Paper
30 August 2023 Analysis of spatial and temporal changes of industrial heat sources in Ukraine from 2012 to 2022
Xiaolin Hou, Caihong Ma, Xin Sui, Yindi Zhao, Guangtong Wan
Author Affiliations +
Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127970A (2023) https://doi.org/10.1117/12.3007440
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China
Abstract
This study examines the impact of war conflict and political instability on industrial heat sources in Ukraine, considering the contrasting backdrop of abundant mineral resources and lagging economic development. Utilizing long time series remote sensing satellite data, the research enhances statistical efficiency compared to traditional labor-intensive methods of data collection. An innovative approach combining spatio-temporal density partitioning and machine learning is employed to identify energy-consuming industrial heat sources. By analyzing the spatio-temporal distribution of these sources in Ukraine from 2012 to 2022, the study reveals a significant decline in the number of industrial heat sources during the post-war period in the region, highlighting the significant impact of the war on its heavy industry.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaolin Hou, Caihong Ma, Xin Sui, Yindi Zhao, and Guangtong Wan "Analysis of spatial and temporal changes of industrial heat sources in Ukraine from 2012 to 2022", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127970A (30 August 2023); https://doi.org/10.1117/12.3007440
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KEYWORDS
Industry

Iron

Temperature distribution

Satellites

Machine learning

Remote sensing

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