Remote Sensing Technology and Application, Volume. 40, Issue 3, 719(2025)

Analysis of Human Activity Intensity Estimation by Remote Sensing in Shanxi Province in 2015~2020

GAOWenwen1, Yizhu CHEN2, Ruizhi ZHOU3, Chuanyan SU4, Ying FU5,6, Jinchen WU5,6, Dan ZHAO5,6, and Yuan ZENG5,6、*
Author Affiliations
  • 1School of Hydro Science & Engineering, Taiyuan University of Technology, Taiyuan030024, China
  • 2College of Geological and Surveying Engineering,Taiyuan University of Technology, Taiyuan030024, China
  • 3Twenty First Century Aerospace Technology Company Limited, Beijing100096, China
  • 4The first geodetic survey pair of the Ministry of Natural Resources, Xi'an710054, China
  • 5Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Beijing100101, China
  • 6University of Chinese Academy of Sciences, Beijing100049, China
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    The interaction between human activities and land cover has important impacts on ecosystems. A study was conducted on the land cover of Shanxi Province to estimate the Human Activity Intensity Index of the Land Surface (HAILS) for the years 2015 and 2020. Spatial analysis was employed to explore the spatial and temporal distribution characteristics of the HAILS in terms of spatial pattern, slope and water flow paths, and correlation indices were used to discuss the validity of the HAILS and explore the influencing factors of its changes. The results indicate that the areas with higher HAILS from 2015 to 2020 were predominantly distributed in the basin and along the Fen River, and the percentage of areas with HAILS values greater than 20% increased in all slope bands. The water flow path results show that the HAILS values of the Fen River and other rivers decreased significantly after 2 km, and the HAILS values of the Fen River were highest both before 20 km and after 28 km.The HAILS was significantly correlated with the actual water consumption and the first, second and third GDP, but weakly correlated with the population density, the GDP and the night light data. Consequently, economic development, industrial structure and ecological protection policy are identified as the primary factors influencing the change of human activity intensity.

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    GAOWenwen, Yizhu CHEN, Ruizhi ZHOU, Chuanyan SU, Ying FU, Jinchen WU, Dan ZHAO, Yuan ZENG. Analysis of Human Activity Intensity Estimation by Remote Sensing in Shanxi Province in 2015~2020[J]. Remote Sensing Technology and Application, 2025, 40(3): 719

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    Paper Information

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    Received: Apr. 26, 2024

    Accepted: --

    Published Online: Sep. 28, 2025

    The Author Email: Yuan ZENG (zengyuan@aircas.ac.cn)

    DOI:10.11873/j.issn.1004-0323.2025.3.0719

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