Paper Info
Title
Assessing the Impact of Spectral Resolution on Classification of Lowland Native Grassland Communities Based on Field Spectroscopy in Tasmania, Australia.
Abstract
This paper presents a case study for the analysis of endangered lowland native grassland communities in the Tasmanian Midlands region using field spectroscopy and spectral convolution techniques. The aim of the study was to determine whether there was significant improvement in classification accuracy for lowland native grasslands and other vegetation communities based on hyperspectral resolution datasets over multispectral equivalents. A spectral dataset was collected using an ASD Handheld-2 spectroradiometer at Tunbridge Township Lagoon. The study then employed a k-fold cross-validation approach for repeated classification of a full hyperspectral dataset, a reduced hyperspectral dataset, and two convoluted multispectral datasets. Classification was performed on each of the four datasets a total of 30 times, based on two different class configurations. The classes analysed were Themeda triandra grassland, Danthonia/Poa grassland, Wilsonia rotundifolia/Selliera radicans, saltpan, and a simplified C-3 vegetation class. The results of the classifications were then tested for statistically significant differences using ANOVA and Tukey's post-hoc comparisons. The results of the study indicated that hyperspectral resolution provides small but statistically significant increases in classification accuracy for Themeda and Danthonia grasslands. For other classes, differences in classification accuracy for all datasets were not statistically significant. The results obtained here indicate that there is some potential for enhanced detection of major lowland native grassland community types using hyperspectral resolution datasets, and that future analysis should prioritise good performance in these classes over others. This study presents a method for identification of optimal spectral resolution across multiple datasets, and constitutes an important case study for lowland native grassland mapping in Tasmania.
Year
DOI
Venue
2018
10.3390/rs10020308
REMOTE SENSING
Keywords
Field
DocType
hyperspectral,multispectral,random forest,grassland
Themeda,Vegetation,Multispectral image,Remote sensing,Grassland,Hyperspectral imaging,Geology,Danthonia,Random forest,Themeda triandra,Cartography
Journal
Volume
Issue
Citations 
10
2
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Bethany Melville100.34
Arko Lucieer245546.51
Jagannath Aryal35512.31