Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data

Bassani, Cristiana; Cavalli, Rosa Maria; Cavalcante, Francesco; Cuomo, V.; Palombo, Angelo; Pascucci, Simone; Pignatti, Stefano

doi:10.1016/j.rse.2007.01.014

Cited by 79 publications

(66 citation statements)

References 39 publications

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“…The requirements of the application field in combination with the selected sensor provides the framework for the selected image processing methods that are used to derive the desired information [39]. [41], vegetation density [42], landscape metrics [43][44][45] Building and vegetation structure [12,46], biotope mapping [47] Urban land cover materials [7,8], imperviousness [6] Local mapping of build up area, imperviousness, vegetation density [48], material mapping [4,24], urban structure mapping, biotope mapping [49] Urban growth assessment Built up area, land cover change [50][51][52][53] Change detection at building level [54] Change detection at building/material level [55] [56,57] Identification of hazardous materials [58,59] [61,62] Building and vegetation structure [46] material-based land cover, building and vegetation structure [17,63] …”

Section: Application Fields Of Urban Remote Sensingmentioning

confidence: 99%

“…Hyperspectral data can also be used to detect hazardous materials, such as asbestos [58,59]. Marino et al [86] analyzed the interactions between natural risks, industrial installations, agricultural areas, water resources and urban settlements.…”

Section: Risk and Vulnerability Assessmentmentioning

confidence: 99%

“…In addition to the physical and chemical properties of a surface material, there are several other factors that may influence the spectra of urban surface materials (e.g., [4,59]). For example, the effects of aging are an important research topic.…”

Section: Hyperspectral Approachesmentioning

confidence: 99%

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Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

et al. 2011

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With urban populations and their footprints growing globally, the need to assess the dynamics of the urban environment increases. Remote sensing is one approach that can analyze these developments quantitatively with respect to spatially and temporally large scale changes. With the 2015 launch of the spaceborne EnMAP mission, a new hyperspectral sensor with high signal-to-noise ratio at medium spatial resolution, and a 21 day global revisit capability will become available. This paper presents the results of a literature survey on existing applications and image analysis techniques in the context of urban remote sensing in order to identify and outline potential contributions of the future EnMAP mission. Regarding urban applications, four frequently addressed topics have been identified: urban development and planning, urban growth assessment, risk and vulnerability assessment and urban climate. The requirements of four application fields and associated image processing techniques used to retrieve desired parameters and create geo-information products have been reviewed. As a result, we identified promising research directions enabling the use of EnMAP for urban studies. First and foremost, research is required to analyze the spectral information content of an EnMAP pixel used to support material-based land cover mapping approaches. This information can subsequently be used to improve urban indicators, such as imperviousness. Second, we identified the global monitoring of urban areas as a promising field of investigation taking advantage of EnMAP's spatial coverage and revisit capability.Remote Sens. 2011, 3 1818However, owing to the limitations of EnMAPs spatial resolution for urban applications, research should also focus on hyperspectral resolution enhancement to enable retrieving material information on sub-pixel level.

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Section: Application Fields Of Urban Remote Sensingmentioning

confidence: 99%

Section: Risk and Vulnerability Assessmentmentioning

confidence: 99%

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Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

et al. 2011

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“…2009) in the last fifteen years. As for urban applications, for example, the mapping of asbestos-containing roofs, Bassani, C. et al (2007) and Szabó, Sz. et al (2014) should be mentioned.…”

Section: Introductionmentioning

confidence: 99%

“…They highlighted that the application of hyperspectral images in contrast with time-consuming field validation is promising for ecological urban planning. However, a relatively small number of spectral libraries are available for urban land cover (Bassani, C. et al 2007) and the commonly used materials have different spectral characteristics in different regions.…”

Section: Introductionmentioning

confidence: 99%

The evaluation and application of an urban land cover map with image data fusion and laboratory measurements

et al. 2017

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High spatial and spectral resolution aerial images make it possible to develop detailed and large-scale (about 1:5,000) urban land cover maps. The main objectives of this study are (1) to evaluate the correlation between laboratory and hyperspectral image spectra to select proper bands and training samples for classification; (2) to develop a classification process to combine the spectral and spatial information of multispectral and hyperspectral images and make an urban land cover map for the study area in Szeged, Hungary; and (3) to examine the effect of different roof types on the modification of surface temperature. Reference materials were collected from the training area and their spectral characteristics were measured by a laboratory spectrometer. The hyperspectral image and laboratory spectral data between 500-800 nm showed a very strong correlation, the correlation coefficient was 0.99. The urban land cover map was produced by the combination of segmentation procedure and Spectral Angle Mapper (SAM) method using the spatial information derived from multispectral image and the spectral information of the hyperspectral image. Eight land cover classes were identified as impervious surfaces (asphalt, 4 types of tiled roof), water, and green vegetation. The overall accuracy of urban land cover map was 87.9 per cent. According to the results, an accurate large-scale urban land cover map can be generated from the fusion of multispectral and hyperspectral images. We presented that certain roof types have significant effect on surface temperature, which is strongly connected to the urban heat island phenomenon, and influences population health.

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Review of High Resolution Thermal Infrared Applications and Requirements: The Fuegosat Synthesis Study

Sobrino

Frate

Drusch

et al. 2013

Thermal Infrared Remote Sensing

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Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data

Cited by 79 publications

References 39 publications

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey

The evaluation and application of an urban land cover map with image data fusion and laboratory measurements

Review of High Resolution Thermal Infrared Applications and Requirements: The Fuegosat Synthesis Study

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