Remote Sensing | |
Using Lidar-Derived Vegetation Profiles to Predict Time since Fire in an Oak Scrub Landscape in East-Central Florida | |
James J. Angelo1  Brean W. Duncan2  | |
[1] Department of Biology, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL, 32816-2368, USA; E-Mail:;Innovative Health Applications, Mail Code: IHA-300, Kennedy Space Center, FL, 32899, USA; E-Mail: | |
关键词: lidar; classification algorithms; support vector machines; oak scrub; Florida; time since fire; prescribed burning; disturbance ecology; | |
DOI : 10.3390/rs2020514 | |
来源: mdpi | |
【 摘 要 】
Disturbance plays a fundamental role in determining the vertical structure of vegetation in many terrestrial ecosystems, and knowledge of disturbance histories is vital for developing effective management and restoration plans. In this study, we investigated the potential of using vertical vegetation profiles derived from discrete-return lidar to predict time since fire (TSF) in a landscape of oak scrub in east-central Florida. We predicted that fire influences vegetation structure at the mesoscale (
【 授权许可】
CC BY
© 2010 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190054626ZK.pdf | 420KB | download |