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Understanding the multi-seasonal spectral and biophysical characteristics of reedbed habitats in the UK

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Understanding the multi-seasonal spectral and biophysical characteristics of reedbed habitats in the UK. / Onojeghuo, Alex Okiemute; Blackburn, George Alan.

In: Geo-spatial Information Science, Vol. 19, No. 4, 2016, p. 233-244.

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@article{813d29d0d70c4b5bad25d305c671b7e0,
title = "Understanding the multi-seasonal spectral and biophysical characteristics of reedbed habitats in the UK",
abstract = "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.",
keywords = "Vegetation index, leaf area index, biophysical measures",
author = "Onojeghuo, {Alex Okiemute} and Blackburn, {George Alan}",
year = "2016",
doi = "10.1080/10095020.2016.1256034",
language = "English",
volume = "19",
pages = "233--244",
journal = "Geo-spatial Information Science",
issn = "1009-5020",
publisher = "Taylor and Francis Ltd.",
number = "4",

}

RIS

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 -