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Exploitation de séries temporelles d'images multi-sources pour la cartographie des surfaces en eau / Filsa Bioresita (2019)
Titre : Exploitation de séries temporelles d'images multi-sources pour la cartographie des surfaces en eau Type de document : Thèse/HDR Auteurs : Filsa Bioresita, Auteur ; Anne Puissant, Directeur de thèse Editeur : Strasbourg : Université de Strasbourg Année de publication : 2019 Importance : 214 p. Format : 21 x 30 cm Note générale : Bibliographie
PhD Thesis University of Strasbourg for obtaining the degree of Doctor of the University of Strasbourg, Speciality: Geography, GeomaticsLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] biodiversité
[Termes IGN] eau de surface
[Termes IGN] estimation bayesienne
[Termes IGN] fusion d'images
[Termes IGN] image Sentinel-MSI
[Termes IGN] image Sentinel-SAR
[Termes IGN] inondation
[Termes IGN] nutriment végétal
[Termes IGN] polarimétrie
[Termes IGN] série temporelle
[Termes IGN] service écosystémique
[Termes IGN] surveillance hydrologique
[Termes IGN] télédétection spatiale
[Termes IGN] traitement automatique de donnéesIndex. décimale : THESE Thèses et HDR Résumé : (auteur) Les eaux de surface sont des ressources importantes pour la biosphère et l'anthroposphère. Elles favorisent la préservation des habitats, le développement de la biodiversité et le maintien des services écosystémiques en contrôlant le cycle des nutriments et le carbone à l’échelle mondiale. Elles sont essentielles à la vie quotidienne de l’homme, notamment pour l'irrigation, la consommation d’eau potable, la production hydro-électrique, etc. Par ailleurs, lors des inondations, elles peuvent présenter des dangers pour l'homme, les habitations et les infrastructures. La surveillance des changements dynamiques des eaux de surface a donc un rôle primordial pour guider les choix des gestionnaires dans le processus d’aide à la décision. L’imagerie satellitaire constitue une source de données adaptée permettant de fournir des informations sur les eaux de surface. De nos jours, la télédétection satellitaire a connu une révolution avec le lancement des satellites Sentinel-1 (Radar) et Sentinel-2 (Optique) qui disposent d’une haute fréquence de revisite et d’une résolution spatiale moyenne à élevée. Ces données peuvent fournir des séries temporelles essentielles pour apporter davantage d'informations afin d'améliorer la capacité d'observation des eaux de surface. L’exploitation de telles données massives et multi-sources pose des défis en termes d’extraction de connaissances et de processus de traitement d’images car les chaines de traitement doivent être le plus automatiques possibles. Dans ce contexte, l'objectif de ce travail de thèse est de proposer de nouvelles approches permettant de cartographier l’extension spatiales des eaux de surface et des inondations, en explorant l'utilisation unique et combinée des données Sentinel-1 et Sentinel-2. Note de contenu : 1- Introduction, research questions and objectives
2- The state of the art
3- Study area, data sets and pre-processing of Sentinel 1 & 2
4- Detection of surface water area using mono-date Sentinel 1 amplitude data
5- Detection of surface water area using time series of Sentinel 1 amplitude data and Sentinel 2 data
6- Another methods and validation on different thematic context
7- General conclusions and perspectivesNuméro de notice : 25726 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : PhD Thesis : Geography, Geomatics : Strasbourg : 2019 nature-HAL : Thèse DOI : sans En ligne : https://hal.science/hal-03618382/document Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94887
Titre : Forest hydrology and watershed Type de document : Monographie Auteurs : Fan-Rui Meng, Auteur ; Altaf Arain, Auteur ; Qiang Li, Auteur ; et al., Auteur Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 208 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03921-385-6 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] bassin hydrographique
[Termes IGN] Chine
[Termes IGN] forêt ripicole
[Termes IGN] forêt subalpine
[Termes IGN] hydrologie
[Termes IGN] modèle hydrographique
[Termes IGN] Picea abies
[Termes IGN] précipitation
[Termes IGN] puits de carbone
[Termes IGN] reboisement
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (éditeur) Hydrological processes in forested watersheds are influenced by environmental, physiological, and biometric factors such as precipitation, radiation, temperature, species type, leaf area, and extent and structure of forest ecosystems. Over the past two centuries, forest coverage and forest structures have been impacted globally by anthropogenic activities, for example, forest harvesting, and conversion of forested landscapes for plantations and urbanization. In addition, since the industrial revolution, climate change has resulted in profound impacts on forest ecosystems due to higher carbon dioxide (CO2) concentration or CO2 fertilization, warmer temperatures, changes in frequency and intensity of extreme weather events and natural disturbances. As a result, hydrological processes in forested watersheds have been altered by these natural and anthropogenic factors and these changes are expected to accelerate due to future changing climatic conditions. Hence, understanding how various environmental, physiological, and physical drivers interactively influence hydrological and biogeochemical processes in forest ecosystems is critical for sustainable water supply in forested watersheds. About 21% of the global population depends on water sources that originate in forested catchments where forest coverage larger than 30%. Furthermore, there are knowledge gaps in our understanding of the mechanism of hydrological and hydrochemical cycles in forested watersheds. This Special Issue addresses these gaps in our knowledge and includes twelve papers in the following three major research themes in forest watershed areas. Note de contenu : 1- Biomass carbon sequestration potential by riparian forest in the Tarim River watershed, Northwest China: Implication for the mitigation of climate change impact
2- Spatial and temporal patterns in nonstationary flood frequency across a forest watershed: Linkage with rainfall and land use types
3- Quantifying impacts of forest recovery on water yield in two large watersheds in the cold region of Northeast China
4- Evaluation of the water-storage capacity of bryophytes along an altitudinal gradient from temperate forests to the Alpine zone
5- The hydrological impact of extreme weather-induced forest disturbances in a tropical
experimental watershed in South China
6- Attribution analysis for runoff change on multiple scales in a humid subtropical basin dominated by forest, East China
7- The cumulative effects of forest disturbance and climate variability on streamflow in the Deadman River watershed
8- Two centuries-long streamflow reconstruction inferred from tree rings for the middle
reaches of the Weihe River in Central China
9- Contrasting differences in responses of streamflow regimes between reforestation and fruit tree planting in a subtropical watershed of China
10- The radial growth of schrenk spruce (Picea schrenkiana Fisch. et Mey.) records the
hydroclimatic changes in the Chu River basin over the past 175 years
11- Forest canopy can efficiently filter trace metals in deposited precipitation in a subalpine spruce plantation
12- Woody litter increases headwater stream metal export ratio in an Alpine forestNuméro de notice : 25956 Affiliation des auteurs : non IGN Thématique : FORET Nature : Monographie DOI : 10.3390/books978-3-03921-386-3 En ligne : https://doi.org/10.3390/books978-3-03921-386-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96424 Forest inventory sensitivity to UAS-based image processing algorithms / Bonifasius Maturbongs in Annals of forest research, vol 62 n° 1 (January - June 2019)
[article]
Titre : Forest inventory sensitivity to UAS-based image processing algorithms Type de document : Article/Communication Auteurs : Bonifasius Maturbongs, Auteur ; Michael G. Wing, Auteur ; Bogdan M. Strimbu, Auteur ; Jon Burnett, Auteur Année de publication : 2019 Article en page(s) : pp 87 - 108 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] données lidar
[Termes IGN] gestion forestière
[Termes IGN] hauteur des arbres
[Termes IGN] image captée par drone
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] photographie aérienne
[Termes IGN] Pseudotsuga menziesii
[Termes IGN] segmentation dynamique
[Termes IGN] semis de points
[Termes IGN] structure-from-motionRésumé : (auteur) Frequent and accurate estimation of forest structure parameters, such as number of trees per hectare or total height, are mandatory for sustainable forest management. Unmanned aircraft system (UAS) equipped with inexpensive sensors can be used to monitor and measure forest structure. The detailed information provided by the UAS allows tree level forest inventory. However, tree identification depends on a variety of parameters defining the image processing and tree segmentation algorithms. The objective of our study was to identify parameter combinations that accurately delineated trees and their heights. We evaluated the impact of different tree segmentation and point cloud generation algorithms on forest inventory from imagery collected with a UAS over a mature Douglas-fir plantation forest. We processed the images with two commonly used commercial software packages, Agisoft PhotoScan and Pix4Dmapper, both implementing image processing algorithms called Structure from Motion. For each software we generated photogrammetric point clouds by varying the parameters defining the implementation. We segmented individual trees and heights using three tree algorithms: Variable Window Filter, Graph-Theoretical, and Watershed Segmentation. We assessed the impact of image processing algorithms on forest inventory by comparing the estimated trees with trees manually identified from the point clouds. We found that the type of tree segmentation and image processing algorithms have a significant effect in accurately identifying trees. For tree height estimation, we found strong evidence that image processing algorithms had significant effects, whereas tree segmentation algorithms did not significantly affect tree height estimation.These findings may be of interest to others that are using high-resolution spatial imagery to estimate forest inventory parameters. Numéro de notice : A2019-580 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.15287/afr.2018.1282 Date de publication en ligne : 30/07/2019 En ligne : http://dx.doi.org/10.15287/afr.2018.1282 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94487
in Annals of forest research > vol 62 n° 1 (January - June 2019) . - pp 87 - 108[article]
Titre : Growth and ecosystem services of urban trees Type de document : Monographie Auteurs : Thomas Rötzer, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 170 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-03921-593-5 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] arbre urbain
[Termes IGN] climat urbain
[Termes IGN] croissance des arbres
[Termes IGN] écosystème urbain
[Termes IGN] forêt urbaine
[Termes IGN] ilot thermique urbain
[Termes IGN] paysage urbain
[Termes IGN] phénologie
[Termes IGN] puits de carbone
[Termes IGN] service écosystémique
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (éditeur) Numerous studies indicate an accelerated growth of forest trees, induced by ongoing climate change. Similar trends were recently found for urban trees in major cities worldwide. Studies frequently report about substantial effects of climate change and the urban heat island effect (UHI) on plant growth. The combined effects of increasing temperatures, changing precipitation patterns, and extended growing season lengths, in addition to increasing nitrogen deposition and higher CO2 concentrations, can increase but also reduce plant growth. Closely related to this, the multiple functions and services provided by urban trees may be modified. Urban trees generate numerous ecosystem services, including carbon storage, mitigation of the heat island effect, reduction of rainwater runoff, pollutant filtering, recreation effects, shading, and cooling. The quantity of the ecosystem services is often closely associated with the species, structure, age, and size of the tree as well as with a tree’s vitality. Therefore, greening cities, and particularly planting trees, seems to be an effective option to mitigate climate change and the UHI. The focus of this Special Issue is to underline the importance of trees as part of the urban green areas for major cities in all climate zones. Empirical as well as modeling studies of urban tree growth and their services and disservices in cities worldwide are included. Articles about the dynamics, structures, and functions of urban trees as well as the influence of climate and climate change on urban tree growth, urban species composition, carbon storage, and biodiversity are also discussed. Note de contenu : 1- Growth of abies sachalinensis along an urban gradient affected by environmental pollution in Sapporo, Japan
2- Modeling ecosystem services for park trees: Sensitivity of i-tree eco simulations to light exposure and tree species classification
3- How do tilia cordata greenspire trees cope with drought stress regarding their biomass allocation and ecosystem services?
4- Structure, diversity, and carbon stocks of the tree community of Kumasi, Ghana
5- Preferences of tourists for the service quality of Taichung Calligraphy Greenway in Taiwan
6- Mutual influences of urban microclimate and urban trees: An investigation of phenology and cooling capacity
7- The influence of individual-specific plant parameters and species composition on the
allergenic potential of urban green spaces
8- Tree vitality assessment in urban landscapes
9- Spatio-temporal patterns of urban forest basal area under China’s rapid urban expansion and greening: Implications for urban green infrastructure management
10- Urban park systems to support sustainability: The role of urban park systems in hot arid urban climatesNuméro de notice : 25961 Affiliation des auteurs : non IGN Thématique : FORET Nature : Monographie DOI : 10.3390/books978-3-03921-593-5 En ligne : https://doi.org/10.3390/books978-3-03921-593-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96506 A growth-model-driven technique for tree stem diameter estimation by using airborne LiDAR data / Claudia Paris in IEEE Transactions on geoscience and remote sensing, vol 57 n° 1 (January 2019)
[article]
Titre : A growth-model-driven technique for tree stem diameter estimation by using airborne LiDAR data Type de document : Article/Communication Auteurs : Claudia Paris, Auteur ; Lorenzo Bruzzone, Auteur Année de publication : 2019 Article en page(s) : pp 76 - 92 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Alpes
[Termes IGN] analyse discriminante
[Termes IGN] croissance des arbres
[Termes IGN] diamètre à hauteur de poitrine
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] modèle de croissance végétale
[Termes IGN] Pinophyta
[Termes IGN] régression
[Termes IGN] structure d'un peuplement forestierRésumé : (Auteur) Diameter at breast height (DBH) is one of the most important tree parameter for forest inventory. In this paper, we present a novel method for the adaptive and the accurate DBH estimation of trees characterized by small and large stems. The method automatically discriminates among different tree growth models by means of a data-driven technique based on a clustering procedure. First, the method detects young trees belonging to the lowest forest layer by simply considering the vertical structure of the forest. Then, different clusters of mature trees that are expected to share the same growth-model are identified by analyzing the environmental factors that can affect the stem expansion (e.g., topography and forest density). For each detected growth-model cluster, a tailored regression analysis is performed to obtain accurate DBH estimation results. Experiments have been carried out in an homogeneous coniferous forest located in the Alpine mountainous scenario characterized by a complex topography and a wide range of soil fertility. The method was tested on two data sets characterized by different light detection and ranging (LiDAR) point densities and different forest properties. The results obtained demonstrate the effectiveness of having multiple regression models adapted to the different growth models. Numéro de notice : A2019-103 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2018.2852364 Date de publication en ligne : 07/08/2018 En ligne : https://doi.org/10.1109/TGRS.2018.2852364 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92409
in IEEE Transactions on geoscience and remote sensing > vol 57 n° 1 (January 2019) . - pp 76 - 92[article]Individual tree detection and crown delineation with 3D information from multi-view satellite Images / Changlin Xiao in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 1 (January 2019)PermalinkIs field-measured tree height as reliable as believed – A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest / Yunsheng Wang in ISPRS Journal of photogrammetry and remote sensing, vol 147 (January 2019)PermalinkA large-scale forest dynamic model to estimate wood resources in the French forests based on NFI information / Timothée Audinot (2019)PermalinkMacroalgues intertidales : Apport de la télédétection hyperspectrale pour le suivi sectoriel dans le cadre de la DCE/DCSMM / Arnaud Le Bris (2019)PermalinkMeasuring stem diameters with TLS in boreal forests by complementary fitting procedure / Timo P Pitkänen in ISPRS Journal of photogrammetry and remote sensing, vol 147 (January 2019)PermalinkMicrowave indices from active and passive sensors for remote sensing applications / Emanuele Santi (2019)PermalinkMonitoring crops water needs at high spatio-temporal resolution by synergy of optical / thermal and radar observations / Abdelhakim Amazirh (2019)PermalinkRapport d'activité 2018 de l'Institut National de l'Information Géographique et Forestière IGN, 1. Les missions et activités de l'IGN / Institut national de l'information géographique et forestière (2012 -) (2019)PermalinkRecommandations pour une récolte durable de biomasse forestière pour l’énergie / Guy Landmann (2019)PermalinkRéévaluation de la ressource et de la disponibilité en bois d’oeuvre des essences feuillues et conifères en France / Philippe Monchaux (2019)Permalink