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Toward global soil moisture monitoring with sentinel-1 : harnessing assets and overcoming obstacles / Bernhard Bauer-Marschallinger in IEEE Transactions on geoscience and remote sensing, vol 57 n° 1 (January 2019)
[article]
Titre : Toward global soil moisture monitoring with sentinel-1 : harnessing assets and overcoming obstacles Type de document : Article/Communication Auteurs : Bernhard Bauer-Marschallinger, Auteur ; Vahid Freeman, Auteur ; Senmao Cao, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 520 - 539 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande C
[Termes IGN] bilan hydrique
[Termes IGN] humidité du sol
[Termes IGN] image radar moirée
[Termes IGN] image Sentinel-SAR
[Termes IGN] Italie
[Termes IGN] Ombrie (Italie)
[Termes IGN] surveillance agricole
[Termes IGN] surveillance météorologiqueRésumé : (Auteur) Soil moisture is a key environmental variable, important to, e.g., farmers, meteorologists, and disaster management units. Here, we present a method to retrieve surface soil moisture (SSM) from the Sentinel-1 (S-1) satellites, which carry C-band Synthetic Aperture Radar (CSAR) sensors that provide the richest freely available SAR data source so far, unprecedented in accuracy and coverage. Our SSM retrieval method, adapting well-established change detection algorithms, builds the first globally deployable soil moisture observation data set with 1-km resolution. This paper provides an algorithm formulation to be operated in data cube architectures and high-performance computing environments. It includes the novel dynamic Gaussian upscaling method for spatial upscaling of SAR imagery, harnessing its field-scale information and successfully mitigating effects from the SAR's high signal complexity. Also, a new regression-based approach for estimating the radar slope is defined, coping with Sentinel-1's inhomogeneity in spatial coverage. We employ the S-1 SSM algorithm on a 3-year S-1 data cube over Italy, obtaining a consistent set of model parameters and product masks, unperturbed by coverage discontinuities. An evaluation of therefrom generated S-1 SSM data, involving a 1-km soil water balance model over Umbria, yields high agreement over plains and agricultural areas, with low agreement over forests and strong topography. While positive biases during the growing season are detected, the excellent capability to capture small-scale soil moisture changes as from rainfall or irrigation is evident. The S-1 SSM is currently in preparation toward operational product dissemination in the Copernicus Global Land Service. Numéro de notice : A2019-108 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2018.2858004 Date de publication en ligne : 22/08/2018 En ligne : https://doi.org/10.1109/TGRS.2018.2858004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92425
in IEEE Transactions on geoscience and remote sensing > vol 57 n° 1 (January 2019) . - pp 520 - 539[article]GIS approach to publishing commonfacilities plans of land consolidation in the Czech Republic / Arnošt Müller in Geodetski vestnik, vol 62 n° 4 (December 2018 - February 2019)
[article]
Titre : GIS approach to publishing commonfacilities plans of land consolidation in the Czech Republic Type de document : Article/Communication Auteurs : Arnošt Müller, Auteur Année de publication : 2018 Article en page(s) : pp 641 - 656 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] base de données foncières
[Termes IGN] base de données localisées
[Termes IGN] cadastre étranger
[Termes IGN] changement climatique
[Termes IGN] données environnementales
[Termes IGN] données hydrographiques
[Termes IGN] érosion
[Termes IGN] modèle orienté objet
[Termes IGN] normalisation
[Termes IGN] paysage agricole
[Termes IGN] remembrement agricole
[Termes IGN] République TchèqueRésumé : (auteur) This paper introduces the process of land consolidation and current use of geographic information systems (GIS) in the Czech Republic. Contemporary land consolidation in the Central European region, unlike Western Europe, has been implemented relatively recently, hence there is no contingency or previous experience to build upon. This brings about an opportunity for a modern design of GIS‐based land consolidation. Although the design of land consolidation projects in the Czech Republic is mainly conducted in CAD software, this paper focuses on the utilisation of GIS and stresses the importance of standardisation of land consolidation data. Standardisation allows automatic processing of data as well as effortless publishing. The author proposes a new object‐oriented data model of the landscape plan (Common Facilities Plan), which allows for the storing of such plans in a central spatial database and adding attribute information to each object, thus providing analysis of the data in a GIS. The data model alongside data standardisation lays the groundwork for the architectural proposal of a new GIS (geoportal) of Common Facilities Plans. Numéro de notice : A2019-017 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.15292/geodetski-vestnik.2018.04.641-656 Date de publication en ligne : 03/12/2018 En ligne : https://doi.org/10.15292/geodetski-vestnik.2018.04.641-656 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91631
in Geodetski vestnik > vol 62 n° 4 (December 2018 - February 2019) . - pp 641 - 656[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 139-2018041 RAB Revue Centre de documentation En réserve L003 Disponible Polarization orientation angle and polarimetric SAR scattering characteristics of steep terrain / Jong-Sen Lee in IEEE Transactions on geoscience and remote sensing, vol 56 n° 12 (December 2018)
[article]
Titre : Polarization orientation angle and polarimetric SAR scattering characteristics of steep terrain Type de document : Article/Communication Auteurs : Jong-Sen Lee, Auteur ; Thomas L. Ainsworth, Auteur ; Yanting Wang, Auteur Année de publication : 2018 Article en page(s) : pp 7272 - 7281 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] angle de visée
[Termes IGN] bande C
[Termes IGN] bande L
[Termes IGN] constante diélectrique
[Termes IGN] données polarimétriques
[Termes IGN] escarpement
[Termes IGN] humidité du sol
[Termes IGN] image radar moirée
[Termes IGN] image TOPSAR
[Termes IGN] modèle de diffusion du rayonnement
[Termes IGN] montagne
[Termes IGN] pente
[Termes IGN] polarimétrie radar
[Termes IGN] polarisation croisée
[Termes IGN] réflectance spectrale
[Termes IGN] rétrodiffusion de Bragg
[Termes IGN] teneur en eau de la végétationRésumé : (auteur) Polarization orientation angle (POA) is an important parameter of polarimetric radar scattering from slopes in mountainous region. It is known that surface tilted in azimuth direction and buildings not aligned in the along-track direction induce polarization orientation shifts. Earlier research has established orientation angle as a function of radar imaging geometry and surface slopes, and that POA estimation can be derived from polarimetric radar data using circular polarization. Besides these, polarimetric scattering from steep slopes and its relation to POA remain not well understood. In this paper, we address these issues by adopting a tilted surface model based on Bragg scattering. We have found that, as the azimuthal slope increases, |VV| decreases at a faster rate than |HH|, they become equal, when POA is ±45°, and |HH| > |VV| afterward. In other words, the Pauli component, |HH-VV| reduced to zero at POA = ± 45°, and the typical Bragg scattering characteristics of |VV| > |HH| does not apply when steep slope is present inducing |POA| > 45°. Furthermore, the cross-pol |HV| does not always increase with azimuth slope but also reaches a maximum then decreases to zero. In addition, we investigate the effect of soil moisture on polarimetric SAR (PolSAR) scattering characteristics of steep terrain and the effect of vegetation over surface on POA estimation. The latter is demonstrated with NASA/JPL TOPSAR L-band PolSAR data and C-band InSAR data. Another significance of this paper is that it provides a direct and rigorous derivation of POA equations. The earlier version was derived from a different concept. Numéro de notice : A2018-557 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2018.2849931 Date de publication en ligne : 01/08/2018 En ligne : http://dx.doi.org/10.1109/TGRS.2018.2849931 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91662
in IEEE Transactions on geoscience and remote sensing > vol 56 n° 12 (December 2018) . - pp 7272 - 7281[article]Relevé de la grotte glacée de Cenote Abyss dans les Dolomites / Farouk Kadded in XYZ, n° 157 (décembre 2018 - février 2019)
[article]
Titre : Relevé de la grotte glacée de Cenote Abyss dans les Dolomites Type de document : Article/Communication Auteurs : Farouk Kadded, Auteur ; Tommasso Santagata, Auteur Année de publication : 2018 Article en page(s) : pp 57 - 60 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] 3DReshaper
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] glace
[Termes IGN] grotte
[Termes IGN] image captée par drone
[Termes IGN] instrumentation Leica
[Termes IGN] Italie
[Termes IGN] positionnement par GNSS
[Termes IGN] semis de points
[Termes IGN] spéléologie
[Termes IGN] traitement de semis de pointsRésumé : (auteur) The abyss of Conturines, alsoknown as Cenote Abyss, represents one of the deepest and lagest caves of the Dolomites.This 280 m deep cave is characterized by a huge ice deposit, which makes it of major interest for the study of paleoclimate and modern climate change in this region of the Alps.The cave was discovered in 1994 after the abrupt empying of a lake at 2940 m. In 2015, a research project began to monitor the long-term movements an d volume changes of this ice deposit and to understand the microclimate of the cave. With two expeditions organized in October 2015 and September 2016, a complete study of the cave was carried out using a 3D laser scanner HDS7000 in 2015 and a scanner ScanStation P40 in 2016. Installation of barometric datalodgers, temperature and humidity in different areas of the cave provide a one-year record of the microclimate. In addtion, pollen traps have been installed to study the current flow of pollen on and inside the cave while preliminary analyzes of pollen grains held in the ice are in progress. The Cenote Abyss Ice Caves Research Project aim to shed light on the changing climate of the Dolomites over the past several hundred years, perhaps thousands of years, as well as on environmental changes more recent events that led to the melting of the cave glacier. Numéro de notice : A2018-546 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91582
in XYZ > n° 157 (décembre 2018 - février 2019) . - pp 57 - 60[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 112-2018041 RAB Revue Centre de documentation En réserve L003 Disponible Separating the influence of vegetation changes in polarimetric differential SAR interferometry / Virginia Brancato in IEEE Transactions on geoscience and remote sensing, vol 56 n° 12 (December 2018)
[article]
Titre : Separating the influence of vegetation changes in polarimetric differential SAR interferometry Type de document : Article/Communication Auteurs : Virginia Brancato, Auteur ; Irena Hajnsek, Auteur Année de publication : 2018 Article en page(s) : pp 6871 - 6883 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] biomasse
[Termes IGN] carte de la végétation
[Termes IGN] détection de changement
[Termes IGN] données polarimétriques
[Termes IGN] humidité du sol
[Termes IGN] image AIRSAR
[Termes IGN] interferométrie différentielle
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] polarimétrie radar
[Termes IGN] surface cultivée
[Termes IGN] télédétection en hyperfréquenceRésumé : (auteur) Soil moisture and wet biomass changes between two noninstantaneous SAR observations markedly affect the displacement estimates obtainable with Differential Interferometric Synthetic Aperture Radar (DInSAR). The separation, the modeling of these influences besides their uncoupling from the displacement signal, and the atmospheric disturbances are still unsolved issues for several repeat-pass interferometric applications. This paper focuses on the separation of vegetation changes from the other phase contributions affecting repeat-pass measurements over vegetated areas. These phase terms mainly relate to changes in soil moisture, atmospheric delays, and surface deformation. The separation is achieved with a first-order scattering solution decomposing the observed HH and VV DInSAR phases in the sum of several phase terms. The latter mainly consider the changes in soil surface scattering and in the two-way propagation through a vertically oriented vegetation canopy. No assumption is made on the spatiotemporal evolution of the displacement and atmosphere. The overall approach is tested on a L-band data set acquired over an agricultural area. Upon calibration, the model allows for estimating changes in wet biomass based on the nonzero HH–VV DInSAR phase difference observed over several birefringent agricultural fields. The obtained biomass estimates provide then a correction for the effect of vegetation changes on the observed HH and VV DInSAR phases. Deprived of the vegetation contribution, the remainder phase terms can be more easily explored for further analyses, e.g., the estimation of soil moisture changes and/or surface movements in vertically oriented vegetated areas. Numéro de notice : A2018-551 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2018.2845368 Date de publication en ligne : 14/08/2018 En ligne : http://dx.doi.org/10.1109/TGRS.2018.2845368 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91639
in IEEE Transactions on geoscience and remote sensing > vol 56 n° 12 (December 2018) . - pp 6871 - 6883[article]Étude d’un passage à faune traversant le canal du Loing / Marie-Lou Lamy in Géomatique expert, n° 125 (novembre - décembre 2018)PermalinkHistoric reconstruction of reservoir topography using contour line interpolation and structure from motion photogrammetry / Ana Casado in International journal of geographical information science IJGIS, vol 32 n° 11-12 (November - December 2018)PermalinkThe impact of rainfall distribution patterns on hydrological and hydraulic response in arid regions: case study Medina, Saudi Arabia / Mohamed Abdulrazzak in Arabian Journal of Geosciences, vol 11 n° 21 (November 2018)PermalinkEnhancing the resolution of urban digital terrain models using mobile mapping systems / Yu Feng in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol IV-4/W6 (October 2018)PermalinkA multi‐objective framework for analysis of road network vulnerability for relief facility location during flood hazards : A case study of relief location analysis in Bankura District, India / Omprakash Chakraborty in Transactions in GIS, vol 22 n° 5 (October 2018)PermalinkA data model for moving regions of fixed shape in databases / Florian Heinz in International journal of geographical information science IJGIS, vol 32 n° 9-10 (September - October 2018)PermalinkMise en oeuvre d’un SIG pour le projet FARMaine (Partie 2) / Adèle Debray in Géomatique expert, n° 124 (septembre - octobre 2018)PermalinkAlgorithm of land cover spatial data processing for the local flood risk mapping / Monika Siejka in Survey review, vol 50 n° 362 (August 2018)PermalinkExploring uncertainties in terrain feature extraction across multi-scale, multi-feature, and multi-method approaches for variable terrain / Boleslo E. Romero in Cartography and Geographic Information Science, Vol 45 n° 5 (August 2018)PermalinkMise en oeuvre d’un SIG pour le projet FARMaine (Partie 1) / Adèle Debray in Géomatique expert, n° 123 (juillet - août 2018)Permalink