FR2.R19.1
Spectral Intensity of Artificial Light at Night Over North America
Jun Wang, University of Iowa, United States; , ,
Session:
FR2.R19: Nighttime Remote Sensing for Sustainable Development Goals (1/2) Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Fri, 14 Aug, 11:00 - 11:15
Presentation
Discussion
Resources
No resources available.
Session FR2.R19
FR2.R19.1: Spectral Intensity of Artificial Light at Night Over North America
Jun Wang, University of Iowa, United States; , ,
FR2.R19.2: DASYMETRIC DOWNSCALING AND SHARPENING OF HISTORICAL VIIRS NIGHTTIME LIGHT DATA USING SDGSAT-1 AND GLOBAL HUMAN SETTLEMENT DATA
Johannes H. Uhl, European Commission, Italy; Panagiotis Politis, European Dynamics Belgium S.A., Belgium; Martino Pesaresi, Michele Melchiorri, Thomas Kemper, European Commission, Italy; Linlin Lu, Chinese Academy of Sciences, China
FR2.R19.3: Advances in Lunar Irradiance Modeling for Day/Night Band Nocturnal Applications
Steven Miller, Cynthia Combs, Yoo-Jeong Noh, Colorado State University, United States
FR2.R19.4: Rural House Vacancy Rate Estimation via Transfer Learning with Multi-Source Remote Sensing Data
Peiran Li, Hitotsubashi University, Japan; Jundong Chen, Shiga University, Japan; Xinlei Shao, The University of Tokyo, Japan; Dou Huang, LocationMind, Japan; Wenru Zhang, The University of Tokyo, Japan; Linchuan Yang, Southeast Jiaotong University, China; Chihiro Shimizu, Hitotsubashi University, Japan
FR2.R19.5: A TRANSFERABLE SPATIO-TEMPORAL GRAPH LEARNING FRAMEWORK FOR SUSTAINABLE DEVELOPMENT GOAL 7 ELECTRIFICATION MAPPING IN AFRICA
Jingru Wang, Dong Liu, The Chinese University of Hong Kong, Shenzhen, China; Zhu Han, Beijing University of Technology, China; Hansong Liu, The Chinese University of Hong Kong, Shenzhen, China
Contacts