A Review of Wetland Remote Sensing.
A Review of Wetland Remote Sensing.
复制标题
湿地遥感研究综述
DOI：
10.3390/s17040777
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发表时间：
2017-04-05
期刊：
影响因子：
--
通讯作者：
Wu L
中科院分区：
文献类型：
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作者：
Guo M;Li J;Sheng C;Xu J;Wu L
湿地是地球上最重要的生态系统之一。它们在缓解洪水和过滤污染水方面发挥着关键作用，并为许多植物和动物提供栖息地。湿地还与气候变化相互作用。在过去50年中，由于一些地区的土地覆盖发生变化，湿地受到污染并急剧减少。遥感是获取湿地时空信息最有用的工具。在本文中，七种类型的传感器进行了审查：航空照片的粗分辨率，中分辨率，高分辨率，高光谱图像，雷达和光探测和测距（LiDAR）数据。本研究也讨论了每种传感器在湿地研究中的优势。本文综述了湿地的研究主题，包括湿地分类、生境或生物多样性、生物量估算、植物叶化学、水质、红树林和海平面上升。本研究还概述了湿地研究中使用的方法，如监督和非监督分类，决策树和基于对象的分类。最后，对未来湿地遥感的发展提出了建议。本文是迄今为止对湿地遥感研究最全面、最详细的综述，对湿地研究者具有一定的参考价值。
Wetlands are some of the most important ecosystems on Earth. They play a key role in alleviating floods and filtering polluted water and also provide habitats for many plants and animals. Wetlands also interact with climate change. Over the past 50 years, wetlands have been polluted and declined dramatically as land cover has changed in some regions. Remote sensing has been the most useful tool to acquire spatial and temporal information about wetlands. In this paper, seven types of sensors were reviewed: aerial photos coarse-resolution, medium-resolution, high-resolution, hyperspectral imagery, radar, and Light Detection and Ranging (LiDAR) data. This study also discusses the advantage of each sensor for wetland research. Wetland research themes reviewed in this paper include wetland classification, habitat or biodiversity, biomass estimation, plant leaf chemistry, water quality, mangrove forest, and sea level rise. This study also gives an overview of the methods used in wetland research such as supervised and unsupervised classification and decision tree and object-based classification. Finally, this paper provides some advice on future wetland remote sensing. To our knowledge, this paper is the most comprehensive and detailed review of wetland remote sensing and it will be a good reference for wetland researchers.