海岸带地理环境遥感监测综述
Review of remotely sensed geo-environmental monitoring of coastal zones
- 2016年20卷第5期 页码:1216-1229
纸质出版日期: 2016
DOI: 10.11834/jrs.20166168
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纸质出版日期: 2016 ,
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[1]李清泉,卢艺,胡水波,胡忠文,李洪忠,刘鹏,石铁柱,汪驰升,王俊杰,邬国锋.海岸带地理环境遥感监测综述[J].遥感学报,2016,20(05):1216-1229.
LI Qingquan, LU Yi, HU Shuibo, et al. Review of remotely sensed geo-environmental monitoring of coastal zones[J]. Journal of Remote Sensing, 2016,20(5):1216-1229.
海岸带作为连接海洋和陆地系统的特殊地理地带
与人类的生存与发展密切相关
但其自然和生态环境极其脆弱和敏感。气候变化和人类活动给海岸带环境带来了巨大压力
导致其生态环境不断恶化。随着技术的发展
近年来遥感技术已成为海岸带地理环境监测的重要手段之一
在海岸带规划、管理和保护中扮演着举足轻重的角色。本文对遥感技术在海岸带地理环境监测典型应用(土地利用/覆盖、土壤质量、植被、海岸线、水色、水深和水下地形及灾害)中的主要数据源、方法、结果和局限性进行归纳和总结
并对其未来发展提出展望。
A coastal zone is a special geographical zone that connects marine and terrestrial systems. Itis closely related to human existence and development. However
its natural and ecological environments are extraordinarily vulnerable and sensitive. Climate changes and human activities have large impacts on coastal zones
including the deterioration of the ecological environment. With technical advancement
remote sensing has become an important method in the geo-environmental monitoring of coastal zones
as well as in the planning
management
and protection of coastal zones. This paper reviews the main data sources
methods
and limitations of the applications of remote sensing techniques(i.e.
land use/cover
soil quality
vegetation
coastal line
water color
water depth
underwater topography
and disaster) in the geo-environmental monitoring of coastal zones. The prospects for future development are also discussed.Moderate or low resolution(e.g.
MODIS
Landsat TM/ETM+
and SPOT)
hyperspectral resolution(e.g.
ground-based ASD reflectance
Hyperion
Hymap
and CASI)
and high resolution(e.g.
Quickbird
World View
and Pleiades) remote sensing data have been widely used in the monitoring of land use/cover
soil quality
vegetation
coastal line
and water color in coastal zones. Airborne laser radar
microwave
and synthetic aperture radar(e.g.
ALOS PALSAR and In SAR) data are mainly used in the monitoring of water depth
underwater topography
and disasters in coastal zones. Multi-source data fusion(e.g.
Li DAR-hyperspectral and high-resolution hyperspectral) provides a new method for improving monitoring accuracy. The classification and extraction or quantitative retrieval of land use/cover
soil quality
vegetation
coastal line
water color
water depth
underwater topography
and disasters are the main processes in the geo-environmental monitoring of coastal zones. The main methods for classification and extraction are maximum likelihood
vegetation index
support vector
artificial neural network
object-oriented
decision tree
and random forest. The main methods for retrieval are statistical regression
physical modeling
and semi-empirical modeling. The cloudy and rainy environment in coastal zones is the biggest limitation in high-quality optical imagery and the continuous monitoring of land use/cover
soil quality
vegetation
coastal line
and water color. The retrieval of coastal soil quality with airborne and satellitebased hyperspectral images and the retrieval of the biochemical parameters of coastal vegetation have received minimal attention. The universality of water color models is mainly affected by atmospheric correction and study area. The retrieval accuracy of water depth is not guaranteed owing to the indirect measurement of water depth. Acquiring remote sensing data at random times and sites in the presence of sudden and catastrophic incidents in coastal zones remains difficult. Finally
this study proposes the following research prospects to further develop and improve the geo-environmental monitoring of coastal zones with remote sensing techniques: strengthening the multidiscipline collaboration on research methodologies; developing multiple sensors and monitoring platforms for monitoring measures; focusing on multi-source data fusion and assimilation in data processing;emphasizing data mining
intelligence
and physical models in information extraction; and paying attention to the integrated management and sustainable development of coastal lines in information application.
土地利用/覆盖土壤质量植被海岸线水色水深灾害
land use/coversoil qualityvegetationcoastal linewatercolorwater depthdisaster
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