The Experts below are selected from a list of 25251 Experts worldwide ranked by ideXlab platform
Paolo Gamba - One of the best experts on this subject based on the ideXlab platform.
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On the effect of nonlinear mixing in hyperspectral images of Human Settlements
2015 Joint Urban Remote Sensing Event (JURSE), 2015Co-Authors: Andrea Marinoni, Paolo GambaAbstract:In this paper, the nonlinear contribution of Human Settlements to mixture in hyperspectral images is investigated. Specifically, a method that aims to efficiently evaluate and estimate the extent of urban areas by taking advantage of the results provided by polynomial nonlinear unmixing based on polytope decomposition is proposed. Tests over real images shows how the proposed scheme can actually highlight anthropogenic extents over geometrically complex scenarios.
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Exploiting spatial and wavelength information in dual-frequency SAR mapping of Human Settlements and their surrounding environment in the Amazons
2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS), 2012Co-Authors: Paolo Gamba, Gianni LisiniAbstract:This paper shows the first results of a partially supervised approach to dual-frequency SAR data classification in the Amazons. The target is not only to detect and extract Human settlement extents and their features, but also to capture the surrounding environment with accuracy values comparable to manually digitized map. The results in the test area of Paragominas (Brazil) show that Human Settlements extents can be mapped to excellent levels, detecting critical areas in the manually digitized maps. Less accurate results may be achieved outside these Settlements, and require a more complex and refined approach.
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Foreword to the Special Issue on “Human Settlements: A Global Remote Sensing Challenge”
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2011Co-Authors: Paolo Gamba, Peijun Du, Carsten Juergens, Derya MaktavAbstract:This special issue follows the one in June 2008 and is related to the very successful series of the Joint Urban Remote Sensing Events, held every two years since 2005. Remote sensing of urban areas is at the moment facing a rapid development, due to the increasing amount of High Resolution (UR) and Very High Resolution VHR (VHR) data in both the optical/IR and microwave regions of the electromagnetic spectrum. On a global scale, Human Settlements have always been the focus of interest, but only in these days there starts to be an interest in mapping and monitoring even small and informal ones by satellites. Coherently, urban area mapping is moving from basic land cover to more complex land use maps, and Human settlement environmental monitoring is committed to a more and more integrated use of remote sensing and in situ data. By presenting excellent papers on these subjects, this special issue tries and provides an overview of the state-of-the-art in this interesting field of applied earth observation and remote sensing.
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Introduction to the Issue on Remote Sensing of Human Settlements: Status and Challenges
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2008Co-Authors: Paolo Gamba, Florence Tupin, Qihao WengAbstract:The variety of Human Settlements and their spatial characteristics can be captured by means of remote sensors on board of airborne and/or satellite platforms. Urban remote sensing, however, is much more than visual display or even interpretation and analysis of these images. Quantitative evaluation of physical properties such as land covers and material status, as well as the inference of further information such as land uses, are at the core of this research field. This issue tries and shows some of the innovative researches going on and provides an overview of the state-of-the-art. It also describes some of the challenges to be faced in the near future.
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Spatial Indexes for the Extraction of Formal and Informal Human Settlements From High-Resolution SAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2008Co-Authors: Mattia Stasolla, Paolo GambaAbstract:In this paper, a novel procedure for extracting Human settlement extent in high-resolution SAR images, based on local autocorrelation and morphological processing, is presented. The algorithm is based on two steps. Hints for Human Settlements by information fusion based on local indexes of spatial autocorrelation are the outputs of the first step. A morphological chain builds on top of them the final Settlements' borders. Examples from very different areas, i.e., the Darfur region in Sudan and the Lombardy region in Italy, stress the robustness of the procedure as well as its effectiveness.
T Ramoroka - One of the best experts on this subject based on the ideXlab platform.
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Building safer urban Human Settlements in South Africa: A case of the National Development Plan 2030
Journal of Public Administration, 2012Co-Authors: T RamorokaAbstract:outh Africa is faced with a variety of development challenges, one of which relates to crime. In response to the persistent and unacceptable high rates of crime, among other challenges, the National Development Plan (NDP) 2030 was published in August 2012. Regarding safety and security within South S Africa’s Human Settlements, the NDP 2030 provides strategies for crime reduc- tion and prevention. However, the NDP 2030 accords negligible attention to the Crime Prevention through Environmental Design (CPTED) as a crime reduc- tion and prevention strategy, especially for congested built urban environments. Theoretically, there is a significant direct relationship between congested, built urban environments and crime rate. Consequently, the CPTED is increasingly accepted and used as one of the key tools for crime reduction and prevention in most developed and developing countries. This article argues that the CPTED has the ability to create safe Human Settlements by using built environment as an instrument of crime governance, specifically at local level. Built environment is significant in influencing perceptions of safety as well as reducing the costs of providing security through police and private security services, which the NDP 2030 promotes. Theoretically, the article demonstrates that the CPTED can be used as an effective strategy in reducing and preventing crime in South Africa if it were to be incorporated into the NDP 2030 strategies. The article asserts that environmental planning and design techniques can be effectively and efficiently applied in governance of crime reduction and prevention within congested, built-up urban localities
Pengfei Li - One of the best experts on this subject based on the ideXlab platform.
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china s rural Human Settlements qualitative evaluation quantitative analysis and policy implications
Ecological Indicators, 2018Co-Authors: Xia Zhao, Bin Chen, Pengfei LiAbstract:Abstract Building a beautiful and livable countryside is essential to farmers’ wellbeing, contributing to the development of New Socialist Countryside in China. Few of the existing studies have established a sound theoretical framework to evaluate rural Human Settlements from the perspective of farmers, who are the major beneficiaries of the rural Human Settlements. Therefore, this paper establishes a theoretical framework to evaluate both hard and soft rural Human Settlements qualitatively and quantitatively. Based on surveys from 6 provinces (cities) in central and eastern China, the theoretical framework is tested using Structural Equation Model (SEM). The empirical results show that the surveyed farmers are vaguely unsatisfied with their local rural Human Settlements, making improvement a must. Moreover, there is a significant correlation between rural sanitation, housing condition, rural infrastructure, farmers’ economic burden, social services and rural Human Settlements, with rural sanitation and social services ranking at the top among the hard and soft Human settlement indexes, respectively. Thus, the government should prioritize rural sanitation and social services to improve hard and soft Human Settlements, respectively. The discussions in this paper could provide solid foundations for policy makers to effectively improve rural Human Settlements.
Markus Schatten - One of the best experts on this subject based on the ideXlab platform.
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agent based framework for modeling and simulation of resources in self sustainable Human Settlements a case study on water management in an eco village community in croatia
International Journal of Sustainable Development and World Ecology, 2016Co-Authors: Igor Tomicic, Markus SchattenAbstract:ABSTRACTA newly developed agent-based framework for modeling, simulation, and evaluation of resource management in self-sustainable Human Settlements is presented, along with the ability of the framework to prolong the self-sustainability of the observed Human settlement system in the simulation environment. In this study the focus is on the analysis of a conducted water management simulation based on observations of an existing eco-village in Croatia, in the context of producing, storing, and consuming water as a resource. The conducted research shows that the developed framework was able to prolong the self-sustainability of localized water production, storage, and consumption dynamics when managing the water allocation with the use of self-sustainability mechanisms, in comparison to water management without using such mechanisms, under the same initial conditions. The work is placed within the context of sustainable development, Internet of Things, as well as Environmental Internet of Things areas of r...
Stefan Dech - One of the best experts on this subject based on the ideXlab platform.
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breaking new ground in mapping Human Settlements from space the global urban footprint
Isprs Journal of Photogrammetry and Remote Sensing, 2017Co-Authors: Thomas Esch, Wieke Heldens, Andreas Hirner, Manfred Keil, Mattia Marconcini, Achim Roth, Julian Zeidler, Stefan DechAbstract:Abstract Today, approximately 7.2 billion people inhabit the Earth and by 2050 this number will have risen to around nine billion, of which about 70% will be living in cities. The population growth and the related global urbanization pose one of the major challenges to a sustainable future. Hence, it is essential to understand drivers, dynamics, and impacts of the Human Settlements development. A key component in this context is the availability of an up-to-date and spatially consistent map of the location and distribution of Human Settlements. It is here that the Global Urban Footprint (GUF) raster map can make a valuable contribution. The new global GUF binary settlement mask shows a so far unprecedented spatial resolution of 0.4 ″ ( ∼ 12 m ) that provides – for the first time – a complete picture of the entirety of urban and rural Settlements. The GUF has been derived by means of a fully automated processing framework – the Urban Footprint Processor (UFP) – that was used to analyze a global coverage of more than 180,000 TanDEM-X and TerraSAR-X radar images with 3 m ground resolution collected in 2011–2012. The UFP consists of five main technical modules for data management, feature extraction, unsupervised classification, mosaicking and post-editing. Various quality assessment studies to determine the absolute GUF accuracy based on ground truth data on the one hand and the relative accuracies compared to established Settlements maps on the other hand, clearly indicate the added value of the new global GUF layer, in particular with respect to the representation of rural settlement patterns. The Kappa coefficient of agreement compared to absolute ground truth data, for instance, shows GUF accuracies which are frequently twice as high as those of established low resolution maps. Generally, the GUF layer achieves an overall absolute accuracy of about 85%, with observed minima around 65% and maxima around 98%. The GUF will be provided open and free for any scientific use in the full resolution and for any non-profit (but also non-scientific) use in a generalized version of 2.8 ″ ( ∼ 84 m ). Therewith, the new GUF layer can be expected to break new ground with respect to the analysis of global urbanization and peri-urbanization patterns, population estimation, vulnerability assessment, or the modeling of diseases and phenomena of global change in general.
