收藏切换
Research progress in remote sensing monitoring and assessment of solid waste
收藏切换
Zhi-long HAN1, Yi-fei WANG2, Ping LI1, Lian-wei LI1, Shou-jing YIN1, 2, *
China Environmental Science | 2026, 46(3) : 1434 - 1443
Less
收藏切换
China Environmental Science | 2026, 46(3): 1434-1443
• Solid Waste •
Research progress in remote sensing monitoring and assessment of solid waste
Full
Zhi-long HAN1, Yi-fei WANG2, Ping LI1, Lian-wei LI1, Shou-jing YIN1, 2, *
Affiliations
  • 1.College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China
  • 2.Satellite Environment Application Center, Ministry of Ecology and Environment, Beijing 100094, China
Published: 2026-03-20
Outline
收藏切换

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.

solid waste  /  remote sensing  /  identification  /  site selection  /  environmental impact  /  review  /  landfill site
韩志龙, 王一飞, 李平, 李连伟, 殷守敬. 固体废物遥感监测评估研究进展. 中国环境科学, 2026 , 46 (3) : 1434 -1443 .
Zhi-long HAN, Yi-fei WANG, Ping LI, Lian-wei LI, Shou-jing YIN. Research progress in remote sensing monitoring and assessment of solid waste[J]. China Environmental Science, 2026 , 46 (3) : 1434 -1443 .
Year 2026 volume 46 Issue 3
87
24
Cite this Article
BibTeX
Article Info
  • Receive Date:2025-08-15
  • Online Date:2026-10-08
  • Published:2026-03-20
Article Data
Affiliations
History
  • Received:2025-08-15
Funding
Affiliations
    1.College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China
    2.Satellite Environment Application Center, Ministry of Ecology and Environment, Beijing 100094, China
References
Share
https://castjournals.cast.org.cn/joweb/zghjkx/EN/
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT