摘要
传统的森林资源调查需要耗费大量的人力和物力。高分辨率遥感影像由于具有亚米级的空间分辨率,给森林类型的识别和森林数量因子的测量提供了可能。目前应用高分遥感影像提取森林信息的方法越来越多,通过文献调研,分析高分辨率数据在树高、树冠、树种、郁闭度、蓄积量参数方面的提取方法和存在的问题。对基于高分数据的森林信息提取方法及研究发展趋势进行了展望。
The method of traditional forest resource inventory is usually time-consuming. High resolution remote sensing images have sub-meter resolution which providing possibility to identify forest type and to measure the number of forest factors. At present, the method of extracting forest information with high resolution remote sensing images is evidently increasing. Through the literature research, this study ana- lyzed existing problems of extraction method on tree height, crown, tree species, canopy density, forest volume. Moreover, the paper has prospected the trend of applying high-resolution image data to forest in- formation extraction in the future.
出处
《林业调查规划》
2016年第4期1-6,共6页
Forest Inventory and Planning
基金
国家自然科学基金(31260156)
云南省林学一流学科建设经费资助
关键词
高分辨率遥感影像
森林信息提取
树高
树种
蓄积量
high resolution remote sensing images
forest information extraction
tree height
tree spe-cies
forest volume.
