Discrimination of blackberry (Rubus fruticosus sp. agg.) using hyperspectral imagery in Kosciuszko National Park,NSW, Australia

Dehaan, Remy; Louis, John; Wilson, A.K.; Hall, Andrew; Rumbachs, Rod

doi:10.1016/j.isprsjprs.2007.01.004

Cited by 36 publications

(23 citation statements)

References 27 publications

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“…Eight of the 10 best bands were selected from the SWIR region, while the remaining two are from the VIS region (see Figure 3). This contradicts the results in [10,11,12] where the authors identified the VIS (0.400-0.700 µm) region to be most appropriate to discriminate between soil and vegetation, but is in agreement with [13] where the authors identified SWIR2 (2.050-2.500 µm) region to be most appropriate to discriminate between soil and vegetation.…”

Section: Discussioncontrasting

confidence: 62%

Within- and between-class variability of spectrally similar tree species

Debba

Cho

Mathieu

2009

2009 IEEE International Geoscience and Remote Sensing Symposium

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In this paper, a comparison is made through evaluating the withinand between-class species variability for the original, the first derivative and second derivative spectra. For each, the experiment was conducted (i) over the entire electromagnetic spectrum (EMS), (ii) the visible (VIS) region, (iii) the near infrared (NIR) region, (iv) the short wave infrared (SWIR) region, (v) using band selection, for example, best 10, 20, 30 and 65 bands selected, through linear stepwise discriminant analysis (vi) using sequential selection of bands, for example, every 5th, 9th, 15th, 19th or 25th band selected and (vii) spectral degradation of the spectral bands by averaging the reflectance values for every 5th, 9th, 15th, 19th or 25th band. We concluded that for this data set, there are important bands from the original spectra, the first and second derivative spectra and from various regions of the EMS (VIS, NIR, SWIR) that is important for species separability. Furthermore, there did not seem to be any decrease in species separability, for this data set, by degrading the spectral bands through averaging the reflectance. This implies that hyperspectral (high spectral) measurements did not prove useful in species separability compared to lower spectral resolution data.

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Section: Discussioncontrasting

confidence: 62%

Within- and between-class variability of spectrally similar tree species

Debba

Cho

Mathieu

2009

2009 IEEE International Geoscience and Remote Sensing Symposium

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“…It was not possible to collect top-of-canopy spectra in this study. Instead, spectral measurements were collected from leaf stacks on a black background covering the entire sensor field of view (FOV; Coops et al, 2003;Pietrzykowski et al, 2006;Dehaan et al, 2007). Leaf samples were arranged with adaxial surfaces facing the spectroradiometer lens.…”

Section: Field Spectral Librarymentioning

confidence: 99%

Spectral mixture analysis to monitor defoliation in mixed-aged Eucalyptus globulus Labill plantations in southern Australia using Landsat 5-TM and EO-1 Hyperion data

Somers

Verbesselt

Ampe

et al. 2010

International Journal of Applied Earth Observation and Geoinfor

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“…agg.) is widely recognized as one of the most invasive plant species across Australia (Dehaan et al, 2007) and has increasingly spread across our study sites. Blackberry forms dense patches in woodland remnants along creeks in our study sites and is likely to have modified habitats and microclimatic conditions for many terrestrial species.…”

Section: Differing Habitat Structure Variables Correlated With Animalmentioning

confidence: 99%

Birds as surrogates for mammals and reptiles: Are patterns of cross-taxonomic associations stable over time in a human-modified landscape?

Yong

Barton

Okada

et al. 2016

Ecological Indicators

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a b s t r a c tCross-taxonomic surrogates can be feasible alternatives to direct measurements of biodiversity in conservation if validated with robust data and used with explicit goals. However, few studies of cross-taxonomic surrogates have examined how temporal changes in composition or richness in one taxon can drive variation in concordant patterns of diversity in another taxon, particularly in a dynamic and heavily modified landscape. We examined this problem by assessing changes in cross-taxonomic associations over time between the surrogate (birds) and target vertebrate taxa (mammals, reptiles) that demand high sampling effort, in a heterogeneous mosaic landscape comprising pine monoculture, eucalypt woodland remnants and agricultural land. Focussing on four study years (1999, 2001, 2011, 2013) from a dataset collected over 15 years, we: (1) investigated temporal changes in cross-taxonomic congruency among three animal taxa (2) explored how temporal variation in composition and species richness of each taxon might account for variation in cross-taxonomic congruency, and (3) identified habitat structural variables that are strongly correlated with species composition of each taxon. We found the strength of cross-taxonomic congruency varied between taxa in response to both landscape context and over time. Among the three taxa, overall correlations were weak but were consistently positive and strongest between birds and mammals, while correlations involving reptiles were usually weak and negative. We also found that stronger species richness and composition correlations between birds and mammals were not only more prevalent in woodland remnants in the agricultural matrix, but they also increased in strength over time. Temporal shifts in species composition differed in rate and extent among the taxa even though these shifts were significant over time, while important habitat structural correlates were seldom shared across taxa. Our study highlights the role of the landscape matrix and time in shaping animal communities and the resulting cross-taxonomic associations in the woodland remnants, especially after a major perturbation event (i.e. plantation establishment). In such dynamic landscapes, differing and taxon-specific shifts in species diversity over time can influence the strength, direction and consistency of cross-taxonomic correlations, therefore posing a 'temporal' problem for the use of surrogates like birds in monitoring and assessment of biodiversity, and conservation management practices in general.

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Discrimination of blackberry (Rubus fruticosus sp. agg.) using hyperspectral imagery in Kosciuszko National Park,NSW, Australia

Cited by 36 publications

References 27 publications

Within- and between-class variability of spectrally similar tree species

Within- and between-class variability of spectrally similar tree species

Spectral mixture analysis to monitor defoliation in mixed-aged Eucalyptus globulus Labill plantations in southern Australia using Landsat 5-TM and EO-1 Hyperion data

Birds as surrogates for mammals and reptiles: Are patterns of cross-taxonomic associations stable over time in a human-modified landscape?

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