Delimiting the building heights in a city from the shadow in a panchromatic SPOT-image—Part 1. Test of forty-two buildings

Cheng, Fuhua; Thiel, K.

doi:10.1080/01431169508954409

Cited by 58 publications

(35 citation statements)

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“…This type of method is theoretically and mathematically the easiest and was developed first. Other methods have been used to estimate building heights by measuring two other building imaging parameters, the building azimuth and shadow length normal to building strike/trend [47,50,86,90,91]. However, it is difficult and often impractical to apply these two types of methods to large areas containing a large number of buildings.…”

Section: Determining Building Heightsmentioning

confidence: 99%

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An Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-Scale Estimation of Seismic Loss Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China

Zhang

et al. 2015

Remote Sensing

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Rapid socioeconomic development in earthquake-prone areas can cause rapid changes in seismic loss risks. These changes make it difficult to ensure that risk reduction strategies are realistic, practical and effective over time. To overcome this difficulty, ongoing changes in risk should be captured timely, definitively, and accurately and then specific and well-timed adjustments of the relevant strategies should be made. However, methods for rapidly characterizing such seismic disaster risks over a large area have not been sufficiently developed. By focusing on building loss risks, this paper presents the development of an integrated method that combines remote sensing data and local OPEN ACCESSRemote Sens. 2015, 7 2544 knowledge to resolve this problem. This method includes two key interdependent steps.(1) To extract the heights and footprint areas of a large number of buildings accurately and quickly from single high-resolution optical remote sensing images; (2) To estimate the floor areas, identify structural types, develop damage probability matrixes, and determine economic parameters for calculating monetary losses due to seismic damage to the buildings by reviewing building-relevant local knowledge based on these two parameters (i.e., the building heights and footprint areas). This method is demonstrated in the Tangshan area of China. Based on the integrated method, the total floor area of the residential and public office buildings in central Tangshan in 2009 was 3.99% lower than the corresponding area number obtained by a conventional earthquake loss estimation project. Our field-based verification indicated that the mean relative error of the method for estimating the floor areas of the assessed buildings was 2.99%. A simulation of the impacts of the 1976 Ms 7.8 Tangshan earthquake using this method indicated that the total damaged floor area of the residential and public office buildings and the associated direct monetary loses in the study area could have been 8.00 and 28.73 times greater, respectively, than in 1976 if this earthquake had recurred in 2009, which is a strong warning to the local people regarding the increasing challenges they may face.

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Section: Determining Building Heightsmentioning

confidence: 99%

“…One method is to use stereo Hr-ORSI pairs [80][81][82][83][84][85], and the other method is to use the shadows of buildings from a single Hr-ORSI [33,37,[86][87][88]. Earlier studies have shown that using stereo Hr-ORSI pairs results in more accurate height estimates.…”

Section: Determining Building Heightsmentioning

confidence: 99%

An Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-Scale Estimation of Seismic Loss Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China

Zhang

et al. 2015

Remote Sensing

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“…Basados en Cheng [6], podemos señalar que las alturas de los edificios pueden ser calculadas a partir del conocimiento de la longitud de la sombra que proyectan, del ángulo de elevación solar de la imagen, y de la pendiente del terreno. Sin embargo, para el caso de la ciudad de Arica, la pendiente es intrascendente para este cálculo, ya que la planicie donde se localiza no posee diferencias de altura significativas.…”

Section: Cálculo De La Altura De Las Edificacionesunclassified

Uso De Imágenes Satelitales De Alta Resolución Para Generar Cartografía

Zavala

Zavala²

2002

Rev. Fac. Ing. - Univ. Tarapacá

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Recibido el 29 de noviembre de 2001, aceptado el 23 de julio de 2002 RESUMENSe presenta la metodología aplicada en la ciudad de Arica, Norte de Chile, para generar cartografía de altura de construcciones, mediante el análisis digital de una imagen satelital de alta resolución. Para ello, nos basamos en el cálculo de la longitud de las sombras que se derivan de distintas edificaciones, y del azimut solar de una imagen IRS 1C, que fue remuestreada mediante convolución cúbica a 5 metros. Este trabajo está basado fundamentalmente en los logros alcanzados en el desarrollo de la tesis doctoral de uno de los autores (1), y que se refirió al a nálisis de vulnerabilidad sísmica mediante técnicas de Sistema de Información Geográfico (S.I.G.) y Teledetección. Los resultados logrados creemos permitirán obtener cartografía resultante, que esperamos sea útil para la gestión territorial a nivel intraurbano.Palabras Claves: Teledetección, S.I.G., construcciones ABSTRACT This paper describes the methodology used, to generate building height cartography, through the analysis of high resolution satellite images of the city of Arica INTRODUCCIÓNEn los últimos 10 años, la bibliografía de gestión de riesgos naturales ha señalado a la vulnerabilidad, como la variable a intervenir en la disminución de un riesgo natural específico, la que según Blaikie puede ser entendida como "las características de individuos o grupos de personas, en términos de su capacidad de anticipar, enfrentar, resistir, y recuperarse del impacto de un peligro natural. Involucra una combinación de factores determinados por su nivel de vida, que los exponen a un riesgo" [1]. En el caso sísmico, ésta puede ser definida como la capacidad de respuesta de la población ante la presencia de un sismo. Por ello, y siguiendo la idea de Seaman (1984), las características específicas de construcción de viviendas y edificios, deben necesariamente ser incorporados en todo estudio de vulnerabilidad sísmica, destacando entre ellas las alturas de las construcciones como una variable de fragilidad constructiva [2].Desde la perspectiva de la gestión del riesgo sísmico, lo que interesa es poder disponer de información intraurbana, confiable y actualizada, la que no siempre está disponible para este tipo de estudios. Ante esta necesidad, en los últimos años ha ido aumentando el uso de imágenes de satélite en estudios urbanos. Sin embargo, uno de los problemas fundamentales que tenían estas imágenes, estaba relacionado con la resolución espacial que poseían, ya que los objetos

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“…One solution for addressing this problem is to use the shadows that are cast by objects. Extraction of height information based on cast shadows is considered a well-established method for extracting buildings height from a 2D image (Adeline et al, 2013;Al-Najdawi, Bez, Singhai, & Edirisinghe, 2012;Cheng & Thiel, 1995;Tong et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

A GIS-based method for modeling urban-climate parameters using automated recognition of shadows cast by buildings

Peeters

2016

Computers, Environment and Urban Systems

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Delimiting the building heights in a city from the shadow in a panchromatic SPOT-image—Part 1. Test of forty-two buildings

Cited by 58 publications

References 3 publications

An Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-Scale Estimation of Seismic Loss Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China

An Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-Scale Estimation of Seismic Loss Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China

Uso De Imágenes Satelitales De Alta Resolución Para Generar Cartografía

A GIS-based method for modeling urban-climate parameters using automated recognition of shadows cast by buildings

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