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Une nouvelle détermination de l'altitude de l'Everest par le Népal et la Chine / Gavin Schrock in XYZ, n° 166 (mars 2021)

Public [article]  inXYZ > n° 166 (mars 2021) . - pp 57 - 67 Titre : Une nouvelle détermination de l'altitude de l'Everest par le Népal et la Chine Type de document : Article/Communication Auteurs : Gavin Schrock, Auteur ; Bernard Flacelière, Auteur Année de publication : 2021 Article en page(s) : pp 57 - 67 Note générale : Bibliographie Cet article est issu des publications “Surveying the head of the Earth touching heaven” de Gavin Schrock et de “Two hours on the summit” de Khim Lal Gautam, avec l'autorisation de Geospatial Media and Communications et des auteurs. Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géodésie physique [Termes IGN] altitude normale [Termes IGN] antenne GNSS [Termes IGN] Chine [Termes IGN] déformation horizontale de la croute terrestre [Termes IGN] données GNSS [Termes IGN] Everest [Termes IGN] gravimétrie [Termes IGN] Népal [Termes IGN] précision altimétrique [Termes IGN] séisme Résumé : (Auteur) After more than a decade of dispute and controversy, China and Nepal have finally agreed on the altitude of Mount Everest. The highest peak in the world, which lies on Nepal's border with Tibet in the Himalayas, stands at 8,848.86 meters, officials from the two countries announced on December 8, 2020. To relate this human and technique epic, open our columns to Gavin Schrock, consulting editor and land surveyor who interviewed several protagonists and to Khim Lal Gautam, leader of the Nepalese expedition in 2019. Bernard Flacelière, editor-in-chief of XYZ recalls here the forgotten mission of 1992. Numéro de notice : A2021-249 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtSansCL DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97330 [article]

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Exploring the inclusion of Sentinel-2 MSI texture metrics in above-ground biomass estimation in the community forest of Nepal / Santa Pandit in Geocarto international, vol 35 n° 16 ([01/12/2020])  

Public [article]  inGeocarto international > vol 35 n° 16 [01/12/2020] . - pp 1832 - 1849 Titre : Exploring the inclusion of Sentinel-2 MSI texture metrics in above-ground biomass estimation in the community forest of Nepal Type de document : Article/Communication Auteurs : Santa Pandit, Auteur ; Satoshi Tsuyuki, Auteur ; Timothy Dube, Auteur Année de publication : 2020 Article en page(s) : pp 1832 - 1849 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse multibande [Termes IGN] analyse texturale [Termes IGN] apprentissage automatique [Termes IGN] biomasse aérienne [Termes IGN] classification par forêts aléatoires [Termes IGN] forêt [Termes IGN] image Sentinel-MSI [Termes IGN] indice de végétation [Termes IGN] Népal Résumé : (auteur) The potential of the improved resolution Sentinel-2 MSI data was explored through texture metrics, vegetation indices (VIs) and pooled dataset using the Random Forest (RF) machine learning algorithm to estimate Above-ground Biomass (AGB) in a sub-tropical forest of Nepal. Texture metrics were derived based on different working window sizes (3 × 3, 5 × 5, 7 × 7 and 9 × 9), and the results were compared with those obtained, using raw traditional bands (Analysis set 1: 2, 3, 4, 8, 11 and 12), raw traditional and red edge bands (Analysis set 2: Set 1 + Band 5, 6, 7 and 8A), and red edge bands (Analysis set 3) only. Comparatively, the use of pooled data (texture and VIs) yielded higher biomass estimates. The results from pooled data based on the 7 × 7 window size resulted in models with better model fitting parameters. For instance, pooled data produced an R2 = 0.99 and a RMSE = 4.51 t ha−1 (relRMSE = 2.82). Further, the RF model selected dissimilarity, variance and mean from Band 2 and SAVI (Soil adjusted vegetation index) as the most important AGB predictor variables. The results demonstrated that like the red-edge bands, traditional bands were equally important in AGB estimation. Numéro de notice : A2020-727 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1588390 date de publication en ligne : 10/06/2019 En ligne : https://doi.org/10.1080/10106049.2019.1588390 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96334 [article]

Identification and extraction of seasonal geodetic signals due to surface load variations / Stacy Larochelle in Journal of geophysical research : Solid Earth, vol 123 n° 12 (December 2018)  

Public [article]  inJournal of geophysical research : Solid Earth > vol 123 n° 12 (December 2018) . - pp 11031 - 11047 Titre : Identification and extraction of seasonal geodetic signals due to surface load variations Type de document : Article/Communication Auteurs : Stacy Larochelle, Auteur ; Adriano Gualandi, Auteur ; Kristel Chanard , Auteur ; Jean-Philippe Avouac, Auteur Année de publication : 2018 Projets : 3-projet - voir note / Article en page(s) : pp 11031 - 11047 Note générale : bibliographie Funding : King Abdullah City for Science and Technology & NSF. Grant Number: EAR‐1821853 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique [Termes IGN] analyse en composantes indépendantes [Termes IGN] Arabie [Termes IGN] données géodésiques [Termes IGN] Himalaya [Termes IGN] modèle de déformation tectonique [Termes IGN] Népal [Termes IGN] série temporelle [Termes IGN] surcharge hydrologique [Termes IGN] variation saisonnière Résumé : (auteur) Deformation of the Earth's surface associated with redistributions of continental water mass explains, to first order, the seasonal signals observed in geodetic position time series. Discriminating these seasonal signals from other sources of deformation in geodetic measurements is essential to isolate tectonic signals and to monitor spatio‐temporal variations in continental water storage. We propose a new methodology to identify and extract these seasonal signals. The approach uses a variational Bayesian Independent Component Analysis (vbICA) to extract the seasonal signals and a gravity‐based deformation model to identify which of these signals are caused by surface loading. We test the procedure on two study areas, the Arabian Peninsula and the Nepal Himalaya, and find that the technique successfully extracts the seasonal signals with one or two independent components, depending on whether the load is stationary or moving. The approach is robust to spatial heterogeneities inherent to geodetic measurements and can help extract systematic errors in geodetic products (e.g., draconitic errors). We also discuss how to handle the degree‐1 deformation field present in the geodetic data set but not captured by the gravity‐based model. Numéro de notice : A2018-656 Affiliation des auteurs : Géodésie+Ext (mi2018-2019) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1029/2018JB016607 date de publication en ligne : 22/11/2018 En ligne : https://doi.org/10.1029/2018JB016607 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93521 [article]

Analyzing the effect of earthquakes on OpenStreetMap contribution patterns and tweeting activities / Ahmed Ahmouda in Geo-spatial Information Science, vol 21 n° 3 (October 2018)  

Public [article]  inGeo-spatial Information Science > vol 21 n° 3 (October 2018) . - pp 195 - 212 Titre : Analyzing the effect of earthquakes on OpenStreetMap contribution patterns and tweeting activities Type de document : Article/Communication Auteurs : Ahmed Ahmouda, Auteur ; Hartwig H. Hochmair, Auteur ; Sreten Cvetojevic, Auteur Année de publication : 2018 Article en page(s) : pp 195 - 212 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] catastrophe naturelle [Termes IGN] contenu généré par les utilisateurs [Termes IGN] données issues des réseaux sociaux [Termes IGN] données localisées des bénévoles [Termes IGN] Italie [Termes IGN] Népal [Termes IGN] OpenStreetMap [Termes IGN] séisme Résumé : (Auteur) Natural disasters, such as wildfires, earthquakes, landslides, or floods, lead to an increase in topical information shared on social media and in increased mapping activities in volunteered geographic information (VGI) platforms. Using earthquakes in Nepal and Central Italy as case studies, this research analyzes the effects of natural disasters on short-term (weeks) and longer-term (half year) changes in OpenStreetMap (OSM) mapping behavior and tweet activities in the affected regions. An increase of activities in OSM during the events can be partially attributed to those focused OSM mapping campaigns, for example, through the Humanitarian OSM Team (HOT). Using source tags in OSM change-sets, it was found that only a small portion of external mappers actually travels to the affected regions, whereas the majority of external mappers relies on desktop mapping instead. Furthermore, the study analyzes the spatio-temporal sequence of posted tweets together with keyword filters to identify a subset of users who most likely traveled to the affected regions for support and rescue operations. It also explores where, geographically, earthquake information spreads within social networks. Numéro de notice : A2018-643 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2018.1498666 date de publication en ligne : 27/07/2018 En ligne : https://doi.org/10.1080/10095020.2018.1498666 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93310 [article]

Source model from ALOS-2 ScanSAR of the 2015 Nepal earthquakes / Youtian Liu in Journal of applied geodesy, vol 10 n° 2 (June 2016)  

Public [article]  inJournal of applied geodesy > vol 10 n° 2 (June 2016) . - pp 109 - 118 Titre : Source model from ALOS-2 ScanSAR of the 2015 Nepal earthquakes Type de document : Article/Communication Auteurs : Youtian Liu, Auteur ; Linlin Ge, Auteur ; Alex Hay-Man Ng, Auteur Année de publication : 2016 Article en page(s) : pp 109 - 118 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] déformation de la croute terrestre [Termes IGN] faille géologique [Termes IGN] image ALOS [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] Népal [Termes IGN] séisme Résumé : (auteur) The 2015 Gorkha Nepal Earthquake sequence started with a magnitude Mw 7.8 main shock and continued with several large aftershocks, particularly the second major shock of Mw 7.3. Both earthquake events were captured using ALOS-2 ScanSAR images to determine the coseismic surface deformation and the source models. In this paper, the displacement maps were produced and the corresponding modelling results were discussed. The single fault model of the main shock suggests that there was nearly 6 m of right-lateral oblique slip motion with fault struck of 292° and dipped gently Northeast at 7°, indicating that the main shock was on a thrust fault. Moreover, a single fault model for the Mw 7.3 quake with striking of 312° and dipping of 11° was derived from observed result. Both results showed the fault planes struck generally to South and dipped northeast, which depicted the risks since the main shock occurred. Numéro de notice : A2016-561 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article En ligne : http://dx.doi.org/10.1515/jag-2015-0018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81740 [article]

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The future of disaster response management / Krista Montgomery in GEO: Geoconnexion international, vol 15 n° 1 (January 2016)

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Caring and sharing by crowdsourcing / Alister Clark in Position, n° 79 (October - November 2015)

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Etude de l'évolution de l'utilisation du sol dans le district Sunsari (plaine du Népal) depuis les années 1950 / Mathilde Dumont-Aublin (2015) 

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Adaptive algorithm for large scale DTM interpolation from lidar data for forestry applications in steep forested terrain / Almasi S. Maguya in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 2013)

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Land use issues in Nepal / B. Acharaya in GIM international, vol 25 n° 12 (December 2011)  

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Recherche adaptative, gestion adapatative : malgré le conflit, la recherche est en plein boom au Népal / Claire Miller in CIFOR news, n° 45 (March 2008)

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Biodiversity surveying and monitoring: using GIS and GPS in Annapurna conservation area of Nepal / N.R. Chapagain in GIM international, vol 19 n° 7 (July 2005)

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Topographic SAR interferometry formulation for high-précision DEM generation / R. Abdelfattah in IEEE Transactions on geoscience and remote sensing, vol 40 n° 11 (November 2002)

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Detection of areas associated with flood and erosion caused by a heavy rainfall using multitemporal Landsat TM data / A.S. Dhakal in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)

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Kinematics of the India-Eurasia collision zone from GPS measurements / K. Larson in Journal of geophysical research : Solid Earth, vol 104 n° 1 (01/01/1999)

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