Geocarto international . vol 29 n° 1 - 2Mention de date : February - April 2014 Paru le : 01/02/2014 |
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Ajouter le résultat dans votre panierStatistical data fusion of multi-sensor AOD over the Continental United States / Sweta Jinnagara Puttaswamy in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)
[article]
Titre : Statistical data fusion of multi-sensor AOD over the Continental United States Type de document : Article/Communication Auteurs : Sweta Jinnagara Puttaswamy, Auteur ; Hai M. Nguyen, Auteur ; Amy Braverman, Auteur ; Xuefei Hu, Auteur ; Yang Liu, Auteur Année de publication : 2014 Article en page(s) : pp 48 - 64 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] aérosol
[Termes IGN] données de terrain
[Termes IGN] Etats-Unis
[Termes IGN] fusion de données
[Termes IGN] image GOES
[Termes IGN] image Terra-MODIS
[Termes IGN] interpolation linéaire
[Termes IGN] krigeage
[Termes IGN] profondeurRésumé : (Auteur) This article illustrates two techniques for merging daily aerosol optical depth (AOD) measurements from satellite and ground-based data sources to achieve optimal data quality and spatial coverage. The first technique is a traditional Universal Kriging (UK) approach employed to predict AOD from multi-sensor aerosol products that are aggregated on a reference grid with AERONET as ground truth. The second technique is spatial statistical data fusion (SSDF); a method designed for massive satellite data interpolation. Traditional kriging has computational complexity O(N3), making it impractical for large datasets. Our version of UK accommodates massive data inputs by performing kriging locally, while SSDF accommodates massive data inputs by modelling their covariance structure with a low-rank linear model. In this study, we use aerosol data products from two satellite instruments: the moderate resolution imaging spectrometer and the geostationary operational environmental satellite, covering the Continental United States. Numéro de notice : A2014-234 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.827750 Date de publication en ligne : 10/09/2013 En ligne : https://doi.org/10.1080/10106049.2013.827750 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33137
in Geocarto international > vol 29 n° 1 - 2 (February - April 2014) . - pp 48 - 64[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Environmental public health applications using remotely sensed data / Mohammad Z. Al-Hamdan in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)
[article]
Titre : Environmental public health applications using remotely sensed data Type de document : Article/Communication Auteurs : Mohammad Z. Al-Hamdan, Auteur ; William L. Crosson, Auteur ; Sigrid A. Economou, Auteur ; Maurice G. Estes, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 85 - 98 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aide à la décision
[Termes IGN] image satellite
[Termes IGN] risque environnemental
[Termes IGN] santé
[Termes IGN] surveillance sanitaire
[Termes IGN] système d'information géographique
[Termes IGN] température au solRésumé : (Auteur) We describe a remote sensing and geographic information system (GIS)-based study that has three objectives: (1) characterize fine particulate matter (PM2.5), insolation and land surface temperature (LST) using NASA satellite observations, Environmental Protection Agency (EPA) ground-level monitor data and North American Land Data Assimilation System (NLDAS) data products on a national scale; (2) link these data with public health data from the REasons for Geographic And Racial Differences in Stroke (REGARDS) national cohort study to determine whether these environmental risk factors are related to cognitive decline, stroke and other health outcomes and (3) disseminate the environmental datasets and public health linkage analyses to end users for decision-making through the Centers for Disease Control and Prevention (CDC) Wide-ranging Online Data for Epidemiologic Research (WONDER) system. This study directly addresses a public health focus of the NASA Applied Sciences Program, utilization of Earth Sciences products, by addressing issues of environmental health to enhance public health decision-making. Numéro de notice : A2014-235 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.715209 Date de publication en ligne : 10/09/2012 En ligne : https://doi.org/10.1080/10106049.2012.715209 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33138
in Geocarto international > vol 29 n° 1 - 2 (February - April 2014) . - pp 85 - 98[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Functional relation of land surface albedo with climatological variables: a review on remote sensing techniques and recent research developments / S. A. Salleh in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)
[article]
Titre : Functional relation of land surface albedo with climatological variables: a review on remote sensing techniques and recent research developments Type de document : Article/Communication Auteurs : S. A. Salleh, Auteur ; Z. Abd Latif, Auteur ; Biswajeet Pradhan, Auteur ; W. M. N. Wan Mohd, Auteur ; A. Chan, Auteur Année de publication : 2014 Article en page(s) : pp 147 - 163 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] albedo
[Termes IGN] analyse fonctionnelle (produit)
[Termes IGN] bilan radiatif
[Termes IGN] climatologie
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] données météorologiques
[Termes IGN] image satellite
[Termes IGN] modélisation radiométrique de prise de vue
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Surface albedo has been documented as one of the Essential Climate Variables (ECV) of the Global Climate Observing System (GCOS) that governs the Earth's Radiation Budget. The availability of surface albedo data is necessary for a comprehensive environmental modelling study. Thus, both temporal and spatial scale issues need to be rectified. This study reports about the availability of surface albedo data through in-situ and remote sensing satellite observations. In this paper, we reviewed the existing models for surface albedo derivation and various initiatives taken by related environmental agencies in order to understand the issues of climate with respect to surface albedo. This investigation evaluated the major activities on albedo-related research specifically for the retrieval methods used to derive the albedo values. Two main existing albedo measurement methods are derived through in-situ measurement and remotely sensed observations. In-situ measurement supported with number of instruments and techniques such aspyrheliometers, pyranometers and Baseline Surface Radiation Network (BSRN) and remotely sensed observations using angularly integrated Bi-directional Reflectance Distribution Function (BRDF) by both geostationary and polar orbit satellites. The investigation results reveals that the temporal and spatial scaling is the major issues when the albedo values are needed for microclimatic study, i.e. high-resolution time-series analyses and at heterogeneity and impervious surface. Thus, an improved technique of albedo retrieval at better spatial and temporal scale is required to fulfil the need for such kind of studies. Amongst many others, there are two downscaling methods that have been identified to be used in resolving the spatial scaling biased issues: Smoothing Filter-based Intensity Modulation (SFIM) and Pixel Block Intensity Modulation (PBIM). The temporal issues can be resolved using the multiple regression techniques of land surface temperature, selected air quality parameters, aerosol and daily skylight. Numéro de notice : A2014-236 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.748831 Date de publication en ligne : 06/02/2013 En ligne : https://doi.org/10.1080/10106049.2012.748831 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33139
in Geocarto international > vol 29 n° 1 - 2 (February - April 2014) . - pp 147 - 163[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Application of frequency ratio and likelihood ratio model for geo-spatial modelling of landslide hazard vulnerability assessment and zonation: a case study from the Sikkim Himalayas in India / L.P. Sharma in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)
[article]
Titre : Application of frequency ratio and likelihood ratio model for geo-spatial modelling of landslide hazard vulnerability assessment and zonation: a case study from the Sikkim Himalayas in India Type de document : Article/Communication Auteurs : L.P. Sharma, Auteur ; Nilanchal Patel, Auteur ; Mrinal K. Ghose, Auteur ; P. Debnath, Auteur Année de publication : 2014 Article en page(s) : pp 128 - 146 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] ArcGIS
[Termes IGN] cartographie des risques
[Termes IGN] effondrement de terrain
[Termes IGN] fréquence
[Termes IGN] Himalaya
[Termes IGN] Inde
[Termes IGN] modélisation spatiale
[Termes IGN] partition d'image
[Termes IGN] risque majeur
[Termes IGN] risque naturel
[Termes IGN] système d'information géographique
[Termes IGN] vulnérabilité
[Termes IGN] zone à risqueRésumé : (Auteur) The Likelihood Ratio (LR) Model has been applied as an improvement upon the Frequency Ratio (FR) that computes the ratio of the percentage of the landslide pixels to the percentage of the non-landslide pixels instead of the total number of pixels used in the denominator as in case of the FR. The comparative assessment of the two techniques is made through spatial modelling of GIS vector data using the ArcGIS software. Two different Landslide Information Values were computed for each polygon element of the study area employing the two FR techniques that categorized the study area into five classes of vulnerability using natural breaks (Jenks) technique. Subsequently, vulnerability zonation maps were prepared showing the different levels of landslide vulnerability. The LR technique yielded significantly higher vulnerability assessment accuracy (77%) as compared to the standard FR (71%). Numéro de notice : A2014-237 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.748830 Date de publication en ligne : 06/02/2013 En ligne : https://doi.org/10.1080/10106049.2012.748830 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33140
in Geocarto international > vol 29 n° 1 - 2 (February - April 2014) . - pp 128 - 146[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Spatial modelling of site suitability assessment for hospitals using geographical information system-based multicriteria approach at Qazvin city, Iran / Saleh Abdulhahi in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)
[article]
Titre : Spatial modelling of site suitability assessment for hospitals using geographical information system-based multicriteria approach at Qazvin city, Iran Type de document : Article/Communication Auteurs : Saleh Abdulhahi, Auteur ; Ahmad Rodzi Bin Mahmud, Auteur ; Biswajeet Pradhan, Auteur Année de publication : 2014 Article en page(s) : pp 164 - 184 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] aide à la décision
[Termes IGN] analyse comparative
[Termes IGN] équipement sanitaire
[Termes IGN] géomercatique
[Termes IGN] implantation d'un objet
[Termes IGN] Iran
[Termes IGN] modélisation spatiale
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Due to the population growth and continuous migration of people from rural areas to urban areas, it is important to identify the suitable locations for future development in order to find suitable sites for various kinds of facilities such as schools, hospital and fire stations for new and existing urban areas. Site suitability modelling is a complex process involving various kinds of objectives and issues. Such a complex process includes spatial analysis, use of several decision support tools such as high-spatial resolution remotely sensed data, geographical information system (GIS) and multi criteria analysis (MCA) such as analytical hierarchy process (AHP), and in some cases, prediction techniques like cellular automata (CA) or artificial neural networks (ANN). This paper presents a comparison between the results of AHP and the ordinary least square (OLS) evaluation model, based on various criteria, to select suitable sites for new hospitals in Qazvin city, Iran. Based on the obtained results, proximity to populated areas (0.3) and distance to air polluted areas (0.23–0.26) were the two highest important criteria with high weight value. The results show that these two techniques not only have similarity in size (in m2) for each suitability class but they also have similarity in spatial distribution of each class in the entire study area. Based on calculations of both techniques, 1–2%, 25%, 40–43%, 16–20% and 14% of study areas are assigned as ‘not suitable', ‘less suitable', ‘moderately suitable', ‘suitable' and ‘most suitable' areas for construction of new hospitals. Results revealed that a 75% similarity was found in the distribution of suitability classes in Qazvin city using both techniques. Nineteen per cent (19%) of the study area are assigned as ‘suitable' and ‘most suitable' by both methods, so these areas can be considered as safe or secure areas for clinical purposes. Moreover, almost all (99.8%) suitable areas are located in district 3, because of its higher population, less numbers of existing hospitals and large numbers of barren land plots of acceptable size. Numéro de notice : A2014-238 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.752531 Date de publication en ligne : 14/02/2013 En ligne : https://doi.org/10.1080/10106049.2012.752531 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33141
in Geocarto international > vol 29 n° 1 - 2 (February - April 2014) . - pp 164 - 184[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2014011 RAB Revue Centre de documentation En réserve L003 Disponible