Results 1 to 10 of about 4,629,474 (274)

Integrating Strong Ground Motion Simulation with Nighttime Light Remote Sensing for Seismic Damage Assessment in the 2025 Dingri Mw7.1 Earthquake

open access: yesRemote Sensing
On 7 January 2025, an Mw7.1 earthquake struck Dingri County, Tibet, causing severe damage in a high-altitude, sparsely instrumented region where traditional damage assessment methods are limited.
Wenyue Wang, Ke Sun, Fang Ouyang
doaj   +2 more sources

Evaluating the Potential of LJ1-01 Nighttime Light Data for Modeling Socio-Economic Parameters

open access: yesSensors, 2019
The LJ1-01 satellite is the first dedicated nighttime light remote sensing satellite in the world and offers a higher spatial resolution than the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) and the Visible ...
Guo Zhang   +3 more
doaj   +1 more source

Monitoring Trends in Light Pollution in China Based on Nighttime Satellite Imagery

open access: yesRemote Sensing, 2014
China is the largest developing country worldwide, with rapid economic growth and the highest population. Light pollution is an environmental factor that significantly influences the quality and health of wildlife, as well as the people of any country ...
Pengpeng Han   +6 more
doaj   +1 more source

Virtual 3D Multi-Angle Modeling and Analysis of Nighttime Lighting in Complex Urban Scenes

open access: yesRemote Sensing
Urban nighttime lighting extends human activity hours and enhances safety but also wastes energy and causes light pollution. Influenced by building obstructions and surface reflections, light emissions exhibit significant anisotropy.
Xueqian Gao   +11 more
doaj   +1 more source

Satellite Remote Sensing Time-Series Observation of Russia–Ukraine War: Ongoing Conflict Increased Crop Risk

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assessing the impact of the Russia–Ukraine war on crop growth is of great significance for the formulation of humanitarian aid and food security strategies.
Yin Zhang   +4 more
doaj   +1 more source

Adaptive Non-Negative Geographically Weighted Regression for Population Density Estimation Based on Nighttime Light

open access: yesISPRS International Journal of Geo-Information, 2019
Nighttime light imagery provides a perspective for studying urbanization and socioeconomic changes. Traditional global regression models have been applied to explore the nonspatial relationship between nighttime lights and population density.
Hone-Jay Chu   +2 more
doaj   +1 more source

DeepLight: Reconstructing High-Resolution Observations of Nighttime Light With Multi-Modal Remote Sensing Data

open access: yesCoRR
This paper has been accepted in IJCAI ...
Lixian Zhang 0002   +6 more
openaire   +3 more sources

Identifying the Central Business Districts of global megacities using nighttime light remote sensing data

open access: yesInternational Journal of Digital Earth
ABSTRACTThe Central Business Districts (CBDs) are important hubs for urban economic activities. In the context of globalization, a unified CBD boundary would greatly facilitate the study of global CBD comparative analysis, urban socio-economic development, urban transport and commuting mode.
Na Jie, Xin Cao 0002, Li Zhuo 0002
openaire   +3 more sources

An Innovative New Approach to Light Pollution Measurement by Drone

open access: yesDrones
The study of light pollution is a relatively new and specific field of measurement. The current literature is dominated by articles that describe the use of ground and satellite data as a source of information on light pollution. However, there is a need
Katarzyna Bobkowska   +3 more
doaj   +1 more source

Global risk assessment of river pollution stress based on nighttime light remote sensing data

open access: yesScience of The Total Environment
Rivers play a crucial role in the development of human civilization, and river pollution is a significant environmental issue that accompanies with intensified human activity. However, the evaluation of river pollution at a global scale is difficult because of the limitations of long-term pollution-related datasets.
Yesen, Liu   +2 more
openaire   +2 more sources

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