Structural attributes of individual trees for identifying homogeneous patches in a tropical rainforest
Authors: Alexander, C., Korstjens, A.H. and Hill, R.A.
Journal: International Journal of Applied Earth Observation and Geoinformation
Volume: 55
Pages: 68-72
eISSN: 1872-826X
ISSN: 1569-8432
DOI: 10.1016/j.jag.2016.11.004
Abstract:Mapping and monitoring tropical rainforests and quantifying their carbon stocks are important, both for devising strategies for their conservation and mitigating the effects of climate change. Airborne Laser Scanning (ALS) has advantages over other remote sensing techniques for describing the three-dimensional structure of forests. This study identifies forest patches using ALS-based structural attributes in a tropical rainforest in Sumatra, Indonesia. A method to group trees with similar attributes into forest patches based on Thiessen polygons and k-medoids clustering is developed, combining the advantages of both raster and individual tree–based methods. The structural composition of the patches could be an indicator of habitat type and quality. The patches could also be a basis for developing allometric models for more accurate estimation of carbon stock than is currently possible with generalised models.
https://eprints.bournemouth.ac.uk/24954/
Source: Scopus
Structural attributes of individual trees for identifying homogeneous patches in a tropical rainforest
Authors: Alexander, C., Korstjens, A.H. and Hill, R.A.
Journal: International Journal of Applied Earth Observation and Geoinformation
Volume: 55
Pages: 68-72
ISSN: 0303-2434
DOI: 10.1016/j.jag.2016.11.004
https://eprints.bournemouth.ac.uk/24954/
Source: Web of Science (Lite)
Structural attributes of individual trees for identifying homogeneouspatches in a tropical rainforest
Authors: Alexander, C., Korstjens, A.H. and Hill, R.
Journal: International Journal of Applied Earth Observation and Geoinformation
Volume: 55
Pages: 68-72
ISSN: 1872-826X
DOI: 10.1016/j.jag.2016.11.004
Abstract:Mapping and monitoring tropical rainforests and quantifying their carbon stocks are important, bothfor devising strategies for their conservation and mitigating the effects of climate change. AirborneLaser Scanning (ALS) has advantages over other remote sensing techniques for describing the three-dimensional structure of forests. This study identifies forest patches using ALS-based structural attributesin a tropical rainforest in Sumatra, Indonesia. A method to group trees with similar attributes into forestpatches based on Thiessen polygons and k-medoids clustering is developed, combining the advantagesof both raster and individual tree–based methods. The structural composition of the patches could be anindicator of habitat type and quality. The patches could also be a basis for developing allometric modelsfor more accurate estimation of carbon stock than is currently possible with generalised models.
https://eprints.bournemouth.ac.uk/24954/
Source: Manual
Structural attributes of individual trees for identifying homogeneous patches in a tropical rainforest.
Authors: Alexander, C., Korstjens, A.H. and Hill, R.A.
Journal: Int. J. Appl. Earth Obs. Geoinformation
Volume: 55
Pages: 68-72
DOI: 10.1016/j.jag.2016.11.004
https://eprints.bournemouth.ac.uk/24954/
Source: DBLP
Structural attributes of individual trees for identifying homogeneouspatches in a tropical rainforest
Authors: Alexander, C., Korstjens, A. and Hill, R.
Journal: International Journal of Applied Earth Observation and Geoinformation
Volume: 55
Issue: March
Pages: 68-72
ISSN: 1872-826X
Abstract:Mapping and monitoring tropical rainforests and quantifying their carbon stocks are important, bothfor devising strategies for their conservation and mitigating the effects of climate change. AirborneLaser Scanning (ALS) has advantages over other remote sensing techniques for describing the three-dimensional structure of forests. This study identifies forest patches using ALS-based structural attributesin a tropical rainforest in Sumatra, Indonesia. A method to group trees with similar attributes into forestpatches based on Thiessen polygons and k-medoids clustering is developed, combining the advantagesof both raster and individual tree–based methods. The structural composition of the patches could be anindicator of habitat type and quality. The patches could also be a basis for developing allometric modelsfor more accurate estimation of carbon stock than is currently possible with generalised models.
https://eprints.bournemouth.ac.uk/24954/
Source: BURO EPrints