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Identification of urban sectors prone to solid waste accumulation: A machine learning approach based on social indicators / Luis Izquierdo-Horna in Computers, Environment and Urban Systems, vol 96 (September 2022)
[article]
Titre : Identification of urban sectors prone to solid waste accumulation: A machine learning approach based on social indicators Type de document : Article/Communication Auteurs : Luis Izquierdo-Horna, Auteur ; Miker Damazo, Auteur ; Deyvis Yanayaco, Auteur Année de publication : 2022 Article en page(s) : n° 101834 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] apprentissage automatique
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] déchet
[Termes IGN] densité de population
[Termes IGN] données socio-économiques
[Termes IGN] Pérou
[Termes IGN] régression logistique
[Termes IGN] zone urbaineRésumé : (auteur) In the last decades, the accumulation of municipal solid waste in urban areas has become a latent concern in our society due to its implications for the exposed population and the possible health and environmental issues it may cause. In this sense, this research study contributes to the timely identification of these sectors according to the anthropogenic characteristics of their residents as dictated by 10 social indicators (i.e., age, education, income, among others) sorted into three assessment categories (sociodemographic, sociocultural, and socioeconomic). Then, the data collected was processed and analyzed using two machine learning algorithms (random forest (RF) and logistic regression (LR)). The primary information that fed the machine learning model was collected through field visits and local/national reports. For this research, the Puente Piedra and Chaclacayo districts, both located in the province of Lima, Peru, were selected as case studies. Results suggest that the most relevant social indicators that help identifying these sectors are monthly income, consumption patterns, age, and household population density. The experiments showed that the RF algorithm has the best performance, since it efficiently identified 63% of the possible solid waste accumulation zones. In addition, both models were capable of determining different classes (AUC – RF = 0.65, AUC – LR = 0.71). Finally, the proposed approach is applicable and reproducible in different sectors of the national Peruvian territory. Numéro de notice : A2022-512 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.compenvurbsys.2022.101834 Date de publication en ligne : 10/06/2022 En ligne : https://doi.org/10.1016/j.compenvurbsys.2022.101834 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101052
in Computers, Environment and Urban Systems > vol 96 (September 2022) . - n° 101834[article]Large-area high spatial resolution albedo retrievals from remote sensing for use in assessing the impact of wildfire soot deposition on high mountain snow and ice melt / André Bertoncini in Remote sensing of environment, vol 278 (September 2022)
[article]
Titre : Large-area high spatial resolution albedo retrievals from remote sensing for use in assessing the impact of wildfire soot deposition on high mountain snow and ice melt Type de document : Article/Communication Auteurs : André Bertoncini, Auteur ; Caroline Aubry-Wake, Auteur ; John W. Pomeroy, Auteur Année de publication : 2022 Article en page(s) : n° 113101 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] albedo
[Termes IGN] Colombie-Britannique (Canada)
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] fonte des glaces
[Termes IGN] glacier
[Termes IGN] Google Earth Engine
[Termes IGN] image Sentinel-MSI
[Termes IGN] image SRTM
[Termes IGN] image Terra-MODIS
[Termes IGN] incendie de forêt
[Termes IGN] montagne
[Termes IGN] neige
[Termes IGN] pouvoir de résolution radiométriqueRésumé : (auteur) Soot deposition from wildfires decreases snow and ice albedo and increases the absorption of shortwave radiation, which advances and accelerates melt. Soot deposition also induces algal growth, which further decreases snow and ice albedo. In recent years, increasingly severe and widespread wildfire activity has occurred in western Canada in association with climate change. In the summers of 2017 and 2018, westerly winds transported smoke from extensive record-breaking wildfires in British Columbia eastward to the Canadian Rockies, where substantial amounts of soot were deposited on high mountain glaciers, snowfields, and icefields. Several studies have addressed the problem of soot deposition on snow and ice, but the spatiotemporal resolution applied has not been compatible with studying mountain icefields that are extensive but contain substantial internal variability and have dynamical albedos. This study evaluates spatial patterns in the albedo decrease and net shortwave radiation (K*) increase caused by soot from intense wildfires in Western Canada deposited on the Columbia Icefield (151 km2), Canadian Rockies, during 2017 and 2018. Twelve Sentinel-2 images were used to generate high spatial resolution albedo retrievals during four summers (2017 to 2020) using a MODIS bidirectional reflectance distribution function (BRDF) model, which was employed to model the snow and ice reflectance anisotropy. Remote sensing estimates were evaluated using site-measured albedo on the icefield's Athabasca Glacier tongue, resulting in a R2, mean bias, and root mean square error (RMSE) of 0.68, 0.019, and 0.026, respectively. The biggest inter-annual spatially averaged soot-induced albedo declines were of 0.148 and 0.050 (2018 to 2020) for southeast-facing glaciers and the snow plateau, respectively. The highest inter-annual spatially-averaged soot-induced shortwave radiative forcing was 203 W/m2 for southeast-facing glaciers (2018 to 2020) and 106 W/m2 for the snow plateau (2017 to 2020). These findings indicate that snow albedo responded rapidly to and recovered rapidly from soot deposition. However, ice albedo remained low the year after fire, and this was likely related to a bio-albedo feedback involving microorganisms. Snow and ice K* were highest during low albedo years, especially for south-facing glaciers. These large-scale effects accelerated melt of the Columbia Icefield. The findings highlight the importance of using large-area high spatial resolution albedo estimates to analyze the effect of wildfire soot deposition on snow and ice albedo and K* on icefields, which is not possible using other approaches. Numéro de notice : A2022-466 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.rse.2022.113101 Date de publication en ligne : 30/05/2022 En ligne : https://doi.org/10.1016/j.rse.2022.113101 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100800
in Remote sensing of environment > vol 278 (September 2022) . - n° 113101[article]Parcel Manager: A parcel reshaping model incorporating design rules of residential development / Maxime Colomb in Transactions in GIS, vol 26 n° 6 (September 2022)
[article]
Titre : Parcel Manager: A parcel reshaping model incorporating design rules of residential development Type de document : Article/Communication Auteurs : Maxime Colomb , Auteur ; Cécile Tannier, Auteur ; Julien Perret , Auteur ; Paul Chapron , Auteur ; Mickaël Brasebin , Auteur Année de publication : 2022 Projets : 3-projet - voir note / Article en page(s) : pp 2558 - 2597 Note générale : bibliographie
This research benefited from the financial support of the I-SITE University Bourgogne Franche-Comté as part of the project PubPrivLands.Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] bâtiment
[Termes IGN] code source libre
[Termes IGN] construction
[Termes IGN] densification
[Termes IGN] figure géométrique
[Termes IGN] habitat urbain
[Termes IGN] logiciel libre
[Termes IGN] parcelle cadastrale
[Termes IGN] règle d'urbanismeRésumé : (auteur) Parcels are the smallest units of land usually considered for urban development purposes. Analyses at the parcel level allow taking into account the administrative and physical environment of buildings with accuracy (roads, surrounding buildings, local design rules for building construction). In this article, we propose a free and open source software application, namely Parcel Manager, whose aims are twofold: (1) to assess the effects of different parcel reshaping rules and planning principles on the location, the number, and the shape of reshaped parcels; and (2) to provide a basis to assess the potential for new building construction. To this end, Parcel Manager simulates a large variety of parcel reshaping processes, with or without the joint creation of new roads, and produces realistic parcel layouts that represent either infill urban developments, edge expansions, or leapfrog developments. It can be used to determine if the densification of built parcels is feasible or not, regarding planning and design rules as well as the current urban fabric. The current version of Parcel Manager only concerns the reshaping of parcels dedicated to the construction of residential buildings but not other types of buildings. Numéro de notice : A2022-577 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : vers HAL Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12970 Date de publication en ligne : 03/08/2022 En ligne : https://doi.org/10.1111/tgis.12970 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101335
in Transactions in GIS > vol 26 n° 6 (September 2022) . - pp 2558 - 2597[article]Point-of-interest detection from Weibo data for map updating / Xue Yang in Transactions in GIS, vol 26 n° 6 (September 2022)
[article]
Titre : Point-of-interest detection from Weibo data for map updating Type de document : Article/Communication Auteurs : Xue Yang, Auteur ; Jie Gao, Auteur ; Xiaoyun Zheng, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 2716 - 2738 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] commerce de détail
[Termes IGN] détection automatique
[Termes IGN] détection de changement
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] géocodage
[Termes IGN] inférence
[Termes IGN] information sémantique
[Termes IGN] mise à jour cartographique
[Termes IGN] point d'intérêt
[Termes IGN] Wuhan (Chine)Résumé : (auteur) Points-of-interest (POIs) geographic information system data are increasingly important for supporting map generation and navigation services, although updating their semantic and location information still largely depends on manual labor. In this study, we propose a novel method to automatically detect the changes in POIs from Chinese text and check-in position data provided by the Chinese social media platform, Weibo. The proposed method includes three steps: (1) POI name recognition; (2) location confirmation; (3) and change detection. First, we propose recognizing a POI's name from Weibo text using the improved conditional random field algorithm. Then, we detect the location of each named POI by integrating the text address with the check-in position. The changes in the detected POIs are recognized by extracting the status words from Weibo text and a three-level status word database. To verify the effectiveness of the proposed method, we examine Wuhan as a case and detect the changes in the commercial POI using real-world Weibo data collected from January to September 2020. Based on the validation of three common map platforms, the data provided and the manual field investigation of 55 random samples, the identification accuracies for newly added POIs, the unchanged POIs, and expired POIs are approximately 100, 95.8, and 91.7%, respectively. Numéro de notice : A2022-734 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1111/tgis.12982 Date de publication en ligne : 04/09/2022 En ligne : https://doi.org/10.1111/tgis.12982 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101701
in Transactions in GIS > vol 26 n° 6 (September 2022) . - pp 2716 - 2738[article]"Process toponymy": A GIS-based community-engaged approach to indigenous dynamic place naming systems and vernacular cartography / Nadezhda Mamontova in Cartographica, vol 57 n° 3 (September 2022)
[article]
Titre : "Process toponymy": A GIS-based community-engaged approach to indigenous dynamic place naming systems and vernacular cartography Type de document : Article/Communication Auteurs : Nadezhda Mamontova, Auteur ; Elena Klyachko, Auteur Année de publication : 2022 Article en page(s) : pp 213 - 225 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Toponymie
[Termes IGN] carte thématique
[Termes IGN] ontologie
[Termes IGN] portail
[Termes IGN] sémiologie graphique
[Termes IGN] Sibérie
[Termes IGN] système d'information géographique
[Termes IGN] toponymie localeRésumé : (auteur) This paper discusses the aim and the process of designing a community-engaged open-access GIS toponymic platform, based on Indigenous Evenki place names. Most projects on Indigenous toponymy available online are either oriented towards professional use among scholars or serve as enclosed repositories of Indigenous knowledge. Toponymic atlases remain the most common form of documenting and representing Indigenous place naming systems. Yet, temporal and geographic comparisons of place names have clearly demonstrated that, along with a conventional understanding of Indigenous place names as stable and conservative, there is a dynamic model of place naming to be found in nomadic societies, when the names are not only passed through generations but also modified and created. This finding required a number of methodological approaches regarding how researchers might collect and represent geospatial concepts and place names in nomadic societies, with the use of GIS technology. Our project attempts to approach this issue by creating an open digital platform that combines GIS with Indigenous vernacular cartography, place names, and a great variety of data regarding the meaning and use of toponyms, their evolution, and change. We call this approach a “process toponymy” and advocate for applying a semiotic approach to documenting and representing Indigenous place names’ knowledge via GIS-based platforms. Numéro de notice : A2022-848 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart-2022-0010 Date de publication en ligne : 02/11/2022 En ligne : https://doi.org/10.3138/cart-2022-0010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102086
in Cartographica > vol 57 n° 3 (September 2022) . - pp 213 - 225[article]Exemplaires(1)
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