‘Green or short: choose one’ - A comparison of walking accessibility and greenery in 43 European cities DOI Creative Commons
Elias Willberg, Christoph Fink,

Robert Klein

et al.

Computers Environment and Urban Systems, Journal Year: 2024, Volume and Issue: 113, P. 102168 - 102168

Published: Aug. 19, 2024

Promoting environmentally and socially sustainable urban mobility is crucial for cities, with greening emerging as a key strategy. Contact nature during travel not only enhances well-being but also promotes behaviour. However, the availability of greenery varies, recently have new datasets computational approaches made it possible to compare conditions in distribution within between cities quantitatively. In this study 43 large European we undertook comparative analysis by using high-resolution spatial data daily school trips marker need. By recognising walking accessibility most equally available mode transportation, first estimated proportion population residing distance upper secondary schools. Second, associated detailed routes monthly green cover compared variation taking seasonal into account. Lastly, analysed inequalities Gini index, Kolm-Pollak equally-distributed equivalent (EDE) index Moran's I. Our findings reveal consistent negative association implying trade-off access greenery. We found variations schools, ranging from 44% 98% being 1600 m their school. Moreover, our results show substantial within-city disparities cities. demonstrated methodologically importance considering when measuring availability. offers empirical evidence mobility-focused perspective. It provides novel understanding which support researchers planners affording benefits more people they travel.

Language: Английский

Contrasting inequality of green spaces and buildings between cities in China DOI

Fengjiao Song,

Jiayu Bao, Tao Li

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 254, P. 111384 - 111384

Published: March 11, 2024

Language: Английский

Citations

8
Assessing changes in urban vegetation using Normalised Difference Vegetation Index (NDVI) for epidemiological studies DOI
Zoë Davis, Lorien Nesbitt, Martin Guhn

et al.

Urban forestry & urban greening, Journal Year: 2023, Volume and Issue: 88, P. 128080 - 128080

Published: Sept. 6, 2023

Language: Английский

Citations

15
Modeling the Effects of Drivers on PM2.5 in the Yangtze River Delta with Geographically Weighted Random Forest DOI Creative Commons
Zhangwen Su, Lin Lin,

Zhenhui Xu

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(15), P. 3826 - 3826

Published: July 31, 2023

Establishing an efficient PM2.5 prediction model and in-depth knowledge of the relationship between predictors in are great significance for preventing controlling pollution policy formulation Yangtze River Delta (YRD) where there is serious air pollution. In this study, spatial pattern concentration YRD during 2003–2019 was analyzed by Hot Spot Analysis. We employed five algorithms to train, verify, test 17 years data YRD, we explored drivers exposure. Our key results demonstrated: (1) High concentrated western northwestern regions remained stable years. Compared 2003, increased 10–20% southeast, southwest, 2019. The hot spot percentage change mostly located southwest southeast 2019, while interannual showed a changeable distribution pattern. (2) Geographically Weighted Random Forest (GWRF) has advantages predicting presence comparison with other models. GWRF not only improves performance RF, but also spatializes interpretation variables. (3) Climate human activities most important concentration. Drought, temperature, temperature difference critical potentially threatening climatic factors increase expansion YRD. With warming drying trend worldwide, finding can help policymakers better consider these prediction. Moreover, effect interference from humans on ecosystems will again after COVID-19, leading rise strong explanatory power comprehensive ecological indicators be crucial indicator worthy consideration decision-making departments.

Language: Английский

Citations

14
Potential causal links and mediation pathway between urban greenness and lung cancer mortality: Result from a large cohort (2009 to 2020) DOI
Wenjing Wu,

Gonghua Wu,

Jing Wei

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 101, P. 105079 - 105079

Published: Nov. 22, 2023

Language: Английский

Citations

14
Multispectral Satellite Image Analysis for Computing Vegetation Indices by R in the Khartoum Region of Sudan, Northeast Africa DOI Creative Commons
Polina Lemenkova, Olivier Debeir

Journal of Imaging, Journal Year: 2023, Volume and Issue: 9(5), P. 98 - 98

Published: May 11, 2023

Desertification is one of the most destructive climate-related issues in Sudan-Sahel region Africa. As assessment desertification possible by satellite image analysis using vegetation indices (VIs), this study reports on technical advantages and capabilities scripting 'raster' 'terra' R-language packages for computing VIs. The test area which was considered includes confluence between Blue White Niles Khartoum, southern Sudan, northeast Africa Landsat 8-9 OLI/TIRS images taken years 2013, 2018 2022, were chosen as datasets. VIs used here are robust indicators plant greenness, combined with coverage, essential parameters environmental analytics. Five calculated to compare both status dynamics through differences collected within nine-year span. Using scripts visualising over Sudan demonstrates previously unreported patterns reveal climate-vegetation relationships. ability R process spatial data enhanced automate mapping, choosing case enables us present new perspectives processing.

Language: Английский

Citations

13
Employing NDVI as vegetation correction variable to improve soil moisture measurements of mobile cosmic-ray neutron sensor near the Qilian Mountains DOI Creative Commons

Shaoxiong Wu,

Yongyong Zhang,

Wenrong Kang

et al.

Geoderma, Journal Year: 2024, Volume and Issue: 441, P. 116764 - 116764

Published: Jan. 1, 2024

Cosmic-ray neutron sensors (CRNS) are a powerful tool for measuring soil moisture on hectometer scale, and mobile cosmic-ray technology holds significant importance upscaling moisture. However, vegetation strongly affects with CRNS measurements. Variations in over time change how the is affected, which more challenging than stable cover, particularly during roving, where one crosses many covers. To correct vegetation, we hypothesized that Normalized Difference Vegetation Index (NDVI) can represent hydrogen pools. From 2020 to 2023, at 74 plots varying cover near Qilian Mountains, experiments measurements were conducted shrubs, forests, deserts, farmlands, grasslands using Neutron Rover. The measured intensity clearly varied across different landscapes, calibrated parameter N0 differed among plots. variations resulted low measurement accuracy CRNS. All three NDVI correction methods (NDVI-θNDVI method, NDVI-NDVIave NDVI-N0 method) offered by study could improve of In optimal relationship between was established power function y = 373.9 (x + 0.015)−0.136 (R2 0.77), had capability decrease root mean square error oven-dried from 0.093 0.032 g g−1 our area. Employing instead biomass substantially reduce workload effectively enhance measurements, showing potential

Language: Английский

Citations

5
Transport dynamics of watershed discharged diffuse phosphorus pollution load to the lake in middle of Yangtze River Basin DOI

Kaiyue Ji,

Wenjing Li, Xin Hao

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 344, P. 123221 - 123221

Published: Jan. 14, 2024

Language: Английский

Citations

5
The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies DOI Creative Commons
Amy Mizen, Daniel Thompson, Alan Watkins

et al.

Journal of Exposure Science & Environmental Epidemiology, Journal Year: 2024, Volume and Issue: 34(5), P. 753 - 760

Published: Feb. 29, 2024

Abstract Background Exposure to green space can protect against poor health through a variety of mechanisms. However, there is heterogeneity in methodological approaches exposure assessments which makes creating effective policy recommendations challenging. Objective Critically evaluate the use satellite-derived metric, Enhanced Vegetation Index (EVI), for assessing access different types epidemiological studies. Methods We used Landsat 5–8 (30 m resolution) calculate average EVI 300 radius surrounding 1.4 million households Wales, UK 2018. calculated two additional measures using topographic vector data represent spaces within household locations. The vector-based were total area stratified by type and private garden size. linear regression models test whether could discriminate between publicly accessible Pearson correlation associations types. Results Mean Wales was 0.28 (IQR = 0.12). Total size significantly positively associated with corresponding (β < 0.0001, 95% CI: 0.0000, 0.0000; β 0.0001 respectively). In urban areas, as increases 1 2 , 0.0002. Therefore, see 0.1 unit increase index score, would need 500 . very small values no ‘measurable real-world’ associations. When type, we observed strong greenspace EVI. Impact It widely implemented assumption epidiological studies that an equivalent greenness and/or space. potential sources reflectance at neighbourhood level satellite imagery from compared ‘gold standard’ dataset defines spaces. found should be interpreted care greater score does not necessarily mean available hyperlocal environment.

Language: Английский

Citations

5
A machine learning approach to mapping suitable areas for forest vegetation in the eThekwini municipality DOI Creative Commons
Mthokozisi Ndumiso Mzuzuwentokozo Buthelezi, Romano Lottering, Kabir Peerbhay

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 35, P. 101208 - 101208

Published: April 23, 2024

Driven by climate change, global forests are undergoing significant transformations in growth, ecology, and distribution, necessitating informed restoration conservation strategies, particularly the eThekwini Municipality where anthropogenic activities exacerbate these trends. Modelling current forest suitability (2023) utilized bioclimatic variables from WorldClim dataset, alongside elevation slope Shuttle Radar Topography Mission (SRTM) with remote sensing data acquired Landsat 9 Sentinel 2A. Future (2021 – 2040) was projected also using two Global Climate Models (GCMs) under four Shared Socioeconomic Pathway (SSP)-based Representative Concentration (RCP) scenarios. Employing Random Forests (RF), Light Gradient Boosting (LightGBM), Artificial Neural Networks (ANN), processing carried out Google Earth Engine (GEE), QGIS Python, model accuracy primarily assessed Receiver Operating Characteristic (ROC) curves Area Under ROC Curve (AUC). LightGBM demonstrated superior performance, achieving AUCs of 96.88% 93.75% for future mapping, respectively, annual precipitation vegetation changes identified as crucial variables. Currently, 30% municipality's land is deemed suitable, concentrated central region. projections highlight mountainous north-western region most notably SSP370 scenario a suitable area 63%. Strategic recommendations include prioritizing reforestation efforts, engaging private landowners, exploring urban opportunities, implementing continuous monitoring adaptive management, thereby enhancing carbon sequestration, biodiversity conservation, ecosystem resilience. This study provides valuable insights decision-making despite inherent uncertainties.

Language: Английский

Citations

5
Assessment of spatial cyclone surge susceptibility through GIS-based AHP multi-criteria analysis and frequency ratio: a case study from the Bangladesh coast DOI Creative Commons
Abdullah Al Mamun, Li Zhang, Bowei Chen

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 15(1)

Published: July 3, 2024

Tropical cyclones, including surge inundation, are a common event in the coastal regions of Bangladesh. The washes out area within very short period and remains flooded condition for several days. Spatial analysis to understand susceptibility level can assist cyclone management system. Surge could be one most essential parts disaster risk reduction through which vulnerability minimized. A Geographic Information Systems-based analytical hierarchy process (AHP) multi-criteria bivariate frequency ratio (FR) techniques were conducted cyclone-prone on Bangladesh coast. total 10 criteria considered influential flooding, i.e. Topographic Wetness Index, elevation, wind velocity, slope, distance from sea rivers, drainage density, Land Use Cover, Normalized Difference Vegetation precipitation, soil types. final maps categorized into five classes, low, moderate, high, high. Conferring these policymakers make decisions future land use activities. According this research, AHP showed better precision (Receiver Operating Characteristic) than FR prediction

Language: Английский

Citations

5