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Monitoring population dynamics in the Pearl River Delta from 2000 to 2010 / Sisi Yu in Geocarto international, vol 35 n° 14 ([15/10/2020])
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Titre : Monitoring population dynamics in the Pearl River Delta from 2000 to 2010 Type de document : Article/Communication Auteurs : Sisi Yu, Auteur ; ZengXiang Zhang, Auteur ; Fang Liu, Auteur Année de publication : 2020 Article en page(s) : pp 1511 - 1526 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes descripteurs IGN] agglomération
[Termes descripteurs IGN] croissance urbaine
[Termes descripteurs IGN] delta de la rivière des perles
[Termes descripteurs IGN] données démographiques
[Termes descripteurs IGN] image DMSP-OLS
[Termes descripteurs IGN] Kouangtoung (Chine)
[Termes descripteurs IGN] prise de vue nocturne
[Termes descripteurs IGN] recensement démographique
[Termes descripteurs IGN] répartition géographique
[Termes descripteurs IGN] série temporelle
[Termes descripteurs IGN] surveillance de l'urbanisationRésumé : (auteur) Although numerous literatures have documented the monitoring of population distributions and dynamics for socio-economic development, environmental protection, and urban planning on different scales, little attention has been paid to long-term and multi-frequency population evolution on urban agglomeration scale, especially in non-census years. Furthermore, although multi models have been applied to population spatialization based on night-time light imagery (NLT) and census data, their accuracy needs to be further improved. Selected the Pearl River Delta (PRD), China as the study area, this work aimed to solve the aforementioned problems by constructing the residential extent extraction index (REEI) and employing the population growth theory and ‘DN density–population density’ model. Results indicated that the proposed approaches were feasible to optimize NTL products and simulate populations in both census (2000, 2010) and non-census (2005) years. Population evolution in the PRD presented distinct differences from space and over time, and mainly driven by socioeconomic development. Numéro de notice : A2020-617 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1576778 date de publication en ligne : 28/05/2019 En ligne : https://doi.org/10.1080/10106049.2019.1576778 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95993
in Geocarto international > vol 35 n° 14 [15/10/2020] . - pp 1511 - 1526[article]Extracting impervious surfaces from full polarimetric SAR images in different urban areas / Sara Attarchi in International Journal of Remote Sensing IJRS, vol 41 n°12 (20 - 30 March 2020)
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Titre : Extracting impervious surfaces from full polarimetric SAR images in different urban areas Type de document : Article/Communication Auteurs : Sara Attarchi, Auteur Année de publication : 2020 Article en page(s) : pp 4644 - 4663 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes descripteurs IGN] bande L
[Termes descripteurs IGN] classification par séparateurs à vaste marge
[Termes descripteurs IGN] extraction de données
[Termes descripteurs IGN] image ALOS-PALSAR
[Termes descripteurs IGN] image radar moirée
[Termes descripteurs IGN] matrice de co-occurrence
[Termes descripteurs IGN] niveau de gris (image)
[Termes descripteurs IGN] polarimétrie radar
[Termes descripteurs IGN] précision de la classification
[Termes descripteurs IGN] radar à antenne synthétique
[Termes descripteurs IGN] surface imperméable
[Termes descripteurs IGN] surveillance de l'urbanisation
[Termes descripteurs IGN] texture d'image
[Termes descripteurs IGN] zone urbaineRésumé : (auteur) Accurate mapping of impervious surface in urban areas is of great demand in environmental and socio-economic studies since impervious surface growth is recognized as an indicator of urbanization. To demonstrate the potential of full polarimetric Synthetic Aperture Radar (SAR) in impervious surface detection in different urban areas, this study focused on the exploitation of only SAR data. Three cities with different levels of urbanization – Tehran, Kordkuy, and Arak – have been selected to reduce the effect of input data on achieved results. Advanced Land Observing Satellite/Phased Array L-band Synthetic Aperture Radar (ALOS/PALSAR) images have been classified by support vector machine (SVM) with the help of training data from high-resolution satellite images. Quantitative assessment of classification accuracy revealed that Kordkuy, a not fully developed city (i.e. 84.2%) has the lowest accuracy and Arak, a medium urbanized city, has the highest accuracy (i.e. 90.0%). To further explore the efficiency of full polarimetric SAR, grey level co-occurrence matrix (GLCM) texture of polarized bands has been extracted and put into the classification procedure. The texture information of SAR data provided positive contribution to the impervious surface estimation in three study cases. The improvement is especially noted in dark impervious surface class. All three study areas show an increase of about 6–8% in classification accuracy. The results prove that single use of full polarimetric SAR images holds high potential in identifying impervious surfaces in urban areas. The findings are of great importance in frequent urban impervious surface mapping and monitoring especially in cloud-prone area, where the use of optical data as well as the fusion of optic and SAR data are limited. Numéro de notice : A2020-451 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431161.2020.1723178 date de publication en ligne : 24/02/2020 En ligne : https://doi.org/10.1080/01431161.2020.1723178 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95539
in International Journal of Remote Sensing IJRS > vol 41 n°12 (20 - 30 March 2020) . - pp 4644 - 4663[article]
Titre : Remote sensing for target object detection and identification Type de document : Monographie Auteurs : Gemine Vivone, Editeur scientifique ; Paolo Addesso, Editeur scientifique ; Amanda Ziemann, Editeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 336 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03928-333-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes descripteurs IGN] détection d'objet
[Termes descripteurs IGN] détection de cible
[Termes descripteurs IGN] image captée par drone
[Termes descripteurs IGN] image hyperspectrale
[Termes descripteurs IGN] image radar moirée
[Termes descripteurs IGN] surveillance de l'urbanisation
[Termes descripteurs IGN] surveillance écologiqueRésumé : (éditeur) Target object detection and identification are among the primary uses for a remote sensing system. This is crucial in several fields, including environmental and urban monitoring, hazard and disaster management, and defense and military. In recent years, these analyses have used the tremendous amount of data acquired by sensors mounted on satellite, airborne, and unmanned aerial vehicle (UAV) platforms. This book promotes papers exploiting different remote sensing data for target object detection and identification, such as synthetic aperture radar (SAR) imaging and multispectral and hyperspectral imaging. Several cutting-edge contributions, which provide examples of how to select of a technology or another depending on the specific application, will be detailed. Note de contenu : Editorial
1- Pixel tracking to estimate rivers water flow elevation using Cosmo-SkyMed synthetic aperture radar data
2- Flood distance algorithms and fault hidden danger recognition for transmission line towers based on SAR Images
3- Geospatial object detection on high resolution remote sensing imagery based on double multi-scale feature pyramid network
4- A novel multi-model decision fusion network for object detection in remote sensing images
5- Local region proposing for frame-based vehicle detection in satellite videos
6- Efficient object detection framework and hardware architecture for remote sensing images
7- Unsupervised saliency model with color Markov chain for oil tank detection
8- Affine-function transformation-based object matching for vehicle detection from unmanned aerial vehicle imagery
9- Hyperspectral anomaly detection via dictionary construction-based low-rank representation and adaptive weighting
10- Infrared small target detection based on non-convex optimization with Lp-Norm constraint
11- Infrared small target detection based on partial sum of the tensor nuclear norm
12- Infrared small-faint target detection using non-i.i.d. mixture of Gaussians and flux density
13- Mask sparse representation based on semantic features for thermal infrared target tracking
14- Infrared optical observability of an earth entry orbital test vehicle using ground-based remote sensorsNuméro de notice : 25885 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie DOI : 10.3390/books978-3-03928-333-0 En ligne : https://doi.org/10.3390/books978-3-03928-333-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95781
Titre : Sustainable land management in a European context : A co-design approach Type de document : Monographie Auteurs : Thomas Weith, Editeur scientifique ; Tim Barkmann, Auteur ; Nadin Gaasch, Editeur scientifique ; et al., Editeur scientifique Editeur : Springer Nature Année de publication : 2020 Importance : 347 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-50841-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Ecologie
[Termes descripteurs IGN] aménagement durable
[Termes descripteurs IGN] aménagement rural
[Termes descripteurs IGN] changement d'utilisation du sol
[Termes descripteurs IGN] écosystème
[Termes descripteurs IGN] Europe (géographie politique)
[Termes descripteurs IGN] géosciences
[Termes descripteurs IGN] gestion foncière
[Termes descripteurs IGN] gestion forestière durable
[Termes descripteurs IGN] paysage urbain
[Termes descripteurs IGN] politique communautaire
[Termes descripteurs IGN] recherche interdisciplinaire
[Termes descripteurs IGN] sciences de l'environnement
[Termes descripteurs IGN] surface cultivée
[Termes descripteurs IGN] surveillance de l'urbanisationRésumé : (éditeur) This open access book presents and discusses current issues and innovative solution approaches for land management in a European context. Manifold sustainability issues are closely interconnected with land use practices. Throughout the world, we face increasing conflict over the use of land as well as competition for land. Drawing on experience in sustainable land management gained from seven years of the FONA programme (Research for Sustainable Development, conducted under the auspices of the German Federal Ministry of Education and Research), the book stresses and highlights co-design processes within the "co-creation of knowledge", involving collaboration in transdisciplinary research processes between academia and other stakeholders. The book begins with an overview of the current state of land use practices and the subsequent need to manage land resources more sustainably. New system solutions and governance approaches in sustainable land management are presented from a European perspective on land use. The volume also addresses how to use new modes of knowledge transfer between science and practice. New perspectives in sustainable land management and methods of combining knowledge and action are presented to a broad readership in land system sciences and environmental sciences, social sciences and geosciences. Note de contenu : 1- Land-use: State and drivers in Europe
2- Co-production of knowledge
3- Co-evolution: New system solutions and governance
4- OutlookNuméro de notice : 25987 Affiliation des auteurs : non IGN Thématique : FORET Nature : Recueil / ouvrage collectif DOI : 10.1007/978-3-030-50841-8 En ligne : https://doi.org/10.1007/978-3-030-50841-8 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96745 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)
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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 descripteurs IGN] aide à la décision
[Termes descripteurs IGN] analyse diachronique
[Termes descripteurs IGN] Asie du sud-est
[Termes descripteurs IGN] climat tropical
[Termes descripteurs IGN] couvert végétal
[Termes descripteurs IGN] ilot thermique urbain
[Termes descripteurs IGN] image Landsat
[Termes descripteurs IGN] montagne
[Termes descripteurs IGN] Philippines
[Termes descripteurs IGN] surface imperméable
[Termes descripteurs IGN] surveillance de l'urbanisation
[Termes descripteurs IGN] température de surface
[Termes descripteurs IGN] urbanisme
[Termes descripteurs 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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