Los Angeles Building Morphology Parameters

Sweet-Breu, Levi; Allen-Dumas, Melissa

doi:10.13139/ORNLNCCS/1854852

Title: Los Angeles Building Morphology Parameters

Dataset
Other Related Research

Abstract

132 urban parameters in csv format for 3200m x 3200m tiles of Los Angeles

Authors:

Sweet-Breu, Levi; Allen-Dumas, Melissa

ORNL-OLCF

Publication Date:: Thu Mar 17 04:00:00 UTC 2022

DOE Contract Number:: AC05-00OR22725

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: Office of Science (SC)

OSTI Identifier:: 1854852

DOI:: https://doi.org/10.13139/ORNLNCCS/1854852

Citation Formats


                    Sweet-Breu, Levi, and Allen-Dumas, Melissa. Los Angeles Building Morphology Parameters.  United States: N. p., 2022. 
        Web.  doi:10.13139/ORNLNCCS/1854852.

Copy to clipboard


                    Sweet-Breu, Levi, & Allen-Dumas, Melissa. Los Angeles Building Morphology Parameters.  United States.  doi:https://doi.org/10.13139/ORNLNCCS/1854852

Copy to clipboard


                    Sweet-Breu, Levi, and Allen-Dumas, Melissa. 2022.  
"Los Angeles Building Morphology Parameters".  United States.  doi:https://doi.org/10.13139/ORNLNCCS/1854852.  https://www.osti.gov/servlets/purl/1854852. Pub date:Thu Mar 17 04:00:00 UTC 2022

Copy to clipboard


                    
@article{osti_1854852,

  title        = {Los Angeles Building Morphology Parameters},

  author       = {Sweet-Breu, Levi and Allen-Dumas, Melissa},

  abstractNote = {132 urban parameters in csv format for 3200m x 3200m tiles of Los Angeles},

  doi          = {10.13139/ORNLNCCS/1854852},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Mar 17 04:00:00 UTC 2022},

  month        = {Thu Mar 17 04:00:00 UTC 2022}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.13139/ORNLNCCS/1854852

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Los Angeles Building Morphology Parameters

Dataset Sweet-Breu, Levi ; Allen-Dumas, Melissa

132 urban parameters in csv format for 3200m x 3200m tiles of Los Angeles
Projected Urban Morphology of the Los Angeles Area by the Year 2100

Dataset Pandey, Bhartendu ; Dumas, Melissa

This data set was generated from dual generative adversarial networks that generates building footprints fraction and average building heights using land cover data as the primary conditional input. Model training used c2015 land cover data and building footprints and heights data. Building footprints and heights were sourced from the Model America data set (version 1) accessible via DOI: 10.15485/2283980. Annual 2015 land cover data was based on the National Land Cover Database (NLCD) Collection 1, accessible via DOI: 10.5066/P94UXNTS. The dataset contains 192 files in the GeoTiff format at 30 m spatial resolution containing urban morphology projections for the yearmore »« less
Urban morphology and urban water demand evolution in the Los Angeles region

Dataset Ferencz, Stephen ; Capone, Johanna ; Yoon, Jim ; ...

Detailed description of the dataset sources used in this study, the experimental workflow, and plotting for the paper figures provided at the associated GitHub Meta Repo: https://github.com/IMMM-SFA/Ferencz_et_al_2024_ERL The future water demand projections from this study are hypothetical future water demands that reflect the population and urban land cover changes represented by the scenarios considered. The intent and emphasis of this work is investigating the interactions between population change, evolution of urban morphology, and water demand. These projections are not meant to be likely future demands for specific water providers or the LA region and should not be interpreted as such. more »« less
Urban morphology and urban water demand evolution in the Los Angeles region

Dataset Ferencz, Stephen ; Capone, Johanna ; Yoon, Jim ; ...

Detailed description of the dataset sources used in this study, the experimental workflow, and plotting for the paper figures provided at the associated GitHub Meta Repo: https://github.com/IMMM-SFA/Ferencz_et_al_2024_ERL The future water demand projections from this study are hypothetical future water demands that reflect the population and urban land cover changes represented by the scenarios considered. The intent and emphasis of this work is investigating the interactions between population change, evolution of urban morphology, and water demand. These projections are not meant to be likely future demands for specific water providers or the LA region and should not be interpreted as such. more »« less
Las Vegas Building Morphology Parameters

Dataset Sweet, Levi ; Allen-Dumas, Melissa

132 urban parameters in csv format for census tracts within Clark County, NV.

Similar Records