Remote Sensing Technology and Application, Volume. 39, Issue 5, 1171(2024)
Analysis of the International Research Trend in the Application of Remote Sensing Technology for Desertification Monitoring and Assessment
[1] WANG Tao, ZHU Zhenda. Study on sandy desertification in China—. Journal of Desert Research, 23, 3-8(1).
[2] WANG Z, SHI Y, ZHANG Y. Review of desert mobility assessment and desertification monitoring based on remote sensing. Remote Sensing, 15, 4412(2023).
[3] LIN Jin, ZHOU Weidong. A review desertification monitoring in China. World Forestry Research, 1998, 59-64.
[4] NIE WG, WEI HD. Monitor of desertification and law of China for desert control. Journal of Arid Land Resources and Environment, 16, 78-82(2002).
[5] ZHAO Yuanyuan, GAO Guanglei, QIN Shugao et al. Desertification detection and the evaluation indicators: A review. Journal of Arid Land Resources and Environment, 33, 81-87(2019).
[6] NIU Xing, GAO Yong, XING Tiepeng et al. Research Progress of Desertification Monitoring and Assessment. Journal of Inner Mongolia Forestry Science & Technology, 36, 51-55(2010).
[7] ZHANG Hongxue, LI Yizhan, CHEN Siming et al. Spatio-temporal pattern analysis of global remote sensing research in recent 10 years. Remote Sensing Technology and Application, 37, 45-60(2022).
[8] LI Yizhan, LI Zexia, LIU Xiwen et al. Application analysis of remote sensing data based on remote sensing of environment. Remote Sensing Technology and Application, 35, 1-12(2020).
[9] Ninkov A, Frank J R, Maggio L A. Bibliometrics:Methods for studying academic publishing. Perspectives on Medical Education, 11, 173-176(2022).
[10] ZHU Liang, MENG Xianxue. The comparative study on bibliometric method and content analysis method. Library Work And Study, 64-66(2013).
[11] Leong C. Narratives and water:A bibliometric review. Global Environmental Change, 68, 102267(2021).
[12] ZHAO Rongying, XU Limin. The knowledge map of the evolution and research frontiers of the bibliometrics. Journal of Library Science in China, 36, 60-68(2010).
[13] QIU Jinping, SHEN Ying, SONG Yanhui. A comparative study on the progress and development trend of management studies at home and abroad in recent ten years. Journal of Modern Information, 39, 17-25,37(2019).
[14] PAN Jianjun, KANG Yexi, LI Xiaozhen et al. Evolution, Hotspot and frontier of standardization research in China's nuclear industry:Scientific econometric analysis based on the literature of CNKI from 1980 to 2021. Science and Technology Management Research, 42, 31-40(2022).
[15] GUO B, YANG F, FAN Y et al. The dominant driving factors of rocky desertification and their variations in typical mountainous Karst areas of Southwest China in the context of global change. Catena, 220, 106674(2023).
[16] HAN Lanying, WAN Xin, FANG Feng et al. Desertification assessments of Hexi regions in Gansu province by remote sensing. Arid Land Geography, 36, 131-138(2013).
[17] CUI Yaoping, LIU Tong, ZHAO Zhiping et al. Using multi-spectral remote sensing data to extract and analyze the vegetation change of the western gurbantunggut desert. Journal Of Geo-Information Science, 13, 305-312(2011).
[18] MIN Yufang, ZHANG Yaonan, KANG Jianfang et al. Study on spatial-temporal dynamic monitoring of degree of desertification in CPEC based on MODIS image. Remote Sensing Technology and Application, 36, 827-837(2021).
[19] MENG Jian, XIONG Wenhao, ZHOU Han et al. Research on extraction method of desert vegetation based on neural network. Computer & Digital Engineering, 52, 206-212(2024).
[20] FENG Chun, ZHANG Yunfeng, JIAO Chaowei et al. Dynamic remote sensing research on land desertification in upper reaches of Tuwei River Basin. Remote Sensing Information, 31, 110-114(2016).
[21] WU Qianqian, WANG Wuli, JIANG Yumeng. Land desertification prediction based on Residual Grey Markov Model. Computer & Digital Engineering, 51, 2724-2728(2023).
[22] ZHENG Jiaxiang, SUN Guili, SU Xiangling et al. Trends of desertification change and its driving factors in Aksu Region. Bulletin of Soil and Water Conservation, 42, 278-285(2022).
[23] HAN J, WANG J, CHEN L et al. Driving factors of desertification in Qaidam Basin, China: An 18-year analysis using the geographic detector model. Ecological Indicators, 124, 107404(2021).
[24] LI He, YUAN Cuimin, LI Yafeng. A review of big data research based on bibliometrics. Information Science, 32, 148-155(2014).
[25] TONG X, WANG K, YUE Y et al. Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the Karst regions of Southwest China. International Journal of Applied Earth Observation and Geoinformation, 54, 105-113(2017).
[26] LU Zhongshuo, FAN Bin, CAO Lianming. Research progress at home and abroad on the prevention and treatment of pulmonary fibrosis by TCM medicine in recent 20 years——A visual analysis based on VOSviewer and citeSpace. Clinical Journal of Chinese Medicine, 16, 105-113(2024).
[27] XU Erqi. Progress of international research of Karst rocky desertification based on CiteSpace. Carsologica Sinica, 40, 728-738(2021).
[28] MA Jianping, ZHANG Yuankai, ZHANG Wen et al. Study on ecological benefits and solved problems of closed sandy land and grazing prohibition. Ecological Science, 42, 248-256(2023).
[29] LIU Zhengyao, DONG Zhibao, LIU Yonglin et al. Conditions for the development of deserticulture in the Mu Us sandy land. Journal of Desert Research, 38, 881-888(2018).
[30] ZHAO Ning, ZHOU Lei, ZHUANG Jie et al. Integration analysis of the carbon sources and sinks in terrestrial ecosystems,China. Acta Ecologica Sinica, 41, 7648-7658(2021).
[31] BOALI A, ASGARI H R, BEHBAHANI A M et al. Remotely sensed desertification modeling using ensemble of machine learning algorithms. Remote Sensing Applications: Society and Environment, 34, 101149(2024).
[32] LU Ruijie, LIU Shulin, KANG Wenping et al. Combining the GEE platform and machine learning algorithm for desert information extraction. Journal of Desert Research, 43, 60-70(2023).
Get Citation
Copy Citation Text
Heng REN, Xin JIA, Jinlu LI, Peilin LI. Analysis of the International Research Trend in the Application of Remote Sensing Technology for Desertification Monitoring and Assessment[J]. Remote Sensing Technology and Application, 2024, 39(5): 1171
Category:
Received: Jan. 23, 2024
Accepted: --
Published Online: Jan. 7, 2025
The Author Email: