Urban expansion quantification from remote sensing data for sustainable land-use planning in Mangaluru, India

Dhanaraj, K.; Angadi, Dasharatha P.

doi:10.1016/j.rsase.2021.100602

Cited by 29 publications

(6 citation statements)

References 55 publications

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“…All these studies focused on different places and are in the same line of thought, illustrating the fast rhythm of urban growth, as we have identified in the case of Bucharest. In addition, our results confirm previous findings that point out that investigating built-up area dynamics based on remote sensing can serve as a basis for decision-making [26,29,35,122,127]. For getting deeper insights about territorial transformations, LDTtool has proven suitable for detecting the types of local dynamics, as suggested in previous research [106,107].…”

Section: Discussionsupporting

confidence: 88%

“…Although this phenomenon is global, the biggest territorial transformations due to the augmentation of built-up areas are found in Asia [21]. In this respect, there are numerous studies that deal with single metropolitan regions [22][23][24][25][26][27][28][29], cross-sectional comparisons between two or more cities [30][31][32][33], as well as studies that focus on much larger areas [34][35][36]. In the African continent, overall, the tempo of urban development is considered low [21], but is anticipated to increase significantly [8].…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Territorial Impact of Built-Up Area Expansion in the Surroundings of Bucharest (Romania) through a Multilevel Approach Based on Landsat Satellite Imagery

2021

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Assessing the relentless expansion of built-up areas is one of the most important tasks for achieving sustainable planning and supporting decision-making on the regional and local level. In this context, techniques based on remote sensing can play a crucial role in monitoring the fast rhythm of urban growth, allowing the regular appraisal of territorial dynamics. The main aim of the study is to evaluate, in a multi-scalar perspective, the built-up area expansion and the spatio–temporal changes in Ilfov County, which overlaps the surroundings of Bucharest, capital of Romania. Our research focuses on processing multi-date Landsat satellite imagery from three selected time references (2000, 2008, 2018) through the supervised classification process. Further on, the types of built-up area dynamics are explored using LDTtool, a landscape metrics instrument. The results reveal massive territorial restructuring in the 18 years, as the new built-up developments occupy a larger area than the settlements’ surface in 2000. The rhythm of the transformations also changed over time, denoting a significant acceleration after 2008, when 75% of the new development occurred. At the regional level, the spatial pattern has become more and more complex, in a patchwork of spatial arrangements characterized by the proliferation of low density areas interspersed with clusters of high density developments and undeveloped land. At the local level, a comparative assessment of the administrative territorial units’ pathway was conducted based on the annual growth of built-up areas, highlighting the most attractive places and the main territorial directions of development. In terms of the specific dynamics of built-up areas, the main change patterns are “F—NP increment by gain”, followed by “G—Aggregation by gain”, both comprising around 80% of the total number of cells. The first type was prevalent in the first period (2000–2008), while the second is identified only after 2008, when it became the most represented, followed in the hierarchy by the previously dominant category. The spatial pattern differentiations were further explored in three complementary case studies investigated in correlation with socioeconomic data, revealing a heterogeneous landscape.

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Evaluating the Territorial Impact of Built-Up Area Expansion in the Surroundings of Bucharest (Romania) through a Multilevel Approach Based on Landsat Satellite Imagery

2021

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“…Secondly, we computed the UEII in the eight different geographical directions (i-th) out from the city center at two temporal periods T1 and T2 ( Eq (4) ; [ 59 ]. Where UEII i represents the annual average urban expansion intensity index of the i-th spatial unit in a period (T), UA i (T1) and UA i (T2) denote the urban areas of the i-th spatial unit at time T1 (1972) and T2 (2020), respectively, and T represents the study period (48 years), TLA i is the total area of the spatial unit i.…”

Section: Methodsmentioning

confidence: 99%

Monitoring rural-urban transformation in the coastal region of Rabat-Sale-Kenitra, Morocco

Loulad,

Nguyen,

Simou

et al. 2023

PLoS ONE

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Worldwide urbanization drives rural-urban transformation (RUT) which has major consequences in many countries of the Global South where there is an urgent need to better understand and manage the underlying processes and consequences for ecosystem services. To fill existing knowledge gaps on the extent and time course of RUT in Morocco, this study focused on (i) analyzing the spatial patterns of rural-urban transformation in the Rabat-Sale-Kenitra (RSK) region from 1972 to 2020, (ii) identifying key mechanisms of change, and (iii) defining the main driving forces behind the spatial transformation patterns. To this end, we processed data of the Landsat free archive, historical grayscale Corona images, and nighttime lights datasets on Google Earth Engine (GEE) using machine learning classifiers and LandTrendr spectral-temporal segmentation algorithms. With an overall accuracy (OA) ranging from 88–95%, the results revealed that during the study period the RSK region experienced a 473% growth of horizontal built-up reflected in an area increase from 63.4 km2 to 299.9 km2. The main changes occurred along the Kenitra-Rabat-Temara axis and in central cities connected to the main road network. The horizontal expansion of large and medium-sized cities led to the formation of a Rural-Urban Interface (RUI) on the outskirts. The urban sprawl of some cities has affected the surrounding rural lands within the RUI. Environmental, social, economic, and political forces have interacted in shaping the changes in rural-urban landscapes.

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“…Human induced land use land cover changes is also another crucial issue to determine and address the challenges of sustainable urban growth [ 17 , 18 ]. So, monitoring and evaluating urban growth and its driving factors is very crucial and area of research for different scholars [ [18] , [19] , [20] ].…”

Section: Introductionmentioning

confidence: 99%

“…Unplanned and unmanaged urban growth has been hampering the quality of growth in different regions of the world [ 20 ]. This type of growth, which lacks spatial plan, impacts the natural ecosystem, including wildlife, through uncontrolled sprawling of cities and towns [ 16 , 30 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

Application of geospatial techniques and binary logistic regression model for analyzing driving factors of urban growth in Bahir Dar city, Ethiopia

Getu,

Gangadhara Bhat

2024

Heliyon

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Urban expansion quantification from remote sensing data for sustainable land-use planning in Mangaluru, India

Cited by 29 publications

References 55 publications

Evaluating the Territorial Impact of Built-Up Area Expansion in the Surroundings of Bucharest (Romania) through a Multilevel Approach Based on Landsat Satellite Imagery

Evaluating the Territorial Impact of Built-Up Area Expansion in the Surroundings of Bucharest (Romania) through a Multilevel Approach Based on Landsat Satellite Imagery

Monitoring rural-urban transformation in the coastal region of Rabat-Sale-Kenitra, Morocco

Application of geospatial techniques and binary logistic regression model for analyzing driving factors of urban growth in Bahir Dar city, Ethiopia

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