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Photogrammetric Bathymetry for the Canadian Arctic / Matus Hodul in Marine geodesy, Vol 43 n° 1 (January 2020)
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Titre : Photogrammetric Bathymetry for the Canadian Arctic Type de document : Article/Communication Auteurs : Matus Hodul, Auteur ; René Chénier, Auteur ; Marc-André Faucher, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 23 - 43 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bathymétrie
[Termes IGN] Arctique, océan
[Termes IGN] Canada
[Termes IGN] carte marine
[Termes IGN] données hydrographiques
[Termes IGN] fond marin
[Termes IGN] image Worldview
[Termes IGN] télédétection spatialeRésumé : (auteur) Remote sensing is becoming common in the estimation of bathymetry for navigational charting through a process known as Satellite Derived Bathymetry (SDB). Most SDB techniques currently used by hydrographic offices employ an empirical approach, requiring the use of in-situ data to calibrate a relationship between spectral information and coincident depths. This article reports on a multi-site test of an alternative SDB method which uses photogrammetry to extract depths from stereo WorldView-2 imagery. In areas with heterogeneous seafloors, the empirical approach faces difficulties in establishing the relationship between colour and depth, while the photogrammetric approach uses the contrasting seafloor features for triangulation. Additionally, the photogrammetric method may be applied in areas lacking previous survey data. Five study areas in Nunavut, Canada were selected to test the robustness of the method in different environments and under different imaging conditions. Study areas were (with resulting RMSE/Bias given in metres) Coral Harbour (0.84/−0.47), Cambridge Bay (1.16/−0.15), Queen Maud Gulf (0.97/0.06), Arviat (0.99/−0.009), and Frobisher Bay, where extraction largely failed due to environmental conditions. Accuracies demonstrated here are similar to those seen using the empirical approach, suggesting that these two methods may be used in conjunction, each applied to regions where they are better suited. Numéro de notice : A2020-052 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/01490419.2019.1685030 Date de publication en ligne : 22/11/2019 En ligne : https://doi.org/10.1080/01490419.2019.1685030 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94920
in Marine geodesy > Vol 43 n° 1 (January 2020) . - pp 23 - 43[article]Le plug-in ACYOTB : l'orthorectification open source de précision / Valerio Baiocchi in Géomatique expert, n° 132-133 (janvier - septembre 2020)
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Titre : Le plug-in ACYOTB : l'orthorectification open source de précision Type de document : Article/Communication Auteurs : Valerio Baiocchi, Auteur ; Francesca Giannone, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 50 - 63 Note générale : bibliographie
article original en anglais en libre accès : https://doi.org/10.3390/ijgi9010011Langues : Français (fre) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] image spatiale
[Termes IGN] Orfeo Tool Box
[Termes IGN] orthorectification
[Termes IGN] QGISRésumé : (auteur) [original abstract] High-resolution satellite images must undergo a geometric rectification process in order to be used for metrical purposes. This operation, called orthorectification, is necessary because of deformations mainly due to camera distortions and acquisition geometry. To correctly orthorectify an image, it is necessary to accurately reconstruct the photogrammetric-acquisition characteristics and the image position with respect to a reference system connected to the ground. This operation, called orientation, can be done using various mathematical models such as rigorous, rational polynomial function (RPF), and rational polynomial coefficient, or, according to some authors, rapid positioning coefficient (RPC) models. Orientation and orthorectification are usually performed within specific commercial software, but in QGIS, these complex operations can be performed using the open libraries of the Orfeo Tool Box (OTB). Unfortunately, instructions given by OTB developers lead to scarce results. In fact, the procedure proposed in OTB does not allow for the full exploitation of the potential of RPC models, on which OTB itself is based. As OTB is open-source software, a plugin was developed to overcome these limitations and exploit its full potential. In fact, OTB interfaces are unfortunately essential, and some necessary functions are missing. Therefore, a new QGIS plugin was developed in order to run the entire process in the most photogrammetrically and statistically correct way, and, at the same time, to simplify the relative procedures. Numéro de notice : A2020-863 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99185
in Géomatique expert > n° 132-133 (janvier - septembre 2020) . - pp 50 - 63[article]Réservation
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Titre : Pour la recherche urbaine Type de document : Monographie Auteurs : Félix Ardisson, Auteur ; Sabine Barles, Auteur ; Nathalie Blanc, Auteur ; et al., Auteur Editeur : Paris : CNRS Editions Année de publication : 2020 Collection : Espaces et milieux Importance : 448 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-2-271-13562-9 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Urbanisme
[Termes IGN] aménagement du territoire
[Termes IGN] analyse socio-économique
[Termes IGN] écologie
[Termes IGN] espace urbain
[Termes IGN] flux de données
[Termes IGN] urbanisation
[Termes IGN] ville durableRésumé : (éditeur) L’urbanisation à l’échelle planétaire et la conscience croissante des problèmes écologiques font de l’« urbain » un objet privilégié pour l’action publique et la recherche. C’est en effet grâce à la perspective urbaine que nous parvenons aujourd’hui à une meilleure compréhension des sociétés contemporaines et des milieux de vie. En articulant les dimensions sociales, écologiques, politiques et matérielles, les recherches actuelles apportent de nouvelles connaissances sur les théories et définitions de l’urbain, les populations urbaines et la production de leur cadre de vie. Les enjeux sont de taille. Ils touchent à la qualité de vie des citadins et à la forme de nos sociétés : diversification des populations, accroissement des inégalités, recompositions des flux, des échelles et des pouvoirs urbains, changements de l’environnement planétaire, etc.
Le présent ouvrage, qui repose sur un important travail collectif sur les villes des Nords et des Suds, propose un panorama engagé de ces enjeux présents et, surtout, à venir pour la recherche urbaine.Note de contenu : Introduction générale
1- Pour une bonne recherche urbaine
2- Pour une lecture socio-matérielle de l’urbain
3- Pour une recherche attentive à la justice de la condition urbaine
4- Pour un regard renouvelé sur la production urbaineNuméro de notice : 25876 Affiliation des auteurs : non IGN Thématique : URBANISME Nature : Monographie DOI : 10.4000/books.editionscnrs.36903 En ligne : https://books.openedition.org/editionscnrs/36903 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95645 Predicting carbon accumulation in temperate forests of Ontario, Canada using a LiDAR-initialized growth-and-yield model / Paulina T. Marczak in Remote sensing, vol 12 n° 1 (January 2020)
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Titre : Predicting carbon accumulation in temperate forests of Ontario, Canada using a LiDAR-initialized growth-and-yield model Type de document : Article/Communication Auteurs : Paulina T. Marczak, Auteur ; Karin Y. Van Ewijk, Auteur ; Paul M. Treitz, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : 29 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] changement climatique
[Termes IGN] diamètre à hauteur de poitrine
[Termes IGN] diamètre des arbres
[Termes IGN] données lidar
[Termes IGN] forêt tempérée
[Termes IGN] modèle de croissance végétale
[Termes IGN] Ontario (Canada)
[Termes IGN] peuplement forestier
[Termes IGN] photo-interprétation
[Termes IGN] puits de carbone
[Termes IGN] rendement
[Termes IGN] semis de pointsRésumé : (auteur) Climate warming has led to an urgent need for improved estimates of carbon accumulation in uneven-aged, mixed temperate forests, where high uncertainty remains. We investigated the feasibility of using LiDAR-derived forest attributes to initialize a growth and yield (G&Y) model in complex stands at the Petawawa Research Forest (PRF) in eastern Ontario, Canada; i.e., can G&Y models based on LiDAR provide accurate predictions of aboveground carbon accumulation in complex forests compared to traditional inventory-based estimates? Applying a local G&Y model, we forecasted aboveground carbon stock (tons/ha) and accumulation (tons/ha/yr) using recurring plot measurements from 2012–2016, FVS1. We applied statistical predictors derived from LiDAR to predict stem density (SD), stem diameter distribution (SDD), and basal area distribution (BA_dist). These data, along with measured species abundance, were used to initialize a second model (FVS2). A third model was tested using LiDAR-initialized tree lists and photo-interpreted estimates of species abundance (i.e., FVS3). The carbon stock projections for 2016 from the inventory-based G&Y model) were equivalent to validation carbon stocks measured in 2016 at all size-class levels (p 0.05). At the plot level, LiDAR-based predictions of carbon accumulation over a nine-year period did not differ when using either inventory or photo-interpreted species (p Numéro de notice : A2020-222 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3390/rs12010201 Date de publication en ligne : 06/01/2020 En ligne : https://doi.org/10.3390/rs12010201 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94934
in Remote sensing > vol 12 n° 1 (January 2020) . - 29 p.[article]Regional-scale forest mapping over fragmented landscapes using global forest products and Landsat time series classification / Viktor Myroniuk in Remote sensing, vol 12 n° 1 (January 2020)
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Titre : Regional-scale forest mapping over fragmented landscapes using global forest products and Landsat time series classification Type de document : Article/Communication Auteurs : Viktor Myroniuk, Auteur ; Mykola Kutia, Auteur ; Arbi J. Sarkissian, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : 24 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande infrarouge
[Termes IGN] carte forestière
[Termes IGN] changement climatique
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] Google Earth Engine
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image Landsat
[Termes IGN] image proche infrarouge
[Termes IGN] image RVB
[Termes IGN] image satellite
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] plaine
[Termes IGN] série temporelle
[Termes IGN] surveillance forestière
[Termes IGN] UkraineRésumé : (auteur) Satellite imagery of 25–30 m spatial resolution has been recognized as an effective tool for monitoring the spatial and temporal dynamics of forest cover at different scales. However, the precise mapping of forest cover over fragmented landscapes is complicated and requires special consideration. We have evaluated the performance of four global forest products of 25–30 m spatial resolution within three flatland subregions of Ukraine that have different forest cover patterns. We have explored the relationship between tree cover extracted from the global forest change (GFC) and relative stocking density of forest stands and justified the use of a 40% tree cover threshold for mapping forest in flatland Ukraine. In contrast, the canopy cover threshold for the analogous product Landsat tree cover continuous fields (LTCCF) is found to be 25%. Analysis of the global forest products, including discrete forest masks Global PALSAR-2/PALSAR Forest/Non-Forest Map (JAXA FNF) and GlobeLand30, has revealed a major misclassification of forested areas under severe fragmentation patterns of landscapes. The study also examined the effectiveness of forest mapping over fragmented landscapes using dense time series of Landsat images. We collected 1548 scenes of Landsat 8 Operational Land Imager (OLI) for the period 2014–2016 and composited them into cloudless mosaics for the following four seasons: yearly, summer, autumn, and April–October. The classification of images was performed in Google Earth Engine (GEE) Application Programming Interface (API) using random forest (RF) classifier. As a result, 30 m spatial resolution forest mask for flatland of Ukraine was created. The user’s and producer’s accuracy were estimated to be 0.910 ± 0.015 and 0.880 ± 0.018, respectively. The total forest area for the flatland Ukraine is 9440.5 ± 239.4 thousand hectares, which is 3% higher than official data. In general, we conclude that the Landsat-derived forest mask performs well over fragmented landscapes if forest cover of the territory is higher than 10–15% Numéro de notice : A2020-225 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/rs12010187 Date de publication en ligne : 05/01/2020 En ligne : https://doi.org/10.3390/rs12010187 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94940
in Remote sensing > vol 12 n° 1 (January 2020) . - 24 p.[article] PermalinkA spatially explicit database of wind disturbances in European forests over the period 2000–2018 / Giovanni Forzieri in Earth System Science Data, vol 12 n° 1 (January 2020)
PermalinkSpatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using Machine Learning Methods / Wolfgang B. Hamer in ISPRS International journal of geo-information, Vol 9 n° 1 (January 2020)
PermalinkPermalinkPermalinkPermalinkPermalinkCombining thermal imaging with photogrammetry of an active volcano using UAV: an example from Stromboli, Italy / Zoë E. Wakeford in Photogrammetric record, vol 34 n° 168 (December 2019)
PermalinkExtracting urban landmarks from geographical datasets using a random forests classifier / Yue Lin in International journal of geographical information science IJGIS, vol 33 n° 12 (December 2019)
PermalinkImpact of deadwood decomposition on soil organic carbon sequestration in Estonian and Polish forests / Ewa Blonska in Annals of Forest Science, Vol 76 n° 4 (December 2019)
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