Landscape Pattern and Ecological Security Assessment and Prediction Using Remote Sensing Approach

Liu, Pei; Jia, Shoujun; Han, Ruimei; Zhang, Hanwei

doi:10.1155/2018/1058513

Cited by 11 publications

(5 citation statements)

References 27 publications

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“…Besides, LULC of the wards was used as a hazard parameter as certain LULC types associate with the high probability of COVID‐19 infections, such as settlements and agriculture, where people gather and get exposed to the virus. Using ArcMap 10.1, we conducted a level‐II classification of the study area using visual image interpretation technique on the Worldview satellite imagery (Beluru & Hegde, 2016; Bhatt et al., 2017; Liu, Jia, Han, & Zhang, 2018) (Fig. 5(b); Meraj et al., 2018; Meraj, Romshoo, & Altaf, 2016; Singh, 2016).…”

Section: Methodsmentioning

confidence: 99%

Analyzing the Risk to COVID‐19 Infection using Remote Sensing and GIS

et al. 2021

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Globally, the COVID-19 pandemic has become a threat to humans and to the socioeconomic systems they have developed since the industrial revolution. Hence, governments and stakeholders call for strategies to help restore normalcy while dealing with this pandemic effectively. Since till now, the disease is yet to have a cure; therefore, only risk-based decision making can help governments achieve a sustainable solution in the long term. To help the decisionmakers explore viable actions, we propose a risk-based assessment framework for analyzing COVID-19 risk to areas, using integrated hazard and vulnerability components associated with this pandemic for effective risk mitigation. The study is carried on a region administrated by Jaipur municipal corporation (JMC), India. Based on the current understanding of this disease, we hypothesized different COVID-19 risk indices (C19Ri) of the wards of JMC such as proximity to hotspots, total population, population density, availability of clean water, and associated land use/land cover, are related with COVID-19 contagion and calculated them in a GIS-based multicriteria risk reduction method. The results showed disparateness in COVID-19 risk areas with a higher risk in north-eastern and south-eastern zone wards within the boundary of JMC. We proposed prioritizing wards under higher risk zones for intelligent decision making regarding COVID-19 risk reduction through appropriate management of resources-related policy consequences. This study aims to serve as a baseline study to be replicated in other parts of the country or world to eradicate the threat of COVID-19 effectively.

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Section: Methodsmentioning

confidence: 99%

Analyzing the Risk to COVID‐19 Infection using Remote Sensing and GIS

et al. 2021

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“…Under the background of urbanization and land resource limitation in China, intensive and economical use of land is encouraged, with aims to increase the efficiency of resource utilization and solve the problem of environmental pollution [66]. Referring to existing studies [67][68][69], indicators that represent the scale, aggregation level, and function of the ecological landscape are selected to obtain a comprehensive estimation of the intensity and aggregation of the ecological landscape. The indicators include area, largest patch index (LPI), density, aggregation, proximity index, and fractal dimension.…”

Section: Ecological Security Assessment Based On Integrating Urban-rumentioning

confidence: 99%

The Effect of Urban-Suburban Interaction on Urbanization and Suburban Ecological Security: A Case Study of Suburban Wuhan, Central China

Tian

Wang

2020

Sustainability

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In developing countries like China, urbanization is still occurring at a rapid pace. During urbanization, the urban land expands drastically, which makes suburbs the most affected area facing urban expansion. The land transition has proven to threaten the function and security of ecosystems, and therefore the topics of suburban land transition and ecological security have raised much attention. However, the urban-suburban interaction, which is one of the basic characteristics of suburbs, has been insufficiently considered. The urban-suburban interaction is developed based on the flows of people, materials, and information between urban and suburban areas, and it essentially reveals the relationship between human activities and land-use optimization. To fill the research gap, this study adopts a case study of Wuhan city, and first quantifies the urban-suburban interactions from a symbiotic perspective, and investigates rural residents and public buses to verify the estimated interactions. The results show that there is obvious heterogeneity in urban-suburban interactions in different suburban towns. Correlation analysis and geographic weight regression are then applied to demonstrate the relationship between the urban-suburban interaction and urbanization in the suburbs. Additionally, urbanization potential in the suburbs is estimated. Then, a suburban ecological security assessment is conducted by a "pressure-status-response" (PSR) model, and the urbanization potential that is estimated based on urban-suburban interaction is integrated as a "pressure" indicator. The comparison between the suburban ecological security assessment results based on considering and not considering urban-suburban interaction demonstrates the importance of considering urban-suburban interaction. This study contributes to the understanding of the complicated relationships of urban-suburban socio-economic, spatial, and ecological environments, and offers suggestions for suburban planning and ecological protection.Sustainability 2020, 12, 1600 2 of 22 and ecological threat [2][3][4][5]. Hence, studies on urban-suburban interaction have caught much attention in recent years.Despite the existing studies on urban-suburban interaction analysis, the effects of such interactions on land transition and the eco-environment are insufficiently discussed. Land transition is one of the biggest challenges that the suburbs face in both developing and developed countries. In developing countries, urbanization is occurring at a rapid pace and is accompanied by fast urban land expansion. During this process, a large amount of ecological land transits into the urban area, including natural land and cropland [6][7][8]. Developed countries also confront similar problems. For example, Salvati, et al. [9] concluded that the urban expansion in discontinuous and low-density Mediterranean regions threatens soil quality and vulnerable ecologies. Ustaoglu and Williams [10] pointed out that there is a significant land conversion from agricultural land to urban land i...

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“…Besides, LULC of the wards was used as a hazard parameter as certain LULC types associate with the high probability of COVID-19 infections, such as settlements and agriculture, where people gather and get exposed to the virus. Hence using, ArcMap 10.1, we conducted level-II classi cation of the study area using visual image interpretation technique on the Worldview satellite imagery [17][18][19][20][21][22] (Fig. 3b).…”

Section: Hazardmentioning

confidence: 99%

Risk assessment to curb COVID-19 contagion: A preliminary study using remote sensing and GIS

Kanga

Meraj²,

Sudhanshu

et al. 2020

Preprint

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Globally, COVID-19 pandemic has become a threat to humans and to the socio-economic systems they have developed since the industrial revolution. Hence, governments and stakeholders are calling for strategies that could help to restore the normalcy while dealing with this pandemic effectively. Since, till now, the disease is yet to have a cure; therefore, only risk-based decision-making can help governments to achieve a solution that is sustainable in the long term. To help the decision-makers to explore viable actions, we here propose a risk assessment framework for analyzing COVID-19 risk to areas, using integrated hazard and vulnerability components associated with this pandemic for effective risk mitigation. The study is carried on a region administrated by Jaipur municipal corporation (JMC), India. Based on the current understanding of this disease, we hypothesized different COVID-19 risk indices (C19Ri) of the wards of JMC such as proximity to hotspots, total population, population density, availability of clean water and associated land use/ land cover, are related with COVID-19 contagion and calculated them in a GIS-based multi-criteria risk reduction method. The results showed disparateness in COVID-19 risk areas with higher risk in north-eastern and south-eastern zone wards within the boundary of JMC. We proposed to prioritize wards that are under higher risk zones for intelligent decision-making regarding COVID-19 risk reduction through appropriate management of resources-related policy consequences. This study aims to serve as a baseline study to be replicated in other parts of the country or world to eradicate the threat of COVID-19 effectively.

show abstract

Landscape Pattern and Ecological Security Assessment and Prediction Using Remote Sensing Approach

Cited by 11 publications

References 27 publications

Analyzing the Risk to COVID‐19 Infection using Remote Sensing and GIS

Analyzing the Risk to COVID‐19 Infection using Remote Sensing and GIS

The Effect of Urban-Suburban Interaction on Urbanization and Suburban Ecological Security: A Case Study of Suburban Wuhan, Central China

Risk assessment to curb COVID-19 contagion: A preliminary study using remote sensing and GIS

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