Determination of urban pollution islands by using remote sensing technology in Moscow, Russia

Bakaeva, N. V.; Le, Minh Tuan

doi:10.1016/j.ecoinf.2021.101493

Cited by 16 publications

(5 citation statements)

References 18 publications

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“…There is an urgent need for the development of precise operative algorithms capable of retrieving information on a wide range of contaminants. Currently, these algorithms are based on models which are limited to a narrow scope of contaminants, underscoring the necessity for a more comprehensive approach to environmental indicators, particularly those in the form of organic/ inorganic micro/nanoparticulates (Farré, 2020;Bakaeva and Le, 2022). To ensure accuracy and reliability in assessing environmental indicators, it is crucial to incorporate experimental inputs specific to the targeted contaminants to elaborate adjusted calibration tools.…”

Section: How Can Nanotechnology and Satellite Technology Benefit Each...mentioning

confidence: 99%

Bringing satellite and nanotechnologies together: unifying strengths against pollution and climate change

Ferral,

Bonansea,

Scavuzzo

et al. 2024

Front. Nanotechnol.

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Nowadays, we witness remarkable technological progress alongside unprecedented challenges that threaten the delicate balance of our planet’s ecological system. Environmental contamination plays a central role in this, with rapid urbanization, industrialization, mining and agricultural practices intensifying the introduction of pollutants into the environment. This article highlights the potential synergy between two fields operating at vastly different scales: satellite technology and nanotechnology. This article delves into the offerings of each of these disciplines and examines how they can mutually contribute to the detection, prevention and mitigation of environmental pollution. Satellites play a crucial role in identifying and monitoring large-scale polluted areas, offering comprehensive insights into environmental challenges. They are indispensable in tracking air, water pollution levels, assessing land degradation, and monitoring changes in ocean health with relatively high spatial and temporal resolution. Nanotechnology leverages the unique properties of materials at sub-micron scale by offering amplified chemical reactivity and new optical, electronic, and magnetic attributes, enabling selective and sensitive sensors and rapid and efficient contaminant capture/degradation strategies. Emerging nanomaterials, along with nature-inspired and self-powered or self-sustaining designs, broaden capabilities for efficient solutions. Advanced nanocharacterization techniques deepen material understanding and quantification, while nanofabrication allows precise design of functional nano-devices. We believe the synergistic relationship between both fields can yield cooperative solutions, expediting effective measures and greatly influencing policy decisions. This article advocates for the collaboration between these two disciplines to foster impactful progress in facing global challenges.

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Section: How Can Nanotechnology and Satellite Technology Benefit Each...mentioning

confidence: 99%

Bringing satellite and nanotechnologies together: unifying strengths against pollution and climate change

Ferral,

Bonansea,

Scavuzzo

et al. 2024

Front. Nanotechnol.

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“…Our recent research paper, published in Ecological Informatics in 2022, looks closely at the relationship between SUHI and UPI [43].…”

Section: Assessing the Influence Of Suhis On Upimentioning

confidence: 99%

“…LST and air temperature were indirect indicators of surface and atmospheric urban heat islands, whereas PM10 and aerosol optical thickness were indirect indicators of near-surface and atmospheric pollution. Our recent research paper, published in Ecological Informatics in 2022, looks closely at the relationship between SUHI and UPI [43].…”

Section: Assessing the Influence Of Suhis On Upimentioning

confidence: 99%

A Technique for Generating Preliminary Satellite Data to Evaluate SUHI Using Cloud Computing: A Case Study in Moscow, Russia

Bakaeva

2023

Remote Sensing

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The expansion of construction zones, transportation, and utilities for industry and high-tech areas due to human activities has caused the deterioration of the natural ecological environment. As cities face problems related to the surface urban heat island (SUHI) effect and environmental pollution, there is an urgent need to develop new methods for the ecological–microclimatic assessment and structural–functional planning of urban areas. The main goal of this study was to demonstrate the evolution of the surface urban heat island (SUHI) effect in Moscow over a long period and to determine the interaction between SUHIs and urban pollution islands (UPIs) using a geospatial analysis platform while optimizing vegetation classification with machine learning. Additionally, we are creating a digital database for modeling the sustainability of cities on the GEE platform using cloud computing. This study used cloud computing and remote sensing image analysis platforms for a 17-year temporal-series ecological–microclimatic assessment, which provided a sequence of values describing the ongoing process of changes in the ecological conditions of Moscow over time. Combining machine learning with the random forest algorithm (RF) improved vegetation classification accuracy while reducing computation time. The study findings demonstrated how the SUHI affected Moscow’s territory and showed the urban areas significantly impacted by this phenomenon. The locations of surface urban heat islands in Moscow and areas affected by SUHI and UPI were identified using numerical modeling of the urban thermal field variance index (UTFVI). From the findings, we identified the need to develop a new method for obtaining geospatial data for assessing the interaction between UPIs and SUHIs using cloud computing and mathematical data models.

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“…As a result, citizens are more likely to suffer from respiratory diseases and suffer from worsened heart and lung conditions. Furthermore, environmental damage, including damage caused by air pollution, costs billions of dollars every year in financial credits, human labor, and other resources [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Trends of CO, NO2, SO2, and O3 Pollutants Using Time-Series Sentinel-5 Images Based on Google Earth Engine

et al. 2023

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Air pollution (AP) is a significant risk factor for public health, and its impact is becoming increasingly concerning in developing countries where it is causing a growing number of health issues. It is therefore essential to map and monitor AP sources in order to facilitate local action against them. This study aims at assessing the suitability of Sentinel-5 AP products based on Google Earth Engine (GEE) to monitor air pollutants, including CO, NO2, SO2, and O3 in Arak city, Iran from 2018 to 2019. Our process involved feeding satellite images to a cloud-free GEE platform that identified pollutant-affected areas monthly, seasonally, and annually. By coding in the JavaScript language in the GEE, four pollution parameters of Sentinel-5 satellite images were obtained. Following that, images with clouds were filtered by defining cloud filters, and average maps were extracted by defining average filters for both years. The employed model, which solely used Sentinel-5 AP products, was tested and assessed using ground data collected from the Environmental Organization of Central Province. Our findings revealed that annual CO, NO2, SO2, and O3 were estimated with RMSE of 0.13, 2.58, 4.62, and 2.36, respectively, for the year 2018. The annual CO, NO2, SO2, and O3 for the year 2019 were also calculated with RMSE of 0.17, 2.41, 4.31, and 4.6, respectively. The results demonstrated that seasonal AP was estimated with RMSE of 0.09, 5.39, 0.70, and 7.81 for CO, NO2, SO2, and O3, respectively, for the year 2018. Seasonal AP was also estimated with RMSE of 0.12, 4.99, 1.33, and 1.27 for CO, NO2, SO2, and O3, respectively, for the year 2019. The results of this study revealed that Sentinel-5 data combined with automated-based approaches, such as GEE, can perform better than traditional approaches (e.g., pollution measuring stations) for AP mapping and monitoring since they are capable of providing spatially distributed data that is sufficiently accurate.

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Determination of urban pollution islands by using remote sensing technology in Moscow, Russia

Cited by 16 publications

References 18 publications

Bringing satellite and nanotechnologies together: unifying strengths against pollution and climate change

Bringing satellite and nanotechnologies together: unifying strengths against pollution and climate change

A Technique for Generating Preliminary Satellite Data to Evaluate SUHI Using Cloud Computing: A Case Study in Moscow, Russia

Monitoring Trends of CO, NO2, SO2, and O3 Pollutants Using Time-Series Sentinel-5 Images Based on Google Earth Engine

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