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Co-seismic ionospheric disturbances following the 2016 West Sumatra and 2018 Palu earthquakes from GPS and GLONASS measurements / Mokhamad Nur Cahyadi in Remote sensing, vol 14 n° 2 (January-2 2022)
[article]
Titre : Co-seismic ionospheric disturbances following the 2016 West Sumatra and 2018 Palu earthquakes from GPS and GLONASS measurements Type de document : Article/Communication Auteurs : Mokhamad Nur Cahyadi, Auteur ; Buldan Muslim, Auteur ; Danar Guruh Pratomo, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 401 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] déformation verticale de la croute terrestre
[Termes IGN] diffusion de Rayleigh
[Termes IGN] données GLONASS
[Termes IGN] données GNSS
[Termes IGN] Indonésie
[Termes IGN] onde acoustique
[Termes IGN] perturbation ionosphérique
[Termes IGN] propagation ionosphérique
[Termes IGN] séisme
[Termes IGN] Sumatra
[Termes IGN] teneur totale en électrons
[Termes IGN] tsunamiRésumé : (auteur) The study of ionospheric disturbances associated with the two large strike-slip earthquakes in Indonesia was investigated, which are West Sumatra on 2 March 2016 (Mw = 7.8), and Palu on 28 September 2018 (Mw = 7.5). The anomalies were observed by measuring co-seismic ionospheric disturbances (CIDs) using the Global Navigation Satellite System (GNSS). The results show positive and negative CIDs polarization changes for the 2016 West Sumatra earthquake, depending on the position of the satellite line-of-sight, while the 2018 Palu earthquake shows negative changes only due to differences in co-seismic vertical crustal displacement. The 2016 West Sumatra earthquake caused uplift and subsidence, while the 2018 Palu earthquake was dominated by subsidence. TEC anomalies occurred about 10 to 15 min after the two earthquakes with amplitude of 2.9 TECU and 0.4 TECU, respectively. The TEC anomaly amplitude was also affected by the magnitude of the earthquake moment. The disturbance signal propagated with a velocity of ~1–1.72 km s−1 for the 2016 West Sumatra earthquake and ~0.97–1.08 km s−1 for the 2018 Palu mainshock earthquake, which are consistent with acoustic waves. The wave also caused an oscillation signal of ∼4 mHz, and their azimuthal asymmetry of propagation confirmed the phenomena in the Southern Hemisphere. The CID signal could be identified at a distance of around 400–1500 km from the epicenter in the southwestern direction. Numéro de notice : A2022-103 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.3390/rs14020401 Date de publication en ligne : 16/01/2022 En ligne : https://doi.org/10.3390/rs14020401 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99571
in Remote sensing > vol 14 n° 2 (January-2 2022) . - n° 401[article]Multi-temporal remote sensing data to monitor terrestrial ecosystem responses to climate variations in Ghana / Ram Avtar in Geocarto international, vol 37 n° 2 ([15/01/2022])
[article]
Titre : Multi-temporal remote sensing data to monitor terrestrial ecosystem responses to climate variations in Ghana Type de document : Article/Communication Auteurs : Ram Avtar, Auteur ; Ali P. Yunus, Auteur ; Osamu Saito, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 396 - 412 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] changement climatique
[Termes IGN] données multitemporelles
[Termes IGN] écosystème
[Termes IGN] Ghana
[Termes IGN] image Landsat
[Termes IGN] image SPOT
[Termes IGN] image Terra-MODIS
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] phénologie
[Termes IGN] variation temporelleRésumé : (auteur) Operational monitoring of vegetation and its response to climate change involves the use of vegetation indices (VIs) in relation to relevant climatic data. This study analyses the temporal variations of vegetation indices in response to climatic data (temperature and precipitation) to better understand the phenological changes in the Wa-West and Tolon districts of Ghana during 1999–2011. This study also examines the inter-annual variation of vegetation indices and lag effects of climate variables (temperature and precipitation) using simple regression and correlation approaches. Results indicate that the mean Normalized Difference Vegetation Index (NDVI) and Normalized Difference Soil Index (NDSI) were significantly correlated with the mean temperature, whereby the value of NDVI increases with a decrease in temperature and value of NDSI increases with an increase in temperature. On examining seasonal variations, our findings indicated that the months of August and September have the highest mean NDVI values. This study confirms that consistently rising temperature and altered precipitation patterns have exerted a strong influence on temporal distributions and productivities of the terrestrial ecosystems of the Tolon and Wa-West districts of Ghana. Furthermore, this research demonstrates how vegetation indices can be used as an indicator to monitor phenological changes in the terrestrial ecosystem. Numéro de notice : A2022-050 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2020.1723716 Date de publication en ligne : 11/02/2020 En ligne : https://doi.org/10.1080/10106049.2020.1723716 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99442
in Geocarto international > vol 37 n° 2 [15/01/2022] . - pp 396 - 412[article]Soil erosion estimation of Bhandara region of Maharashtra, India, by integrated use of RUSLE, remote sensing, and GIS / Sumedh R. Kashiwar in Natural Hazards, vol 110 n° 2 (January 2022)
[article]
Titre : Soil erosion estimation of Bhandara region of Maharashtra, India, by integrated use of RUSLE, remote sensing, and GIS Type de document : Article/Communication Auteurs : Sumedh R. Kashiwar, Auteur ; Manik Chandra Kundu, Auteur ; Usha R. Dongarwar, Auteur Année de publication : 2022 Article en page(s) : pp 937 - 959 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte d'occupation du sol
[Termes IGN] carte thématique
[Termes IGN] dégradation des sols
[Termes IGN] érosion
[Termes IGN] érosion hydrique
[Termes IGN] image Landsat-8
[Termes IGN] image Sentinel-MSI
[Termes IGN] Inde
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle RUSLE
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] précipitation
[Termes IGN] rive
[Termes IGN] système d'information géographiqueRésumé : (auteur) The agricultural land of the whole world is deteriorating due to the loss of top fertile soil reducing agricultural productivity and groundwater availability. Mainly, natural conditions and human manipulations have made soils extremely prone to soil erosion. Therefore, information on soil erosion status is of paramount importance to the policymakers for land conservation planning in a limited time. Spatial information systems like GIS and RS are known for their efficiencies. With that prospect, the GIS-based RUSLE model is used in this study to assess the soil erosion losses from Bhandara regions of Maharashtra, India. The study area comes under Wainganga sub-river basin, a portion of the Godavari River basin. We have prepared the required five potential parameters (R*K*LS*C*P) of RUSLE model on pixel-to-pixel basis. We have prepared the R factor map from monthly rainfall data of Indian Meteorological Department (IMD) and K factor map by digital the soil series map of NBSS & LUP, Govt. of India. We have used the digital elevation model data (DEM) of Cartosat-1 for LS-factor map, Landsat 8 and Sentinel-2A satellite dataset to generate LULC and NDVI map to obtain C and P factors. The results and satellite data were validated using Google Earth Pro and field observations. The results showed significant soil erosion from the river banks and wastelands near water bodies, with the soil loss values ranging between 20 and 40 t ha−1 yr−1. The land under reserved forest was very slight erosion-prone soil with soil loss of Numéro de notice : A2022-180 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.1007/s11069-021-04974-5 Date de publication en ligne : 16/08/2021 En ligne : https://doi.org/10.1007/s11069-021-04974-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99856
in Natural Hazards > vol 110 n° 2 (January 2022) . - pp 937 - 959[article]3D geovisualization for visual analysis of urban climate / Sidonie Christophe in Cybergeo, European journal of geography, vol 2022 ([01/01/2022])
[article]
Titre : 3D geovisualization for visual analysis of urban climate Titre original : Géovisualisation en 3D pour l'analyse visuelle du climat urbain Type de document : Article/Communication Auteurs : Sidonie Christophe , Auteur ; Jacques Gautier , Auteur ; Paul Chapron , Auteur ; Luke Riley, Auteur ; Valéry Masson, Auteur Année de publication : 2022 Projets : URCLIM / Masson, Valéry Article en page(s) : n° 1008 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse visuelle
[Termes IGN] climat urbain
[Termes IGN] données météorologiques
[Termes IGN] données topographiques
[Termes IGN] ilot thermique urbain
[Termes IGN] morphologie urbaine
[Termes IGN] visualisation 3D
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) This paper is about the relevance of proposing geovisualization methods to visually integrate, co-visualize and interact with urban and meteorological data into a 3D environment, in order to support the visual analysis of the urban climate. Meteorological experts and researchers already face meteorological data and climate models analysis issues, at larger scales into the city: yet even if they have existing practices and tools to address these issues, they could take benefit from the knowledge and the methods from the Geovisualization domain, to complement these analyses by a visuospatial reasoning approach. In this paper, based on the knowledge of the expectations of the meteorological experts we are working with, we brought climate analysis into the city and visuospatial reasoning closer, on both heterogeneous urban and air temperature data(1). We reviewed the existing works regarding geovisualization of spatio-temporal phenomena and visualization of meteorological data (2). We then presented the different approaches we fulfilled to provide a 3D geovisualization environment and graphic representations, visually integrating both meteorological and spatial data. One provides style and interaction capacities on those data, enabling the interactive 3D exploration of their spatial and value distributions, throughout the city. Another geovisualization-design experiment is presented as a co-visualization of meteorological data and morphological indicators on 2.5D maps (3). These complementary approaches are presented and discussed with the meteorological experts, based on their relevance to tackle climate analysis at a larger scale and on the refinements required to extend their exploration capacities (4). Numéro de notice : A2022-270 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE/IMAGERIE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.4000/cybergeo.38518 Date de publication en ligne : 17/03/2022 En ligne : https://doi.org/10.4000/cybergeo.38518 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100206
in Cybergeo, European journal of geography > vol 2022 [01/01/2022] . - n° 1008[article]Adaptation of the standardized vegetation optical depth index for satellite-based soil moisture / Juliette Raabe (2022)
Titre : Adaptation of the standardized vegetation optical depth index for satellite-based soil moisture Type de document : Mémoire Auteurs : Juliette Raabe, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2022 Importance : 61 p. Format : 21 x 30 cm Note générale : Bibliographie
Rapport de projet pluridisciplinaire, cycle ING2Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Australie
[Termes IGN] changement climatique
[Termes IGN] humidité du sol
[Termes IGN] implémentation (informatique)
[Termes IGN] indice d'humidité
[Termes IGN] phénomène climatique extrême
[Termes IGN] sécheresse
[Termes IGN] teneur en eau de la végétationIndex. décimale : PROJET Mémoires : Rapports de projet - stage des ingénieurs de 2e année Résumé : (Auteur) Le groupe de recherche sur la télédétection pour l’étude de l’environnement et du climat (CLIMERS) de l’université technique de Vienne contribue entre autres au développement de jeux de données d’humidité du sol (indicateur mesurant la quantité d’eau contenue dans le sol) et de VOD (vegetation optical depth, mesurant la teneur en eau des plantes). Par là, il vise à aider la communauté scientifique mondiale pour étudier le climat et en particulier, le changement climatique. L’étude présente se propose de participer à cet objectif en créant un indice de sécheresse à partir de données d’humidité du sol obtenues par télédétection. Pour ce faire, cette étude adapte un processus existant pour construire un indice de sécheresse standardisé. Ce processus a été implémenté au CLIMERS, il y a peu de temps, pour le VOD et le but est de le tester pour l’humidité du sol et voir à quel point il est adapté pour capturer des événements climatiques extrêmes. Note de contenu : Introduction
1.1 Soil Moisture
1.2 Production of soil moisture data
1.3 Soil moisture to build drought index
1.4 The innovative process set up for the VOD index
2. Creation of a standardized soil moisture index
2.1 Data
2.2 The soil moisture workflow
2.3 Optimization
3 Results of the SVODI process for SM
3.1 Australian use case
3.2 First results on Australia
3.3 Focus on extreme events in other regions of the world
3.4 World results
4. Correlation study, evaluate quantitatively the index
4.1 Methodology
4.2 Correlation study for the Australian use-case
4.3 World correlation study
ConclusionNuméro de notice : 26871 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Mémoire de projet pluridisciplinaire Organisme de stage : Department of Geodesy and Geoinformation (TU Wien) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101700 Documents numériques
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