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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
Extracting structural vegetation components from small-footprint waveform lidar for biomass estimation in savanna ecosystems
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 7, No. 2, Article 6578207, Year 2014
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Description
Measurement of vegetation biomass accumulation is critical for ecosystem assessment and monitoring, but doing so typically involves extensive field data collection that yields relatively crude structural outputs, e.g., plot- or site-level metrics. This study assessed the utility of airborne light detection and ranging (lidar) waveform features to explain structural and biomass variation in a savanna ecosystem across a land-use gradient. The ability of aboveground waveform lidar features to model field-based woody and herbaceous biomass measurements was evaluated statistically by regression models using forward variable selection. Waveform features explained 76% of the variation in woody biomass in a regulated communal land use area (RMSE = 29.0 kg). The waveform features were also correlated to herbaceous measurements in the same land-use area, with increased correlations at higher biomass levels. These results indicate that small-footprint waveform lidar data potentially can be used as a single modality to describe heterogeneous woody cover in a savanna environment; however, further research is warranted during the full growing season to fully evaluate its performance. © 2008-2012 IEEE.
Authors & Co-Authors
McGlinchy, Joseph M.
United States, Redlands
Esri
van Aardt, Jan Andreas N.
United States, Rochester
Rochester Institute of Technology
Erasmus, Barend F.N.
South Africa, Johannesburg
University of the Witwatersrand
Asner, Gregory P.
United States, Palo Alto
Stanford University
Mathieu, Renaud
South Africa, Pretoria
The Council for Scientific and Industrial Research
Wessels, Konrad Johan
South Africa, Pretoria
University of Pretoria
United States, Cupertino
Apple Computer
Knapp, David E.
United States, Palo Alto
Stanford University
Kennedy-Bowdoin, Ty
United States, Palo Alto
Stanford University
Rhody, Harvey
United States, Rochester
Rochester Institute of Technology
Kerekes, John P.
United States, Rochester
Rochester Institute of Technology
Ientilucci, Emmett J.
United States, Rochester
Rochester Institute of Technology
Wu, Jiaying
United States, Cupertino
Apple Computer
Sarrazin, Diane
Canada, Ottawa
National Defence and the Canadian Forces
Cawse-Nicholson, Kerry A.
United States, Rochester
Rochester Institute of Technology
Statistics
Citations: 21
Authors: 14
Affiliations: 8
Identifiers
Doi:
10.1109/JSTARS.2013.2274761
ISSN:
19391404
e-ISSN:
21511535
Study Design
Grounded Theory