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Using Day Night Band Data to Predict Socioeconomic Factors for Populations in Flood Prone Areas


Authors: Matthew Preisser
Owners: Matthew Preisser
Resource type:Composite Resource
Created:Sep 21, 2018 at 3:26 a.m.
Last updated: Dec 08, 2018 at 12:23 a.m. by Matthew Preisser

Abstract

With this project, I want to use night time light measurements to see if there is a more accurate way to predict the effects of extreme storm events (specifically flood related weather events). Since census data is only updated every 10 years and often has considerable inaccuracies in it, there has been research in how to incorporate near real time satellite data to better predict numerous socioeconomic factors with population being the most common.

Subject Keywords

GISWR2018,Hurricane,Water Resources,Socioeconomic,Day Night Band,Flooding,Population

How to cite

Preisser, M. (2018). Using Day Night Band Data to Predict Socioeconomic Factors for Populations in Flood Prone Areas, HydroShare, http://www.hydroshare.org/resource/c6861841c5e14ad6aef82dd9b4c34ecb

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
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  • Sharable Resource  Shareable

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Authors

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Name Organization Address Phone Author Identifiers
Matthew Preisser UT Austin

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