Assessing urban vegetation inequalities: Methodological insights and evidence

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 102987 - 102987

Published: Jan. 1, 2025

Language: Английский

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Remote Sensing-Based Urban Environmental Quality Indicators: A Review

Journal of Multidisciplinary Applied Natural Science, Journal Year: 2025, Volume and Issue: 5(1), P. 228 - 242

Published: Jan. 18, 2025

Most of the global population lives in urban areas, which also serve as hubs economy, industry, and government activities. Various factors that affect quality cities have been studied different locations. This article reviews various papers examine environmental indicators areas can be extracted from remote sensing data. The first aspect is vegetation cover, known index normalized difference (NVDI), second surface temperature, land temperature (LST). In this work, conditions countries are compared with Indonesia based on these indicators. It found NDVI LST widely used to analyze conditions. has a negative correlation temperature. High creates discomfort life brings mental stress residents living those areas. Based bibliometric analysis network map, it there 30 most relevant words or terms keywords “urban sensing” “remote environment indicator” highest frequency occurrence relevance. study input for policymakers planners formulate spatial planning policies oriented towards sustainability research current topics related sensing-based

Language: Английский

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Exposure to different types of residential greenness during pregnancy and early childhood and attention-deficit/hyperactivity disorder diagnosis: A nested case-control study

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 969, P. 178907 - 178907

Published: Feb. 24, 2025

Language: Английский

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Unmanned Aerial Vehicle (UAV) paired with LiDAR sensor to detect bodies on surface under vegetation cover: preliminary test.

Forensic Science International, Journal Year: 2025, Volume and Issue: unknown, P. 112411 - 112411

Published: March 1, 2025

Language: Английский

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Analysis of land surface temperature and its correlation with urban, water, vegetation, and surface indices in the Siliguri Urban Agglomeration area of the Himalayan foothill region

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 17, 2025

Language: Английский

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Impact of wildfires on spatial and temporal evolution of groundwater recharge in an Atlantic pine forest: An integrated approach using field, remote sensing and modeling.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102408 - 102408

Published: April 21, 2025

Language: Английский

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Assessment of Phytomass and Carbon Stock in the Ecosystems of the Central Forest Steppe of the East European Plain: Integrated Approach of Terrestrial Environmental Monitoring and Remote Sensing with Unmanned Aerial Vehicles

Life, Journal Year: 2024, Volume and Issue: 14(5), P. 632 - 632

Published: May 15, 2024

The rapid and accurate estimation of aboveground forest phytomass remains a challenging research task. In general, methods for estimating fall mainly into the category field measurements performed by ground-based methods, but approaches based on remote sensing ecological modelling have been increasingly applied. aim is to develop scientific methodological framework qualitative quantitative characteristics stands, using combination surveys machine learning models determine stands calculate carbon balance. Even-aged different tree species growing in steppe zone East European Plain were chosen as test objects. We applied modernized compare integrate stand obtained UAV-based comprehensive surveys; additionally, we developed computer vision determining same methods. key advantage proposed methodology monitoring balance control over existing analogues minimization amount groundwork and, consequently, reduction inlabor costs without loss information quality. Reliable data volumes will allow operational storage, which essential decision-making processes. This important environmental forests green spaces various economic categories. necessary ecological–climatic anthropogenic–technogenic transformations landscapes. development useful organizing management ecosystems, protection, managing recreational resources landscapes with natural plantations.

Language: Английский

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Spatiotemporal Analysis of Urban Heat Islands and Vegetation Cover Using Emerging Hotspot Analysis in a Humid Subtropical Climate

Atmosphere, Journal Year: 2024, Volume and Issue: 15(2), P. 161 - 161

Published: Jan. 25, 2024

Research on the temporal and spatial changes of urban heat island effect can help us better understand how urbanization, climate change, environment are interconnected. This study uses a spatiotemporal analysis method that couples Emerging Hot Spot Analysis (EHSA) technique with Mann–Kendall technique. The is applied to determine intensity in humid subtropical climates over time space. data used this research include thermal bands, red band (RED) near-infrared (NIR), Landsat 7 8 satellites, which were selected from 2000 2022 for city Sari, an Iranian Caspian Sea. Pre-processed spectral bands ‘Google Earth Engine’ database estimate land surface temperature. temperature difference between outer buffer (1500 m) was modeled simulated. results paper show accuracy novelty using Hotspot evaluate vegetation cover intensity. Based Normalized Difference Vegetation Index (NDVI), city’s increased by approximately 0.30 °C 2011 compared 2001 2010. However, decreased during period, r = −0.42, so average −0.031 °C/decade decrease has been experienced. methodology be transferred other cities role green spaces reducing stress budget based historical observations.

Language: Английский

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Geological Disaster Susceptibility Evaluation Using Machine Learning: A Case Study of the Atal Tunnel in Tibetan Plateau

Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4604 - 4604

Published: May 29, 2024

Tunnels serve as vital arteries in the realm of transportation and infrastructure, facilitating seamless flow movement across challenging terrains. With increasing demand experienced by traffic network on Tibetan Plateau, deep-buried, lengthy tunnels have become one extremely important types roads for local residents to pass through. Geological disaster susceptibility mapping hybrid models has been proven be an effective means reduce losses caused disasters a large area. However, there relatively little research conducted tunnel areas with significant human activity. To explore feasibility conducting geological assessment areas, we chose Atal Tunnel study project; strategic passageway, this exemplifies hurdles encountered Plateau. Employing multi-source remote sensing data, meticulously mapped distribution identified nine environmental variables pivotal evaluation. We harnessed interpretable ensemble learning assess susceptibility, comparing efficacy four distinct models: weight evidence method (WoE), frequency ratio (FR), logistic regression (LR) support vector machine (SVM). The precision our findings was rigorously tested using metrics such percentage area encompassed within each risk level, Area Under Curve (AUC) value, Receiver Operating Characteristic (ROC) curve, all results were highly accurate. Notably, WoE-LR model achieved superior performance, boasting impressive accuracy rate 90.7%. Through interpretation, discerned that alignment road line is most critical determinant evaluation underscoring high model. extension successful application plateau hold profound implications sustainable development. Moreover, practical these will provide reference design construction projects similar positive outcomes extend well beyond immediate geographical projects.

Language: Английский

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How the characteristics of land cover changes affect vegetation greenness in Guangdong, a rapid urbanization region of China during 2001–2022

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(11)

Published: Oct. 5, 2024

Language: Английский

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