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Urban heat island formation in greater Cairo: Spatio-temporal analysis of daytime and nighttime land surface temperatures along the urban–rural gradient / Darshana Athukorala in Remote sensing, vol 13 n° 7 (April-1 2021)
[article]
Titre : Urban heat island formation in greater Cairo: Spatio-temporal analysis of daytime and nighttime land surface temperatures along the urban–rural gradient Type de document : Article/Communication Auteurs : Darshana Athukorala, Auteur ; Yuji Murayama, Auteur Année de publication : 2021 Article en page(s) : n° 1396 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] apprentissage automatique
[Termes IGN] espace vert
[Termes IGN] Google Earth Engine
[Termes IGN] ilot thermique urbain
[Termes IGN] image Aqua-MODIS
[Termes IGN] image Landsat-OLI
[Termes IGN] image Landsat-TIRS
[Termes IGN] image Landsat-TM
[Termes IGN] image Terra-MODIS
[Termes IGN] Le Caire
[Termes IGN] nuit
[Termes IGN] température au sol
[Termes IGN] urbanisme
[Termes IGN] variation diurne
[Termes IGN] zone rurale
[Termes IGN] zone urbaineRésumé : (auteur) An urban heat island (UHI) is a significant anthropogenic modification of urban land surfaces, and its geospatial pattern can increase the intensity of the heatwave effects. The complex mechanisms and interactivity of the land surface temperature in urban areas are still being examined. The urban–rural gradient analysis serves as a unique natural opportunity to identify and mitigate ecological worsening. Using Landsat Thematic Mapper (TM), Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) and Moderate Resolution Imaging Spectroradiometer (MODIS), Land Surface Temperature (LST) data in 2000, 2010, and 2019, we examined the spatial difference in daytime and nighttime LST trends along the urban–rural gradient in Greater Cairo, Egypt. Google Earth Engine (GEE) and machine learning techniques were employed to conduct the spatio-temporal analysis. The analysis results revealed that impervious surfaces (ISs) increased significantly from 564.14 km2 in 2000 to 869.35 km2 in 2019 in Greater Cairo. The size, aggregation, and complexity of patches of ISs, green space (GS), and bare land (BL) showed a strong correlation with the mean LST. The average urban–rural difference in mean LST was −3.59 °C in the daytime and 2.33 °C in the nighttime. In the daytime, Greater Cairo displayed the cool island effect, but in the nighttime, it showed the urban heat island effect. We estimated that dynamic human activities based on the urban structure are causing the spatial difference in the LST distribution between the day and night. The urban–rural gradient analysis indicated that this phenomenon became stronger from 2000 to 2019. Considering the drastic changes in the spatial patterns and the density of IS, GS, and BL, urban planners are urged to take immediate steps to mitigate increasing surface UHI; otherwise, urban dwellers might suffer from the severe effects of heatwaves. Numéro de notice : A2021-352 Affiliation des auteurs : non IGN Thématique : IMAGERIE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/rs13071396 Date de publication en ligne : 05/04/2021 En ligne : https://doi.org/10.3390/rs13071396 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97602
in Remote sensing > vol 13 n° 7 (April-1 2021) . - n° 1396[article]Spatio-temporal analysis of urbanization using GIS and remote sensing in developing countries / Yuji Murayama (2021)
Titre : Spatio-temporal analysis of urbanization using GIS and remote sensing in developing countries Type de document : Monographie Auteurs : Yuji Murayama, Éditeur scientifique ; Matamyo Simwanda, Éditeur scientifique ; Manjula Ranagalage, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 327 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-3-0365-2540-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] Chine
[Termes IGN] croissance urbaine
[Termes IGN] ilot thermique urbain
[Termes IGN] image satellite
[Termes IGN] occupation du sol
[Termes IGN] pays en développement
[Termes IGN] planification urbaine
[Termes IGN] système d'information géographique
[Termes IGN] urbanisation
[Termes IGN] ville durableRésumé : (éditeur) Over the last two decades, many researchers have focused on developing countries' urbanization patterns and processes. In this context, the scarcity of spatial data has been an obstacle to studying urbanization quantitatively, especially in Asian and African cities. The use of remote sensing data and geographical information systems (GIS) techniques can overcome the above limitations. Data on land use and land cover, land surface temperature, population density, and energy consumption can be extracted based on remote sensing at various spatial and temporal resolutions. GIS techniques can be used to analyze urbanization patterns and predict future patterns. Thus, the link between urbanization and sustainable urban development has increasingly become a principal issue in designing and developing sustainable cities at the local, regional, and global levels. This volume shows the spatiotemporal analysis of urbanization using GIS and remote sensing in developing countries, with a special emphasis on future urban sustainability in Asia and Africa. Capturing the spatial-temporal variation of urbanization patterns will help introduce proper sustainable urban planning in developing countries, especially for Asian and African cities. Note de contenu : 1- A cellular automata model constrained by spatiotemporal heterogeneity of the urban development strategy for simulating land-use change: A case study in Nanjing City, China
2- Remote sensing-based analysis of landscape pattern evolution in industrial rural areas: A case of southern Jiangsu, China
3- Spatial-temporal dynamic analysis of land use and landscape pattern in Guangzhou, China: Exploring
the driving forces from an urban sustainability perspective
4- Quantitative influence of land-use changes and urban expansion intensity on landscape pattern in Qingdao, China: Implications for urban sustainability
5- An analysis of urban land use/land cover changes in Blantyre City, Southern Malawi (1994–2018)
6- Spatiotemporal patterns and driving forces of urban expansion in coastal areas: A study on urban agglomeration in the Pearl River Delta, China
7- Spatiotemporal patterns and drivers of the surface urban heat island in 36 major cities in China: A comparison of two different methods for delineating rural areas
8- The impacts of the expansion of urban impervious surfaces on urban heat islands in a coastal city in China
9- The impacts of landscape changes on annual mean land surface temperature in the tropical mountain city of Sri Lanka: A case study of Nuwara Eliya (1996–2017)
10- Impact of landscape structure on the variation of land surface temperature in Sub-Saharan region: A case study of Addis Ababa using Landsat data (1986–2016)
11- Analysis of life quality in a tropical mountain city using a multi-criteria geospatial technique: A case study of Kandy City, Sri Lanka
12- Spatiotemporal analysis of the nonlinear negative relationship between urbanization and habitat quality in metropolitan areas
13- Dynamic monitoring and analysis of ecological quality of Pingtan comprehensive experimental zone, a new type of Sea Island City, based on RSEI
14- Role of urban public space and the surrounding environment in promoting sustainable development from the lens of social media
15- Comparison on multi-scale urban expansion derived from nightlight imagery between China and India
16- Impact of COVID-19 induced lockdown on environmental quality in four Indian megacities using Landsat 8 OLI and TIRS-derived data and Mamdani fuzzy logic modelling approachNuméro de notice : 28675 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE/URBANISME Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-2540-2 En ligne : https://doi.org/10.3390/books978-3-0365-2540-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99923 Monitoring surface urban heat island formation in a tropical mountain city using Landsat data (1987–2015) / Ronald C. Estoque in ISPRS Journal of photogrammetry and remote sensing, vol 133 (November 2017)
[article]
Titre : Monitoring surface urban heat island formation in a tropical mountain city using Landsat data (1987–2015) Type de document : Article/Communication Auteurs : Ronald C. Estoque, Auteur ; Yuji Murayama, Auteur Année de publication : 2017 Article en page(s) : pp 18 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aide à la décision
[Termes IGN] analyse diachronique
[Termes IGN] Asie du sud-est
[Termes IGN] climat tropical
[Termes IGN] couvert végétal
[Termes IGN] ilot thermique urbain
[Termes IGN] image Landsat
[Termes IGN] montagne
[Termes IGN] Philippines
[Termes IGN] surface imperméable
[Termes IGN] surveillance de l'urbanisation
[Termes IGN] température de surface
[Termes IGN] urbanisme
[Termes IGN] villeRésumé : (Auteur) Since it was first described about two centuries ago and due to its adverse impacts on urban ecological environment and the overall livability of cities, the urban heat island (UHI) phenomenon has been, and still is, an important research topic across various fields of study. However, UHI studies on cities in mountain regions are still lacking. This study aims to contribute to this endeavor by monitoring and examining the formation of surface UHI (SUHI) in a tropical mountain city of Southeast Asia –Baguio City, the summer capital of the Philippines– using Landsat data (1987–2015). Based on mean surface temperature difference between impervious surface (IS) and green space (GS1), SUHI intensity (SUHII) in the study area increased from 2.7 °C in 1987 to 3.4 °C in 2015. Between an urban zone (>86% impervious) and a rural zone ( Numéro de notice : A2017-720 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.09.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2017.09.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88405
in ISPRS Journal of photogrammetry and remote sensing > vol 133 (November 2017) . - pp 18 - 29[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2017111 RAB Revue Centre de documentation En réserve L003 Disponible 081-2017112 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt 081-2017113 DEP-EXM Revue Saint-Mandé Dépôt en unité Exclu du prêt Measuring urban volume: geospatial technique and application / Ronald C. Estoque in Tsukuba geoenvironmental sciences, vol 11 ([01/12/2015])
[article]
Titre : Measuring urban volume: geospatial technique and application Type de document : Article/Communication Auteurs : Ronald C. Estoque, Auteur ; Yuji Murayama, Auteur ; Takeo Tadono, Auteur ; Rajesh B. Thapa, Auteur Année de publication : 2015 Article en page(s) : pp 13 - 20 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse spatiale
[Termes IGN] hauteur du bâti
[Termes IGN] image ALOS-PRISM
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique du bâti
[Termes IGN] volume (grandeur)
[Termes IGN] zone urbaineRésumé : (auteur) Geospatial techniques based on remote sensing and geographic information system (GIS) are important in urban studies. However, based on traditional techniques, the analysis of the intensity ans spatial pattern of urban land use is, in most cases, based only on the lateral extent of built-up lands (two-dimensional). The increasing availability of geospatial data, such remote sensing satellite imageries and digital surfaces models, provides an opportunity for the integration of the third dimension in urban analysis, i.e. height of urban features such as high-rise buildings, into urban studies, and thus enables the estimation of the so-called urban volume. This study introduces a geospatial technique for estimating urban volume, focusing on the use of a digital surface model (DSM) derived from Alos PRISM data. It also presents a method for deriving a digital terrain model (DTM) from a DSM. The proposed technique was tested in Makati City, Metro Manila, Philippines. Overall, the results show that the proposed technique is capable of taking into consideration the height dimension in urban analysis. The proposed two-step grid-based method for deriving a DTM from DSM is also implementable and promising. In this method, there is a need to calibrate the size of the mesh for identifying the pixels or points to be used in DTM interpolation. This is because different mesh size can produce subtantially different DTMs, suface feature height values and urban volumes estimates. Numéro de notice : A2015--037 Affiliation des auteurs : non IGN Thématique : IMAGERIE/URBANISME Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81048
in Tsukuba geoenvironmental sciences > vol 11 [01/12/2015] . - pp 13 - 20[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 15916-01 37.20 Tiré à part Centre de documentation Revues en salle Disponible Geospatial analysis of urban landscape patterns in three major cities of Southeast Asia / Ronald C. Estoque in Tsukuba geoenvironmental sciences, vol 10 (december 2014)
[article]
Titre : Geospatial analysis of urban landscape patterns in three major cities of Southeast Asia Type de document : Article/Communication Auteurs : Ronald C. Estoque, Auteur ; Yuji Murayama, Auteur ; Courage Kamusoko, Auteur ; Akio Yamashita, Auteur Année de publication : 2014 Article en page(s) : pp 3 - 10 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] Bangkok (Thaïlande)
[Termes IGN] connexité (topologie)
[Termes IGN] densité
[Termes IGN] image Landsat
[Termes IGN] Jakarta (Indonésie)
[Termes IGN] Manille (Philippines)
[Termes IGN] paysage urbain
[Termes IGN] plan de déplacement urbain
[Termes IGN] urbanisation
[Termes IGN] utilisation du solRésumé : (auteur) Using a geospatial approach that integrates gradient analysis and landscape metrics, this study examines and compares the urban landscape patterns of three major cities of Southeast Asia, namely Bangkok, Jakarta, and Manila. Landsat-8 imageries for 2013 and 2014 were used to classify the urban land-use/cover of the three cities. Furthermore, various class-level landscape metrics were computed to facilitate spatial analysis. The results reveal that the proportional extent or density and physical connectedness of built-up lands in the three cities are inversely related to the gradient of the distance from the city center. In contrast, the fragmentation of built-up lands is directly related to the gradient of the distance from the city center. In the comparison of the three cities, the density of the urban development of Manila is relatively higher than that of Bangkok, but more especially that of Jakarta. The urban landscape of Jakarta is relatively more fragmented or dispersed than that of Bangkok, but more especially that of Manila. In terms of physical connectedness, Manila’s urban landscape is relatively more aggregated than that of Bangkok, but more especially that of Jakarta. The study results show that the gradient analysis and landscape metrics integrated approach can be used to examine and compare the spatial patterns of various complex urban landscapes. Numéro de notice : 15895 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : http://hdl.handle.net/2241/00123143 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79051
in Tsukuba geoenvironmental sciences > vol 10 (december 2014) . - pp 3 - 10[article]Documents numériques
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