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Characterising reedbeds using LiDAR data: potential and limitations

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Characterising reedbeds using LiDAR data: potential and limitations. / Onojeghuo, Alex O.; Blackburn, George Alan.
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 6, No. 2, 2013, p. 935-941.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Onojeghuo, AO & Blackburn, GA 2013, 'Characterising reedbeds using LiDAR data: potential and limitations', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 2, pp. 935-941. https://doi.org/10.1109/JSTARS.2012.2212235

APA

Onojeghuo, A. O., & Blackburn, G. A. (2013). Characterising reedbeds using LiDAR data: potential and limitations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(2), 935-941. https://doi.org/10.1109/JSTARS.2012.2212235

Vancouver

Onojeghuo AO, Blackburn GA. Characterising reedbeds using LiDAR data: potential and limitations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2013;6(2):935-941. doi: 10.1109/JSTARS.2012.2212235

Author

Onojeghuo, Alex O. ; Blackburn, George Alan. / Characterising reedbeds using LiDAR data : potential and limitations. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2013 ; Vol. 6, No. 2. pp. 935-941.

Bibtex

@article{d2ca00abd36c40d1a5685c152374955c,
title = "Characterising reedbeds using LiDAR data: potential and limitations",
abstract = "Reedbeds are dominated by a small number of plant species, but are extremely valuable habitats for faunal biodiversity. However, reedbeds often exist in small patches distributed across landscapes and for most regions there is a lack of information about their location and condition. This paper investigates the potential of using LiDAR-derived elevation and intensity data to characterise reedbeds. A Leica ALS50 was used to acquire data for reedbeds during the leaf-off phenological period and the study site encompassed a wide range of canopy development. For reedbeds there was a lack of multiple LiDAR returns and ground returns, which limited the ability to acquire information on canopy structure or terrain elevation. Nevertheless, the first return LiDAR data was able to generate an accurate digital surface model and subsequent canopy height model, as validated using field measurements (RMSE 0.47 m; average difference 0.09 m (5% of average height)). LiDAR intensity data displayed specular reflection effects within reedbed areas, but off-nadir imagery was successfully used for mapping reedbeds, non-reedbed vegetation and water bodies.",
author = "Onojeghuo, {Alex O.} and Blackburn, {George Alan}",
year = "2013",
doi = "10.1109/JSTARS.2012.2212235",
language = "English",
volume = "6",
pages = "935--941",
journal = "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Characterising reedbeds using LiDAR data

T2 - potential and limitations

AU - Onojeghuo, Alex O.

AU - Blackburn, George Alan

PY - 2013

Y1 - 2013

N2 - Reedbeds are dominated by a small number of plant species, but are extremely valuable habitats for faunal biodiversity. However, reedbeds often exist in small patches distributed across landscapes and for most regions there is a lack of information about their location and condition. This paper investigates the potential of using LiDAR-derived elevation and intensity data to characterise reedbeds. A Leica ALS50 was used to acquire data for reedbeds during the leaf-off phenological period and the study site encompassed a wide range of canopy development. For reedbeds there was a lack of multiple LiDAR returns and ground returns, which limited the ability to acquire information on canopy structure or terrain elevation. Nevertheless, the first return LiDAR data was able to generate an accurate digital surface model and subsequent canopy height model, as validated using field measurements (RMSE 0.47 m; average difference 0.09 m (5% of average height)). LiDAR intensity data displayed specular reflection effects within reedbed areas, but off-nadir imagery was successfully used for mapping reedbeds, non-reedbed vegetation and water bodies.

AB - Reedbeds are dominated by a small number of plant species, but are extremely valuable habitats for faunal biodiversity. However, reedbeds often exist in small patches distributed across landscapes and for most regions there is a lack of information about their location and condition. This paper investigates the potential of using LiDAR-derived elevation and intensity data to characterise reedbeds. A Leica ALS50 was used to acquire data for reedbeds during the leaf-off phenological period and the study site encompassed a wide range of canopy development. For reedbeds there was a lack of multiple LiDAR returns and ground returns, which limited the ability to acquire information on canopy structure or terrain elevation. Nevertheless, the first return LiDAR data was able to generate an accurate digital surface model and subsequent canopy height model, as validated using field measurements (RMSE 0.47 m; average difference 0.09 m (5% of average height)). LiDAR intensity data displayed specular reflection effects within reedbed areas, but off-nadir imagery was successfully used for mapping reedbeds, non-reedbed vegetation and water bodies.

U2 - 10.1109/JSTARS.2012.2212235

DO - 10.1109/JSTARS.2012.2212235

M3 - Journal article

VL - 6

SP - 935

EP - 941

JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

IS - 2

ER -