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GIS-based land-use suitability analysis for urban agriculture development based on pollution distributions / Fatemeh Kazemi in Land use policy, vol 123 (December 2022)  

Public [article]  inLand use policy > vol 123 (December 2022) . - n° 106426 Titre : GIS-based land-use suitability analysis for urban agriculture development based on pollution distributions Type de document : Article/Communication Auteurs : Fatemeh Kazemi, Auteur ; Nazanin Hosseinpour, Auteur Année de publication : 2022 Article en page(s) : n° 106426 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] agriculture [Termes IGN] distribution spatiale [Termes IGN] espace vert [Termes IGN] Iran [Termes IGN] milieu urbain [Termes IGN] paysage urbain [Termes IGN] pollution atmosphérique [Termes IGN] pollution des sols [Termes IGN] processus de hiérarchisation analytique [Termes IGN] utilisation du sol Résumé : (auteur) With recent increases in urban population and development, agricultural lands have been changed to residential areas and industrial settlements. Such urban population growth increases necessitate emerging relatively new strategies and forms in urban parks and landscape designs to meet today's economic, social, and ecological needs toward sustainable development. Urban agriculture is one of the strategies for achieving sustainable development and creating multi-purpose landscapes. Such an approach appears to partially solve the problem of agricultural land reduction and degradation. However, urban pollutants seem to hinder the development of such a sustainable concept in the cities. This research aimed to identify suitable locations for urban agriculture in urban green spaces according to various contamination criteria and the uniform distribution of the green spaces in Mashhad, Iran. In this research, using an Analytical Hierarchy Process (AHP) and a Geographic Information System (GIS) facilitated the decision-making process. It also determined the importance of the land use criteria for urban agricultural development. The results showed that the most suitable areas for urban agricultural development with the least impact of pollutants in Mashhad were the suburbs, especially in the northeast and southeast parts. These research results have practical implications for planning urban agricultural development at the city level across the world. Numéro de notice : A2022-895 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.landusepol.2022.106426 Date de publication en ligne : 03/11/2022 En ligne : https://doi.org/10.1016/j.landusepol.2022.106426 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102244 [article]

Completeness assessment and improvement in mobile crowd-sensing environments / Souheir Mehanna in SN Computer Science, vol 3 n° 3 (May 2022)  

Public [article]  inSN Computer Science > vol 3 n° 3 (May 2022) . - n° 216 Titre : Completeness assessment and improvement in mobile crowd-sensing environments Type de document : Article/Communication Auteurs : Souheir Mehanna, Auteur ; Zoubida Kedad, Auteur ; Mohamed Chachoua , Auteur Année de publication : 2022 Projets : 2-Pas d'info accessible - article non ouvert / Article en page(s) : n° 216 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse multidimensionnelle [Termes IGN] exhaustivité des données [Termes IGN] indicateur de qualité [Termes IGN] pollution atmosphérique [Termes IGN] qualité de l'air [Termes IGN] qualité des données [Termes IGN] téléphonie mobile [Termes IGN] traitement de données localisées Résumé : (auteur) Mobile sensors are increasingly used to monitor air quality to accurately quantify human exposure to air pollution. These sensors are subject to various issues (misuse, malfunctions, battery problems, etc) that are likely to cause data quality problems. These quality problems may have a considerable impact on the reliability of analytical studies. In this work, we address the problem of data quality evaluation and improvement in mobile crowd-sensing environments. Our work is focused on the data completeness quality dimension. We introduce a multi-dimensional model to represent the data coming from the sensors in this context, and then present the different facets of data completeness inspired by the model. We propose quality indicators capturing different facets of completeness along with their corresponding quality metrics. We also propose an approach to improve data completeness by extending two existing data imputation techniques, SVDImpute and KNNImpute, with information about the sensor quality. Our experiments show that our quality-aware imputation approach improves the accuracy of the imputation achieved by the original techniques. Numéro de notice : A2022-454 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE/INFORMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s42979-022-01104-1 Date de publication en ligne : 10/04/2022 En ligne : http://dx.doi.org/10.1007/s42979-022-01104-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101084 [article]

Significant loss of ecosystem services by environmental changes in the Mediterranean coastal area / Adriano Conte in Forests, vol 13 n° 5 (May 2022)  

Public [article]  inForests > vol 13 n° 5 (May 2022) . - n° 689 Titre : Significant loss of ecosystem services by environmental changes in the Mediterranean coastal area Type de document : Article/Communication Auteurs : Adriano Conte, Auteur ; Ilaria Zappitelli, Auteur ; Lina Fusaro, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 689 Note générale : bilbliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Ecologie [Termes IGN] biodiversité [Termes IGN] écosystème [Termes IGN] forêt méditerranéenne [Termes IGN] Leaf Area Index [Termes IGN] littoral méditerranéen [Termes IGN] Pinus (genre) [Termes IGN] pollution atmosphérique [Termes IGN] puits de carbone [Termes IGN] Quercus suber [Termes IGN] Rome [Termes IGN] service écosystémique Résumé : (auteur) Mediterranean coastal areas are among the most threated forest ecosystems in the northern hemisphere due to concurrent biotic and abiotic stresses. These may affect plants functionality and, consequently, their capacity to provide ecosystem services. In this study, we integrated ground-level and satellite-level measurements to estimate the capacity of a 46.3 km2 Estate to sequestrate air pollutants from the atmosphere, transported to the study site from the city of Rome. By means of a multi-layer canopy model, we also evaluated forest capacity to provide regulatory ecosystem services. Due to a significant loss in forest cover, estimated by satellite data as −6.8% between 2014 and 2020, we found that the carbon sink capacity decreased by 34% during the considered period. Furthermore, pollutant deposition on tree crowns has reduced by 39%, 46% and 35% for PM, NO2 and O3, respectively. Our results highlight the importance of developing an integrated approach combining ground measurements, modelling and satellite data to link air quality and plant functionality as key elements to improve the effectiveness of estimate of ecosystem services. Numéro de notice : A2022-350 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.3390/f13050689 Date de publication en ligne : 28/04/2022 En ligne : https://doi.org/10.3390/f13050689 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100537 [article]

Variations of urban NO2 pollution during the COVID-19 outbreak and post-epidemic era in China: A synthesis of remote sensing and In situ measurements / Chunhui Zhao in Remote sensing, vol 14 n° 2 (January-2 2022)  

Public [article]  inRemote sensing > vol 14 n° 2 (January-2 2022) . - n° 419 Titre : Variations of urban NO2 pollution during the COVID-19 outbreak and post-epidemic era in China: A synthesis of remote sensing and In situ measurements Type de document : Article/Communication Auteurs : Chunhui Zhao, Auteur ; Chengzin Zhang, Auteur ; Jinan Lin, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 419 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] dioxyde d'azote [Termes IGN] épidémie [Termes IGN] image Sentinel-5P-TROPOMI [Termes IGN] impact sur l'environnement [Termes IGN] pollution atmosphérique [Termes IGN] qualité de l'air [Termes IGN] variation temporelle Résumé : (auteur) Since the COVID-19 outbreak in 2020, China’s air pollution has been significantly affected by control measures on industrial production and human activities. In this study, we analyzed the temporal variations of NO2 concentrations during the COVID-19 lockdown and post-epidemic era in 11 Chinese megacities by using satellite and ground-based remote sensing as well as in situ measurements. The average satellite tropospheric vertical column density (TVCD) of NO2 by TROPOMI decreased by 39.2–71.93% during the 15 days after Chinese New Year when the lockdown was at its most rigorous compared to that of 2019, while the in situ NO2 concentration measured by China National Environmental Monitoring Centre (CNEMC) decreased by 42.53–69.81% for these cities. Such differences between both measurements were further investigated by using ground-based multi-axis differential optical absorption spectroscopy (MAX-DOAS) remote sensing of NO2 vertical profiles. For instance, in Beijing, MAX-DOAS NO2 showed a decrease of 14.19% (versus 18.63% by in situ) at the ground surface, and 36.24% (versus 36.25% by satellite) for the total tropospheric column. Thus, vertical discrepancies of atmospheric NO2 can largely explain the differences between satellite and in situ NO2 variations. In the post-epidemic era of 2021, satellite NO2 TVCD and in situ NO2 concentrations decreased by 10.42–64.96% and 1.05–34.99% compared to 2019, respectively, possibly related to the reduction of the transportation industry. This study reveals the changes of China’s urban NO2 pollution in the post-epidemic era and indicates that COVID-19 had a profound impact on human social activities and industrial production. Numéro de notice : A2022-102 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3390/rs14020419 Date de publication en ligne : 17/01/2022 En ligne : https://doi.org/10.3390/rs14020419 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99567 [article]

GIS-based survey over the public transport strategy: An instrument for economic and sustainable urban traffic planning / Gabriela Droj in ISPRS International journal of geo-information, vol 11 n° 1 (January 2022)  

Public [article]  inISPRS International journal of geo-information > vol 11 n° 1 (January 2022) . - n° 16 Titre : GIS-based survey over the public transport strategy: An instrument for economic and sustainable urban traffic planning Type de document : Article/Communication Auteurs : Gabriela Droj, Auteur ; Laurentiu Droj, Auteur ; Ana-Cornelia Badea, Auteur Année de publication : 2022 Article en page(s) : n° 16 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse spatiale [Termes IGN] modèle mathématique [Termes IGN] planification urbaine [Termes IGN] pollution atmosphérique [Termes IGN] Roumanie [Termes IGN] trafic routier [Termes IGN] trafic urbain [Termes IGN] transport public Résumé : (auteur) Traffic has a direct impact on local and regional economies, on pollution levels and is also a major source of discomfort and frustration for the public who have to deal with congestion, accidents or detours due to road works or accidents. Congestion in urban areas is a common phenomenon nowadays, as the main arteries of cities become congested during peak hours or when there are additional constraints such as traffic accidents and road works that slow down traffic on road sections. When traffic increases, it is observed that some roads are predisposed to congestion, while others are not. It is evident that both congestion and urban traffic itself are influenced by several factors represented by complex geospatial data and the spatial relationships between them. In this paper were integrated mathematical models, real time traffic data with network analysis and simulation procedures in order to analyze the public transportation in Oradea and the impact on urban traffic. A mathematical model was also adapted to simulate the travel choices of the population of the city and of the surrounding villages. Based on the network analysis, traffic analysis and on the traveling simulation, the elements generating traffic congestion in the inner city can be easily determined. The results of the case study are emphasizing that diminishing the traffic and its effects can be obtained by improving either the public transport density or its accessibility. Numéro de notice : A2022-039 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi11010016 Date de publication en ligne : 30/12/2021 En ligne : https://doi.org/10.3390/ijgi11010016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99382 [article]

Towards synthetic sensing for smart cities : a machine/deep learning-based approach / Faraz Malik Awan (2022)  

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Vegetation changes in the understory of nitrogen-sensitive temperate forests over the past 70 years / Marina Roth in Forest ecology and management, vol 503 (January-1 2022)  

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Visual analysis of geospatial multivariate data for investigating radioactive deposition processes / Shigeo Takahashi in The Visual Computer, vol 37 n° 12 (December 2021)  

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The impact of air pollution on the growth of scots pine stands in poland on the basis of dendrochronological analyses / Longina Chojnacka-Ożga in Forests, vol 12 n° 10 (October 2021)  

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Scalable deep learning to identify brick kilns and aid regulatory capacity / Jihyeon Lee in Proceedings of the National Academy of Sciences of the United States of America PNAS, vol 118 n° 17 (27 April 2021)  

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Crowdsourcing without data bias: Building a quality assurance system for air pollution symptom mapping / Marta Samulowska in ISPRS International journal of geo-information, vol 10 n° 2 (February 2021)  

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Centrality and city size effects on NO2 ground and tropospheric concentrations within European cities / Yufei Wei (2021) 

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The strong and the stronger: The effects of increasing ozone and nitrogen dioxide concentrations in pollen of different forest species / Sónia Pereira in Forests, vol 12 n° 1 (January 2021)  

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Cyclists' exposure to air pollution and noise in Mexico City : contribution of real-time traffic density indicators integrated into GIS / Philippe Apparicio in Revue internationale de géomatique, vol 30 n° 3-4 (juillet - décembre 2020)  

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Mining spatiotemporal association patterns from complex geographic phenomena / Zhanjun He in International journal of geographical information science IJGIS, vol 34 n° 6 (June 2020)  

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