Neural network models for predicting urban albedo of urban surfaces with different reflection directional properties
The urban albedo is regarded as an important indicator for mitigating the urban heat island (UHI) phenomenon. The goal of this paper is to create neural network models that forecast the urban albedo of various reflection directional characteristic urban surfaces by simply inputting the sun’s positio...
Main Authors: | Jihui Yuan, Yasuhiro Shimazaki, Shingo Masuko |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-11-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723013811 |
Similar Items
-
Reflectance Anisotropy from MODIS for Albedo Retrieval from a Single Directional Reflectance
by: Hu Zhang, et al.
Published: (2022-07-01) -
Estimating Visible Band Albedo from Aerial Orthophotographs in Urban Areas
by: Jaroslav Hofierka, et al.
Published: (2021-12-01) -
Assessing the Impacts of Urbanization on Albedo in Jing-Jin-Ji Region of China
by: Rongyun Tang, et al.
Published: (2018-07-01) -
Can retro-reflective materials replace diffuse highly reflective materials for urban buildings’ wall to improve outdoor thermal comfort?
by: Jihui Yuan, et al.
Published: (2023-04-01) -
Photon albedo for water, concrete, and iron at normal incidence, and dependence on the thickness of reflecting material
by: Marković Vladimir M., et al.
Published: (2013-01-01)