Johannes H. Uhl

University of Colorado at Boulder

  • University of Colorado at Boulder

SCHOLARLY PAPERS

3

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815

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0

CROSSREF CITATIONS

1

Scholarly Papers (3)

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1.

Studying the Impacts of Environmental Amenities and Hazards with Nationwide Property Data: Best Data Practices for Interpretable and Reproducible Analyses

WVU College of Law Research Paper No. 2021-013
Number of pages: 38 Posted: 04 Sep 2021
Christoph Nolte, Kevin J Boyle, Anita M Chaudhry, Christopher M. Clapp, Dennis Guignet, Hannah Hennighausen, Ido Kushner, Yanjun Liao, Saleh Mamun, Adam Pollack, Jesse Richardson, Shelby Sundquist, Kristen Swedberg and Johannes H. Uhl
Boston University, Virginia Tech, California State University, Chico - Department of Economics, University of Chicago - Harris School of Public Policy, Appalachian State University - Department of Economics, University of Alaska Anchorage - Department of Economics, Boston University, Resources for the Future, Department of Applied Economics, University of Minnesota, Boston University, West Virginia University College of Law, Boston University, Virginia Tech and University of Colorado at Boulder
Downloads 633 (68,227)
Citation 3

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2.

Urban Spatial Development in the United States from 1910 to 2010: A Novel Data-Driven Perspective

Number of pages: 42 Posted: 09 Mar 2020
Johannes H. Uhl, Dylan S. Connor, Stefan Leyk and Anna E. Braswell
University of Colorado at Boulder, Arizona State University (ASU), University of Colorado at Boulder and University of Colorado at Boulder
Downloads 149 (312,617)
Citation 1

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Urban spatial development, urban change, built environment, urban scaling, multi-temporal geospatial analysis

3.

Sugarcane Yield Estimation Through Remote Sensing Time Series and Phenology Metrics

Number of pages: 23 Posted: 16 Feb 2022
Dimo Dimov, Johannes H. Uhl, Fabian Löw and Gezahagn Negash Seboka
affiliation not provided to SSRN, University of Colorado at Boulder, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 33 (714,407)

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Crop yield estimation, phenology metrics, vegetation index time series, regression models, remote sensing