Estimating heat storage in urban areas using multispectral satellite data and machine learning-Reference-Cited by-同舟云学术

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Estimating heat storage in urban areas using multispectral satellite data and machine learning

Published:2021-01 Issue: Volume:252 Page:112125
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Hrisko Joshua,Ramamurthy Prathap,Gonzalez Jorge E.

Funder

Army Research Office

National Oceanic and Atmospheric Administration

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference113 articles.

1. A study on the partition of net radiation into heat fluxes on a dry asphalt surface;Anandakumar;Atmos. Environ.,1999

2. Surface energy exchange in a dense urban built-up area based on two-year eddy covariance measurements in Sakai, Japan;Ando;Urban Clim.,2017

3. An urban canyon energy budget model and its application to urban storage heat flux modeling;Arnfield;Energy Build.,1998

4. Surface energy balance measurements above an exurban residential neighbourhood of Kansas City, Missouri;Balogun;Bound.-Layer Meteorol.,2009

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