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
[1] SINGH P, CHAUDHURI A S, VERMA P et al. Earth observation data sets in monitoring of urbanization and urban heat island of Delhi, India. Geomatics, Natural Hazards and Risk, 13, 1762-1779(2022).
[2] HERNÁNDEZ-BLANCO M, COSTANZA R, CHEN H J et al. Ecosystem health, ecosystem services, and the well-being of humans and the rest of nature. Global Change Biology, 28, 5027-5040(2022).
[3] LI Suping, ZHOU Xiu, ZHU Lihua. Spatial distribution characteristics of surface human activity intensity in Ji 'an city. City Geography, 2016, 280.
[4] HUANG Lingmei, SHEN Bing. Evaluation on interference intensity of human activities in dry area. Journal of Xi’an University of Technology, 25, 425-429(2009).
[5] QIN Dahe, ZHANG Kunming, NIU Wenyuan. 秦大河,张坤民,牛文元. Population, resources and environment and sustainable development in China(2002).
[6] WEN Ying. Preliminary discussion on quantitative evaluation method of human activity intensity. Impact of Science on Society, 56-61(1998).
[7] ZHANG Cuiyun, WANG Zhao. Quantitative assessment of human activity intensity in the Heihe catchment. Advance in Earth Sciences, 19, 386-390(2004).
[8] XU Zhigang, ZHUANG Dafang, YANG Lin. Construction and application of regional quantitative model of human activity intensity. Journal of Geo-Information Science, 11, 452-460(2009).
[9] GUO Shaozhuang, BAI Hongying, MENG Qing et al. Landscape pattern change and its response to anthropogenic disturbance in the Qinling Mountains during 1980 to 2015. Chinese Journal of Applied Ecology, 29, 4080-4088(2018).
[10] XU Yong, SUN Xiaoyi, TANG Qing. Human activity intensity of land surface: Concept, method and application in China. Acta Geographica Sinica, 70, 1068-1079(2015).
[11] CHEN Hongjin, LIU Lin, ZHANG Zhengyong et al. Spatiotemporal correlation between human activity intensity and surface temperature on the north slope of Tianshan Mountains. Acta Geographica Sinica, 77, 1244-1259(2022).
[12] MAO C R, REN Q, HE C Y et al. Assessing direct and indirect impacts of human activities on natural habitats in the Qinghai-Tibet Plateau from 2000 to 2020. Ecological Indicators, 157, 111217(2023).
[13] XIE W Q, YAO Y H. Quantifying human activity intensity in the Qinling-Daba Mountains. People and Nature, 6, 1486-1501(2024).
[14] QIU Cheng. Analysis on changes in human footprint from 2000 to 2020 in the biodiversity conservation priority area of China. Environmental Ecology, 7, 1-11(2025).
[15] YANG Hua, XU Yong, WANG Lijia et al. Spatio-temporal variation of human activity intensity and its driving factors on the Qinghai-Tibet Plateau. Acta Ecologica Sinica, 43, 3995-4009(2023).
[16] DUAN Quntao, LUO Lihui. Summary and prospect of spatialization method of human activity intensity: Taking the Qinghai-Tibet Plateau as an example. Journal of Glaciology and Geocryology, 43, 1582-1593(2021).
[17] HUANG Rui, ZHANG Lianming, LUO Kai. Spatial and temporal coupling relationship between ecosystem service supply and demand and human activity intensity in municipal areas along the Yellow River. Journal of North China University of Water Resources and Electric Power (Natural Science Edition), 44, 103-112(2023).
[18] JIA Yanyan, TANG Xiaolan, ZHANG Zhuoran. Distribution of nature protected areas and its relationship with human activity intensity in the middle and lower reaches of the Yangtze River Basin. World Regional Studies, 29, 845-855(2020).
[19] YIN Shumin. Experience, existing problems and suggestions of natural forest resources protection project in Shanxi Province. Flowers, 115-117(2022).
[20] ZHANG Ru, CHENG Peng, ZHANG Jun et al. Vegetation coverage variations and its influential factors in Shanxi Province. Journal of Northwest Normal University (Natural Science Edition), 53, 114-122(2017).
[21] GUO Pengcheng, ZHANG Xiaoping. Study on the evolution and driving factors of ecological environment in Shanxi province. Hubei Agricultural Sciences, 59, 164-168(2020).
[22] SONG W, SONG W, GU H H et al. Progress in the remote sensing monitoring of the ecological environment in mining areas. International Journal of Environmental Research and Public Health, 17, 1846(2020).
[24] YANG Li. Effect and experience of comprehensive management of soil and water conservation in Youyu County. Shanxi Water Resources, 35, 20-21(2019).
[25] SHENG Xiaowen, ZHOU Wei, CAO Yingui et al. Analysis of landscape vulnerability in Youyu County based on landscape pattern and ecological sensibility. Journal of Northwest Forestry University, 33, 167-174(2018).
[26] WANG Xiaohui, CHEN Yongfu, CHEN Erxue et al. Ecological benefit evaluation of Three-North Shelter Forest Project based on GIS—A case study in Zhongyang County,Shanxi Province. Bulletin of Soil and Water Conservation, 31, 171-175(2011).
[27] ZHANG Baoyan. Problems and countermeasures in the construction of warping dams in Linxian County. Soil and Water Conservation in China, 36-38(2023).
[28] GAO W W, ZENG Y, LIU Y et al. Human activity intensity assessment by remote sensing in the water source area of the middle route of the south-to-north water diversion project in China. Sustainability, 11, 5670(2019).
[29] WU J C, GAO W W, ZHENG Z J et al. Study of human activity intensity from 2015 to 2020 based on remote sensing in Anhui Province, China. Remote Sensing, 15, 2029(2023).
[30] GREENLAND S. Valid P-values behave exactly as they should: Some misleading criticisms of P-values and their resolution with S-values. The American Statistician, 73, 106-114(2019).
[31] XU Shaohua. Analysis and evaluation of annual growth and decline of soil and water loss in Shanxi Province. Soil and Water Conservation Science and Technology in Shanxi, 42-45(2022).
[32] WANG Hao. This year in the governance of the Yellow River: being meticulous and making the best use of the Yellow River's water. Policy Research, 71-73(2020).
[33] LAI Shuangshuang, XIN Fengzhen, YAO Wenxin et al. Analysis on temporal and spatial variation of human activity intensity and its economic driving force in Guangxi. Popular Science & Technology, 23, 10-13(2021).
[34] CHEN Yun. Short-term water consumption prediction method for regional farmland irrigation based on SVM algorithm. Modern Agricultural Science and Technology, 173-175(2024).
[35] MA Zhiqiang, MA Shiqin, ZHU Ye et al. Climatic conditions during alfalfa growing period in Shuozhou City. Agricultural Engineering, 13, 62-66(2023).
[36] BAI Yu. Analysis and study on the spatiotemporal changes of surface vegetation index in mining disturbance areas: A case study of Yicheng mining area(2017).
[37] LI Shu, BAN Fengmei, YAO Zhenzhong. Transformation evaluation of resource-based cities based on entropy weight TOPSIS method—Take Shuozhou City as an example. Journal of Taiyuan University (Social Science Edition), 22, 39-49(2021).
[38] WANG Kangjie. Path analysis of Yuncheng City based on the resources of the development of modern agriculture. Journal of Agriculture, 4, 120-124(2014).
[40] JI Wangdi, HUANG Xiaojun, BAO Wei et al. Spatiotemporal correlation characteristics and driving forces of human activity intensity and surface temperature in the Guanzhong area. Arid Land Geography, 47, 967-979(2024).
[41] SHU Song, YU Bailang, WU Jianping et al. Methods for deriving urban built-up area using night-light data: Assessment and application. Remote Sensing Technology and Application, 26, 169-176(2011).
[42] LI Weihua. Study on the mechanism of human activiyies on atmospheric environment in yellow river basin(2023).
[43] HU Bing. Study on Industrial Structure Adjustment and Economic Development in Shanxi Province. Global Market, 2019, 20.
[44] YANG Jinlong. Study on the Economic Spatial Differentiation and Sustainable Development of Fenhe River Basin(2012).
[45] LIU Yue, WANG Wentao. Study on the influence of industrial structure adjustment on economic development in Shanxi Province. China Economist, 107-109(2021).
[46] ZHANG Linlin. Study on ecological environment and ecological restoration of soil and water conservation along the Yellow River in Shanxi Province. Soil and Water Conservation Science and Technology in Shanxi, 18-19(2021).
Get Citation
Copy Citation Text
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
Category:
Received: Apr. 26, 2024
Accepted: --
Published Online: Sep. 28, 2025
The Author Email: Yuan ZENG (zengyuan@aircas.ac.cn)