Article(id=1314923037019955796, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1755187200000, receivedDateStr=2025-08-15, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791431682113, onlineDateStr=2026-10-08, pubDate=1773936000000, pubDateStr=2026-03-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791431682113, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791431682113, creator=13701087609, updateTime=1791431682113, updator=13701087609, issue=Issue{id=1314922986466009203, tenantId=1146029695717560320, journalId=1234093305789726721, year='2026', volume='46', issue='3', pageStart='1185', pageEnd='1776', issueExtLink='null', onlineDate='null', pubDate='1773936000000', pubDateStr='2026-03-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1791431670061, creator='13701087609', updateTime=1791431955369, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314924183251935526, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314924183251935527, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922986466009203, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1434, endPage=1443, ext={EN=ArticleExt(id=1314923037317751381, articleId=1314923037019955796, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Research progress in remote sensing monitoring and assessment of solid waste, columnId=1240689598498656298, journalTitle=China Environmental Science, columnName=Solid Waste, runingTitle=null, highlight=null, articleAbstract=

Primarily based on relevant literature from the Web of Science core database, it analyses the volume, content, and evolving trends of global and national research publications within this field. From an application perspective, solid waste remote sensing research is categorised into three domains: identification of solid waste disposal sites, site selection and suitability assessment, and environmental impact monitoring of disposal sites. Progress and emerging trends within each domain are systematically examined. Analysis reveals that current landfill identification approaches using low-resolution imagery predominantly employ GIS analysis and index construction, while high-resolution imagery applications frequently utilise deep learning techniques (object recognition, semantic segmentation). For site selection and suitability assessment, GIS platforms are commonly employed to conduct multi-criteria decision analysis integrating remote sensing indices (NDVI, NDWI, etc.) and topographical features (roads, water bodies, residential areas, etc.). Environmental monitoring primarily focuses on vegetation stress, surface thermal anomalies, and methane emissions. Current solid waste remote sensing research faces limitations in operationalising identification applications, lacks universally applicable site selection criteria, and has restricted environmental impact monitoring parameters. Building upon this, recommendations for advancing solid waste remote sensing research are proposed, aligned with environmental management requirements.

, authors=Zhi-long HAN¹, Yi-fei WANG², Ping LI¹, Lian-wei LI¹, Shou-jing YIN^{1, 2, *}, authorsList=Zhi-long HAN, Yi-fei WANG, Ping LI, Lian-wei LI, Shou-jing YIN, authorCompany=null, correspAuthors=Shou-jing YIN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314923037665878614, articleId=1314923037019955796, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=固体废物遥感监测评估研究进展, columnId=1240689598737731645, journalTitle=中国环境科学, columnName=固体废物, runingTitle=null, highlight=null, articleAbstract=

基于Web of Science核心数据库中相关文献，对全球各国固废遥感领域的研究文献数量、内容及其变化进行分析．并从应用维度出发将固废遥感研究划分为固废堆场识别、堆场选址及其适宜性评估、堆场环境影响监测等3个方面，对研究进展和趋势进行系统梳理．分析发现，当前堆场识别中基于低分辨率影像多采用GIS分析与指数构建，基于高分辨率影像多采用深度学习（目标识别、语义分割）方式进行；在选址及适宜性评估方面，多基于GIS平台采用多准则决策分析等方法对遥感指数（NDVI、NDWI等）、地形要素（道路、水体、居民区等）等多种要素进行综合分析；在环境检测中主要集中在植被胁迫、地表热异常、甲烷排放方面．当前固废遥感研究还存在着遥感识别业务化应用受限、选址标准通用性不强、环境影响监测要素有限等问题和不足，在此基础上，结合固废环境管理需求对固废遥感研究的发展提出建议，给出具体建议．

, authors=韩志龙¹, 王一飞², 李平¹, 李连伟¹, 殷守敬^{1, 2, *}, authorsList=韩志龙, 王一飞, 李平, 李连伟, 殷守敬, authorCompany=null, correspAuthors=殷守敬, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=mwfIy9Yqk9jhSIQ53MLC+A==, magXml=0frOFt/1YtneBsF7+P0WOg==, pdfUrl=null, pdf=UzixzsiHQnDzlB18YEQxPg==, pdfFileSize=538297, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=EtUrY0gtrVT3ZvUCtt3q8A==, mapNumber=null, fund=null)}, authors=[Author(id=1314923038542488158, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314923037019955796, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=Hanzhilong1024@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314923038638957152, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314923037019955796, authorId=1314923038542488158, language=EN, stringName=Zhi-long HAN, firstName=Zhi-long, middleName=null, lastName=HAN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314923038710260321, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314923037019955796, authorId=1314923038542488158, language=CN, stringName=韩志龙, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.中国石油大学（华东）海洋与空间信息学院，山东 青岛 266580, bio={"content":"

韩志龙（2001-），男，山东济宁人，中国石油大学（华东）硕士研究生，主要从事固废的遥感识别相关研究．Hanzhilong1024@163.com.

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韩志龙（2001-），男，山东济宁人，中国石油大学（华东）硕士研究生，主要从事固废的遥感识别相关研究．Hanzhilong1024@163.com.

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