Litcius/Paper detail

Satellite Remotely Sensed Nighttime Lights Reveal Spatiotemporal Dynamics of the Ukrainian-Russian Conflict

Yuehan Yu, Shirao Liu, Yuanqing Li, Kaifang Shi

2023IEEE Geoscience and Remote Sensing Letters11 citationsDOI

Abstract

Since February 2022, the Ukrainian-Russian conflict has become a focal point of international attention. Because remotely sensed nighttime light technology can effectively track variations in light intensity across war zones based on light information, data can provide first-hand information on the war’s development to improve understanding of its status. This informs policy decisions and facilitates post-conflict reconstruction. Thus, it is necessary to analyze spatiotemporal dynamics of the Ukrainian-Russian conflict using daily nighttime light data from the Black Marble product VNP46A2 of the Suomi National Polar-orbiting Partnership-Visible Infrared Imaging Radiometer Suite (SNPP-VIIRS). First, we developed a dataset of daily nighttime lights in Ukraine from February 24 to October 14, 2022. Then, statistical and spatiotemporal change analyses were used to detect spatiotemporal dynamics of nighttime lights in Ukraine from national, state, and city scales, respectively. The results show a significantly fluctuating decreasing trend of nighttime lights in Ukraine, indicating that the war greatly influenced socioeconomic development in the country. With the conversion of the core conflict locations in Ukraine, nighttime lights in Kharkov and Luhansk presented a significant decreasing trend. In some recovering states, nighttime lights remained low, indicating the challenges of socioeconomic recovery in the short term. This letter can provide an effective way for monitoring the trend of the Ukrainian-Russian conflict from a remotely sensed nighttime light perspective.

Topics & Concepts

UkrainianSatelliteRemote sensingSatellite broadcastingComputer scienceEnvironmental scienceMeteorologyGeographyAstronomyPhysicsLinguisticsPhilosophyImpact of Light on Environment and HealthRemote Sensing in Agriculture