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A machine learning method for Arctic lakes detection in the permafrost areas of Siberia / Piotr Janiec in European journal of remote sensing, vol 56 n° 1 (2023)  

Public [article]  inEuropean journal of remote sensing > vol 56 n° 1 (2023) . - n° 2163923 Titre : A machine learning method for Arctic lakes detection in the permafrost areas of Siberia Type de document : Article/Communication Auteurs : Piotr Janiec, Auteur ; Jakub Nowosad, Auteur ; Sbigniew Zwoliński, Auteur Année de publication : 2023 Article en page(s) : n° 2163923 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] apprentissage automatique [Termes IGN] Arctique [Termes IGN] classification et arbre de régression [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] image Landsat-8 [Termes IGN] lac glaciaire [Termes IGN] MERIT [Termes IGN] modèle numérique de surface [Termes IGN] pergélisol [Termes IGN] Short Waves InfraRed [Termes IGN] Sibérie Résumé : (auteur) Thermokarst lakes are the main components of the vast Arctic and subarctic landscapes. These lakes can serve as geoindicators of permafrost degradation; therefore, proper lake distribution assessment methods are necessary. In this study, we compared four machine learning methods to improve existing lake detection systems. The northern part of Yakutia was selected as the study area owing to its complex environment. We used data from Landsat 8 and spectral indices to take into account the spectral characteristics of the lakes, and MERIT DEM data to take into account the topography. The lowest accuracy was found for the classification and regression trees (CART) method (overall accuracy = 81%). On the other hand, the random forests (RF) classification provided the best results (overall accuracy = 92%), and only this classification coped well in all problematic areas, such as shaded and humid areas, near steep slopes, burn scars, and rivers. The altitude and bands SWIR1 (Short wave infrared 1), SWIR2 (Short wave infrared 2), and Green were the most important. Spectral indices did not have significant impact on the classification results in the specific conditions of the thermokarst lakes environment. 17,700 lakes were identified with the total area of 271.43 km2. Numéro de notice : A2023-218 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/22797254.2022.2163923 Date de publication en ligne : 19/01/2023 En ligne : https://doi.org/10.1080/22797254.2022.2163923 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103156 [article]

Spatio-temporal patterns of wildfires in Siberia during 2001–2020 / Oleg Tomshin in Geocarto international, vol 37 n° 25 ([01/12/2022])  

Public [article]  inGeocarto international > vol 37 n° 25 [01/12/2022] . - pp 7339 - 7357 Titre : Spatio-temporal patterns of wildfires in Siberia during 2001–2020 Type de document : Article/Communication Auteurs : Oleg Tomshin, Auteur ; Vladimir Solovyev, Auteur Année de publication : 2022 Article en page(s) : pp 7339 - 7357 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] changement climatique [Termes IGN] image radar moirée [Termes IGN] image Terra-MODIS [Termes IGN] incendie de forêt [Termes IGN] modélisation spatio-temporelle [Termes IGN] occupation du sol [Termes IGN] précipitation [Termes IGN] réflectance de surface [Termes IGN] Sibérie [Termes IGN] température de l'air Résumé : (auteur) Siberia is one of the most fire-prone regions of northern Eurasia and also the region with the greatest warming in the Eastern Hemisphere over the last decades. In this study, spatiotemporal features of wildfires in Siberia and their recent trends and relationship with air temperature and precipitation during 2001–2020 were investigated. The main results show that the annual burned area (BA) in Siberia during the study period is 6.5 Mha with a non-significant positive trend (58 kha year−1, p = 0.49), but analysis of the spatial patterns revealed regions with significant trends in BA: negative in the south of Western Siberia (−17 kha year−1, p  Numéro de notice : A2022-926 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/10106049.2021.1973581 Date de publication en ligne : 06/09/2021 En ligne : https://doi.org/10.1080/10106049.2021.1973581 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102659 [article]

"Process toponymy": A GIS-based community-engaged approach to indigenous dynamic place naming systems and vernacular cartography / Nadezhda Mamontova in Cartographica, vol 57 n° 3 (September 2022)  

Public [article]  inCartographica > vol 57 n° 3 (September 2022) . - pp 213 - 225 Titre : "Process toponymy": A GIS-based community-engaged approach to indigenous dynamic place naming systems and vernacular cartography Type de document : Article/Communication Auteurs : Nadezhda Mamontova, Auteur ; Elena Klyachko, Auteur Année de publication : 2022 Article en page(s) : pp 213 - 225 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Toponymie [Termes IGN] carte thématique [Termes IGN] ontologie [Termes IGN] portail [Termes IGN] sémiologie graphique [Termes IGN] Sibérie [Termes IGN] système d'information géographique [Termes IGN] toponymie locale Résumé : (auteur) This paper discusses the aim and the process of designing a community-engaged open-access GIS toponymic platform, based on Indigenous Evenki place names. Most projects on Indigenous toponymy available online are either oriented towards professional use among scholars or serve as enclosed repositories of Indigenous knowledge. Toponymic atlases remain the most common form of documenting and representing Indigenous place naming systems. Yet, temporal and geographic comparisons of place names have clearly demonstrated that, along with a conventional understanding of Indigenous place names as stable and conservative, there is a dynamic model of place naming to be found in nomadic societies, when the names are not only passed through generations but also modified and created. This finding required a number of methodological approaches regarding how researchers might collect and represent geospatial concepts and place names in nomadic societies, with the use of GIS technology. Our project attempts to approach this issue by creating an open digital platform that combines GIS with Indigenous vernacular cartography, place names, and a great variety of data regarding the meaning and use of toponyms, their evolution, and change. We call this approach a “process toponymy” and advocate for applying a semiotic approach to documenting and representing Indigenous place names’ knowledge via GIS-based platforms. Numéro de notice : A2022-848 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart-2022-0010 Date de publication en ligne : 02/11/2022 En ligne : https://doi.org/10.3138/cart-2022-0010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102086 [article]

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031-2022031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

GIS-based multi-criteria analysis of the suitability of western Siberian forest-steppe lands / V.K. Kalichkin in Annals of GIS, vol 27 n° 2 (April 2021)  

Public [article]  inAnnals of GIS > vol 27 n° 2 (April 2021) . - pp 225 - 237 Titre : GIS-based multi-criteria analysis of the suitability of western Siberian forest-steppe lands Type de document : Article/Communication Auteurs : V.K. Kalichkin, Auteur ; A.I. Pavlova, Auteur ; O.M. Logachova, Auteur Année de publication : 2021 Article en page(s) : pp 225 - 237 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] adaptation (biologie) [Termes IGN] analyse multicritère [Termes IGN] base de données localisées [Termes IGN] blé (céréale) [Termes IGN] combinaison linéaire ponderée [Termes IGN] image captée par drone [Termes IGN] processus de hiérarchisation analytique [Termes IGN] Sibérie Résumé : (auteur) The main purpose of this work is to assess the suitability of land for cultivation of the main agricultural crop of Western Siberia, namely spring wheat. The algorithm of land suitability assessment was developed on the territory of the test plot of land-use of CJSC Mirny, Kochenevsky District, Novosibirsk Region. For assessment of land suitability on the basis of expert knowledge, criteria related to relief and soil, not only known but also specific, inherent in the area under consideration, have been identified. In the absence of information on the topography and relief of the territory under consideration, the spatial database of geodata was created based on the results of high-resolution digital aerial photography from an unmanned aerial vehicle (UAV). Elementary surfaces (ESs) at the micro-relief level have been determined with the help of GIS tools. Two most popular methods of obtaining criterion weights have been analysed: Analytic Hierarchy Process and the direct ranking method, and under certain conditions, a connection between these methods have been established. To assess the land suitability, the land suitability indices of selected ESs were calculated using GIS-MCDA (Multiple-Criteria Decision Analysis) method Weighted linear combination. Based on the value of land suitability index for all ESs, belonging to a certain suitability class according to FAO classification has been established. A map of land suitability with an assessment of spring wheat sowing expediency was obtained. Numéro de notice : A2021-627 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/19475683.2020.1848920 Date de publication en ligne : 08/12/2020 En ligne : https://doi.org/10.1080/19475683.2020.1848920 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98257 [article]

Exposure-related forest-steppe: A diverse landscape type determined by topography and climate / Martin Hais in Journal of Arid Environments, vol 135 (December 2016)  

Public [article]  inJournal of Arid Environments > vol 135 (December 2016) . - pp 75 - 84 Titre : Exposure-related forest-steppe: A diverse landscape type determined by topography and climate Type de document : Article/Communication Auteurs : Martin Hais, Auteur ; Milan Chytrý, Auteur ; Michal Horsak, Auteur Année de publication : 2016 Article en page(s) : pp 75 - 84 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] climat continental [Termes IGN] hétérogénéité spatiale [Termes IGN] image Landsat [Termes IGN] modèle numérique de surface [Termes IGN] occupation du sol [Termes IGN] pente [Termes IGN] précipitation [Termes IGN] Sibérie [Termes IGN] steppe [Termes IGN] topographie locale [Vedettes matières IGN] Ecologie forestière Résumé : (auteur) Topographic heterogeneity under dry continental climate can create a landscape mosaic called “exposure-related forest-steppe”, characterized by a regular pattern of forest on the north- and steppe on the south-facing slopes. Here we identify the climatic and topographic determinants of this landscape type, using a model of the Altai Mountains in southern Siberia because they (1) contain large areas of forest-steppe together with forested and steppe landscapes, and (2) possess well-preserved natural land-cover. Based on the Landsat land-cover classification and digital elevation model we identified areas containing exposure-related forest-steppe and modeled their climatic and topographic thresholds using regression trees. The models showed that in the Altai exposure-related forest-steppe is most common in topographically heterogeneous areas with May–September precipitation of 226–377 mm and a mean July temperature of 13.8–15.6 °C. Its existence is jointly determined by hilly topography and a climate that is moist enough to support tree growth on north-facing slopes, but insufficiently so to support woodland development on south-facing slopes. This is consistent with the concept of effective topographic heterogeneity, suggesting that topographic heterogeneity on the landscape level is translated into high habitat diversity and species diversity only within a certain range of climatic conditions. Numéro de notice : A2016--158 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.jaridenv.2016.08.011 Date de publication en ligne : 31/08/2016 En ligne : https://doi.org/10.1016/j.jaridenv.2016.08.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86984 [article]

Télédétection multi-échelle des lacs depuis un aéronef ultraléger motorisé / Y. Akhtman in Géomatique suisse, vol 112 n° 9 (septembre 2014)  

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Sibérie / O. Rolin (2011)

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3D-model of Siberian fortress / M. Anikushkin in GIM international, vol 22 n° 7 (July 2008)

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Changing regimes: forested land cover dynamics in Central Siberia 1974-2001 / K.M. Bergen in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 6 (June 2008)  

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Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses / H. Kobayashi in Remote sensing of environment, vol 106 n° 2 (30/01/2007)  

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A simple and effective radiometric correction method to improve landscape change detection across sensors and across time / X. Chen in Remote sensing of environment, vol 98 n° 1 (30/09/2005)  

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Géographie universelle. Tome 5 Etats de la baltique, Russie / Paul Vidal De La Blache (1932)

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Nouvelle géographie universelle / Elisée Reclus (1881)

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