U.S. Department of EnergyOffice of Scientific and Technical Information
Building heights and urban canopy parameters for urban modeling
Abstract
GLObal Building heights for Urban Studies (UT-GLOBUS) is a random forest model based framework that provides a level-of-detail-1 (LoD-1) building height dataset. The primary objective of UT-GLOBUS is not to precisely predict the height and footprint of individual buildings, but rather to offer a functional framework for generating building level information using open-source datasets for modeling applications. Specifically, UT-GLOBUS is tailored to meet the requirements of deriving urban canopy parameters (UCPs) for the multi-layer model within the Weather Research and Forecasting (WRF) model and building heights for the SOLWEIG and SUEWS model. Building-level data is accessible in vector file format (GeoPackage: .gpkg), which can be converted into raster file format (geoTIFF). The vector files employ the Universal Transverse Mercator (UTM) projection. The vector files are compatible with GIS platforms like QGIS and ArcGIS, and can be imported for analysis using programming languages such as Python. We are also providing UCPs required by the multi-layer urban model in the urban WRF in binary file format. Additionally, we provide the urban fractions calculated using ESA world cover dataset (https://esa-worldcover.org/en) for WRF model in binary file format. These binary files can be directly incorporated into the WRF pre-processing system (WPS).
- Authors:
-
;
;
- University of Texas at Austin; University of Texas at Austin
- University of Texas at Austin
- Publication Date:
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; UT-Global Building heights for Urban Studies (UT-GLOBUS)
- Sponsoring Org.:
- National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Building effect parameterization (BEP); Building energy model (BEM); Building footprints; Building heights; EARTH SCIENCE > LAND SURFACE; Urban canopy models; Urban canopy parameters; Urban climate; Urban extreme events; Urban fractions; Urban hazards; Urban heat island; Weather Research and Forecasting (WRF) model
- OSTI Identifier:
- 2251665
- DOI:
- https://doi.org/10.15485/2251665
Citation Formats
Kamath, Harsh, Singh, Manmeet, and Niyogi, Dev. Building heights and urban canopy parameters for urban modeling. United States: N. p., 2022.
Web. doi:10.15485/2251665.
Kamath, Harsh, Singh, Manmeet, & Niyogi, Dev. Building heights and urban canopy parameters for urban modeling. United States. doi:https://doi.org/10.15485/2251665
Kamath, Harsh, Singh, Manmeet, and Niyogi, Dev. 2022.
"Building heights and urban canopy parameters for urban modeling". United States. doi:https://doi.org/10.15485/2251665. https://www.osti.gov/servlets/purl/2251665. Pub date:Sat Dec 31 23:00:00 EST 2022
@article{osti_2251665,
title = {Building heights and urban canopy parameters for urban modeling},
author = {Kamath, Harsh and Singh, Manmeet and Niyogi, Dev},
abstractNote = {GLObal Building heights for Urban Studies (UT-GLOBUS) is a random forest model based framework that provides a level-of-detail-1 (LoD-1) building height dataset. The primary objective of UT-GLOBUS is not to precisely predict the height and footprint of individual buildings, but rather to offer a functional framework for generating building level information using open-source datasets for modeling applications. Specifically, UT-GLOBUS is tailored to meet the requirements of deriving urban canopy parameters (UCPs) for the multi-layer model within the Weather Research and Forecasting (WRF) model and building heights for the SOLWEIG and SUEWS model. Building-level data is accessible in vector file format (GeoPackage: .gpkg), which can be converted into raster file format (geoTIFF). The vector files employ the Universal Transverse Mercator (UTM) projection. The vector files are compatible with GIS platforms like QGIS and ArcGIS, and can be imported for analysis using programming languages such as Python. We are also providing UCPs required by the multi-layer urban model in the urban WRF in binary file format. Additionally, we provide the urban fractions calculated using ESA world cover dataset (https://esa-worldcover.org/en) for WRF model in binary file format. These binary files can be directly incorporated into the WRF pre-processing system (WPS).},
doi = {10.15485/2251665},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Dec 31 23:00:00 EST 2022},
month = {Sat Dec 31 23:00:00 EST 2022}
}