{"title":"Digital mapping of coastal landscapes integrating ocean-environment relationships and machine learning","authors":"Kui Wang","doi":"10.1007/s12145-024-01386-4","DOIUrl":null,"url":null,"abstract":"<p>Currently, the Internet of Things (IoT) is in a premature phase. Although it is growing at a steady pace, there is still a need for further research in the field of security. In this work, the Fujian Province was selected as the study area. The climate, parent material and topographic information of the area were obtained, and the soil-landscape quantitative model was used to quantitatively obtain the relationship between the attributes of coastal sand and gravel soil. On the basis of soil type map, according to the difference of soil type elevation distribution, further predict the soil type distribution and make a map. The results show that the method can achieve more than 80% coincidence with the survey results on the scale of soil digital mapping and can make up for the missing areas of the survey.</p>","PeriodicalId":49318,"journal":{"name":"Earth Science Informatics","volume":"85 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth Science Informatics","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s12145-024-01386-4","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Currently, the Internet of Things (IoT) is in a premature phase. Although it is growing at a steady pace, there is still a need for further research in the field of security. In this work, the Fujian Province was selected as the study area. The climate, parent material and topographic information of the area were obtained, and the soil-landscape quantitative model was used to quantitatively obtain the relationship between the attributes of coastal sand and gravel soil. On the basis of soil type map, according to the difference of soil type elevation distribution, further predict the soil type distribution and make a map. The results show that the method can achieve more than 80% coincidence with the survey results on the scale of soil digital mapping and can make up for the missing areas of the survey.
期刊介绍：
The Earth Science Informatics [ESIN] journal aims at rapid publication of high-quality, current, cutting-edge, and provocative scientific work in the area of Earth Science Informatics as it relates to Earth systems science and space science. This includes articles on the application of formal and computational methods, computational Earth science, spatial and temporal analyses, and all aspects of computer applications to the acquisition, storage, processing, interchange, and visualization of data and information about the materials, properties, processes, features, and phenomena that occur at all scales and locations in the Earth system’s five components (atmosphere, hydrosphere, geosphere, biosphere, cryosphere) and in space (see "About this journal" for more detail). The quarterly journal publishes research, methodology, and software articles, as well as editorials, comments, and book and software reviews. Review articles of relevant findings, topics, and methodologies are also considered.
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