多元遥感数据在树冠高度提取中的应用

Combination of LiDAR and Multi Spectral Data in Canopy Height Extraction Application

树冠高度是获取森林生态系统垂直性质的一个强有力的预测指标,能帮助提高森林的监测、管理和规划能力。因此,树冠高度信息作为森林生态系统研究的重要基础参数之一,提高其提取的准确度,对该信息在进一步实践领域中的应用具重要意义。本文以树冠高度信息在森林围场伐木收割中的应用为例,探索以LiDAR数据与多光谱数据相结合的方式,提取树冠高度信息,以确定采伐围场的先后顺序。结果表明,该方法可以较准确地提取树冠高度,同时较好地描述森林植被生长的垂直性质,推测出研究区围场规划管理的一致性与多样性表现,为森林资源清查和管理提供重要依据。

Canopy height is a very important forest structure characteristics that can be used to model many of biophysical characteristics,such as above-ground biomass,canopy volume.Hence,canopy height as the basic parameter for detecting forest ecosystem,the accuracy its extraction has to be improved more precisely,which plays an important role in its practical application.This paper is a case study of tree harvest in New Forest,UK,exploring a combination method of LiDAR-deriving DEM and multi-spectral data to extract canopy heights so that predict the order of the to-be-harvested enclosures from soonest to the slowest.The result showed that the extractions of canopy heights were performed suitable and the forest vertical characteristics can be described clearly.It can be inferred from the results that the management of enclosures in new forest is of consistency within each enclosure and variety between one another hereby providing significative reference for forest inventory and management.