Assessment of urban environmental quality in a subtropical city using multispectral satellite images
نویسندگان
چکیده
Urban environmental quality (UEQ) is a complex and spatially variable parameter of increasing concern, especially in densely populated cities of the tropics and subtropics where climate, air quality, and the urban infrastructure may interact to produce uncomfortable and hazardous effects. The study investigates the application of multispectral remote sensing from the Landsat ETM and IKONOS satellite sensors for the mapping of UEQ in urban Hong Kong at a detailed level, using the measurable, image-based parameters of temperature and biomass, and examines the relationship between these and air quality in selected study districts. Multiple-criteria queries on these two parameters show that spatial variations in UEQ are closely related to natural topographic factors and urban morphology. The amount of biomass, as opposed to total area of vegetation, is also shown to be an important factor in the spatial variation of UEQ. The data permit visualisation of the relationship between the human and natural factors involved in UEQ and generate recommendations for future planning and urban-renewal projects. DOI:10.1068/b31195
منابع مشابه
Mapping and Modeling of Urban Environmental Quality in Hong Kong
This paper demonstrates the application and usage of current remote sensing techniques for estimating and depicting Urban Environmental Quality at detailed level from satellite images. Temperature data derived from Landsat ETM+, Vegetation Index derived from high resolution IKONOS multispectral images, digitized data of the city urban infrastructure and 3-D virtual reality models were integrate...
متن کاملAutomatic Road Detection and Extraction From MultiSpectral Images Using a New Hierarchical Object-based Method
Road detection and Extraction is one of the most important issues in photogrammetry, remote sensing and machine vision. A great deal of research has been done in this area based on multispectral images, which are mostly relatively good results. In this paper, a novel automated and hierarchical object-based method for detecting and extracting of roads is proposed. This research is based on the M...
متن کاملCoastal water quality assessment based on the remotely sensed water quality index using time series of satellite images
This study was conducted with the aim of providing a remotely sensed water quality index in Assaluyeh port using remote sensing technology. so, according to the region conditions, studying of scientific resources and access to satellite data, the parameters of heavymetals, dissolved ions, SST, chlorophyll-a and pH were selected. Then, by reviewing sources, the product MYD091km, MYD021km, MOD02...
متن کاملApplication of High Spatial Resolution Satellite Imagery for Urban Environment Mapping
The aim of the study is to develop automatic procedures for the identification of urbanized and not urbanized areas using high spatial resolution remote sensing data. We examine the potential of panchromatic and multispectral Quickbird images for the classification of different urban areas in the Province of Milan (Italy). Satellite data were initially pre-processed by using an orthorectificati...
متن کاملFusion of Panchromatic and Multispectral Images Using Non Subsampled Contourlet Transform and FFT Based Spectral Histogram (RESEARCH NOTE)
Image fusion is a method for obtaining a highly informative image by merging the relative information of an object obtained from two or more image sources of the same scene. The satellite cameras give a single band panchromatic (PAN) image with high spatial information and multispectral (MS) image with more spectral information. The problem exists today is either PAN or MS image is available fr...
متن کامل