Determination of the nighttime light imagery for urban city population using DMSP-OLS methods in Istanbul

Ortakavak, Zeynep; Çabuk, Alper; Çetin, Mehmet; Kürkçüoğlu, Müzeyyen Anıl Şenyel; Çabuk, Saye Nihan

doi:10.1007/s10661-020-08735-y

Cited by 24 publications

(10 citation statements)

References 51 publications

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“…It will comprise of the following (Fig. 8 ): Identifying initial targets (time-bound goals for pollution reduction) Conducting interdisciplinary research, using local information and residents’ inputs, to understand systems’ requirements Identify viable targets (realistic pollution reduction benchmarks) Optimize cost-effective strategy A critical need is to ideate the main pollution hotspots, for which, recent studies have advocated spatial mapping including coupled use of geographic information system (GIS) and various remote sensing technologies (Cetin, 2015a , b ; Ortakavak et al, 2020 ). To that end, we urge the urban air quality regulators and city planners to be cognizant of certain possibilities: Greenbelts: in and around industrial areas Green oases: in poorly ventilated areas Green wall/roofs, and greening of parking lots (any open and available space) in densely populated, low-income neighborhoods Wetlands: establishing new ones while rejuvenation of existing ones Barwise and Kumar ( 2020 ) outlined a comparative summary of preferences for tree species in open road vis-à-vis street canyons that may provide the urban authorities initial clues to probe into the matter (Table 3 ).…”

Section: Discussionmentioning

confidence: 99%

Urban greenery for air pollution control: a meta-analysis of current practice, progress, and challenges

Chaudhuri

Kumar²

2022

Environ Monit Assess

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Most governmental initiatives in India, to leash down urban air pollution, have yielded little results till date, largely due to purely technocratic vision, which is shrouded by technological, economic, social, institutional, and political hardships. We present this reflective article on urban greenery, as a proposition to urban authorities (e.g., pollution regulators, environmental systems’ managers, urban landscape planners, environmental policy makers), shift from purely technocratic way of thinking to thinking with nature , by strategic greening of urban spaces, for long-term air pollution prevention and control measures. To that end, we offer a meta-analysis of recent (post 2005) global literature using four-stage PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach. We open the narrative by briefing about main pollutant filtration mechanisms by trees, followed by cognitive aspects of species selection (e.g., deciduous vs. evergreen, air pollution tolerance index, environmental stressors). Till date, most Indian studies on urban greenery mostly but focused on physiological aspects of trees. Here, we draw attention of urban authorities to an equally compelling, but yet less explored, aspect: design criteria, with reference to two most common urban configurations, namely, street canyon and open road. With pictorial depictions, we enumerate various categories of street canyons and discuss aspect ratio (building height to street width) and various wind flow regimes (isolated roughness, wake interface, and skimming), that the urban authorities should be cognizant about to maximize pollutant removal efficiency. For open road, we discuss vegetation barriers, with special emphasis on canopy porosity/density functions. In the final sections, we reflect on a potential systems’ thinking approach for on-ground implementation, comprising of revamping of urban forestry programs, research and development, community mobilization and stakeholder engagement, and strategic outreach. In addition, we emphasize on means to harness co-benefits of urban greenery, beyond mere pollutant removal, to garner support from urban residents’ communities. Last but not the least, we also caution the urban authorities about the undesirable outcomes of urban greenery that will require more process-level research. Supplementary Information The online version contains supplementary material available at 10.1007/s10661-022-09808-w.

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Section: Discussionmentioning

confidence: 99%

Urban greenery for air pollution control: a meta-analysis of current practice, progress, and challenges

Chaudhuri

Kumar²

2022

Environ Monit Assess

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“…Satellite images serve as a rich source of information, offering insights into the social determinants of health by revealing spatial and temporal changes in communities and environments [76][77][78]. These images can provide valuable indicators related to urban development [79,80], population density [81], and environmental conditions [82,83], all of which are crucial in understanding social dynamics that might influence domestic violence. On the other hand, internet data, encompassing Google Trends and online news, acts as a real-time reflection of societal interests and concerns.…”

Section: Use Case 2: Domestic Violence Prediction Using Open Datamentioning

confidence: 99%

DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era

Restrepo,

Wu,

Vásquez-Venegas

et al. 2024

Preprint

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In the big data era, integrating diverse data modalities poses significant challenges, particularly in complex fields like healthcare. This paper introduces a new process model for multimodal Data Fusion for Data Mining, integrating embeddings and the Cross-Industry Standard Process for Data Mining with the existing Data Fusion Information Group model. Our model aims to decrease computational costs, complexity, and bias while improving efficiency and reliability. We also propose "disentangled dense fusion," a novel embedding fusion method designed to optimize mutual information and facilitate dense inter-modality feature interaction, thereby minimizing redundant information.We demonstrate the model's efficacy through three use cases: predicting diabetic retinopathy using retinal images and patient metadata, domestic violence prediction employing satellite imagery, internet, and census data, and identifying clinical and demographic features from radiography images and clinical notes. The model achieved a Macro F1 score of 0.92 in diabetic retinopathy prediction, an R-squared of 0.854 and sMAPE of 24.868 in domestic violence prediction, and a macro AUC of 0.92 and 0.99 for disease prediction and sex classification, respectively, in radiological analysis. These results underscore the Data Fusion for Data Mining model's potential to significantly impact multimodal data processing, promoting its adoption in diverse, resource-constrained settings.

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“…Thirdly, test of light index. The night light data can reflect the conditions of economic activities on a more objective basis [44][45][46][47][48]. The intensity images of night light can be utilized to…”

Section: Plos Onementioning

confidence: 99%

Economic effects of conversion from county (or county-level city) to municipal district in China

Zhao¹,

2022

PLoS ONE

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Administrative division is an important resource to promote the urbanization process and economic growth in China. As an important way of urban spatial expansion, the effect of the removal of counties (county-level cities) into municipal districts(RCD) on economic growth remains to be empirically tested. In this paper, the panel data at the county level from 1998 to 2016 and the differential method were selected to study this problem. The results show that, during the study period, the RCD significantly promoted the economic growth of Chinese cities. The effect of removing counties (county-level cities) from large cities and megacities to set up districts is obviously better than that of small and medium-sized cities. In small and medium-sized cities with small urban permanent population, the RCD has obvious negative impact on economic development. The effect of county (county-level city) reform in eastern and central regions is more significant, while the effect of policy in western and northeast regions is not significant. When the development intensity of the municipal district is between 15%-20%, the effect of the RCD is relatively good, and the administrative division adjustment of the municipal district has a certain optimal window period.

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Determination of the nighttime light imagery for urban city population using DMSP-OLS methods in Istanbul

Cited by 24 publications

References 51 publications

Urban greenery for air pollution control: a meta-analysis of current practice, progress, and challenges

Urban greenery for air pollution control: a meta-analysis of current practice, progress, and challenges

DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era

Economic effects of conversion from county (or county-level city) to municipal district in China

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