書誌事項
- タイトル別名
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- Detection of Managing Status of Second-growth Forest Using Airborne LIDAR Data
- 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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抄録
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.
収録刊行物
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- 写真測量とリモートセンシング
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写真測量とリモートセンシング 49 (3), 140-148, 2010
一般社団法人 日本写真測量学会
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詳細情報 詳細情報について
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- CRID
- 1390001204077209856
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- NII論文ID
- 10026878359
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- NII書誌ID
- AN00111450
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- ISSN
- 18839061
- 02855844
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- NDL書誌ID
- 10780864
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可
