Results 261 to 270 of about 27,737,305 (283)

Modelling monthly-gridded carbon emissions based on nighttime light data

Journal of Environmental Management
Timely and accurate implementation of carbon emissions (CE) analysis and evaluation is necessary for policymaking and management. However, previous inventories, most of which are yearly, provincial or city, and incomplete, have failed to reflect the spatial variations and monthly trends of CE.
Ruxing Wan, Shuangyue Qian, Jianhui Ruan, Li Zhang, Zhe Zhang, Shuying Zhu, Min Jia, Bofeng Cai, Ling Li, Jun Wu, Ling Tang   +10 more
openaire   +2 more sources

Nighttime Lights Revisited: The Use of Nighttime Lights Data as a Proxy for Economic Variables

2015
Douglas Addison, Benjamin Stewart
openaire   +1 more source

Performance Evaluation of Prediction Methods of Social Statistics for Nighttime Light Data

2022 IEEE 22nd International Conference on Communication Technology (ICCT), 2022
Xiaomin Du, Feng Li, Jing Tong
openaire   +2 more sources

Mapping nighttime PM2.5 concentrations in Nanjing, China based on NPP/VIIRS nighttime light data

Atmospheric Environment, 2023
Huijuan Chen, Yongming Xu, Sheng Zhong, Yaping Mo, Shanyou Zhu   +4 more
openaire   +1 more source

A Building Volume Adjusted Nighttime Light Index for Characterizing the Relationship Between Urban Population and Nighttime Light Intensity

Computers, Environment and Urban Systems, 2023
Qiusheng Wu, Bailang Yu, Congxiao Wang
exaly  

Annual Time Series of Global VIIRS Nighttime Lights Derived From Monthly Averages: 2012 To 2019

Remote Sensing, 2021
Feng-Chi Hsu, Tilottama Ghosh, Mikhail Zhizhin   +2 more
exaly  

Using Nighttime Lights Data as a Proxy in Social Scientific Research

2016
This chapter presents a formal statistical approach to estimate the amount of information that can be provided by proxy variables to improve current estimation of variables in social scientific research. The chapter introduces two useful geocoded datasets, satellite-based nighttime lights and Geographically-based Economic Data (GEcon), and demonstrates
openaire   +1 more source

LION: Spatiotemporal Data Fusion Model for Nighttime Light

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
Chen Xu, Xiaoping Du, Lin Yan 0005, Xiangtao Fan   +3 more
openaire   +1 more source

What Drives Urban Carbon Emission Efficiency? – Spatial Analysis Based on Nighttime Light Data

Applied Energy, 2022
Guochang Fang, Lixin Tian
exaly  

Nighttime Light Remote Sensing for Urban Applications: Progress, Challenges, and Prospects

ISPRS Journal of Photogrammetry and Remote Sensing, 2023
Qihao Weng, Karen C. Seto, Qiming Zheng
exaly