USING REMOTE SENSING TECHNOLOGIES FOR MONITORING URBAN HEAT ISLANDS DOI
Віталій Зацерковний, Mauro De Donatis, L. V. Plichko

и другие.

Visnyk of Taras Shevchenko National University of Kyiv Geology, Год журнала: 2024, Номер 3 (106), С. 99 - 106

Опубликована: Янв. 1, 2024

Background. The urbanization process is accelerating every day, which entails significant changes in the natural landscape. This leads to microclimatic changes, air pollution, thermal effect, etc. Due pollution by man-made emissions urbanized areas, regime changing; concentration of carbon dioxide and water vapor has now reached 90 % total amount pollutants. As a result, another problem arises that contributes global warming – "greenhouse effect". Elevated temperatures affect human health leading breathing problems, seizures, heat sunstroke, stress, increased mortality. Considering potential danger elevated caused urban islands affecting lives residents, an effective relevant method for surface temperature analysis island location determination should be developed. Methods. During monitoring, main factor temperature, was determined study using indices such as: Normalized Difference Vegetation Index (NDVI), Urban Thermal Field Variance (UTVFI) Built-up (NDBI). Results. paper describes distribution three European capitals, including Kyiv, Oslo Rome, from May 2013 August 2023. Using capabilities GoogleEarthEngine cloud platform data Landsat 8 OLI/TIRS satellite, condition green spaces, number impervious surfaces (LST) were compared, resulting maps (UHIs) areas selected cities towns demonstrating quantitative changes. Conclusions. Thus, showed decrease along with city Kyiv 4 %. At same time, Rome experienced increase surfaces. obtained prove feasibility chosen research can used assess environmental condition, identify risk zones, develop measures further prevent spread UHI megacities.

Язык: Английский

Integrating spatial analysis of land surface temperature and green space suitability: an advanced approach to urban and peri-urban planning DOI
Zahra Parvar, Marjan Mohammadzadeh, Sepideh Saeidi

и другие.

GeoJournal, Год журнала: 2025, Номер 90(2)

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

0
Monitoring the dynamics of land use and land cover, and their impact on seasonal land surface temperature in the Upper Awash Basin, Central Ethiopia DOI Creative Commons
Getahun Bekele Debele, Kassahun Ture Beketie

Deleted Journal, Год журнала: 2025, Номер 7(4)

Опубликована: Апрель 9, 2025

Язык: Английский

Процитировано

0
Exploring the relationship between remote sensing-based vegetation indices and land surface temperature through quantitative analysis DOI Creative Commons
Ibrahim Olatunji Raufu

Journal of the Bulgarian Geographical Society, Год журнала: 2024, Номер 50, С. 95 - 112

Опубликована: Май 27, 2024

In an era of rapid urbanization, understanding the complex relationship between vegeta-tion dynamics and land surface temperature (LST) is crucial for addressing challeng-es posed by urban heat island (UHI) promoting sustainable development. Our study aimed to explore these in a rapidly urbanizing environment analyzing relationships remote sensing-based vegetation indices LST through quantitative analysis. A cloud-free Landsat 8 OLI/TIRS level 2 satellite imagery Ibadan region city 2022 was obtained from United State Geological Survey (USGS) estimated using radiative transfer approach. Utilizing different combina-tions spectral bands, seven including Normalized Difference Veg-etation Index (NDVI), Soil Adjusted Vegetation (SAVI), Atmospherically Resistant (ARVI), Green (GNDVI), Ratio (RVI), Optimized (OSAVI), Chlorophyll (GCI) were analyzed. Combined with spatial distribution Ibadan, regression analysis performed vege-tation LST. Results indicate that among indices, ARVI has strongest correlation area (R = 0.65).  Additionally, cores experience lower density higher values, which can be attribut-ed use intensity, anthropogenic release, impervious cover while peripheral areas exhibit values. The findings this contribute deeper environmental provide valuable insights planning, ecosystem management, climate adaptation strategies areas.

Язык: Английский

Процитировано

2
Integrating Spatial Analysis of Land Surface Temperature and Green Space Suitability: An Advanced Approach to Urban and Peri-Urban Planning DOI
Zahra Parvar, Marjan Mohammadzadeh, Sepideh Saeidi

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Сен. 10, 2024

Abstract Sustainable urban development requires a comprehensive understanding of land surface temperature (LST) and the factors that influence it, especially in rapidly urbanizing areas. This study introduces an approach integrates Multi-Criteria Evaluation (MCE) with Geographically Weighted Regression (GWR) to enhance green space (GS) planning Bojnourd City, Iran. By merging these techniques, research identifies critical areas where high suitability for coincides LST hotspots, offering robust tool planners. mapping was conducted using radiative transfer equation (RTE) method Landsat 8 data. GS evaluated through MCE framework incorporating Linear Combination (WLC), fuzzy set analysis, Analytic Hierarchy Process (AHP), Zonal Land Suitability (ZLS) methods. The GWR model demonstrated superior predictive accuracy over Ordinary Least Squares (OLS) model, evidenced by higher R² lower AIC. combined analysis identified 255 hectares within city 4,393.9 expansion zones as prime locations spaces (UGS) peri-urban agriculture forestry (P-UGS) development. Overall, study's demonstrates valuable advancing management enhancing climate change adaptation strategies.

Язык: Английский

Процитировано

0
USING REMOTE SENSING TECHNOLOGIES FOR MONITORING URBAN HEAT ISLANDS DOI
Віталій Зацерковний, Mauro De Donatis, L. V. Plichko

и другие.

Visnyk of Taras Shevchenko National University of Kyiv Geology, Год журнала: 2024, Номер 3 (106), С. 99 - 106

Опубликована: Янв. 1, 2024

Background. The urbanization process is accelerating every day, which entails significant changes in the natural landscape. This leads to microclimatic changes, air pollution, thermal effect, etc. Due pollution by man-made emissions urbanized areas, regime changing; concentration of carbon dioxide and water vapor has now reached 90 % total amount pollutants. As a result, another problem arises that contributes global warming – "greenhouse effect". Elevated temperatures affect human health leading breathing problems, seizures, heat sunstroke, stress, increased mortality. Considering potential danger elevated caused urban islands affecting lives residents, an effective relevant method for surface temperature analysis island location determination should be developed. Methods. During monitoring, main factor temperature, was determined study using indices such as: Normalized Difference Vegetation Index (NDVI), Urban Thermal Field Variance (UTVFI) Built-up (NDBI). Results. paper describes distribution three European capitals, including Kyiv, Oslo Rome, from May 2013 August 2023. Using capabilities GoogleEarthEngine cloud platform data Landsat 8 OLI/TIRS satellite, condition green spaces, number impervious surfaces (LST) were compared, resulting maps (UHIs) areas selected cities towns demonstrating quantitative changes. Conclusions. Thus, showed decrease along with city Kyiv 4 %. At same time, Rome experienced increase surfaces. obtained prove feasibility chosen research can used assess environmental condition, identify risk zones, develop measures further prevent spread UHI megacities.

Язык: Английский

Процитировано

0