Tree Species Classification and Forest Stand Delineation Based on Remote Sensing Data -Large Scale Monitoring of Biodiversity in the Forest

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NETL

外文摘要：Forest inventory is a prerequisite for sustainable forest management and an ideal source to monitor biodiversity in the forest Current developments in the area of remote sensing - the increase in availability of large scale aerial LIDAR and multispectral image data or imaging satellite data as well as the increased spatial resolution - allow for cost-effective stand-wise calculation of inventory data for large landscapes。 An integrated approach， combining new tree species classification and forest stand delineation techniques， which provides new means for large scale forest inventory will be described。 It results in a close-to-reality description of the forest based on remote sensing data。

外文关键词：

tree species classificationforest inventoryLIDARdigital aerial imaging

作者：

J. Rossmann、P.M. Krahwinkler

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作者单位：

Institute of Man Machine Interaction, RWTH Aachen University, Ahornstrasse 55, 52074 Aachen, Germany

会议名称：

International symposium on remote sensing of environment;ISRSE-33

会议地点：

Stresa(IT);Stresa(IT)

会议母体文献：

33rd international symposium on remote sensing of environment : Proceedings

页码：

P.1262-1265

出版时间：

2009