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Spatial distribution of vegetation cover in Erbil city districts using high-resolution Pléiades satellite image
10-22Views:243Green spaces are playing an essential role for ecological balance and for human health in the city as well. They play a fundamental role in providing opportunities for relaxation and enjoying the beauty of nature for the urban population. Therefore, it is important to produce detailed vegetation maps to assist planners in designing strategies for the optimisation of urban ecosystem services and to provide a suitable plan for climate change adaptation in one fast growing city. Hence, this research is an investigation using 0.5 m high-resolution multispectral Pléiades data integrated with GIS data and techniques to detect and evaluate the spatial distribution of vegetation cover in Erbil City. A supervised classification was used to classify different land cover types, and a normalised difference vegetation index (NDVI) was used to retrieve it for the city districts. Moreover, to evaluate the accessibility of green space based on their distance and size, a buffer zone criterion was used. The results indicate that the built-up land coverage is 69% and vegetation land cover is 14%. Regarding NDVI results, the spatial distribution of vegetation cover was various and, in general, the lowest NDVI values were found in the districts located in the city centre. On the other hand, the spatial distribution of vegetation land cover regarding the city districts was non-equal and non-concentric. The newly built districts and the districts far from the Central Business District (CBD) recorded the lowest vegetation cover compared with the older constructed districts. Furthermore, most of the districts have a lack of access to green spaces based on their distance and size. Distance and accessibility of green areas throughout the city are not equally distributed. The majority of the city districts have access to green areas within radius buffer of two kilometres, whereas the lowest accessibility observed for those districts located in the northeast of the city in particular (Xanzad, Brayate, Setaqan and Raperin). Our study is one of the first investigations of decision-making support of the spatial planning in a fast-growing city in Iraq and will have a utilitarian impact on development processes and local and regional planning for Erbil City in the future.
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Integrating applied lake ecology into spatial planning: towards a socially acceptable lakeshore restoration at Lake Velence (Hungary)
27-41Views:240A good chance of a socially accepted shore-restoration that is sustainable for the long run stands only, if all those, concerned in lake use, are also interested in the ecological interventions, if shore-restoration serves social and economic purposes, as well. In the previous phase of our research, assessments were made to find the sections of the shore zone that are suitable for restoration: to detect the sites where the existing artificial shoreline stabilization works could be removed. So that social demands should be involved in the assessment process, to begin with, structured interviews were made. According to the results, the share of the plots, being suitable or partially suitable for shore-restoration, slightly exceeded 7%. The analysis of restoration’s limiting factors has shown that the type of shoreline stabilization, the width of zone covered by emergent macrophytes, the extent of human pressures, and the relevant regulations on zoning (fixed in urban plans) together set limits to restoration. The interviews have made it clear that as a result of the changed demands on recreation-tourism, also the natural and landscape values have become more significant.
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Spatial Statistical Analysis of the relation in between population density and Human Modification of terrestrial lands at Tabia level in the Tigray Region of Ethiopia
1-9Views:197In this study first spatial pattern of the level of human modification of terrestrial lands and second its relation with population density was studied at Taiba level in the Tigray regional state of Ethiopia. For the level of human modification of terrestrial lands global Human Modification dataset (gHM) was used and for population density Gridded Population of the World, Version 4 (GPWv4.11) dataset was used. Both the data set were preprocessed before geostatistical analysis. To measure the distribution pattern Global Moran's I statistics, Cluster and Outlier Analysis (Anselin Local Morans I) statistics was used. To measure the relation between population density and human modification of terrestrial lands geographically weighted regression was used. In the case of first objective the resulting z-score of 50.50, confirm the tabias with high Human Modification of terrestrial lands are highly clustered. In case of second objective the results shows 214 Tabias containing high value and are surrounded by Tabias with high values (HH), 10 Tabias containing high value and is surrounded by Tabias with low values (HL). The relation between population density and human modification of terrestrial lands was found positive with R2= 0.506. This research will help the government and planners for proactive spatial planning to maintain biodiversity and ecosystem function before important environmental values are lost in tabias containing high value and is surrounded by Tabias with high values.
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Regional Development in the Age of Big Data
1-9Views:163Our paper presents a forward looking analytical approach to the territorial development in a region of the Transylvanian Plain situated in the vicinity of Cluj-Napoca, Romania. We outlined the development of this region with the means of landscape architecture supported by a comparable assessment. In the age of Big Data we settled at creative usage of traditional analysis. We extracted yet undetected information from a limited amount of available as yet loosely related data. The key feature of the employed model is the ontological traceability of cause and effect. Although technology is available to collect enormous data, expert knowledge gained by education and professional practice cannot be overlooked. We demonstrate that this method of location based analysis is capable of delivering value added to established principles of spatial planning in the age of trustworthy, large volume, heterogeneous data.
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Interferences between the ecological network and urbanized areas in Poland
65-77Views:50This paper presents spatial relations between Polish urban areas and valuable habitats and links between them composing the country’s ecological network. The quantitative analysis for 891 towns and cities was conducted using GIS techniques based on cartographic vector data and statistical data. Valuable habitats and links between them, such as national parks, landscape parks, CORINE biotopes sites, wildlife corridors linking NATURA 2000 sites and ECONET areas, can be found in 72% of Polish towns and cities. The proportion of artificial surfaces in those areas is different depending on the size of a town or city and its location. Urban areas with the highest index of presence of valuable habitats and links between them are concentrated in the south of Poland, where settlement network is most dense. However, in the case of those areas the proportion of artificial surfaces interfering with the ecological network is lower than Poland’s average, being 16%. The pressure of anthropogenic land cover extending onto the country’s ecological network is most conspicuous in urban areas with a population of at least several dozen thousand residents where the average developed area is 20.8% of their total area. The danger for the continuity of the nature system is best seen in the north western Poland, where artificial surfaces interference in towns and cities is largest. The analysis performed identified 82 towns and cities, in which the preservation of the continuity of the ecological network should be a priority in spatial management because of a higher than average index of the presence of valuable habitats and links between them and large proportion of artificial surfaces in those areas.
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Mapping of river waterquality using inverse distance weighted interpolation in Ogun-Osun river basin, Nigeria
48-62Views:784Sustainable management of water resources involves inventory, conservation, efficient utilization, and quality management. Although, activities relating to quantity assessment and management in terms of river discharge and water resources planning are given attention at the basin level, water quality assessment are still being done at specific locations of major concern. The use of Geographical Information System (GIS) based water quality information system and spatial analysis with Inverse Distance Weighted interpolation enabled the mapping of water quality indicators in Ogun and Ona catchment of Ogun-Osun River Basin, Nigeria. Using 27 established gauging stations as sampling locations, water quality indicators were monitored over 12 months covering full hydrological season. Maps of seasonal variations in 10 water quality indicators as impacted by land-use types were produced. This ensured that trends of specific water quality indicator and diffuse pollution characteristics across the basin were better presented with the variations shown along the river courses than the traditional line graphs. The production of water quality maps will improve monitoring, enforcement of standards and regulations towards better pollution management and control. This strategy holds great potential for real time monitoring of water quality in the basin with adequate instrumentation.
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The scenic value of abandoned mining areas in Poland
132-142Views:56Abandoned Polish mining areas are commonly heavily transformed so that they endanger no longer the environment. A disadvantage is that the newly created areas commonly contribute to the monotonous urban-industrial landscape, rather than providing additional value. This is partly due to legislation that hampers a more diversified management of abandoned mining areas as potentially valuable landforms. One of the legal barriers that restricts the possibilities of making these areas more attractive, regards the utilization of remaining exploitation holes (i.e. land depressions of at least 2 m deep, formed as a result of open-pit mining of energy, chemical, building or metallurgical resources) and waste heaps as important cultural and scenic elements. Such a new use of these old mininginduced phenomena is important if it is intended not only to involve the regional population in the process of exploring and exploiting the earth’s resources, but also to confront them with some negative consequences of these activities, including shaping the landscape in which these objects are situated. The current attitude towards a new architecture for abandoned mining areas should be reconsidered; particularly the present-day approach based on narrow specializations – for instance of experts in mineral exploitation, spatial planning or environmental protection – should be replaced by interdisciplinary action regarding shaping the landscape of abandoned mining areas.
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Prediction of industrial land use using linear regression and mola techniques: A Case Study of Siltara Industrial belt
59-70Views:300The Siltara Industrial belt is an important industrial pocket of Chattisgarh state located in the northern part of the Raipur city, which is rapidly growing. In this process spatial, cultural, political and administrative factors are controlling its rate, direction and pattern. The Simple Linear Regression (SLR) and Multi-Objective Land Allocation (MOLA) techniques, which are embedded in SPSS and Idrisi Kilimanjaro software respectively, and have been used for the estimation of future scenario of the industrial growth. In this model, a suitable platform has been prepared in which future industrialization has been estimated by integrating physical, social, cultural factors and land acquisition policy. In this article, results have revealed that industrialization has occurred very fast during last one decade. The industrial land was 6.15 km2 in 2001 and 18.725 km2 in 2011 and estimated as 31.30 km2 in 2021 and 43.87 km2 in 2031 using SLR. The rapid industrial growth is very critical issues for agrarian society and fresh environment. This model very accurately estimating (overall accuracy=95.39%, Kno=97.24%, agreement=98.63 %) the future growth of industrial land. This work will be useful to the planners and policy makers of private and government sectors to regulate the sustainable planning practices and smart decision-making.