Detection of Managing Status of Second-growth Forest Using Airborne LIDAR Data

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  • 航空機ＬＩＤＡＲを用いた森林植生管理パターン把握の試み
  • コウクウキ LIDAR オ モチイタ シンリンショクセイ カンリ パターン ハアク ノ ココロミ

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Abstract

A new method for measuring forest's 3D-structure and detecting managing status by using airborne LIDAR data was proposed in this paper. Firstly, histogram graph of pulse data along the altitude direction was adopted for describing characteristics of LIDAR data's stratum structure. And it was found that there exists good correlation between LIDAR data's histogram graph and DHDV (Degree of Human Disturbance of Vegetation) index, which indicates status of second-growth forest and usually is used in field-survey.<br>Secondly, method of generating Histogram Index (HI) map from LIDAR data was proposed and discussed in details. Just like multi-band satellite image data, HI map contains multi-band data structure, with each band standing for HI value within corresponding altitude range. And, with field-survey data of DHDV as reference data, classification was performed upon HI map in order to generate DHDV map of second-growth forest.<br>Verification on DHDV classification map shows that, there exists good possibility to generate DHDV map over large area of second-growth forest by using airborne LIDAR data, which shows fine prospects of airborne LIDAR's applications to forest managements.

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