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Latent heat flux variability and response to drought stress of black poplar: A multi-platform multi-sensor remote and proximal sensing approach to relieve the data scarcity bottleneck / Flavia Tauro in Remote sensing of environment, vol 268 (January 2022)  

Public [article]  inRemote sensing of environment > vol 268 (January 2022) . - n° 112771 Titre : Latent heat flux variability and response to drought stress of black poplar: A multi-platform multi-sensor remote and proximal sensing approach to relieve the data scarcity bottleneck Type de document : Article/Communication Auteurs : Flavia Tauro, Auteur ; Antonino Maltese, Auteur ; Roberto Giannini, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 112771 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] bioénergie [Termes IGN] évapotranspiration [Termes IGN] gestion de l'eau [Termes IGN] image captée par drone [Termes IGN] image satellite [Termes IGN] irrigation [Termes IGN] Piémont (Italie) [Termes IGN] Populus nigra [Termes IGN] sécheresse [Termes IGN] stress hydrique Résumé : (auteur) High-throughput mapping of latent heat flux (λET) is critical to efforts to optimize water resources management and to accelerate forest tree breeding for improved drought tolerance. Ideally, investigation of the energy response at the tree level may promote tailored irrigation strategies and, thus, maximize crop biomass productivity. However, data availability is limited and planning experimental campaigns in the field can be highly operationally complex. To this end, a multi-platform multi-sensor observational approach is herein developed to dissect the λET signature of a black poplar (Populus nigra) breeding population (“POP6”) at the canopy level. POP6 comprised more than 4600 trees representing 503 replicated genotypes, whose parents were derived from contrasting environmental conditions. Trees were trialed in two adjacent plots where different irrigation treatments (moderate drought [mDr] and well-watered [WW]) were applied. Data collected from satellite and unmanned aerial vehicles (UAVs) remote sensing as well as from ground-based proximal sensors were integrated at consistent spatial aggregation and combined to compute the surface energy balance of the trees through a modified Priestley-Taylor method. Here, we demonstrated that λET response was significantly different between WW and mDr trees, whereby genotypes in mDr conditions exhibited larger standard deviations. Importantly, genotypes classified as drought tolerant based on the stress susceptibility index (SSI) presented λET values significantly higher than the rest of the population. This study confirmed that water limitation in mDr settings led to reduced soil moisture in the tree root zone and, thus, to lower λET. These results pave the way to breeding poplar and other bioenergy crops with this underexploited trait for higher λET. Most notably, the illustrated work demonstrates a multi-platform multi-sensor data fusion approach to tackle the global challenge of monitoring landscape-scale ecosystem processes at fine resolution. Numéro de notice : A2022-087 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.rse.2021.112771 Date de publication en ligne : 05/11/2021 En ligne : https://doi.org/10.1016/j.rse.2021.112771 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99496 [article]

Visual analysis of geospatial multivariate data for investigating radioactive deposition processes / Shigeo Takahashi in The Visual Computer, vol 37 n° 12 (December 2021)  

Public [article]  inThe Visual Computer > vol 37 n° 12 (December 2021) . - pp 3039 - 3050 Titre : Visual analysis of geospatial multivariate data for investigating radioactive deposition processes Type de document : Article/Communication Auteurs : Shigeo Takahashi, Auteur ; Daisuke Sakurai, Auteur ; Miyuki Sasaki, Auteur ; Hiroko N. Miyamura, Auteur ; Yukihisa Sanada, Auteur Année de publication : 2021 Article en page(s) : pp 3039 - 3050 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] accident nucléaire [Termes IGN] analyse géovisuelle [Termes IGN] analyse multicritère [Termes IGN] analyse multivariée [Termes IGN] contamination [Termes IGN] Japon [Termes IGN] pollution atmosphérique [Vedettes matières IGN] Géovisualisation Résumé : (auteur) The Fukushima nuclear accident of 2011 raised awareness of the importance of radioactive deposition processes, especially for proposing aerosol measures against possible air pollution. However, identifying these types of processes is often difficult due to complicated terrains. This paper presents an application study for identifying radioactive deposition processes by taking advantage of visual interaction with topographic data. The idea is to visually investigate the correspondence of the spatial positions to the air dose rate along with relevant attributes. This is accomplished by composing scatterplots of pairwise attributes, onto which we project terrain areas to interactively find specific patterns of such attributes. We applied our approach to the analysis of air dose rate distribution data around the Fukushima nuclear plant after the accident. Our visualization technique clearly distinguished contamination areas derived from different deposition processes and thus is useful for elucidation of the deposition process. Numéro de notice : A2021-906 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s00371-021-02248-6 Date de publication en ligne : 20/07/2021 En ligne : https://doi.org/10.1007/s00371-021-02248-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99314 [article]

Multi-scale coal fire detection based on an improved active contour model from Landsat-8 satellite and UAV images / Yanyan Gao in ISPRS International journal of geo-information, vol 10 n° 7 (July 2021)  

Public [article]  inISPRS International journal of geo-information > vol 10 n° 7 (July 2021) . - n° 449 Titre : Multi-scale coal fire detection based on an improved active contour model from Landsat-8 satellite and UAV images Type de document : Article/Communication Auteurs : Yanyan Gao, Auteur ; Ming Hao, Auteur ; Yunjia Wang, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 449 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] charbon [Termes IGN] classification floue [Termes IGN] classification par nuées dynamiques [Termes IGN] détection de contours [Termes IGN] image captée par drone [Termes IGN] image Landsat-8 [Termes IGN] incendie [Termes IGN] Sinkiang (Chine) [Termes IGN] température au sol Résumé : (auteur) Underground coal fires can increase surface temperature, cause surface cracks and collapse, and release poisonous and harmful gases, which significantly harm the ecological environment and humans. Traditional methods of extracting coal fires, such as global threshold, K-mean and active contour model, usually produce many false alarms. Therefore, this paper proposes an improved active contour model by introducing the distinguishing energies of coal fires and others into the traditional active contour model. Taking Urumqi, Xinjiang, China as the research area, coal fires are detected from Landsat-8 satellite and unmanned aerial vehicle (UAV) data. The results show that the proposed method can eliminate many false alarms compared with some traditional methods, and achieve detection of small-area coal fires by referring field survey data. More importantly, the results obtained from UAV data can help identify not only burning coal fires but also potential underground coal fires. This paper provides an efficient method for high-precision coal fire detection and strong technical support for reducing environmental pollution and coal energy use. Numéro de notice : A2021-552 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi10070449 Date de publication en ligne : 30/06/2021 En ligne : https://doi.org/10.3390/ijgi10070449 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98084 [article]

Forest biomass / Ana Cristina Goncalves (2021)  

Public Titre : Forest biomass : from trees to energy Type de document : Monographie Auteurs : Ana Cristina Goncalves, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 ISBN/ISSN/EAN : 978-1-83962-971-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biomasse forestière [Termes IGN] bois énergie [Termes IGN] image Sentinel-MSI [Termes IGN] occupation du sol [Termes IGN] Pinus pinaster [Termes IGN] télédétection spatiale [Termes IGN] utilisation du sol Index. décimale : 35.41 Applications de télédétection - végétation Résumé : (Editeur) Forests are responsible for the largest net biomass carbon production. They store the most standing biomass and carbon and thus they are an important source of bioenergy. Their importance is linked to their relative abundance and uniformity worldwide and the neutrality of CO2 emissions from biomass conversion to energy. Yet, the use of biomass for energy presents risks related to forest system sustainability and demands for new environmentally sustainable strategies for its use. This book provides a comprehensive overview of the current state of the art in a multitude of subjects related to forest bioenergy, ranging from trees, forest stand management, and biomass assessment to waste management, conversion technologies, and routes and energy applications. Note de contenu : 1. Energy Production from Forest Biomass: An Overview By Ana Cristina Gonçalves, Isabel Malico and Adélia M.O. Sousa 2. The Potential of Sentinel-2 Satellite Images for Land-Cover/Land-Use and Forest Biomass Estimation: A Review By Crismeire Isbaex and Ana Margarida Coelho 3. Biomass Estimation Using Satellite-Based Data By Patrícia Lourenço 4. Management of Maritime Pine: Energetic Potential with Alternative Silvicultural Guidelines By Teresa Fonseca and José Lousada 5. Evergreen Oak Biomass Residues for Firewood By Isabel Malico, Ana Cristina Gonçalves and Adélia M.O. Sousa 6. Koroch (Pongamia pinnata): A Promising Unexploited Resources for the Tropics and Subtropics By Abul Kalam Mohammad Aminul Islam, Swapan Chakrabarty, Zahira Yaakob, Mohammad Ahiduzzaman and Abul Kalam Mohammad Mominul Islam 7. Case Study: Pathways from Forest to Energy in a Circular Economy at Lafões By Ana d’Espiney, Isabel Paula Marques and Helena Maria Pinheiro 8. Methodology for the Evaluation of the Electrical Energy Potential of Residual Biomass from the Wood Industry: A Case Study in Brazil By Augusto César de Mendonça Brasil 9. Opportunities of Circular Economy in a Complex System of Woody Biomass and Municipal Sewage Plants By Attila Bai and Zoltán Gabnai Numéro de notice : 26710 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.90324 Date de publication en ligne : 10/02/2021 En ligne : https://doi.org/10.5772/intechopen.90324 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99479

Forest Products / United Nations Economic Commission for Europe (2021)  

Public Titre : Forest Products : Annual Market Review 2020-2021 Type de document : Rapport Auteurs : United Nations Economic Commission for Europe, Auteur ; Food and agriculture organization of the United Nations, Auteur Editeur : Genève [Suisse] : United Nations Economic Commission for Europe UNECE Année de publication : 2021 Collection : Geneva timber and forest study papers, ISSN 1020-2269 num. 46 Importance : 85 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-92-1-117279-9 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Economie européenne [Termes IGN] bois [Termes IGN] bois énergie [Termes IGN] économie européenne [Termes IGN] forêt [Termes IGN] industrie forestière [Termes IGN] marché Numéro de notice : IFN_2287 Affiliation des auteurs : non IGN Thématique : FORET Nature : Rapport statistique En ligne : https://unece.org/sites/default/files/2021-11/2114516E_Inside_Final_web.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99592

Voir aussi

• Forest Products Annual Market Review 2015-2016 / United Nations Economic Commission for Europe (2017)  
• Forest Products Annual Market Review 2014-2015 / United Nations Economic Commission for Europe (2015)  
• Forest Products Annual Market Review 2007-2008 / United Nations Economic Commission for Europe (2008)    

Improving aboveground biomass estimates by taking into account density variations between tree components / Antoine Billard in Annals of Forest Science [en ligne], vol 77 n° 4 (December 2020)  

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Analysis of the effect of climate warming on paludification processes: Will soil conditions limit the adaptation of Northern boreal forests to climate change? A synthesis / Ahmed Laamrani in Forests, vol 11 n°11 (November 2020)  

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Profitability of growing Scots pine on cutaway peatlands / Lasse Aro in Silva fennica, vol 54 n° 3 (June 2020)  

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Statistical assessment of cartographic product from photogrammetry and fixed-wing UAV acquisition / Ademir Marques Junior in European journal of remote sensing, vol 53 n° 1 (2020)  

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Développement d'un outil SIG pour la consultation et l'édition de projets éoliens / Lilian Martin (2020)  

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European Forest Accounts - Années 2016-2017 : Rapport d’étude / Alexandra Niedzwiedz (2020)  

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Knowledge graphs and big data processing / Valentina Janev (2020)  

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Partial linear NMF-based unmixing methods for detection and area estimation of photovoltaic panels in urban hyperspectral remote sensing data / Moussa Sofiane Karoui in Remote sensing, vol 11 n° 18 (September 2019)  

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Free and open-source GIS technologies for the management of woody biomass / Michele Mangiameli in Applied geomatics, vol 11 n° 3 (September 2019)  

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Calculating potential evapotranspiration and single crop coefficient based on energy balance equation using Landsat 8 and Sentinel-2 / Ali Mokhtari in ISPRS Journal of photogrammetry and remote sensing, vol 154 (August 2019)  

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