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作 者:吕晶 金日[1] 朱卫红[1] 张鹏[1] LV Jing;JIN Ri;ZHU Weihong;ZHANG Peng(Key Laboratory of Wetland Ecological Functions and ecological Security,College of Geography and Ocean Sciences,Yanbian University,Yanji 133002,China)
机构地区:[1]延边大学地理与海洋科学学院,长白山湿地与生态吉林省联合重点实验室,吉林延吉133000
出 处:《延边大学农学学报》2022年第4期17-23,共7页Agricultural Science Journal of Yanbian University
基 金:国家自然科学基金项目(41830643)。
摘 要:森林树种精细分类对于森林管理、森林扰动监测、环境和生物多样性评估以及碳储量和蓄积量估算至关重要,遥感技术凭借其快速获取大范围、连续性、长时间序列空间数据的技术优势可以实时、准确地获取森林生态系统树种类型。该文通过查阅大量国内外研究文献,针对利用卫星遥感技术提取树种信息研究的不同数据源与不同树种信息提取模型,按其基于不同数据源提取的原理与方法,将其归纳为多光谱遥感、雷达遥感、高光谱遥感、多源遥感协同4个方面,并且对现有研究的研究进展、研究方法、存在的问题进行归纳总结,讨论了各个方法模型和所用遥感数据的优缺点。在此基础上,指出制约树种提取精度的瓶颈和解决措施,最后对利用卫星遥感技术对树种信息提取研究的发展趋势进行了展望。Fine classification of forest tree species is essential for forest management,forest disturbance monitoring,environmental and biodiversity assessment,and carbon stock and accumulation estimation.Remote sensing technology,with technical advantage of rapidly acquiring spatial data of large scale,continuous and long time,can obtain real-time and accurate tree species types of forest ecosystems.In this paper,by reviewing a large amount of domestic and foreign research literature,we focus on different data sources and different models of tree species information extraction using satellite remote sensing technology,and summarize them into four aspects of multispectral remote sensing,radar remote sensing,hyperspectral remote sensing,and multi-source collaboration according to their principles and methods of extraction based on different data sources,and summarize the research progress,research methods,and problems of existing research,and discuss the advantages and disadvantages of each method model and the remote sensing data used.On this basis,the bottlenecks restricting the accuracy of tree species extraction and solution measures are pointed out.Finally,the development trend of research on tree species information extraction using satellite remote sensing technology is prospected.
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