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Nature, Place & People:Forging Connections through Neighbourhood Landscape Design

Authors: --- --- ---
ISBN: 9789813236035 Year: Pages: 216 DOI: 10.1142/10879 Language: English
Publisher: World Scientific Publishing Co.
Added to DOAB on : 2018-05-02 05:50:37
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Abstract

Neighbourhood landscapes are the quintessential forms of urban landscapes in most cities worldwide. They are pervasive, and hence experienced by the large majority of urban dwellers in their everyday life. More than parks, nature reserves or nature areas which are visited as destinations, neighbourhood landscapes provide the most immediate, frequent and convenient form of nature experienced by urban dwellers on a daily basis. They are also valuable as social spaces to bring residents together, foster social ties, and strengthen communities. Despite their importance, surprisingly little has been written to guide the planning and design of neighbourhood landscapes.This book is written for a specific purpose, to illustrate how the design of neighbourhood landscapes helps to deliver more benefits for urban dwellers and, at the same time, protect ecosystems that facilitate human well-being. This is in turn important as the synergistic relationships between human well-being, quality of biophysical urban environment, and health of human–environment interactions fundamentally underpin urban sustainability. The authors emphasize the role neighbourhood landscapes play in forging connections between people and nature, people and people, and people and place. Most of all, the book highlights the role of focusing on people in this endeavour, as it is only when landscapes are appropriately designed, and when people recognize these benefits, that they become valued and protected as a community resource.This book is organized into two parts. Part 1 focuses on the conceptual foundations that underpin the neighbourhood landscape design guidelines being developed. In this section, the authors describe the key concepts relating functions of neighbourhood landscapes to the key urban development goals of sustainability, liveability and reliance; how they can be represented in a framework; and how a synthesis of current knowledge of cities as socio-ecological systems helps to identify principles that can guide the designing of neighbourhood landscapes. Part 2 is more application focused, and is centred on neighbourhood landscape design guidelines inspired by the concept of ecosystem services. The guidelines consist of design approaches, practical strategies, design targets and performance monitoring indicators for tracking the performance of neighbourhood landscapes. The book is written for readers in academia and design practice, and anyone who has a role in shaping neighbourhood landscapes for the benefit of urban dwellers.

Extreme Floods and Droughts under Future Climate Scenarios

Authors: --- ---
ISBN: 9783039218981 9783039218998 Year: Pages: 174 DOI: 10.3390/books978-3-03921-899-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Meteorology and Climatology
Added to DOAB on : 2019-12-09 11:49:16
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Hydroclimatic extremes, such as floods and droughts, affect aspects of our lives and the environment including energy, hydropower, agriculture, transportation, urban life, and human health and safety. Climate studies indicate that the risk of increased flooding and/or more severe droughts will be higher in the future than today, causing increased fatalities, environmental degradation, and economic losses. Using a suite of innovative approaches this book quantifies the changes in projected hydroclimatic extremes and illustrates their impacts in several locations in North America, Asia, and Europe.

Remote Sensing for Target Object Detection and Identification

Authors: --- ---
ISBN: 9783039283323 9783039283330 Year: Pages: 336 DOI: 10.3390/books978-3-03928-333-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geography
Added to DOAB on : 2020-04-07 23:07:09
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Target object detection and identification are among the primary uses for a remote sensing system. This is crucial in several fields, including environmental and urban monitoring, hazard and disaster management, and defense and military. In recent years, these analyses have used the tremendous amount of data acquired by sensors mounted on satellite, airborne, and unmanned aerial vehicle (UAV) platforms. This book promotes papers exploiting different remote sensing data for target object detection and identification, such as synthetic aperture radar (SAR) imaging and multispectral and hyperspectral imaging. Several cutting-edge contributions, which provide examples of how to select of a technology or another depending on the specific application, will be detailed.

Keywords

anomaly detection --- hyperspectral imagery --- low-rank representation --- dictionary construction --- HSI reconstruction --- sparse coding --- adaptive weighting --- infrared small target detection --- local prior analysis --- nonconvex tensor robust principle component analysis --- partial sum of the tensor nuclear norm --- low rank sparse decomposition --- Lp-norm constraint --- non-convex optimization --- alternating direction method of multipliers --- infrared small target detection --- convolutional neural networks (CNNs) --- object detection --- remote sensing images --- contextual information --- part-based --- multi-model --- very-high-resolution (VHR) remote sensing imagery --- object detection --- multi-scale pyramidal features --- multi-scale strategies --- oil tank detection --- unsupervised saliency model --- Color Markov Chain --- bottom-up and top-down --- hazard prevention --- flood hazard --- hidden danger identification --- tower failure --- vehicle detection --- object matching --- superpixel segmentation --- unmanned aerial vehicle --- remote sensing imagery --- thermal infrared target tracking --- semantic features --- mask sparse representation --- particle filter framework --- ADMM --- satellite videos --- region proposals --- convolutional neural networks --- tiny and dim target detection --- component mixture model --- object detection --- remote sensing image --- deep learning --- convolutional neural networks (CNNs) --- hardware architecture --- processor --- ground-based detection --- infrared imaging --- observability --- detecting distance --- earth entry vehicle --- synthetic aperture radar (SAR) --- rivers water-flow elevation estimation --- pixel-tracking --- phase unwrapping --- infrared small-faint target detection --- non-independent and identical distribution (non-i.i.d.) mixture of Gaussians --- flux density --- variational Bayesian --- target detection --- target identification --- SAR --- visible --- infrared --- hyperspectral

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