论文部分内容阅读
湿地植物是湿地生态系统的重要组成部分,是指示湿地生态系统演化的重要指标。利用遥感技术,可以在区域尺度上对湿地植物进行多时段综合观测,识别湿地植物类型,并对植物生物量进行反演,定量估算湿地生态系统资源,因此,遥感技术是评价湿地生态系统健康的重要手段。但是,利用单一种类的遥感数据源的反演,在反演精度和提取湿地植物信息的丰富度上存在缺陷,而利用多源遥感数据提取湿地植物信息的精度更高,应用前景广阔。重点从遥感数据源、多源遥感融合技术、湿地植物遥感分类方法、多源遥感数据识别湿地植物类型的应用、湿地植物生物量反演模型以及应用等方面,阐述多源遥感技术在湿地植物分类和生物量反演研究中的主要进展,讨论多源遥感技术在湿地研究中的优势和不足,展望其未来发展趋势。
Wetland plants are an important part of the wetland ecosystem and are important indicators of the evolution of wetland ecosystems. Using remote sensing technology, wetland plants can be comprehensively observed on a regional scale over many periods to identify wetland plant types, and plant biomass can be inverted to quantitatively estimate the wetland ecosystem resources. Therefore, remote sensing technology is used to evaluate the health of wetland ecosystems Important means. However, the inversion using a single type of remote sensing data source has some drawbacks in retrieving the precision and extracting richness of wetland plant information. However, using multi-source remote sensing data to extract wetland plant information has higher accuracy and broad application prospects. This paper focuses on the application of multi-source remote sensing technology in the classification of wetland plants from the aspects of remote sensing data source, multi-source remote sensing fusion technology, wetland plant remote sensing classification method, multi-source remote sensing data to identify wetland plant type application, wetland plant biomass inversion model, And biomass inversions. The advantages and disadvantages of multi-source remote sensing technology in wetland research are discussed, and its future development trend is forecasted.