Evaluation of vegetation indices for rangeland biomass estimation in the Kimberley area of Western Australia

The objective of this paper is to test the relationships between Above Ground Biomass (AGB) and remotely sensed vegetation indices for AGB assessments in the Kimberley area in Western Australia. For 19 different sites, vegetation indices were derived from eight Landsat ETM+ scenes over a period of t...

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Main Authors: Mundava, Charity, Helmholz, Petra, Schut, Tom, Corner, Robert, McAtee, B., Lamb, D.
Other Authors: F. Sunar
Format: Conference Paper
Published: Inernational Society for Photogrammetry and Remote Sensing 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/35296
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author Mundava, Charity
Helmholz, Petra
Schut, Tom
Corner, Robert
McAtee, B.
Lamb, D.
author2 F. Sunar
author_facet F. Sunar
Mundava, Charity
Helmholz, Petra
Schut, Tom
Corner, Robert
McAtee, B.
Lamb, D.
author_sort Mundava, Charity
building Curtin Institutional Repository
collection Online Access
description The objective of this paper is to test the relationships between Above Ground Biomass (AGB) and remotely sensed vegetation indices for AGB assessments in the Kimberley area in Western Australia. For 19 different sites, vegetation indices were derived from eight Landsat ETM+ scenes over a period of two years (2011–2013). The sites were divided into three groups (Open plains, Bunch grasses and Spinifex) based on similarities in dominant vegetation types. Dry and green biomass fractions were measured at these sites. Single and multiple regression relationships between vegetation indices and green and total AGB were calibrated and validated using a "leave site out" cross validation. Four tests were compared: (1) relationships between AGB and vegetation indices combining all sites; (2) separate relationships per site group; (3) multiple regressions including selected vegetation indices per site group; and (4) as in 3 but including rainfall and elevation data. Results indicate that relationships based on single vegetation indices are moderately accurate for green biomass in wide open plains covered with annual grasses. The cross-validation results for green AGB improved for a combination of indices for the Open plains and Bunch grasses sites, but not for Spinifex sites. When rainfall and elevation data are included, cross validation improved slightly with a Q2 of 0.49–0.72 for Open plains and Bunch grasses sites respectively. Cross validation results for total AGB were moderately accurate (Q2 of 0.41) for Open plains but weak or absent for other site groups despite good calibration results, indicating strong influence of site-specific factors.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-352962023-02-27T07:34:31Z Evaluation of vegetation indices for rangeland biomass estimation in the Kimberley area of Western Australia Mundava, Charity Helmholz, Petra Schut, Tom Corner, Robert McAtee, B. Lamb, D. F. Sunar O. Altan M. Taberner Prediction Landsat Analysis Imagery Estimation Modelling The objective of this paper is to test the relationships between Above Ground Biomass (AGB) and remotely sensed vegetation indices for AGB assessments in the Kimberley area in Western Australia. For 19 different sites, vegetation indices were derived from eight Landsat ETM+ scenes over a period of two years (2011–2013). The sites were divided into three groups (Open plains, Bunch grasses and Spinifex) based on similarities in dominant vegetation types. Dry and green biomass fractions were measured at these sites. Single and multiple regression relationships between vegetation indices and green and total AGB were calibrated and validated using a "leave site out" cross validation. Four tests were compared: (1) relationships between AGB and vegetation indices combining all sites; (2) separate relationships per site group; (3) multiple regressions including selected vegetation indices per site group; and (4) as in 3 but including rainfall and elevation data. Results indicate that relationships based on single vegetation indices are moderately accurate for green biomass in wide open plains covered with annual grasses. The cross-validation results for green AGB improved for a combination of indices for the Open plains and Bunch grasses sites, but not for Spinifex sites. When rainfall and elevation data are included, cross validation improved slightly with a Q2 of 0.49–0.72 for Open plains and Bunch grasses sites respectively. Cross validation results for total AGB were moderately accurate (Q2 of 0.41) for Open plains but weak or absent for other site groups despite good calibration results, indicating strong influence of site-specific factors. 2014 Conference Paper http://hdl.handle.net/20.500.11937/35296 10.5194/isprsannals-II-7-47-2014 Inernational Society for Photogrammetry and Remote Sensing fulltext
spellingShingle Prediction
Landsat
Analysis
Imagery
Estimation
Modelling
Mundava, Charity
Helmholz, Petra
Schut, Tom
Corner, Robert
McAtee, B.
Lamb, D.
Evaluation of vegetation indices for rangeland biomass estimation in the Kimberley area of Western Australia
title Evaluation of vegetation indices for rangeland biomass estimation in the Kimberley area of Western Australia
title_full Evaluation of vegetation indices for rangeland biomass estimation in the Kimberley area of Western Australia
title_fullStr Evaluation of vegetation indices for rangeland biomass estimation in the Kimberley area of Western Australia
title_full_unstemmed Evaluation of vegetation indices for rangeland biomass estimation in the Kimberley area of Western Australia
title_short Evaluation of vegetation indices for rangeland biomass estimation in the Kimberley area of Western Australia
title_sort evaluation of vegetation indices for rangeland biomass estimation in the kimberley area of western australia
topic Prediction
Landsat
Analysis
Imagery
Estimation
Modelling
url http://hdl.handle.net/20.500.11937/35296