DocumentCode
2858489
Title
Use of Airborne LIDAR for the Assessment of Landscape Structure in the Pine Forests of Everglades National Park
Author
Houle, Patricia A. ; Zhang, Keqi ; Ross, Michael S. ; Simard, Marc
Author_Institution
Int. Hurricane Res. Center, Florida Int. Univ., Miami, FL
fYear
2006
fDate
July 31 2006-Aug. 4 2006
Firstpage
1960
Lastpage
1963
Abstract
Remote sensing technologies have provided valuable data for landscape modeling, vegetation mapping and comprehensive studies of ecosystems. Airborne laser mapping or LIDAR (Light Detection and Ranging) can directly measure the three dimensional structure of plant canopies, as well as, provide accurate digital terrain models (DTM). While temperate and boreal pine forests have been studied using these methods, very limited work has been done in subtropical pine forests. In this study, airborne LIDAR was used to characterize the three dimensional structure of the forest on Long Pine Key at Everglades National Park. Analysis of the vertical distribution of airborne LIDAR data points has shown that distinctive patterns can be described which are characteristic of the vegetation communities and transition zones for pine forests , hammocks and marshes. This information is a valuable resource for forest managers by providing landscape structural data over large areas.
Keywords
image classification; optical radar; remote sensing by laser beam; remote sensing by radar; vegetation; 3D plant canopy structure; Everglades National Park; Light Detection and Ranging; Long Pine Key; USA; airborne LIDAR; airborne laser mapping; boreal pine forests; ecosystems; hammocks; landscape modeling; landscape structure assessment; marshes; remote sensing technology; subtropical pine forests; temperate pine forests; vegetation communities; vegetation mapping; Airborne radar; Biological system modeling; Digital elevation models; Ecosystems; Fires; Hurricanes; Laser modes; Laser radar; Terrain mapping; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location
Denver, CO
Print_ISBN
0-7803-9510-7
Type
conf
DOI
10.1109/IGARSS.2006.507
Filename
4241654
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