data available in OSM is shown to have less potential in differentiating between the urban LCZ classes. Future work will concentrate on the development of OSM data conversion into the urban LCZ classes and on the development of rules to combine the data extracted from OSM with the data obtained from remote sensing images.
date: 2017-05
date_type: published
publisher: IEEE
id_number: 10.1109/JURSE.2017.7924630
creators_browse_id: 276
full_text_status: none
pres_type: paper
pagerange: 1-4
event_title: Joint Urban Remote Sensing Event (JURSE), 2017
event_location: Dubai, United Arab Emirates
event_dates: 6-8 March 2017
event_type: conference
refereed: TRUE
book_title: 2017 Joint Urban Remote Sensing Event (JURSE)
coversheets_dirty: FALSE
fp7_project: no
fp7_type: info:eu-repo/semantics/bookPart
citation:   Lopes, P., Fonte, C., See, L. <https://pure.iiasa.ac.at/view/iiasa/276.html> ORCID: https://orcid.org/0000-0002-2665-7065 <https://orcid.org/0000-0002-2665-7065>, & Bechtel, B.  (2017).  Using OpenStreetMap data to assist in the creation of LCZ maps.    In:  2017 Joint Urban Remote Sensing Event (JURSE).  pp. 1-4 IEEE.  10.1109/JURSE.2017.7924630 <https://doi.org/10.1109/JURSE.2017.7924630>.