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Role of urban planning and management in Hyderabad is becoming more and more
crucial due to the dramatic increase in urban population and allied urban
problems. Hyderabad is experiencing a rapid urbanization rate. Urbanization
contributes many advantages in terms of economics, but if uncontrolled, would
produce negative consequences to the physical...
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Role of urban planning and management in Hyderabad is becoming more and more crucial due to the dramatic increase in urban population and allied urban problems. Hyderabad is experiencing a rapid urbanization rate and becoming one of most developed
cities in India. Urbanization contributes many advantages in terms of economics, but if
uncontrolled,...
This study examined the integration of Remote Sensing and Geographic Information System (RS/GIS) for analyzing land use and land cover dynamics in Gombe Metropolitan, the Gombe State capital for the period 1976 to 2016. Land sat (TM) images of 1976, 1996and 2016 were used. The study employed supervised digital image classification method using Erda...
Resumen Una de las principales preocupaciones dentro de los estudios en Tecnologías de In-formación Geográfica es el desarrollo de metodologías reproducibles en diferentes ciudades que contribuyan al análisis del proceso de urbanización. El objetivo de este trabajo es proponer una nueva metodología que permita extraer la superficie edificada del ár...
This study examined the integration of Remote Sensing and Geographic Information System (RS/GIS) for analyzing land use in Jalingo Region, Taraba State for the period 1996 to 2016; the image of 1996, 2006 and 2016 was used. The study employed a supervised digital image classification method using Arc GIS 10.3 software and classified the land use in...
Globally, the amount of green space in urban areas has significantly decreased because of fast urban expansion. Urbanization may modify the spatial structure of a landscape and have an impact on its ecological function. The research aims to quantify the landscape structure changes of green space in the years 1994, 2004, and 2014 in Pasir Mas using...
Citations
... Geographic Information System (GIS) has proven itself as a useful tool in identifying and mitigating the hazards [38,39]. Various thematic maps can be prepared by using remote sensing and GIS techniques [41]. The spatial analyst extension employs one of several interpolation tools to create surface grid in ArcGIS [42]. ...
Quantification of environmental pollution risk (EPR) induced by open dumping practice of municipal solid waste (MSW) is important to improve MSW management practices and to provide effective countermeasures for mitigating EPR at the MSW open dumping site. This study targeted an open dumping site at Karadiyana, Western province of Sri Lanka and aimed to assess EPR by using geographical and hydrological information, water (landfill leachate and surface water) and soil quality monitoring for samples collected at the pollutant source (i.e., MSW dumping site) and its surrounding with monthly interval from June to December 2019 to cover both wet and dry periods. The maps of EPR induced by the pollutant source were visualized by analysing measured physicochemical parameters including heavy metals incorporating with interpolation and weighted overlay techniques of geographic information system (GIS). Results showed that the EPR mapharacterized well spatial distribution and seasonal variation of pollutants from the source. Especially, it was found that the pollutants flowed towards the Northwest and North from the pollutant source at the investigated site. It was also found that higher concentrations of phosphorous and heavy metals were observed from landfill leachate samples in dry season than those in wet season. The findings in this study raise the mapping of EPR would contribute to take actions for establishing environmental sound waste disposal and to promote sustainable MSW management practice in Sri Lanka.
... De forma geral, as análises do potencial do sensoriamento para detalhamento dos alvos urbanos são recorrentes (AKANBI; KUMAR;FIDELIS, 2013;HAAS et al., 2018;MUSHOREA et al., 2017). Contudo, devido às características das áreas urbanas, as imagens orbitais precisam apresentar alta resolução espacial. ...
... De forma geral, as análises do potencial do sensoriamento para detalhamento dos alvos urbanos são recorrentes (AKANBI; KUMAR;FIDELIS, 2013;HAAS et al., 2018;MUSHOREA et al., 2017). Contudo, devido às características das áreas urbanas, as imagens orbitais precisam apresentar alta resolução espacial. ...
Resumo As análises da dinâmica de alteração nos padrões de uso e ocupação do solo, que são importantes no planejamento de áreas urbanas, podem ser realizadas de forma indireta por meio de imagens orbitais de sensoriamento remoto. As imagens orbitais têm se revelado importantes ferramentas para medir e monitorar as atividades humanas na Terra. Desse modo, este artigo tem como objetivo mapear as áreas de entorno do Passeio das Águas Shopping, situado na região norte de Goiânia, GO, atribuindo a ele a condição de polo gerador de viagens (PVG). Assim, foi avaliada a dinâmica de alteração de uso e cobertura do solo em seu entorno. A metodologia empregada teve como base o processamento digital de imagens orbitais em ambiente de sistema de informação geográfica (SIG). Os resultados revelaram que, em um intervalo de 10 anos, houve redução da área de vegetação e aumento significativo das áreas pavimentada e construída, a ponto de promover mudanças significativas no padrão de uso do solo após a implementação do PGV.
... Remote sensing and the Geographic Information System (GIS) play important roles in providing spatial analysis and temporal archive data that can be used to monitor environmental conditions, especially developments of urban/builtup areas (e.g., Maktav et al. 2005;Gong et al. 2013;Sun et al. 2013). In addition, remote-sensing data can also cover large areas and are spatially and temporally consistent (Jat et al. 2008;Sun et al. 2013), for urban planning (Noor and Abdullah 2015;Akanbi et al. 2013), urban environmental degradation (Lu et al. 2019), Urban heat island monitoring (Chen et al. 2016), urban air quality (Yuan et al. 2018), and urban green space mapping (Chen et al. 2018). In addition, remote-sensing data can also cover large areas and are spatially and temporally consistent (Jat et al. 2008;Sun et al. 2013). ...
Spatial demand will increase when the population growth in an area. For sufficient space will occupy the surrounding land (periphery). This condition is known as urban sprawl. Urban sprawl is a complex phenomenon, as it affects social life and becomes a serious environmental problem. Environmental problems that occur because of the change in the land function of agriculture and forests into residential areas and commercial purposes. This study aims to conduct trend analysis of the spatial and temporal dynamics of urban/built-up areas during the periods 1990–2016. Integration of remote sensing, GIS, and Shannon’s entropy statistical approach was used to obtain information regarding dynamics change in the areas. The results of the trend entropy value analysis show that urban/built-up development is tending to spread, with increases in entropy values based on the region’s urban/built-up sub-watershed areas during the 1990–2016 periods of 1.464 and 1.597, respectively. Meanwhile, based on the radial distance from Bandung city, these are 1.511 and 1.737, respectively. The results of the relative entropy are equal to 0.151 in 1990, with an increase to 0.156 in 2016, based on the region’s urban/built-up area of the sub-watershed. Meanwhile, based on the radial distance from Bandung city, the values were 0.156 in 1990 and 0.170 in 2016. This study can be used as important benchmarks for planners, policymakers, and researchers regarding spatial planning in the study area. The results could also provide important inputs for sustainable land use plans and strategies to reduce disasters and flood hazards, as well as flood disaster vulnerability analysis of residential areas.
... Analysis of the current status of information technologies implementation in the urban economy management processes shows that Russia, like the world in general, already has certain experience in GIS development and operation. Urban information systems and their sub-systems are created and implemented in the cities of Moscow, Ufa, Perm, Novosibirsk, etc. Putting these systems into practice gives grounds for the following conclusions: 1) spatial information is the integrating basis, which gives an opportunity to take an integrated approach to the solution of economic, political, social and environmental problems in the territory of settlement because all urban management objectives are related to the location of objects, subjects and events in this territory [3]; 2) effective use of modern information technologies for planning, development and operation management of a settlement requires the creation of a single city-wide system for collection, storage and distributive processing of spatial public information [4]. ...
The goal of the research is to develop technological and software tools to create an urban geographic information system (UGIS). The research objectives are to develop the principles of creation of a single information space of the city and organize UGIS information resources. Moreover, the authors aim to develop UGIS conceptual architecture, principles of organization of UGIS geospatial data, as well as software, organization and technical support for creation and operation for UGIS. To address these objectives an expert survey method was used to define the conceptual architecture and UGIS software tools. Employees of municipal administration of Departments of Property and Land Relations, Departments of Construction Policy, as well as Chief Architects, were involved in the expert survey. According to the research results, an approach for building a UGIS based on single structured city-wide storage of base information resources has been developed. The conceptual architecture of the system and functions and means of its implementation have been proposed.
... Remote sensing with its advantages of spatial, spectral and temporal availability of data coverage of large and inaccessible areas within a short time has become a handy tool in assessing, monitoring and conserving urban greenery [10]. Satellite Remote Sensing, with its repetitive coverage together with multi-spectral scanner (MSS) capabilities is a powerful tool to map and monitor changes in the areas of analysis [11]. Satellite images enable us to better understand some of the intrinsic components of the ecosystem and the interactions within the whole environment. ...
Depending on the rapid growth in infrastructural developments along with the increasing of human population, quality of cities is being deteriorated globally. Assurance of environmental quality is essential for urban planning and developments. This paper presents the potential application of urban green areas as an indicator of urban environmental quality in Addis Ababa, Ethiopia based on indicators of natural parameters extracted from remotely sensed images, and socio-economic variables derived from census data. Physical environmental variables such as land-use/land-cover data, surface temperature, normalized difference vegetation index, and transformed remote sensing variables derived from three landsat images of 1986, 2000 and 2015 were analyzed for the present study. Socio-economic variables including population density and greenhouse gas emission in 2012 were used. Regression analysis, factor analysis and overlay analysis were performed after the two groups of variables were integrated. Four factors such as greenness, crowd, heat island and greenhouse gas emission were used for interpretation. By as-signing different weights to each of these factors and proportion of green areas, land-use/land-cover map, environmental risk map and environmental quality index map were generated. The results show deterioration of environmental quality in the study area. It is recommended that future studies should include more parameters to provide a holistic view of the changes in greenness of the city and to try to mitigate adverse effects of development activities leading to human density and depletion of green area in the city.
Keywords: GIS, Landsat, NDVI, Spatiotemporal Distribution, Urban Green Space
... Anuj Bariar et al. (2004) focused on the development of spatial data infrastructure at village level for a part of Allahabad district of Uttar Pradesh state under GIS environment. Akanbi et al. (2013) developed computerized user interactive conceptual model for Hyderabad city activities based thematic maps in an integrated GIS environment using Remote Sensing techniques on GIS platforms. Ramachandra et al., (2014) used remote sensing and GIS in landscape metrics, which aided in assessing the spatial structure and composition of the urban footprints through the zonal analysis and this study revealed that a significant variation in the composition of the urban cover dynamics with increasing complexity and aggregation of urban area at the centre and sprawl at the outskirts. ...
... Anuj Bariar et al. (2004) focused on the development of spatial data infrastructure at village level for a part of Allahabad district of Uttar Pradesh state under GIS environment. Akanbi et al. (2013) developed computerized user interactive conceptual model for Hyderabad city activities based thematic maps in an integrated GIS environment using Remote Sensing techniques on GIS platforms. Ramachandra et al., (2014) used remote sensing and GIS in landscape metrics, which aided in assessing the spatial structure and composition of the urban footprints through the zonal analysis and this study revealed that a significant variation in the composition of the urban cover dynamics with increasing complexity and aggregation of urban area at the centre and sprawl at the outskirts. ...
Landscape architecture is a systematic planning of land areas, the design of outdoor places and spaces, the conservation of natural resources and the creation of useful and pleasant living environment, which plan, design and management of both natural and built environments. Landscape planning of the city is with most scenic, ecological and recreational usage of the land. City planning includes design of outdoor public areas, land marks, and structures to achieve environmental, social-behaviour, or aesthetic outcomes using landscape architecture. The city planning consist of form, scale and sitting of new developments, parks, botanical gardens, arboretums, green ways and nature preserves, which enhance beauty of the city and attracts more tourists, so that tourism becomes a major contributor in increasing the economy of the city and also creates employment. The present study discusses the role of landscape architecture and floriculture in city planning using geographical information system (GIS). Hyderabad city, a capital of Telangana State, India is considered as a study area to develop the city plan by using advanced landscape architecture with floriculture. During the city planning, the study considers environmental and landscape assessment for proper planning and land management of city with ecological design, which minimize environmental destructive impacts by integrating ecological design with natural processes. The study take account of increasing recreational facilities such as theme parks, natural parks and recreate historical landscapes and garden appraisal with variety of flower species to develop the city. The study also concentrate on storm water management, including rainwater, green roofs and groundwater recharge to construct fountains, build green infrastructure and wetlands treatment, which bring additional beauty to the city and help in tourism development.
... Users of digital libraries need to be able to search for specific known items in the database and to retrieve relevant unknown items based on various criteria. This searching and retrieval has to be done efficiently and effectively, even when dealing with large scale of data [5], [24]. This implies that digital library objects must be properly indexed so that users can retrieve them by content. ...
A lot of information on the web is geographically referenced. Discovering and retrieving this geographic information to satisfy various users needs across both open and distributed Spatial Data Infrastructures (SDI) poses eminent research challenges. However, this is mostly caused by semantic heterogeneity in user’s query and lack of semantic referencing of the Geographic Information (GI) metadata. To addressing these challenges, this paper discusses an ontology based semantic enhanced model, which explicitly represents GI metadata, and provides linked RDF instances of each entity. The system focuses on semantic search, ontology, and efficient spatial information retrieval. In particular, an integrated model that uses specific domain information extraction method to improve the searching and retrieval of ranked spatial data
... Users of digital libraries need to be able to search for specific known items in the database and to retrieve relevant unknown items based on various criteria. This searching and retrieval has to be done efficiently and effectively, even when dealing with large scale of data [5], [24]. This implies that digital library objects must be properly indexed so that users can retrieve them by content. ...
A lot of information on the web is geographically referenced. Discovering and
retrieving this geographic information to satisfy various users needs across
both open and distributed Spatial Data Infrastructures (SDI) poses eminent
research challenges. However, this is mostly caused by semantic heterogeneity
in users query and lack of semantic referencing of the Geographic Information
(GI) metadata. To addressing these challenges, this paper discusses ontology
based semantic enhanced model, which explicitly represents GI metadata, and
provides linked RDF instances of each entity. The system focuses on semantic
search, ontology, and efficient spatial information retrieval. In particular,
an integrated model that uses specific domain information extraction to improve
the searching and retrieval of ranked spatial search results.
Large-factor image super-resolution (SR) is a challenging task due to the high uncertainty and incompleteness of the missing details to be recovered. In remote sensing images, the subpixel spectral mixing and semantic ambiguity of ground objects make this task even more challenging. In this article, we propose a novel method for large-factor SR of remote sensing images named spectra-guided generative adversarial networks (SpecGANs). In response to the above problems, we explore whether introducing additional hyperspectral images (HSIs) to GAN as conditional input can be the key to solving the problems. Different from previous approaches that mainly focus on improving the feature representation of a single source input, we propose a dual-branch network architecture to effectively fuse low-resolution (LR) red, green, blue (RGB) images and corresponding HSIs, which fully exploit the rich hyperspectral information as conditional semantic guidance. Due to the spectral specificity of ground objects, the semantic accuracy of the generated images is guaranteed. To further improve the visual fidelity of the generated output, we also introduce the Latent Code Bank with rich visual priors under a generative adversarial training framework so that high-resolution, detailed, and realistic images can be progressively generated. Extensive experiments show the superiority of our method over the state-of-art image SR methods in terms of both quantitative evaluation metrics and visual quality. Ablation experiments also suggest the necessity of adding spectral information and the effectiveness of our designed fusion module. To our best knowledge, we are the first to achieve up to 32x SR of remote sensing images with high visual fidelity under the premise of accurate ground object semantics. Our code can be publicly available at
https://github.com/YapengMeng/SpecGAN
.
