Geoinformation technology of analysis and vizualization of spatial data on greenhouse gas emissions using Google Earth Engine

Kinakh, Vitaliy; Bun, Rostyslav; Danylo, Olha

doi:10.1109/stc-csit.2017.8098771

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…ecological management. The results of this study will significantly expand the opportunities for international cooperation of Ukraine in the field of environmental protection and will help bring the state of the environment in line with European and world requirements [2,5].…”

Section: Introduction and Literature Reviewmentioning

confidence: 83%

“…There are no programs for automated GIS synthesis by mathematical models at all, as well as the theoretical basis of this process. There is only a UML language (Unified Modeling Language) for a formalized description of models of complex software and information systems, including GIS, but there are no clear guidelines for writing mathematical models in UML notation [1,2,5,12,16].…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

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Method of Mathematical and Geoinformation Models Integration Based On Unification of the Ecological Data Formalization

Mashkov

Ivashchenko

Wójcik

et al. 2021

Lecture Notes in Computational Intelligence and Decision Making

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The scientific and methodological basis for the integration of mathematical and geoinformation models based on the unification of the formalization of environmental data has been developed. The ways of integration of the theoretical base of mathematical modeling from information sources about the state of the environment and the processes of its pollution are determined. An algorithm for selecting a modeling object, an algorithm for selecting the rules of recalculation of coordinates, and positioning of the calculation grid on the object are proposed. Systematization and formalization of the main components, quantities, and variables of mathematical models of processes, geoinformation models of systems, and relational models of databases are carried out. The model of relational databases and analogs of methods of data representation in mathematical and geoinformation models are offered. The stages of solving the problem of automating the exchange of data between models of different types in several stages are proposed. Variants of setting problems of automated synthesis of models of different types, depending on the identity of the structure and parameters of these models are considered. The stages of the automated creation of a database management system are determined. The approbation of the developed software is considered on a model example.

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Section: Introduction and Literature Reviewmentioning

confidence: 83%

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Method of Mathematical and Geoinformation Models Integration Based On Unification of the Ecological Data Formalization

Mashkov

Ivashchenko

Wójcik

et al. 2021

Lecture Notes in Computational Intelligence and Decision Making

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Persuasive System Design for Climate Change Awareness

Adib,

Orji

2023

Lecture Notes in Computer Science

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Investigating Waste and Land Use Changes Effects on Air Pollution Using Google Earth Engine in Jakarta Metropolitan in Indonesia

UMWANZISIWEMUREMYI,

ABIDIN,

SETIAWAN

2024

Preprint

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In recent years, air pollution has intensified due to a continuous rise in atmospheric pollutants. Emissions from anthropogenic activities have exacerbated this problem, contributing to health, environmental, and climate issues. Researchers have identified energy production, industrial processes, wildfires, and volcanic eruption as leading contributors, with waste, changes in land use and land cover (LULC) being secondary factors. Consequently, the growing global waste production and alterations in LULC are among factors in increasing pollution levels, which we seek to emphasise in this research. We specifically investigated the effects of waste and LULC on carbon monoxide (CO), Sulphur dioxide SO2, nitrous dioxide (NO2), and formaldehyde (CH2O) emissions in the Jakarta Metropolitan region, Indonesia. Data were gathered from the Sentinel 2 and Sentinel-5 Precursor satellites and National Waste Management Information System Indonesia (SIPSN) from 2019 to 2023, we employed excel, image analysis, and Google Earth Engine (GEE) for data processing. ArcGIS 10.8 was used for advanced mapping. Our findings revealed that CO, SO2, NO2, and CH2O levels have increased the past five years in correlation with waste and LULC change, with a dip in 2020 during the COVID-19 lockdowns. Efforts to mitigate air pollution include curbing these emissions and promoting green urban planning.

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Geoinformation technology of analysis and vizualization of spatial data on greenhouse gas emissions using Google Earth Engine

Cited by 3 publications

References 6 publications

Method of Mathematical and Geoinformation Models Integration Based On Unification of the Ecological Data Formalization

Method of Mathematical and Geoinformation Models Integration Based On Unification of the Ecological Data Formalization

Persuasive System Design for Climate Change Awareness

Investigating Waste and Land Use Changes Effects on Air Pollution Using Google Earth Engine in Jakarta Metropolitan in Indonesia

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