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It is of foremost importance to, within a regional ecological risk-reduction strategy, develop a useful online system for soil ecological assessment and prediction to prevent people from suffering the threat of sudden disasters. However, the traditional manual or empirical parameter adjustment causes the mismatch of the hyperparameters of the model, which cannot meet the urgent need for high-performance prediction of soil properties using multi-dimensional data in the WebGIS system. To this end, this study aims to develop a saline\u2013alkali soil ecological monitoring system for real-time monitoring of soil ecology in the Yellow River Delta, China. The system applied advanced web-based GIS, including front-end and back-end technology stack, cross-platform deployment of machine learning models, and a database embedded in multi-source environmental variables. The system adopts a five-layer architecture and integrates functions such as data statistical analysis, soil health assessment, soil salt prediction, and data management. The system visually displays the statistical results of air quality, vegetation index, and soil properties in the study area. It provides users with ecological risk assessment functions to analyze heavy metal pollution in the soil. Specially, the system introduces a tree-structured Parzan estimator (TPE)-optimized machine learning model to achieve accurate prediction of soil salinity. The TPE\u2013RF model had the highest prediction accuracy (R2 = 94.48%) in the testing set in comparison with the TPE\u2013GBDT model, which exhibited a strong nonlinear relationship between environmental variables and soil salinity. The system developed in this study can provide accurate saline\u2013alkali soil information and health assessment results for government agencies and farmers, which is of great significance for agricultural production and saline\u2013alkali soil ecological protection.<\/jats:p>","DOI":"10.3390\/rs16111948","type":"journal-article","created":{"date-parts":[[2024,5,28]],"date-time":"2024-05-28T13:32:55Z","timestamp":1716903175000},"page":"1948","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A WebGIS-Based System for Supporting Saline\u2013Alkali Soil Ecological Monitoring: A Case Study in Yellow River Delta, China"],"prefix":"10.3390","volume":"16","author":[{"given":"Yingqiang","family":"Song","sequence":"first","affiliation":[{"name":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinxue","family":"Pan","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meiyan","family":"Xiang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weihao","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dexi","family":"Zhan","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingrui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miao","family":"Lu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China\/Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"},{"name":"National Center of Technology Innovationfor Comprehensive Utilization of Saline-Alkali Land, Dongying 257300, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"10777","DOI":"10.1021\/acs.est.6b04140","article-title":"Are Agricultural Soils Dumps for Microplastics of Urban Origin?","volume":"50","author":"Nizzetto","year":"2016","journal-title":"Environ. 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