OpenStreetMap data assessment for extraction of urban land cover and geometry parameters required by urban climate modeling

Samsonov, T.E.; Konstantinov, P.I.

Авторы: Samsonov T.E., Konstantinov P.I.
Сборник: Extended Abstract Proceedings of the GIScience 2014, September 23-26, Vienna, Austria
Серия: GeoInfo Series
Том: 40
Год издания: 2014
Место издания: Hochschülerschaft, TU Vienna Vienna, Austria
Первая страница: 395
Последняя страница: 399
DOI: 10.13140/RG.2.1.3556.7128
Аннотация: More than a half of world’s population lives in cities now, and the urban/rural ratio is increasing (World Urbanization… 2014), which deserves increased attention to heavily populated areas. Contemporary meteorological models assimilate information about urban conditions for implementation of scenarios of physical interaction between atmosphere boundary layer and underlying surface (Kusaka et al. 2001). This allows more precise weather and climate predictions (Konstantinov et al. 2014). During the last two decades significant progress has been made in description of urban environment for urban climate modeling. Required parameters are extracted from satellite imagery and spatial datasets such as city vector geodatabases (Lindberg 2007). However, expensiveness and unavailability of timely data often limits the possibility of urban climate studies. Recently, volunteered geographic information received great attention as a source of information about land cover (Comber et al. 2013). Our research pioneers in the assessment of OpenStreetMap data for possibility of extraction of main parameters of land cover and urban geometry needed for urban climate research.
Добавил в систему: Самсонов Тимофей Евгеньевич

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OpenStreetMap data assessment for extraction of urban land cover and geometry parameters required by urban climate modelingстатья Электронная публикация

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