Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions
Estimating forest canopy height from large-footprint satellite LiDAR waveforms is challenging given the complex interaction between LiDAR waveforms, terrain, and vegetation, especially in dense tropical and equatorial forests. In this study, canopy height in French Guiana was estimated using multipl...
| 出版年: | Remote Sensing |
|---|---|
| 主要な著者: | , , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
MDPI AG
2014-11-01
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| 主題: | |
| オンライン・アクセス: | http://www.mdpi.com/2072-4292/6/12/11883 |
