Hail storm vulnerability assessment by using hyperspectral remote sensing and GIS techniques

Bhaskaran, Sunil; Forster, B.; Datt, B.; Neal, Trevor

doi:10.1109/igarss.2001.977085

Cited by 9 publications

(7 citation statements)

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“…These are derivable from the national network of rain and single-polarized Doppler radar sites (Matthews and Geerts, 1995;SREP, 2015), and from the limited satellite observations that are available over the continent (e.g. Bhaskaran et al, 2001;Cecil and Blankenship, 2012;Punge et al, 2014;Ferraro et al, 2015). The relatively short temporal records and spatial coverage available for these sources of proxy observations preclude a substantial climatological analysis.…”

Section: Severe Thunderstorm Reports and Remotely Sensed Observationsmentioning

confidence: 99%

A review of severe thunderstorms in Australia

Allen

Allen²

2016

Atmospheric Research

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Severe thunderstorms are a common occurrence in Australia, and have been documented since the first European settlement in 1788. These events are characterized by large damaging hail in excess of 2cm, convective wind gusts greater than 90kmh-1 and tornadoes, and contribute a quarter of all natural hazard related losses in the country. This impact has lead to a growing body of research and insight into these events. In this article, the state of knowledge regarding their incidence, distribution, and the resulting hail, tornado, convective wind risk and lightning will be reviewed. Applying this assessment of knowledge, the implications for forecasting, the warning process and how these events may respond to climate change and variability will also be discussed. Based on this review, several potential avenues for future research and exploration are suggested, and ongoing work in the field outlined. Most notably, the need for improved observational or proxy climatologies, forecasting guidelines for tornadoes and a greater understanding of how severe thunderstorms respond to climate variability are highlighted.

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Section: Severe Thunderstorm Reports and Remotely Sensed Observationsmentioning

confidence: 99%

A review of severe thunderstorms in Australia

Allen

Allen²

2016

Atmospheric Research

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“…Knowledge about these materials is required for planning and conservation purposes (Sukopp et al, 1980) as well as for vulnerability analysis (Mueller et al, 2006;Bhaskaran et al, 2001). The dynamic development of urban areas requires frequent updating of existing databases.…”

Section: Introductionmentioning

confidence: 99%

Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data

Heiden

Segl

Roessner

et al. 2007

Remote Sensing of Environment

180

115

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Hyperspectral remote sensing data open up new opportunities for analyzing urban areas characterized by a large variety of spectrally distinct surface materials. Spectroscopic analysis using diagnostic spectral features yields the potential for automated identification and mapping of these materials. This study proposes a new approach for the determination and evaluation of such spectral features that are robust against spectral overlap between material classes and within class variability. Analysis is based on comprehensive field and image spectral libraries of more than 21.000 spectra of surface materials widely-used in German cities. The robustness of the interactively defined spectral features is evaluated by a separability analysis. This method is performed based on confusion matrices for each material computed from classification results. For comparison this analysis is also performed for material-specific gray values of selected bands. The obtained commission and omission errors show superiority of the spectral features compared to gray values for most of the investigated materials. The results indicate that robust spectral features yield the potential for unsupervised detection of endmembers in hyperspectral image data.

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“…In this study, detection of the IS especially the roof of buildings based on their materials using multispectral remote sensing data is proposed. Detection of the roof types and conditions is important; knowledge on roof material types can assist applications such as disaster preparedness [16] solar photovoltaic energy modeling [17] UHI assessment [18][19][20] and runoff quality [11]. However, accurate IS extraction is still a challenge with existing and traditional methods.…”

Section: Introductionmentioning

confidence: 99%

Development of a Generic Model for the Detection of Roof Materials Based on an Object-Based Approach Using WorldView-2 Satellite Imagery

Taherzadeh¹,

Shafri²

2013

ARS

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The detection of impervious surface (IS) in heterogeneous urban areas is one of the most challenging tasks in urban remote sensing. One of the limitations in IS detection at the parcel level is the lack of sufficient training data. In this study, a generic model of spatial distribution of roof materials is considered to overcome this limitation. A generic model that is based on spectral, spatial and textural information which is extracted from available training data is proposed. An object-based approach is used to extract the information inherent in the image. Furthermore, linear discriminant analysis is used for dimensionality reduction and to discriminate between different spatial, spectral and textural attributes. The generic model is composed of a discriminant function based on linear combinations of the predictor variables that provide the best discrimination among the groups. The discriminate analysis result shows that of the 54 attributes extracted from the WorldView-2 image, only 13 attributes related to spatial, spectral and textural information are useful for discriminating different roof materials. Finally, this model is applied to different WorldView-2 images from different areas and proves that this model has good potential to predict roof materials from the WorldView-2 images without using training data.

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Hail storm vulnerability assessment by using hyperspectral remote sensing and GIS techniques

Cited by 9 publications

References 0 publications

A review of severe thunderstorms in Australia

A review of severe thunderstorms in Australia

Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data

Development of a Generic Model for the Detection of Roof Materials Based on an Object-Based Approach Using WorldView-2 Satellite Imagery

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