WORLD SCI-TECH R&D ›› 2025, Vol. 47 ›› Issue (1): 60-81. doi: 10.16507/j.issn.1006-6055.2025.01.004 cstr: 32308.14.1006-6055.2025.01.004

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Research Progress and Prospect of Saline Soil Monitoring Based on Remote Sensing Technology

GENG Mengqing1 TANG Xiayu1 LI Xuecao1,2 WEN Ya'nan3 LI Baoguo1 LIU Han4,5 HUANG Jianxi1,2 KONG Xiangbin1 ZHANG Chao1 MIAO Shuangxi1,2   

  1. 1.School of Land Science and Technology,China Agricultural University; 2.Key Laboratory of Remote Sensing for Agri-Hazards,Ministry of Agriculture and Rural Affairs; 3.School of Information Engineering,China University of Geosciences; 4.Land Consolidation and Rehabilitation Center,Ministry of Natural Resources; 5. Science and Technology Innovation Bureau, State-owned Assets Supervision and Administration Commission of the State Council
  • Online:2025-03-06 Published:2025-03-06

Abstract: Soil salinization is a critical factor restricting the sustainable development of agroecology and social economy,and has become a global environmental issue.As one of the advanced technologies for detecting and identifying distant targets,remote sensing technology has the characteristics of comprehensive,macroscopic,and dynamic,and has been widely applied in the monitoring of the distribution,salinization degree and dynamic change of saline soil.To accurately and comprehensively understand and summarize the research progress,limitations,and future development trends of remote sensing technology in the application of saline soil,and to better support the management and utilization of saline soils,land resource allocation,and socio-economic development,this study focuses on the research of remote sensing monitoring and mapping of saline soils.It systematically reviews the recent research progress at home and abroad,and summarizes the main principles of saline soil monitoring,remote sensing data sources,information extraction methods of saline soil,existing problems and research hotspots.On this basis,this paper points out that integrating multi-source remote sensing data,large-scale sample databases,and field survey data,combined with machine learning models and expert knowledge,has become the main paradigm for regionalized quantitative inversion of soil salinity.In the future,methods such as image enhancement,multi-source heterogeneous data fusion,and improvements to environmental covariates in models will be key development directions in remote sensing of saline soil.

Key words: Soil Salinization, Remote Sensing, Dynamic Monitoring, Information Extraction