scholarly journals Recording Urban Land Dynamic and Its Effects during 2000–2019 at 15-m Resolution by Cloud Computing with Landsat Series

2020 ◽  
Vol 12 (15) ◽  
pp. 2451
Author(s):  
Yulin Dong ◽  
Zhibin Ren ◽  
Yao Fu ◽  
Zhenghong Miao ◽  
Ran Yang ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
High Resolution ◽  
Land Cover ◽  
Urban Development ◽  
Green Space ◽  
Urban Expansion ◽  
Sustainable Urban Development ◽  
Landsat Images ◽  
Land Types

Cities, the core of the global climate change and economic development, are high impact land cover land use change (LCLUC) hotspots. Comprehensive records of land cover land use dynamics in urban regions are essential for strategic climate change adaption and mitigation and sustainable urban development. This study aims to develop a Google Earth Engine (GEE) application for high-resolution (15-m) urban LCLUC mapping with a novel classification scheme using pan-sharpened Landsat images. With this approach, we quantified the annual LCLUC in Changchun, China, from 2000 to 2019, and detected the abrupt changes (turning points of LCLUC). Ancillary data on social-economic status were used to provide insights on potential drivers of LCLUC by examining their correlation with change rate. We also examined the impacts of LCLUC on environment, specifically air pollution. Using this approach, we can classify annual LCLUC in Changchun with high accuracy (all above 0.91). The change detection based on the high-resolution wall-to-wall maps show intensive urban expansion with the compromise of cropland from 2000 to 2019. We also found the growth of green space in urban regions as the result of green space development and management in recent years. The changing rate of different land types were the largest in the early years of the observation period. Turning points of land types were primarily observed in 2009 and 2010. Further analysis showed that economic and industry development and population migration collectively drove the urban expansion in Changchun. Increasing built-up areas could slow wind velocity and air exchange, and ultimately led to the accumulation of PM2.5. Our implement of pan-sharpened Landsat images facilitates the wall-to-wall mapping of temporal land dynamics at high spatial resolution. The primary use of GEE for mapping urban land makes it replicable and transferable by other users. This approach is a first crucial step towards understanding the drivers of change and supporting better decision-making for sustainable urban development and climate change mitigation.

scholarly journals Land Cover Change in the Abuja City-Region, Nigeria: Integrating GIS and Remotely Sensed Data to Support Land Use Planning

2019 ◽  
Vol 11 (5) ◽  
pp. 1313 ◽  
Author(s):  
Evidence Enoguanbhor ◽  
Florian Gollnow ◽  
Jonas Nielsen ◽  
Tobia Lakes ◽  
Blake Walker
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Development ◽  
Land Cover Change ◽  
Land Use Planning ◽  
Environmental Sustainability ◽  
Urban Expansion ◽  
Developed Countries ◽  
Urban Land Cover ◽  
Land Use Plan

Rapid urban expansion is a significant contributor to land cover change and poses a challenge to environmental sustainability, particularly in less developed countries. Insufficient data about urban expansion hinders effective land use planning. Therefore, a high need to collect, process, and disseminate land cover data exists. This study focuses on urban land cover change detection using Geographic Information Systems and remote sensing methods to produce baseline information in support for land use planning. We applied a supervised classification of land cover of LANDSAT data from 1987, 2002, and 2017. We mapped land cover transitions from 1987 to 2017 and computed the net land cover change during this time. Finally, we analyzed the mismatches between the past and current urban land cover and land use plans and quantified the non-urban development area lost to urban/built-up. Our results indicated an increase in urban/built-up and bare land cover types, while vegetation land cover decreased. We observed mismatches between past/current land cover and the existing land use plan. By providing detailed insights into mismatches between the regional land use plan and unregulated urban expansion, this study provides important information for a critical debate on the role and effectiveness of land use planning for environmental sustainability and sustainable urban development, particularly in less developed countries.

scholarly journals Spatio-temporal analysis of land use/land cover dynamics in Sokoto Metropolis using multi-temporal satellite data and Land Change Modeller

2020 ◽  
Vol 52 (3) ◽  
pp. 306
Author(s):  
Murtala Dangulla ◽  
Latifah Abd Manaf ◽  
Firuz Ramli Mohammad
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Open Space ◽  
Urban Expansion ◽  
Land Use Land Cover ◽  
Land Change ◽  
Landsat Images ◽  
Green Area ◽  
Rate Of Increase ◽  
Green Areas

Urbanization is currently one of the most pressing environmental issues which cuts across all countries at unprecedented rates and intensities, with far reaching consequences on ecosystems, biodiversity and human wellbeing. This paper assessed urban expansion and land use/land cover changes in Sokoto metropolis, North-western Nigeria using Remote Sensing and GIS. Landsat images of 1990, 1999 and 2015 were processed for LULC classification and change detection using the Maximum Likelihood Classification, Post Classification Comparison techniques and the Land Change Modeler. The classification revealed five broad land cover classes which include Built-up Area, Farmland, Green Area, Open Space and Wetland/Water. The Built-up and Green areas continuously increased while Farmland and Open space decreased throughout the study period. The metropolis expanded radially at a faster rate between 1999 and 2015 with the highest rate of increase (1890.5ha per annum) recorded in the Built-up Area. This implies a doubling time of approximately 30 years at the expense of Farmland and Open space which may be completely exhausted in 40 and 29 years respectively. Infrastructural provision should thus align with the rate and direction of growth and where the Green Area is converted, replacement should be made to ensure continued supply and stability of the numerous ecosystem services green areas provide.

scholarly journals Big Science, Ethics, and the Scalar Effects of Urban Planning

2020 ◽  
Vol 5 (4) ◽  
pp. 217-226
Author(s):  
Sandra Kopljar
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Large Scale ◽  
Agricultural Land ◽  
Materials Science ◽  
Urban Expansion ◽  
Sustainable Urban Development ◽  
Planning Strategy ◽  
Urban Level ◽  
Research Facilities

The urban expansion currently under development around the two materials science facilities MAX IV and European Spallation Source in Lund, Sweden, surrounds two meticulously designed research facilities steered by global demands. The new urban area, together with the research facilities dedicated to science and the development of knowledge, expands the city of Lund onto high-quality agricultural land. In doing so, the municipal planning is attempting to align contemporary ideas of sustainable urban development with large-scale scientific infrastructure. This actualizes an ethical dilemma as the urban expansion onto productive agricultural land overrides previous decisions taken by the municipality regarding land use. It can also be understood as going against national land use policy which states that development on productive agricultural land should be avoided. As the planning stands today, the research facilities heavily push local urban development into the area while the intended research outcomes primarily relate to a global research community tied to international scientific demands for materials science. Although the Brunnshög area is realized through a neutralizing planning strategy, thought to balance and compensate for the development on farmland, the effects of the counterbalancing acts are primarily played out at a local urban level in terms of diverse, exciting, and locally sustainable neighbourhoods. The land use protection policies meant to secure national food production rather operates on a national scale. The argument made in this text is that sustainable development, and the intended balancing acts it involves, ought to be carefully considered in terms of scalar effects. Sustainable planning<em> </em>effects’ <em>scalar extent</em> should be taken into account through careful assessment of the step between good intentions and expected outcomes.

scholarly journals Retrieval of Land-Use/Land Cover Change (LUCC) Maps and Urban Expansion Dynamics of Hyderabad, Pakistan via Landsat Datasets and Support Vector Machine Framework

2021 ◽  
Vol 13 (16) ◽  
pp. 3337
Author(s):  
Shaker Ul Din ◽  
Hugo Wai Leung Mak
Keyword(s):  
Land Use ◽  
Support Vector Machine ◽  
Land Cover ◽  
Land Cover Change ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Support Vector ◽  
Land Use Land Cover ◽  
Landsat Images ◽  
Barren Land

Land-use/land cover change (LUCC) is an important problem in developing and under-developing countries with regard to global climatic changes and urban morphological distribution. Since the 1900s, urbanization has become an underlying cause of LUCC, and more than 55% of the world’s population resides in cities. The speedy growth, development and expansion of urban centers, rapid inhabitant’s growth, land insufficiency, the necessity for more manufacture, advancement of technologies remain among the several drivers of LUCC around the globe at present. In this study, the urban expansion or sprawl, together with spatial dynamics of Hyderabad, Pakistan over the last four decades were investigated and reviewed, based on remotely sensed Landsat images from 1979 to 2020. In particular, radiometric and atmospheric corrections were applied to these raw images, then the Gaussian-based Radial Basis Function (RBF) kernel was used for training, within the 10-fold support vector machine (SVM) supervised classification framework. After spatial LUCC maps were retrieved, different metrics like Producer’s Accuracy (PA), User’s Accuracy (UA) and KAPPA coefficient (KC) were adopted for spatial accuracy assessment to ensure the reliability of the proposed satellite-based retrieval mechanism. Landsat-derived results showed that there was an increase in the amount of built-up area and a decrease in vegetation and agricultural lands. Built-up area in 1979 only covered 30.69% of the total area, while it has increased and reached 65.04% after four decades. In contrast, continuous reduction of agricultural land, vegetation, waterbody, and barren land was observed. Overall, throughout the four-decade period, the portions of agricultural land, vegetation, waterbody, and barren land have decreased by 13.74%, 46.41%, 49.64% and 85.27%, respectively. These remotely observed changes highlight and symbolize the spatial characteristics of “rural to urban transition” and socioeconomic development within a modernized city, Hyderabad, which open new windows for detecting potential land-use changes and laying down feasible future urban development and planning strategies.

scholarly journals Multitemporal Analysis of Soil Sealing and Land Use Changes Linked to Urban Expansion of Salamanca (Spain) Using Landsat Images and Soil Carbon Management as a Mitigating Tool for Climate Change

2020 ◽  
Vol 12 (7) ◽  
pp. 1131 ◽  
Author(s):  
Marco Criado ◽  
Fernando Santos-Francés ◽  
Antonio Martínez-Graña ◽  
Yolanda Sánchez ◽  
Leticia Merchán
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Soil Carbon ◽  
Geographical Information Systems ◽  
Urban Expansion ◽  
Multicriteria Analysis ◽  
Geographical Information ◽  
Landsat Images ◽  
Carbon Management ◽  
Soil Sealing

The lack of urban sustainability is a widespread deficiency in urban agglomerations. To achieve adequate land use, we present a methodology that allows for: 1) the identification of the impacts caused by urban expansion since 1956 to the present in Salamanca (Spain); and 2) the promotion of a more sustainable future in urban development. A multi-temporal assessment of land use was made by remote sensing, while sustainability criteria were analyzed using the multicriteria analysis (MCA) with Geographical Information Systems (GIS). In addition, we established recommendations for soil carbon management in semi-arid ecosystem soils that contribute to climate change mitigation. The results show an increase of the urbanized area from 3.8% to 22.3% in the studied period, identifying up to 15% of buildings in zones with some type of restriction. In 71% of the cases, urbanization caused the sealing of productive agricultural soils (2519 Ha), almost 20% of which were of the highest quality. In last few decades, an excessive increase of built-up areas in comparison to population dynamics was identified, which causes unnecessary soil sealing that affects the food production and the capacity to mitigate climate change by managing the carbon cycle in the soil.

scholarly journals Climate Change Risk of Urban Growth and Land Use/Land Cover Conversion: An In-Depth Review of the Recent Research in Iran

2021 ◽  
Vol 14 (1) ◽  
pp. 338
Author(s):  
Sorour Esfandeh ◽  
Afshin Danehkar ◽  
Abdolrassoul Salmanmahiny ◽  
Seyed Mohammad Moein Sadeghi ◽  
Marina Viorela Marcu
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Cover ◽  
Urban Development ◽  
Urban Growth ◽  
Numerical Models ◽  
Meteorological Data ◽  
Temporal Scale ◽  
Land Use Land Cover ◽  
Related Factors

This research is the first literature review of the past three decades' studies on the effects of urban developent and land use/land cover (LULC) change on Iran's climate change. For this purpose, 67 articles were found, evaluated, and classified according to the spatial and temporal scale, case study, period, data type, climatic factor, methodology, and meteorological data. Moreover, the reviewed literature methodologies were classified according to the purpose, method, and data source. According to the spatial-scale results, national- and city-level studies had the lowest and highest numbers, respectively. Tehran was the most case studies because Tehran is Iran’s capital and the largest metropolitan city. In terms of the temporal scale, studies predicting future changes (urban development and climate change) included 5% of the total literature. Satellite images were the most applied data in the reviewed literature (58%). Overall, 79% of the studies used temperature-related factors to explain the climatic impacts of urban growth and LULC conversion. Spatial modeling with 52% publications was the most used method, while numerical modeling with 12% studies was the least used method. This review showed broad study gaps in applying numerical models, neighborhood scales, urban micro-scale parameters, and long-term projections forecasts due to rapid urban development in Iran compared to the rest of the world. Therefore, our synthesis will assist researchers in facilitating better design for future studies in Iran and similar countries.

scholarly journals Urban Sprawl: Environmental Consequence of Rapid Urban Expansion

2020 ◽  
Vol 5 (6) ◽  
pp. 110-118
Author(s):  
Ibimilua Adewale Festus ◽  
Ibimilua Foyeke Omoboye ◽  
Ogundare Babatope Andrew
Keyword(s):  
Land Use ◽  
Urban Development ◽  
21St Century ◽  
Urban Sprawl ◽  
Urban Expansion ◽  
Population Expansion ◽  
Wildlife Habitat ◽  
Physical Growth ◽  
Sustainable Urban Development ◽  
Population Increase

Urban Sprawl is a disturbing issue to geographers, urban planners and allied professionals in the 21st century.  The anxiety is based mainly on the social, political, economic, cultural and environmental consequences of rapid urban growth.  Hence, this study examines the reasons for urbanization, as well as encroachment of urban development into the border belt.  Next, the study probes into the causes, consequences and adverse effects of uncontrolled infringement and conversion of rural land to urban uses.  Likewise, the study investigates the processes of land use development, population expansion and physical growth, as well as their ecological foot prints.  Consequently, the study identified the major causes of urban sprawl as rapid population increase, high level of urban development pressure, provision of housing, changes in living standard, as well as technological changes among others.  Also, the study found out that urban sprawl is desirable because of the benefits of spread of development, low rent at the periphery, as well as lesser pressure on the environment of the border belt.  Also, the effects of urban sprawl were recognized as destruction of the means of livelihood of the rural dwellers at the urban fringe belt, land fragmentation, food scarcity, changes in the ecosystem, environmental pollution, biodiversity loss, as well as loss of wildlife habitat.  For the achievement of sustainable urban development in the 21st century and beyond, the study recommends environmental monitoring with the aid of geographic information systems and remote sensing techniques, environmental impact assessment, development control, farm land policy, regulation of land allocation, sustainable land use management, as well as enforcement of planning policies.

scholarly journals Modeling the Impact of Urbanization on Land-Use Change in Bahir Dar City, Ethiopia: An Integrated Cellular Automata–Markov Chain Approach

Land ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 115 ◽  
Author(s):  
Melaku Bogale Fitawok ◽  
Ben Derudder ◽  
Amare Sewnet Minale ◽  
Steven Van Passel ◽  
Enyew Adgo ◽  
...  
Keyword(s):  
Land Use ◽  
Markov Chain ◽  
Cellular Automata ◽  
Urban Expansion ◽  
Land Use Changes ◽  
Sustainable Urban Development ◽  
Bahir Dar ◽  
Landsat Images ◽  
The Impact ◽  
The City

The fast-paced urbanization of recent decades entails that many regions are facing seemingly uncontrolled land-use changes (LUCs) that go hand in hand with a range of environmental and socio-economic challenges. In this paper, we use an integrated cellular automata–Markov chain (CA–MC) model to analyze and predict the urban expansion of and its impact on LUC in the city of Bahir Dar, Ethiopia. To this end, the research marshals high-resolution Landsat images of 1991, 2002, 2011, and 2018. An analytical hierarchy process (AHP) method is then used to identify the biophysical and socioeconomic factors underlying the expansion in the research area. It is shown that, during the period of study, built-up areas are rapidly expanding in the face of an overall decline of the farmland and vegetation cover. Drawing on a model calibration for 2018, the research predicts the possible geographies of LUC in the Bahir Dar area for 2025, 2034, and 2045. It is predicted that the conversions of other land-use types into built-up areas will persist in the southern, southwestern, and northeastern areas of the sprawling city, which can mainly be traced back to the uneven geographies of road accessibility, proximity to the city center, and slope variables. We reflect on how our findings can be used to facilitate sustainable urban development and land-use policies in the Bahir Dar area.

scholarly journals Impact of urban expansion on continental- to regional-scale warming

2022 ◽  
Author(s):  
TC Chakraborty ◽  
Yun Qian
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Land Surface ◽  
Urban Expansion ◽  
Regional Scale ◽  
Land Use Land Cover ◽  
Earth System ◽  
Earth System Models

Abstract Although the influence of land use/land cover change on climate has become increasingly apparent, cities and other built-up areas are usually ignored when estimating large-scale historical climate change or for future projections since cities cover a small fraction of the terrestrial land surface1,2. As such, ground-based observations of urban near-surface meteorology are rare and most earth system models do not represent historical or future urban land cover3–7. Here, by combining global satellite observations of land surface temperature with historical estimates of built-up area, we demonstrate that the urban temperature signal on continental- to regional-scale warming has become non-negligible, especially for rapidly urbanizing regions in Asia. Consequently, expected urban expansion over the next century suggest further increased urban influence on surface climate under all future climate scenarios. Based on these results, we argue that, in line with other forms of land use/land cover change, urbanization should be explicitly included in future climate change assessments. This would require extensive model development to incorporate urban extent and biophysics in current-generation earth system models to quantify potential urban feedbacks on the climate system at multiple scales.

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