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Remote Sens. 2015, 7(5), 5117-5132; doi:10.3390/rs70505117

Monitoring the Distribution and Dynamics of an Invasive Grass in Tropical Savanna Using Airborne LiDAR

1
Max Planck Institute for Biogeochemistry, Hans-Knoell-Str. 10, Jena 07745, Germany
2
Research Institute for Environment and Livelihoods, Charles Darwin University, Darwin, NT 0909, Australia
3
Airborne Research Australia, Flinders University, Salisbury South, SA 5106, Australia
*
Author to whom correspondence should be addressed.
Academic Editors: Norbert Pfeifer, András Zlinszky, Hermann Heilmeier, Heiko Balzter, Bernhard Höfle, Bálint Czúcz and Prasad S. Thenkabail
Received: 5 February 2015 / Revised: 10 April 2015 / Accepted: 20 April 2015 / Published: 24 April 2015
(This article belongs to the Special Issue Remote Sensing and GIS for Habitat Quality Monitoring)
View Full-Text   |   Download PDF [4575 KB, uploaded 27 April 2015]   |  

Abstract

The spread of an alien invasive grass (gamba grass—Andropogon gayanus) in the tropical savannas of Northern Australia is a major threat to habitat quality and biodiversity in the region, primarily through its influence on fire intensity. Effective control and eradication of this invader requires better insight into its spatial distribution and rate of spread to inform management actions. We used full-waveform airborne LiDAR to map areas of known A. gayanus invasion in the Batchelor region of the Northern Territory, Australia. Our stratified sampling campaign included wooded savanna areas with differing degrees of A. gayanus invasion and adjacent areas of native grass and woody tree mixtures. We used height and spatial contiguity based metrics to classify returns from A. gayanus and developed spatial representations of A. gayanus occurrence (1 m resolution) and canopy cover (10 m resolution). The cover classification proved robust against two independent field-based investigations at 500 m2 (R2 = 0.87, RMSE = 12.53) and 100 m2 (R2 = 0.79, RMSE = 14.13) scale. Our mapping results provide a solid benchmark for evaluating the rate and pattern of A. gayanus spread from future LiDAR campaigns. In addition, this high-resolution mapping can be used to inform satellite image analysis for the evaluation of A. gayanus invasion over broader regional scales. Our research highlights the huge potential that airborne LiDAR holds for facilitating the monitoring and management of savanna habitat condition. View Full-Text
Keywords: alien plant; gamba grass; invasion; LiDAR; weed mapping alien plant; gamba grass; invasion; LiDAR; weed mapping
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Levick, S.R.; Setterfield, S.A.; Rossiter-Rachor, N.A.; Hutley, L.B.; McMaster, D.; Hacker, J.M. Monitoring the Distribution and Dynamics of an Invasive Grass in Tropical Savanna Using Airborne LiDAR. Remote Sens. 2015, 7, 5117-5132.

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