Results 221 to 230 of about 26,040 (249)

Investigating the Potential of Nighttime Light Data to Estimate Travel Demand

Transactions in GIS
ABSTRACTTaking the bike‐sharing travel demand (BSTD) as an example, this study investigates the potential of Nighttime Light (NTL) data to optimize forecasting performance and replace the land use factors. Stepwise regression is trained with the travel demand in each unit as the dependent variable, and land use factors are introduced as the independent
Chao Sun, Jian Lu
openaire   +1 more source

Urban-Rural Fringe Recognition with the Integration of Optical and Nighttime Lights Data

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Spatial identification of urban-rural fringes (URF) is crucial for monitoring urban sprawl and mapping out urban management planning. This paper proposes an efficient approach for extracting URF, integrating optical and nighttime lights (NTL) data.
Xiaolin Chen, Xiuping Jia, Mark Pickering   +2 more
openaire   +1 more source

Analysis of Lighting Changes in the Tourist City Edogawa Using Nighttime Light Data

Journal of the Indian Society of Remote Sensing, 2018
When assessing remote sensing data, nighttime light data have shortcomings that can be attributed to sensor limitations and the influence of the natural environment. Signal leakage errors in nighttime light data were identified in this study. A regression model was created to reduce signal leakage error by selecting sampling points in coastal area ...
Yang Cao, Jing Zhang, Mingxiang Yang, Binbin Guo, Mei Liu, Liu Yang, Jiashen Qu, Peng Gao   +7 more
openaire   +1 more source

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 data and their implications for IB research

Journal of International Management, 2023
Daniel Shapiro, Chang Hoon Oh, Peng Zhang   +2 more
openaire   +1 more source

Why VIIRS data are superior to DMSP for mapping nighttime lights

Proceedings of the Asia-Pacific Advanced Network, 2013
For more than forty years the U.S. Air Force Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has been the only satellite system collecting global low-light imaging data.  A series of twenty-four DMSP satellites have collected low-light imaging data.  The design of the OLS has not changed significantly since satellite F-
Christopher D. Elvidge, Kimberly E. Baugh, Mikhail Zhizhin, Feng-Chi Hsu   +3 more
openaire   +1 more source

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

2015
Douglas Addison, Benjamin Stewart
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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   +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, Congxiao Wang, Jianping Wu   +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