Figure - uploaded by Albert Berila
Content may be subject to copyright.
Source publication
Since the appearance on Earth, human has been constantly operating in nature, exploiting its riches, but also adapting it to its own needs. Both developing and developed countries are constantly concerned about the urbanization process. Urbanization, in order to be positive, must be developed correctly. If such a thing does not happen, then this de...
Context in source publication
Similar publications
The coast of Paraná includes the Serra do Mar and the Coastal Plain where
human occupation, over time, caused pressure on such environments. In an
attempt to contain the unbridled anthropization of the environment, a wide range
of environmental protection legislation was developed in Brazil. It is within this
context that the present work was devel...
The Southern and Eastern National Capital Region of Delhi is experiencing diversified and expanding urbanization as in million-plus cities of the area the urban sprawl activities are more frequent than the urban densification activities. The progressing sprawl of residential and construction sites is transforming the regional ecosystems and hamperi...
Citations
... The CA index in Isfahan city showed the greatest change in the classes of built-up areas and vegetation but the least change in the blue zone class. Berila and Isufi (2021) investigated the dispersion of cities in Kozovo region using landscape metrics and showed the urban areas increased by 1646 ha in the city of Prishtina during the period of 2000-2020. Additionally, the current study revealed the NP index increase among the agricultural land use between 2002 and 2020 emphasizing on the fragmentation of the spots and the division of the land structure into smaller pieces and the disintegration of the agricultural land use during the last 18 years. ...
Landscape ecology is sensitive to economic and social alterations caused by land use changes. Aim of this research is to quantify the land use changes in Isfahan city, central Iran during 2002–2020 using landscape metrics while it also tries to simulate land use changes for the prespective of 2029. Hence, land use maps were extracted using the maximum likelihood algorithm for 2002 and 2011 of Landsat 5 and 2020 of Landsat 8 satellite images. Analysis of land use change patterns was conducted with ENVI and ArcGIS software. Totally, 12 metrics were picked up for analysis through applying Fragstats software at two levels of class and landscape. Then, simulation of land use was implemented in TerrSet software environment. The results confirmed that the built-up area had the most extention during the study period and increased from18859.20 to 21961.50 hectares whereas agricultural lands showed a decrease from 16700.30 to 14364.30 hectares. Hence, economic growth and urban development were recognized as the most important factors of land use change in this study. Land transformation is one of variables of agricultural lands destruction globally similar to the findings of this study. The land use simulation for 2029 also revealed a significant increase for the built-up area as much as 1761.80 hectares compared to 2020. Conclusively, the strongest recommendation for the Isfahan city in an attempt to look for sustainable development destiny is to prevent further extention of built-up area and simultaneously to stop the destruction and even restoration of agriculture lands.
... To visualize the process of stratigraphic interpretation, we employed modern maps to intuitively depict the historical information of the ancient town [46]. ArcGIS was also utilized for the digitization of historical data, enabling a clearer representation of the layered historical context [47]. ...
In the face of external shocks from urbanization and the inherent needs of economic development, it is essential for urban and rural heritage to adapt timely to achieve sustainability in development. Employing Historic Urban Landscape (HUL) methodologies for change management holds significant implications for the sustainable preservation and utilization of heritage. This study used Dongxi Ancient Town as a case study, characterized by a distinct evolutionary trajectory and diverse layers of accumulation throughout its historical progression, making it an exemplary instance for change analysis. This paper analyzed the processes and outcomes of historic urban landscape changes through a layered historical approach. Combining historical data translation methods with ArcGIS spatial analysis, we documented and mapped the cultural and natural characteristics of Dongxi Ancient Town. The layered process of the town’s historical landscape was categorized into four stages: the primary formative period from the Western Han to the Ming dynasties, the rapid development during the Qing dynasty, the prosperous period of the Republic of China, and the transitional expansion period following the establishment of the People’s Republic of China. The study analyzed the morphological changes and values of the historical landscape throughout these periods. Based on the analysis results, we suggest three transformation management strategies for historical landscapes oriented towards economic development: (1) converting cultural heritage into cultural assets, (2) implementing moderate and controlled quantitative changes, and (3) enhancing operational feasibility through collaborative efforts among multiple stakeholders. These strategies aim to establish a sustainable model that balances heritage conservation with economic growth.
... Landscape metrics (spatial metrics/landscape indices) are quantitative measures that describe a landscape's various characteristics, such as shape, size, and spatial configuration (Berila & Isufi, 2021;Wu & Lu, 2021). These landscape metrics can be relevant in assessing and monitoring the impacts of planned and unplanned urban expansion into non-urban environments (Berila & Isufi, 2021;Magidi et al., 2022). ...
... Landscape metrics (spatial metrics/landscape indices) are quantitative measures that describe a landscape's various characteristics, such as shape, size, and spatial configuration (Berila & Isufi, 2021;Wu & Lu, 2021). These landscape metrics can be relevant in assessing and monitoring the impacts of planned and unplanned urban expansion into non-urban environments (Berila & Isufi, 2021;Magidi et al., 2022). The two main types of landscape metrics are configuration and composition metrics. ...
... The integration of spatial and temporal dimensions offers a comprehensive understanding of the dynamics and distribution of urban sprawl within the framework of environmental changes and urban development (Jain et al., 2016;Kumar et al., 2007;Sun et al., 2013). Conversely, employing landscape metrics offers a detailed analysis of spatial patterns and their changes over time, providing valuable insights into the drivers and impacts of urban sprawl too (Berila & Isufi, 2021;Jain et al., 2016;Triantakonstantis & Stathakis, 2015). ...
... Remote sensing (RS) and Geographic Information System (GIS) offer advantages that can be implemented in quantifying urban sprawl (Berila & Isufi, 2021;Yulianto et al., 2020). Starting from consistent data availability, comprehensive spatial analysis, and the ability to formulate a prediction model, RS and GIS can accommodate spatio-temporal approaches in urban sprawl research (Al-shalabi et al., 2013;Baqa et al., 2021). ...
... RS technologies, including satellite imagery and aerial photography, provide valuable spatial data with improved spatial resolution and temporal coverage, enabling more accurate and detailed assessments of urban land cover changes over time (Taubenböck et al., 2009). GIS complements RS by offering powerful tools for spatial analysis and modeling, facilitating the integration of diverse datasets related to urban development, such as land cover, land use, population density, infrastructure, and environmental factors (Berila & Isufi, 2021;Yulianto et al., 2020). ...
The urban sprawl phenomenon refers to the expansion of urban areas driven by high population growth and migration. A spatio-temporal approach is indispensable in urban sprawl research. Monitoring and evaluating urban sprawl in a region is crucial for controlling drastic environmental changes. Integrated Remote Sensing (RS) and Geographic Information System (GIS) technologies can serve as essential tools for this purpose. The aim of this systematic literature review paper is to gather information on the latest data, methods, and findings to be considered in future urban sprawl research. The PRISMA method was employed, involving filtering from the Scopus database, resulting in 30 papers selected for an in-depth review to address the objectives of this paper. Landsat data remains the preferred choice for monitoring changes due to its extensive historical archive compared to other data sources. Landscape metrics represent a more advanced method compared to conventional change detection in quantifying urban sprawl. Other indices and quantifiers are also used to support the quantification of urban sprawl. Two perspectives exist in selecting the study's temporal intervals: consistent and inconsistent, which are adjusted based on the natural characteristics of "change," namely "abrupt" and "gradual." Suggestions for future research include using data with detailed spatial resolution and narrow study intervals while considering the patterns of urban sprawl formation. Highlights: • Spatio-temporal approach: Vital for understanding urban sprawl dynamics. • Remote Sensing and GIS integration: Key for monitoring and controlling sprawl. • Indices and landscape metrics: Crucial tools for quantifying sprawl change.
... In an attempt to fully describe urban processes and models, the use of RS alone is a bit incomplete. Therefore, the addition of landscape metrics enhances its results (Berila and Isufi 2021). These metrics are used to have a clear and unambiguous understanding of the urban landscape and its characteristics in order to sustainably manage urban environments (Aguilera et al. 2011). ...
The rapid urban growth and anthropogenic activities have posed a threat to the local environment and ecosystem around the world. This situation has become a hindrance to planners and policy makers for sustainable urban development. Therefore, this study mainly focuses on the assessment of urban growth patterns in relation to urban sprawl in Jalpaiguri urban agglomeration. Multi-temporal Landsat data have been used for land use change detection and urban sprawl quantification. The maximum likelihood classifier technique has been performed to create land use land cover maps for each study year (2001, 2011 and 2021). Urban expansion intensity index has been applied to determine the magnitude of urban expansion. Landscape metrics and Shannon’s entropy have been employed to assess the urban sprawl to a spatial extent. Spatiotemporal land use changes reveal that the non-urban class (vegetation, agriculture, water bodies, and fallow) have been decreasing consistently with an increase in built-up areas over time. Built-up area has increased by almost seven times in the span of the last 20 years (2001–2021). In the first decade, the growth rate of urban areas was 145.42% with a medium speed of expansion and in the next decade, it was 180.83% with a very high speed. Landscape metrics show that the fragmentation of the entire urban landscape into small patches happened from 2001 to 2011 in a higher magnitude indicating the occurrence of sprawling characteristics. But in recent times, the entire landscape is aggregating into large single urban patches which indicate a clumpy situation and would affect the local ecological environment. Shannon’s entropy model also verifies the compact urban sprawl in different directions and distances from the city centre. The understanding of urban growth dynamics and land use changes is essential for addressing the rapid urbanization within this urban region. There is an immediate need for an appropriate strategy for effective utilization of land use and monitoring of uncontrolled and haphazard urban growth. This research study would help the urban planner to take a specific scope of action for future urban growth and development.
... In recent years, the territory of Pristina has undergone an extraordinary physical and social transformation. These transformations are most pronounced by the expansion of the urban area, often due to unplanned construction in many areas of the city [24]. ...
Microplastics (MPs) pervade various ecosystems, including urban landscapes. The aim of this study was to determine whether the presence of MPs in atmospheric deposition samples is related to land use. For this purpose, atmospheric deposition was collected from 15 to 25 March 2021 at seven research sites in the city of Pristina (Kosovo). Each research site was characterized by different land use. Collected atmospheric deposition samples were analyzed in the laboratory, and then the filtered samples were assessed using a light microscope. The type and size of microplastics in the samples were defined and statistically analyzed. The highest number of total MPs was noted on the highway, while the lowest one was near to the park. A positive relationship was observed between the number of total MPs and the proportion of areas classified as “roads and associated areas” in the land use of the analyzed research sites. Furthermore, a negative relationship was found between the number of total MPs and the proportion of areas classified as “green urban areas”. Based on our preliminary research, it can be observed that the type of land use may have a key role in MPs’ atmospheric deposition.
... As more people migrate from rural to urban areas in search of better opportunities and improved living conditions, cities experience a surge in population growth, creating higher demands for housing, infrastructure, and services (Singh and Singh 2020;Berila and Isufi 2021). Inadequate urban planning and a lack of comprehensive land-use policies in response to this influx of people can lead to the uncontrolled expansion of urban areas into surrounding greenfield spaces, resulting in urban sprawl (Yang et al. 2020;Seevarethnam et al. 2021). ...
... Inadequate urban planning and a lack of comprehensive land-use policies in response to this influx of people can lead to the uncontrolled expansion of urban areas into surrounding greenfield spaces, resulting in urban sprawl (Yang et al. 2020;Seevarethnam et al. 2021). Various studies globally have demonstrated that rapid urbanization has accelerated the pressure to accommodate the growing population, resulting in the outward pushing of city development (Monkkonen et al. 2018;Han et al. 2020;Berila and Isufi 2021). This has promoted low-density, car-dependent neighborhoods and the conversion of agricultural and natural land into urbanized zones (Hecht et al. 2020;Bonsu and Bonin 2023;Amare et al. 2023). ...
Rapid and haphazard urban growth has triggered urban sprawl and induced irreversible land cover conversions. In this context, studies are required to comprehensively review the existing urban sprawl research for advancing the knowledge in this domain and determine state-of-the-art development and recent advancements. Multiple definitions of urban sprawl were collected from scholarly sources to determine the commonly accepted understanding of this phenomenon. The analysis encompassed different facets of urban sprawl, including its features and impacts, factors contributing to its occurrence, and factors accelerating its expansion. Furthermore, the approaches to detect and measure urban sprawl were gathered, which included scale, indicators, use of RS and GIS, landscape metrics, entropy indexes, and typologies. This study also attempts to reveal the research gaps. This study identified ambiguity while defining urban sprawl; therefore, no globally accepted definition has been framed until now. Despite the increasing importance of mid-sized cities in achieving sustainable urban development, there is a lack of assessment of urban sprawl in these cities. Limited studies consider urban agglomeration as a unit of investigation for the urban sprawl assessment. There is a requirement for an effective urban sprawl assessment method in developing nations where data availability is a significant constraint.
... The NP is a measure of landscape aggregation or division (Berila & Isufi, 2021). It is seen that the NP increased from 430 to 2365. ...
Aim of study: This study focuses on creating a secondary forest succession (SFS) map between 1972 and 2014 according to the Clementsian theory based on land cover, assessing the spatio-temporal pattern of forest succession change, and determining the factors affecting the forest ecosystem. Area of study: This study was conducted at the Çermik Forest Enterprise (FE) in Diyarbakır city, located in the Southeastern Anatolia Region of Türkiye. Material and methods: Clementsian theory, Remote Sensing (RS), and Geographical Information System (GIS) were used to generate the SFS map. Patch Analyst 4.0 was used to determine changes in spatiotemporal patterns with landscape indices. Main results: The total forested area increased from 32405.1 ha (13% of the study area) in 1972 to 45054.7 ha (18% of the study area) in 2014, with a net increase of 12649.6 ha. It was determined that the progressive succession area was 87736.7 ha, the regressive succession area was 39216.5 ha, and the unchanged succession area was approximately 129989.6 ha. The number of patches increased over a 42-year period. Research highlights: The forest ecosystem was more fragmented, with patches becoming more irregular, complex, and edgy
... It is difficult to estimate urban sprawl using standard surveying and mapping procedures, which are costly and time-consuming, particularly in developing nations [21]. However, technological innovations such as remote sensing (RS) and geographic information systems (GIS) are frequently utilised to monitor and track urban sprawl [22], making monitoring and detecting land use and land cover (LULC) easier for investigating lengthy periods and covering enormous geographic regions [23]. Additionally, the built-up area is an adequate measure of urban sprawl since the built-area change over time exposes the type, breadth, and evolution of urban sprawl [22]. ...
There is a lack of research on urban sprawl in developing countries, particularly in Sub-Saharan Africa, undergoing significant demographic change. There is an urgent need to conduct more studies on African cities and investigate spatial variations in urban sprawl to fill a knowledge gap in Sub-Saharan Countries (SSC). There have been no studies of urban sprawl in the Somali capital of Mogadishu, a fragile metropolis struggling with the legacy of decades of civil war. This study has two main objectives: (i) to examine sprawl patterns in Mogadishu, Somalia; and (ii) to identify the drivers and impacts of urban sprawl in Mogadishu, Somalia. The study used spatiotemporal imagery from 2006, 2013, and 2021 to identify sprawl patterns. A quantitative method in the form of a cross-sectional survey with 265 participants was then used to identify the drivers and impacts of sprawl, which was then analysed using the structural equation model (SEM). The spatiotemporal analysis results showed sprawl patterns in nine districts and three settlements, mainly scattered and leapfrog patterns. The SEM discovered five significant drivers: low price of land and dwelling (LP), development of transportation infrastructure (DTI), rising income, security reasons, and low commute cost (LCC), in addition to eight significant impacts: less social interaction (LSI), agriculture land and natural habitat loss (AGL NHL), unsafe environment (USE), insufficient health and educational services (IHF IEF), high public services cost (HPSC), insufficient public transport (IPT), less physical activity (LPA), pollution (POL) and mental health issues (MH). Undoubtedly, the impacts found in the study proved that urban sprawl negatively impacted the residents and environment of Mogadishu, which will continue as the security situation in the city improves and more residents are attracted.
... In order to visually portray the information about the current city on modern maps [41], it is important to utilize the historical map translation technique to convert the early historical maps into integrated history maps of the city, using modern maps as the map foundation. Using digital tools, digitally processed historical materials gradually started being introduced in large quantities into the study of urban historical morphology, with the help of ArcGIS [42]. Changes in the spatial extent of cities and the migration of urban centers can be more easily traced through ArcGIS [43]. ...
China has undergone a tremendous urbanization process over the past four decades, resulting in a considerable conflict between the desire to construct contemporary urban areas and the desire to safeguard old urban structures. In addition to destroying the physical space of ancient urban sites, urban development has fragmented the natural landscape and severed its structural relationship with the historical urban landscape. In this study, we selected Luoyang as the research object and digitally translated and laminated the laminar process of Luoyang’s historical urban landscape based on historical maps and related historical documents. It is intended to establish a digital historical urban landscape information database comprising data from different periods of the city through the systematic translation of historic maps and through combining the following different landscape carriers: urban spatial patterns, roads and streets, landscape units, and landmark buildings. While reading the historical maps of the city, the spatial analysis tool, ArcGIS, was used to identify the trajectory of the spatial evolution of Luoyang’s spatial structure throughout its history. In this paper, we suggest the establishment of a Luoyang urban historical axis system to integrate the city’s fragmented historical urban landscape, thereby strengthening the social perception of such historical urban landscapes and preserving their memory.
