Building heights and urban canopy parameters for urban modeling

Dataset · Sun Jan 01 04:00:00 EST 2023

DOI:https://doi.org/10.15485/2251665· OSTI ID:2251665

Kamath, Harsh ^[1]; Singh, Manmeet ^[2]; Niyogi, Dev ^[2]

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1. University of Texas at Austin; University of Texas at Austin
2. University of Texas at Austin

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).

• Research Organization: Environmental System Science Data Infrastructure for a Virtual Ecosystem; UT-Global Building heights for Urban Studies (UT-GLOBUS)
• Sponsoring Organization: National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); U.S. DOE > Office of Science > Biological and Environmental Research (BER)
• OSTI ID: 2251665
• Country of Publication: United States
• Language: English

Related Subjects

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