Contrasting fire damage and fire susceptibility between seasonally flooded forest and upland forest in the Central Amazon using portable profiling LiDAR
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- 作者：Danilo Roberti Alves de Almeidaa ; daniloflorestas@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Bruce Walker Nelsona ; Juliana Schiettia ; Eric Bastos Gorgensb ; Angé ; lica Faria Resendea ; Scott C. Starkc ; Rubé ; n Valbuenad
- 关键词：Forest fire ; Amazon ; Leaf area profiles ; Remote sensing of canopy structure ; LiDAR ; Structural attributes ; Leaf area density ; Igapó ; Floodplain forest ; Terra firme
- 刊名：Remote Sensing of Environment
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：184
- 期：Complete
- 页码：153-160
- 全文大小：581 K
文摘
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Amazon upland and black water flood forests were burned by same fire event.
2D LiDAR showed flood forest had far more damage than upland.
Pre-burn flood forest had more low-LAI area, more gaps, lower top-of-canopy.
Canopy structure from LiDAR predicted basal area loss from fire.
Flood and adjacent forests may suffer high fire impact in future drier climates.