Automatic three-dimensional features extraction: The case study of L'Aquila for collapse identification after April 06, 2009 earthquake

Baiocchi, Valerio; Brigante, Raffaella; Dominici, Donatella; Milone, Maria Vittoria; Mormile, Martina; Radicioni, Fabio

doi:10.5721/eujrs20144724

Cited by 17 publications

(15 citation statements)

References 25 publications

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“…After the pre-processing, features were extracted from the images through an object-oriented classification approach [57,58] implemented in the eCognition Developer 9.1 environment [59]. The object-oriented method is based on two steps: image segmentation that defines image objects, and classification, which is based on a set of rules combining classification criteria based on the spectral signatures, shape of objects, and contextual relationships among objects.…”

Section: Buildings' Rooftop Geodatabasementioning

confidence: 99%

Exploring Rooftop Rainwater Harvesting Potential for Food Production in Urban Areas

et al. 2017

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Homegrown fruits and vegetables are gaining popularity in many metropolitan areas with several facets connected to the wider urban agriculture phenomenon. At the same time, the relationship between urban food production and irrigation water is pivotal in terms of resource management. In this paper, we investigated water savings through the collection and use of harvestable rainwater from buildings' rooftops to irrigate 2631 fruits and vegetables gardens in the urban area of Rome (Italy). The methodology makes use of existing geospatial data and data derived from satellite image classification to estimate food gardens' irrigation requirements and harvestable rainwater from nearby buildings' rooftops. The comparison of the annual harvestable rainwater with irrigation needs allowed for computing the proportion of water self-sufficient gardens as well as the amount of gardens whose water needs might be partially fulfilled with rainwater. Statistics were produced by land use type (horticulture, mixed crops, olive groves, orchards, and vineyards) and under the hypothesis that irrigation systems with low and high field application efficiency might be employed. We found that 19% and 33% of the gardens could be water self-sufficient for the low and high irrigation efficiency scenario, respectively. The remaining gardens, by using the available rainwater, could satisfy 22% (low efficiency) and 44% (high efficiency) of the water needs resulting in a reduction in the use of conventional water sources.

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Section: Buildings' Rooftop Geodatabasementioning

confidence: 99%

Exploring Rooftop Rainwater Harvesting Potential for Food Production in Urban Areas

et al. 2017

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“…Remote sensing is an important tool for risk mitigation and management of natural disasters (Van Westen 2000; Baiocchi et al 2010Baiocchi et al , 2014; Furtun a & Holobȃc a 2013; . Multispectral images are used in various fields for rapid feature identification over large areas; furthermore, the short time interval in image capturing allows for the temporal analysis and monitoring of feature variations (Coppin & Marvin 1996;Lu et al 2004;Sonka et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Use of aerial multispectral images for spatial analysis of flooded riverbed-alluvial plain systems: the case study of the Paglia River (central Italy)

Brigante

Cencetti

Rosa

et al. 2017

Geomatics, Natural Hazards and Risk

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Image processing and classification techniques are widely used for land use definition. They can also provide interesting applications in fluvial geomorphology, for outlining morpho-sedimentary features (bars, channels, banks and floodplain) at various temporal stages, in order to monitor the evolution of river systems. Frequent monitoring is especially important for streams, in terms of flood risk in urban areas. This study shows how techniques of supervised analysis can be applied to river systems, also under particular conditions, like after flood events (when large portions of riverbed and alluvial plain are covered with mud). The procedure starts from the classical photogrammetric techniques, based on multispectral classification, and goes on with post processing operations of pixel aggregation and shadow treatment. The classification also uses the elevation information provided by Digital Surface Model produced by photogrammetry. This paper introduces a new technique of remote sensing in fluvial areas that allows for both the identification and classification of the fluvial features in a post flooding condition. Application of the procedure over time permits the evolution of the fluvial dynamics to be monitored in an accurate and inexpensive way, particularly for flood event conditions which lead to major changes in the dynamics of riverbeds.

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“…Pan-sharpening is a techniques that allows to combine panchromatic and multispectral data to create new multispectral images with the geometric resolution of panchromatic band and colour depth of the multispectral bands (Zhang, 2012). It is always used when thematic information have to be extracted from VHR images in manual or automatic (Baiocchi, 2014) procedures. For this project, different pansharpening methods were tested to obtain, for the specific use and the specific characteristics of the area, the best compromise to highlight the observable changes.…”

Section: Introductionmentioning

confidence: 99%

Pansharpening Techniques to Detect Mass Monument Damaging in Iraq

Baiocchi

Bianchi

Maddaluno

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The recent mass destructions of monuments in Iraq cannot be monitored with the terrestrial survey methodologies, for obvious reasons of safety. For the same reasons, it's not advisable the use of classical aerial photogrammetry, so it was obvious to think to the use of multispectral Very High Resolution (VHR) satellite imagery. Nowadays VHR satellite images resolutions are very near airborne photogrammetrical images and usually they are acquired in multispectral mode. The combination of the various bands of the images is called pan-sharpening and it can be carried on using different algorithms and strategies. The correct pansharpening methodology, for a specific image, must be chosen considering the specific multispectral characteristics of the satellite used and the particular application. In this paper a first definition of guidelines for the use of VHR multispectral imagery to detect monument destruction in unsafe area, is reported. The proposed methodology, agreed with UNESCO and soon to be used in Libya for the coastal area, has produced a first report delivered to the Iraqi authorities. Some of the most evident examples are reported to show the possible capabilities of identification of damages using VHR images.

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Automatic three-dimensional features extraction: The case study of L'Aquila for collapse identification after April 06, 2009 earthquake

Cited by 17 publications

References 25 publications

Exploring Rooftop Rainwater Harvesting Potential for Food Production in Urban Areas

Exploring Rooftop Rainwater Harvesting Potential for Food Production in Urban Areas

Use of aerial multispectral images for spatial analysis of flooded riverbed-alluvial plain systems: the case study of the Paglia River (central Italy)

Pansharpening Techniques to Detect Mass Monument Damaging in Iraq

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