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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Understanding the multi-seasonal spectral and biophysical characteristics of reedbed habitats in the UK
AU - Onojeghuo, Alex Okiemute
AU - Blackburn, George Alan
PY - 2016
Y1 - 2016
N2 - Reedbed in the UK has been classified as priority habitat for most regional Biodiversity Partnerships. However, critical information pertaining to the quality and spatial coverage of reedbed is currently lacking. This paper presents the results of a project conducted in collaboration with the Cumbria Wildlife Trust and Environment Agency aimed at monitoring and understanding variations in the spectral reflectance and biophysical properties of reedbed canopies across Leighton Moss Nature Reserve in Lancashire, northwest England. Throughout the seasonal phenological cycle of the reedbed habitats in the study area, optimal spectral indices required for quantifying its biophysical properties were determined using field spectroscopy and ground-based measurements. Results of the experiment showed that the narrow-band-derived Difference Vegetation Index (DVI) and Renormalised Difference Vegetation Index (RDVI), with the correlation coefficient R2 of 0.77 and 0.72, respectively, provided the most accurate estimates of the leaf area index for the reedbed canopies.
AB - Reedbed in the UK has been classified as priority habitat for most regional Biodiversity Partnerships. However, critical information pertaining to the quality and spatial coverage of reedbed is currently lacking. This paper presents the results of a project conducted in collaboration with the Cumbria Wildlife Trust and Environment Agency aimed at monitoring and understanding variations in the spectral reflectance and biophysical properties of reedbed canopies across Leighton Moss Nature Reserve in Lancashire, northwest England. Throughout the seasonal phenological cycle of the reedbed habitats in the study area, optimal spectral indices required for quantifying its biophysical properties were determined using field spectroscopy and ground-based measurements. Results of the experiment showed that the narrow-band-derived Difference Vegetation Index (DVI) and Renormalised Difference Vegetation Index (RDVI), with the correlation coefficient R2 of 0.77 and 0.72, respectively, provided the most accurate estimates of the leaf area index for the reedbed canopies.
KW - Vegetation index
KW - leaf area index
KW - biophysical measures
U2 - 10.1080/10095020.2016.1256034
DO - 10.1080/10095020.2016.1256034
M3 - Journal article
VL - 19
SP - 233
EP - 244
JO - Geo-spatial Information Science
JF - Geo-spatial Information Science
SN - 1009-5020
IS - 4
ER -