Scrutinizing Urbanization in Kathmandu Using Google Earth Engine Together with Proximity-Based Scenario Modelling

Aryal, Anisha; Bhatta, Kishor Prasad; Adhikari, Sanot; Baral, Himlal

doi:10.3390/land12010025

Cited by 2 publications

(1 citation statement)

References 53 publications

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“…[2] . The utilization of Google Earth Engine (GEE) has seen a growing trend in environmental and urban studies, primarily because of its cloud-based geospatial processing capabilities and the availability of a vast collection of geospatial datasets such as Landsat, MODIS, Sentinel, and various free satellite data [7][8][9][10][11]. Therefore, this study was conducted to monitor the urban development process and evaluate the changes during the period from 2012 to 2022 in Thuan An city.…”

Section: Introductionmentioning

confidence: 99%

Utilization of Landsat Imagery and Google Earth Engine to Analyze the Urban Growth Dynamics in Thuan An City, Binh Duong Province

Thi Anh Thu,

Thi An,

Le Tan Dat

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The study utilized satellite imagery data including Landsat 7 and Landsat 9 combined with Google Earth Engine to classify and evaluate the urban land cover for the period from 2012 to 2022. Supervised classification based on random forest algorithm has been carried out on Google Earth Engine cloud-computing platform to map the urban land cover of Thuan An city, Binh Duong province, Vietnam. The research findings provide a clear understanding of urban dynamics in Binh Duong province during the years from 2012 to 2022. Over this time period, the urban area in Thuan An has nearly doubled, increasing from 2,793 hectares to 5,059 hectares. This information will assist urban managers and local planners in gaining insights into the scale and trends of urban development, enabling them to implement effective management and sustainable development measures for the city and its environment.

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Section: Introductionmentioning

confidence: 99%

Utilization of Landsat Imagery and Google Earth Engine to Analyze the Urban Growth Dynamics in Thuan An City, Binh Duong Province

Thi Anh Thu,

Thi An,

Le Tan Dat

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Assessing urban growth in Greater Surabaya using Google Earth Engine: An evaluation of built-up area expansion in Indonesian secondary cities

Purwono,

Susetyo,

Rijal

et al. 2024

J GEOGR INST CVIJIC

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Urbanization in Indonesia's cities is increasing, leading to various impacts, including negative consequences due to insufficient investment in local public infrastructure. Urbanization assessment primarily relies on examining changes in built-up areas over the past decade. These changes serve as an indicator that can be effectively derived from remote sensing data. In our study, we applied remote sensing data from the Google Earth Engine (GEE) catalog to delve into the urbanization dynamics within Greater Surabaya area, Indonesia. We employed satellite imagery from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI TIRS) for 2012 and 2022. We used Support Vector Machine (SVM) classification techniques to construct precise urban expansion models. Our analysis revealed distinct urban expansion trends in Mojokerto and Sidoarjo, which contrast with the relatively stable urban development trends in northern Surabaya due to the construction of toll roads. The findings provide valuable inputs for urban management, necessitating targeted interventions and strategies to address the urbanization disparities between these two areas. It underscores the critical importance of resource allocation, infrastructure development, and urban planning initiatives, with a specific focus on Gresik, to ensure sustainable urban growth and mitigate potential challenges associated with rapid expansion.

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Scrutinizing Urbanization in Kathmandu Using Google Earth Engine Together with Proximity-Based Scenario Modelling

Cited by 2 publications

References 53 publications

Utilization of Landsat Imagery and Google Earth Engine to Analyze the Urban Growth Dynamics in Thuan An City, Binh Duong Province

Utilization of Landsat Imagery and Google Earth Engine to Analyze the Urban Growth Dynamics in Thuan An City, Binh Duong Province

Assessing urban growth in Greater Surabaya using Google Earth Engine: An evaluation of built-up area expansion in Indonesian secondary cities

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