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Big Data in Bioeconomy : Results from the European DataBio Project
| Big Data in Bioeconomy : Results from the European DataBio Project |
| Autore | Södergård Caj |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (416 p.) |
| Altri autori (Persone) |
MildorfTomas
HabyarimanaEphrem BerreArne J FernandesJose A Zinke-WehlmannChristian |
| Soggetto topico |
Forestry & silviculture: practice & techniques
Agricultural science Databases Environmental economics Dades massives Biologia econòmica |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Data-driven bioeconomy
big data artificial intelligence agriculture forestry earth observation satellite images fishery open access |
| ISBN | 3-030-71069-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Introduction -- Glossary -- Contents -- Part I Technological Foundation: Big Data Technologies for BioIndustries -- 1 Big Data Technologies in DataBio -- 1.1 Basic Concepts of Big Data -- 1.2 Pipelines and the BDV Reference Model -- 1.3 Open, Closed and FAIR Data -- 1.4 The DataBio Platform -- 1.5 Introduction to the Technology Chapters -- Literature -- 2 Standards and EO Data Platforms -- 2.1 Introduction -- 2.2 Standardization Organizations and Initiatives -- 2.2.1 The Role of Location in Bioeconomy -- 2.2.2 The Role of Semantics in Bioeconomy
2.3 Architecture Building Blocks for Cloud Based Services -- 2.4 Principles of an Earth Observation Cloud Architecture for Bioeconomy -- 2.4.1 Paradigm Shift: From SOA to Web API -- 2.4.2 Data and Processing Platform -- 2.4.3 Exploitation Platform -- 2.5 Standards for an Earth Observation Cloud Architecture -- 2.5.1 Applications and Application Packages -- 2.5.2 Application Deployment and Execution Service (ADES) -- 2.5.3 Execution Management Service (EMS) -- 2.5.4 AP, ADES, and EMS Interaction -- 2.6 Standards for Billing and Quoting -- 2.7 Standards for Security 2.8 Standards for Discovery, Cataloging, and Metadata -- 2.9 Summary -- References -- Part II Data Types -- 3 Sensor Data -- 3.1 Introduction -- 3.2 Internet of Things in Bioeconomy Sectors -- 3.3 Examples from DataBio -- 3.3.1 Gaiatrons -- 3.3.2 AgroNode -- 3.3.3 SensLog and Data Connectors -- 3.3.4 Mobile/Machinery Sensors -- References -- 4 Remote Sensing -- 4.1 Introduction -- 4.2 Earth Observation Relation to Big Data -- 4.3 Data Formats, Storage and Access -- 4.3.1 Formats and Standards -- 4.3.2 Data Sources -- 4.4 Selected Technologies -- 4.4.1 Metadata Catalogue 4.4.2 Object Storage and Data Access -- 4.5 Usage of Earth Observation Data in DataBio's Pilots -- References -- 5 Crowdsourced Data -- 5.1 Introduction -- 5.2 SensLog VGI Profile -- 5.3 Maps as Citizens Science Objects -- References -- 6 Genomics Data -- 6.1 Introduction -- 6.2 Genomic and Other Omics Data in DataBio -- 6.3 Genomic Data Management Systems -- References -- Part III Data Integration and Modelling -- 7 Linked Data and Metadata -- 7.1 Introduction -- 7.2 Metadata -- 7.3 Linked Data -- 7.4 Linked Data Best Practices -- 7.5 The Linked Open Data (LOD) Cloud 7.6 Enterprise Linked Data (LED) -- References -- 8 Linked Data Usages in DataBio -- 8.1 Introduction -- 8.2 Linked Data Pipeline Instantiations in DataBio -- 8.2.1 Linked Data in Agriculture Related to Cereals and Biomass Crops -- 8.2.2 Linked Sensor Data from Machinery Management -- 8.2.3 Linked Open EU-Datasets Related to Agriculture and Other Bio Sectors -- 8.2.4 Linked (Meta) Data of Geospatial Datasets -- 8.2.5 Linked Fishery Data -- 8.3 Experiences from DataBio with Linked Data -- 8.3.1 Usage and Exploitation of Linked Data -- 8.3.2 Experiences in the Agricultural Domain 8.3.3 Experiences with DBpedia |
| Record Nr. | UNINA-9910494568803321 |
Södergård Caj
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Climate-Smart Forestry in Mountain Regions
| Climate-Smart Forestry in Mountain Regions |
| Autore | Tognetti Roberto |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (587 p.) |
| Altri autori (Persone) |
SmithMelanie
PanzacchiPietro |
| Collana | Managing Forest Ecosystems |
| Soggetto topico |
Forestry & silviculture: practice & techniques
Conservation of the environment Ecological science, the Biosphere Environmental monitoring Analytical chemistry Environmental economics Boscos Silvicultura Ecologia de les muntanyes Clima de muntanya |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
SDG 15
Climate-Smart Forestry Open Access CLIMO Forestry Management Life on Land Tree Biology |
| ISBN | 3-030-80767-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510547103321 |
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Tognetti Roberto
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hautes valeurs de conservation (HVC) dans les unités forestières d'aménagement du Cameroun : Concepts, choix et pratiques
| Hautes valeurs de conservation (HVC) dans les unités forestières d'aménagement du Cameroun : Concepts, choix et pratiques |
| Autore | Doucet Jean-Louis |
| Pubbl/distr/stampa | Gembloux, : Uliège Library, 2016 |
| Descrizione fisica | 1 electronic resource (94 p.) |
| Soggetto topico |
Tropical agriculture: practice & techniques
Forestry & silviculture: practice & techniques |
| Soggetto non controllato |
Gestion forestière durable
Hautes Valeurs de Conservation FSC Unités Forestières d'Aménagement Cameroun Certification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Altri titoli varianti | Hautes valeurs de conservation |
| Record Nr. | UNINA-9910153759103321 |
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Doucet Jean-Louis
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| Gembloux, : Uliège Library, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Italian National Forest Inventory--Methods and Results of the Third Survey : Inventario Nazionale Delle Foreste e Dei Serbatoi Forestali Di Carbonio--Metodi e Risultati Della Terza Indagine
| Italian National Forest Inventory--Methods and Results of the Third Survey : Inventario Nazionale Delle Foreste e Dei Serbatoi Forestali Di Carbonio--Metodi e Risultati Della Terza Indagine |
| Autore | Gasparini Patrizia |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (598 pages) |
| Altri autori (Persone) |
Di CosmoLucio
FlorisAntonio De LaurentisDavide |
| Collana | Springer Tracts in Civil Engineering |
| Soggetto topico |
Forestry & silviculture: practice & techniques
Environmental management The environment |
| Soggetto non controllato |
CREA
Arma dei Carabinieri Forestry Sciences Forests Assessment Biodiversity Forest Health Climate Change Mitigation |
| ISBN | 3-030-98678-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Italian National Forest InventoryâMethods and Results of the Third Survey |
| Record Nr. | UNINA-9910597142803321 |
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Gasparini Patrizia
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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La mesure des arbres et des peuplements forestiers
| La mesure des arbres et des peuplements forestiers |
| Autore | Rondeux Jacques |
| Pubbl/distr/stampa | Gembloux, : Uliège Library, 2021 |
| Descrizione fisica | 1 electronic resource (737 p.) |
| Soggetto topico | Forestry & silviculture: practice & techniques |
| Soggetto non controllato |
Sylviculture
Forestry |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Record Nr. | UNINA-9910557272703321 |
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Rondeux Jacques
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| Gembloux, : Uliège Library, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Les forêts de la Tshopo : écologie, histoire et composition
| Les forêts de la Tshopo : écologie, histoire et composition |
| Autore | De Cannière Charles |
| Pubbl/distr/stampa | Gembloux, : Uliège Library, 2020 |
| Descrizione fisica | 1 electronic resource (348 p.) |
| Soggetto topico |
Tropical agriculture: practice & techniques
Forestry & silviculture: practice & techniques |
| Soggetto non controllato |
Tsopo
Democratic Republic of Congo |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Altri titoli varianti |
Forêts de la Tshopo
forêts de la Tshopo |
| Record Nr. | UNINA-9910427557903321 |
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De Cannière Charles
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| Gembloux, : Uliège Library, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Plantation agroforestière d'Acacia auriculiformis dans le Haut-Katanga. Guide technique
| Plantation agroforestière d'Acacia auriculiformis dans le Haut-Katanga. Guide technique |
| Autore | Doucet Jean-Louis |
| Pubbl/distr/stampa | Gembloux, : Uliège Library, 2017 |
| Descrizione fisica | 1 electronic resource (53 p.) |
| Soggetto topico |
Tropical agriculture: practice & techniques
Forestry & silviculture: practice & techniques |
| Soggetto non controllato | agroforestery |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Record Nr. | UNINA-9910229239803321 |
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Doucet Jean-Louis
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| Gembloux, : Uliège Library, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Polarimetric Synthetic Aperture Radar : Principles and Application
| Polarimetric Synthetic Aperture Radar : Principles and Application |
| Autore | Hajnsek Irena |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (304 pages) |
| Altri autori (Persone) | DesnosYves-Louis |
| Collana | Remote Sensing and Digital Image Processing |
| Soggetto topico |
Geographical information systems (GIS) & remote sensing
Other technologies & applied sciences Teaching of a specific subject Agricultural science Forestry & silviculture: practice & techniques Urban & municipal planning |
| Soggetto non controllato |
Remote Sensing/Photogrammetry
Signal, Image and Speech Processing Science Education Agriculture Forestry Urban Geography / Urbanism (inc. megacities, cities, towns) Digital and Analog Signal Processing Urban Geography and Urbanism Earth Remote Sensing PolSARpro Radar Polarimetry Radar Polarimetry Toolbox Synthetic Aperture Radar Open Access Geographical information systems & remote sensing Imaging systems & technology Signal processing Teaching of a specific subject Science: general issues Agricultural science Forestry & silviculture: practice & techniques Urban & municipal planning |
| ISBN | 3-030-56504-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Pioneering Space-Borne SAR Interferometry -- Organising Airborne Polarimetric SAR Campaigns and Scientific Studies -- Dialoguing with POLinSAR Scientists and Training the Next Generation -- Pioneering Space-Borne SAR Polarimetric Interferometry -- Future Missions -- From Science to Applications -- Outlook -- In Memoriam -- Contents -- Symbols -- 1: Basic Principles of SAR Polarimetry -- 1.1 Theory of Radar Polarimetry -- 1.1.1 Wave Polarimetry -- 1.1.1.1 Electromagnetic Waves and Wave Polarization Descriptors -- 1.1.1.2 Totally and Partially Polarized Waves -- 1.1.1.3 Change of Polarization Basis -- 1.1.2 Scattering Polarimetry -- 1.1.2.1 The Scattering Matrix -- 1.1.2.2 Scattering Polarimetry Descriptors -- 1.1.2.3 Partial Scattering Polarimetry -- 1.1.2.4 Change of Polarization Basis -- 1.1.2.5 Scatterers Characterization by Single, Dual, Compact and Full Polarimetry -- 1.2 SAR Data Statistical Description and Speckle Noise Filtering -- 1.2.1 One-Dimensional Gaussian Distribution -- 1.2.2 Multidimensional Gaussian Distribution -- 1.2.3 The Wishart Distribution -- 1.2.4 The Polarimetric Covariance and Coherency Matrix -- 1.2.5 The Polarimetric Coherence -- 1.2.6 Polarimetric Speckle Noise Filtering -- 1.2.6.1 PolSAR Speckle Noise Filtering Principles -- 1.2.6.2 PolSAR Speckle Noise Filtering Alternatives -- 1.3 Polarimetric Scattering Decomposition Theorems -- 1.3.1 Coherent Scattering Decomposition Techniques -- 1.3.1.1 The Pauli Decomposition -- 1.3.2 Incoherent Scattering Decompositions Techniques -- 1.3.2.1 Three-Component Freeman Decomposition -- 1.3.2.2 Four-Component Yamaguchi Decomposition -- 1.3.2.3 Non-negative Eigenvalue Decomposition -- 1.3.2.4 Eigenvector-Eigenvalue-Based Decomposition -- 1.3.2.5 The Touzi Target Scattering Decompositions -- 1.4 Polarimetric SAR Interferometry.
1.4.1 SAR Interferometry -- 1.4.2 Algorithms for Optimum Interferogram Generation -- 1.4.3 Model-Based Polarimetric SAR Interferometry -- 1.4.3.1 PolInSAR for Bare Surface Scattering -- 1.4.3.2 PolInSAR for Random Volume Scattering -- 1.4.3.3 PolInSAR Two-Layer Combined Surface and Random Volume Scattering -- 1.5 Polarimetric SAR Tomography -- 1.5.1 TomoSAR and PolTomoSAR as Spectral Estimation Problems: Non-model-Based Adaptive Solutions -- 1.5.2 Model-Based PolTomoSAR -- 1.5.3 Coherence Tomography -- References -- 2: Forest Applications -- 2.1 Introduction -- 2.2 Forest Classification -- 2.2.1 Land Cover Classification in Tropical Lands Using PolSAR -- 2.2.1.1 Introduction, Motivation and Literature Review -- 2.2.1.2 Methodology -- 2.2.1.3 Experimental Results -- 2.2.1.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.2.2 Forest Mapping and Classification Using Polarimetric and Interferometric Data -- 2.2.2.1 Introduction, Motivation and Literature Review -- 2.2.2.2 Methodology -- 2.2.2.3 Experimental Results -- 2.2.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.2.3 Detection of Fire Scars -- 2.2.3.1 Introduction, Motivation and Literature Review -- 2.2.3.2 Methodology -- 2.2.3.3 Experimental Results -- 2.2.3.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.3 Forest Height Estimation -- 2.3.1 Introduction, Motivation and Literature Review -- 2.3.2 Methodology -- 2.3.2.1 Random-Volume-Over-Ground Inversion -- 2.3.2.2 Non-volumetric Decorrelation Contributions -- 2.3.3 Experimental Results -- 2.3.4 Comparison with Single/Dual Polarimetric Data -- 2.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions. 2.4 Forest Vertical Structure Estimation Using Multi-baseline Polarimetric SAR Acquisitions -- 2.4.1 Polarimetric SAR Tomography -- 2.4.1.1 Introduction, Motivation and Literature Review -- 2.4.1.2 Methodology -- 2.4.1.3 Experimental Results -- 2.4.1.4 Comparison with Single/Dual Polarization Data -- 2.4.1.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.4.2 Estimation of Vegetation Structure Parameters -- 2.4.2.1 Introduction, Motivation and Literature Review -- 2.4.2.2 Methodology -- 2.4.2.3 Experimental Results -- 2.4.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.5 Biomass Estimation -- 2.5.1 Biomass Estimation: A Review -- 2.5.1.1 Introduction, Motivation -- 2.5.1.2 Methodology -- 2.5.1.2.1 Direct Biomass Estimation -- 2.5.1.2.2 Model-Based Estimation -- 2.5.1.2.3 Allometric Biomass Estimation -- 2.5.1.3 Experimental Results -- 2.5.1.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.5.2 Biomass Estimation from Semi-empirical Relationships -- 2.5.2.1 Introduction, Motivation and Literature Review -- 2.5.2.2 Methodology -- 2.5.2.3 Experimental Results -- 2.5.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.6 Summary -- References -- 3: Agriculture and Wetland Applications -- 3.1 Introduction -- 3.2 Crop Type Mapping -- 3.2.1 Evaluation of C-Band Polarimetric SAR for Crop Classification -- 3.2.1.1 Introduction, Motivation and Literature Review -- 3.2.1.2 Methodology -- 3.2.1.3 Experimental Results -- 3.2.1.4 Comparison with Single-/Dual-Polarisation Data -- 3.2.1.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.2.2 Crop Classification Using Multitemporal L- and C-Band Airborne Polarimetric SAR. 3.2.2.1 Introduction, Motivation and Literature Review -- 3.2.2.2 Methodology -- 3.2.2.3 Experimental Results -- 3.2.2.4 Comparison with Single-/Dual-Polarisation Data -- 3.2.2.5 Discussion on the Role of Polarimetry on the Maturity of the Application and Conclusions -- 3.3 Soil Moisture Estimation Under Vegetation Using SAR Polarimetry -- 3.3.1 Introduction, Motivation and Literature Review -- 3.3.2 Methodology -- 3.3.3 Experimental Results -- 3.3.4 Comparison with Single-/Dual-Pol Data -- 3.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusion -- 3.4 Crop Phenology Estimation Using SAR Polarimetry -- 3.4.1 Introduction, Motivation and Literature Review -- 3.4.2 Methodology -- 3.4.3 Experimental Results -- 3.4.3.1 Analysis -- 3.4.3.1.1 Cereals -- 3.4.3.1.2 Canola -- 3.4.3.1.3 Field Pea -- 3.4.3.2 Retrieval Algorithms -- 3.4.3.3 Results and Validation -- 3.4.3.3.1 Wheat -- 3.4.3.3.2 Oat -- 3.4.3.3.3 Barley -- 3.4.4 Comparison with Single-/Dual-Polarisation Data -- 3.4.5 Discussion on Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.5 Wetland Observation -- 3.5.1 C-Band Polarimetric Time Series for Delineating and Monitoring Seasonal Dynamics of Wetlands -- 3.5.1.1 Introduction, Motivation and Literature Review -- 3.5.1.2 Methodology -- 3.5.1.3 Experimental Results -- 3.5.1.4 Comparison with Single-/Dual-Polarisation Data -- 3.5.1.5 Discussion on the Role of Polarisation, on the Maturity of the Application and Conclusions -- 3.5.2 Tropical Wetland Characterisation with Polarimetric SAR -- 3.5.2.1 Introduction, Motivation and Literature Review -- 3.5.2.2 Methodology -- 3.5.2.3 Experimental Results -- 3.5.2.4 Comparison with Single-/Dual-Polarisation Data -- 3.5.2.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions. 3.5.3 Subarctic Peatland Characterisation and Monitoring -- 3.5.3.1 Introduction, Motivation and Literature Review -- 3.5.3.2 Experimental Results -- 3.5.3.2.1 La Baie des Mines -- Peatland Hydrology Characteristics for Bog-Fen Discrimination -- Application of the Touzi Decomposition to Polarimetric ALOS Data: Required Processing Window Size for Unbiased ICTD -- Analysis of the ALOS Acquisitions -- Peatland Subsurface Water Flow Monitoring Using Polarimetric May and November ALOS Acquisitions: Multi-polarisation Versus Pol... -- 3.5.3.2.2 Wapusk National Park -- 3.5.3.3 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.5.3.4 Acknowledgement -- 3.6 Monitoring Change Detection Produced by Tsunamis and Earthquakes by Using a Fully Polarimetric Model-Based Decomposition -- 3.6.1 Introduction, Motivation and Literature Review -- 3.6.2 Methodology -- 3.6.3 Experimental Results -- 3.6.4 Comparison with Single-/Dual-Polarisation Data -- 3.6.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.7 Summary (Table 3.13) -- References -- 4: Cryosphere Applications -- 4.1 Introduction -- 4.2 Land Ice Extinction Estimation Using PolInSAR -- 4.2.1 Introduction, Motivation, and Literature Review -- 4.2.2 Methodology -- 4.2.3 Experimental Results -- 4.2.4 Comparison with Single/Dual Polarisation Data -- 4.2.5 Discussion on the Role of Polarimetry, on the Maturity of the Application, and Conclusions -- 4.3 Snow Water Equivalent Retrieval -- 4.3.1 Introduction, Motivation, and Literature Review -- 4.3.2 Methodology -- 4.3.2.1 Polarimetric Decomposition for Snow-Covered Areas -- 4.3.2.2 Snow Water Equivalent Retrieval Algorithm -- 4.3.3 Experimental Results -- 4.3.4 Comparison with Single/Dual Polarisation Data. 4.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions. |
| Record Nr. | UNINA-9910473456003321 |
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Hajnsek Irena
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sentiers de suivi de la croissance, de la mortalité et de la phénologie des arbres tropicaux. Guide méthodologique
| Sentiers de suivi de la croissance, de la mortalité et de la phénologie des arbres tropicaux. Guide méthodologique |
| Autore | Levicek Carolina |
| Pubbl/distr/stampa | Gembloux, : Uliège Library, 2020 |
| Descrizione fisica | 1 electronic resource (119 p.) |
| Soggetto topico |
Tropical agriculture: practice & techniques
Forestry & silviculture: practice & techniques |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Record Nr. | UNINA-9910427557803321 |
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Levicek Carolina
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| Gembloux, : Uliège Library, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wildland Fire Smoke in the United States : A Scientific Assessment
| Wildland Fire Smoke in the United States : A Scientific Assessment |
| Autore | Peterson David L |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (346 pages) |
| Altri autori (Persone) |
McCaffreySarah M
Patel-WeynandToral |
| Soggetto topico |
Natural disasters
Ecological science, the Biosphere Forestry & silviculture: practice & techniques Pollution & threats to the environment Life sciences: general issues Mathematics & science |
| Soggetto non controllato |
Wildland Fire and Smoke
Global Warming and Climate Change Smoke Plumes Fire related Physical, Chemical and Biological Issues Smoke and Fire Management Smoke Impacts from Wild and Planned Fires |
| ISBN | 3-030-87045-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Acknowledgments -- Disclaimer -- Contents -- 1 Assessing the State of Smoke Science -- 1.1 Recent Trends -- 1.2 Environmental and Social Context -- 1.3 Overview of This Assessment -- References -- 2 Fuels and Consumption -- 2.1 Introduction -- 2.1.1 Understanding How Fuels Contribute to Smoke -- 2.2 Wildland Fuels -- 2.2.1 Fuel Characteristics -- 2.2.2 Traditional Methods to Estimate Wildland Fuel Loadings -- 2.2.3 Emerging Technologies and Methods -- 2.3 Fuel Consumption -- 2.3.1 Indirect Estimates of Fuel Consumption -- 2.3.2 Direct Measures of Fuel Consumption -- 2.4 Gaps in Wildland Fuels Characterization -- 2.4.1 Scaling from Fine-Scale to Coarse-Scale Fuel Characterization -- 2.4.2 Challenges in Forest Floor Characterization -- 2.4.3 Modeling Spatial and Temporal Dynamics of Wildland Fuels -- 2.5 Vision for Improving Fuel Science in Support of Smoke Science -- 2.6 Science Delivery to Managers -- 2.7 Research Needs -- 2.8 Conclusions -- References -- 3 Fire Behavior and Heat Release as Source Conditions for Smoke Modeling -- 3.1 Introduction -- 3.2 Current State of Science -- 3.2.1 Representing Fire in Smoke Models -- 3.2.2 Remote Sensing -- 3.2.3 Effects of Management Actions -- 3.3 Gaps in Understanding the Link Between Fire Behavior and Plume Dynamics -- 3.3.1 Heat Release -- 3.3.2 Fire Spread -- 3.3.3 Plume Cores -- 3.4 Vision for Improving Smoke Science -- 3.5 Emerging Issues and Challenges -- 3.5.1 Magnitude of Fire and Smoke Impacts -- 3.5.2 Managing Fuels to Minimize Air Quality Impacts -- 3.5.3 Need for Dispersion Climatologies -- 3.5.4 When and Where is Coupled Fire-Atmosphere Modeling Needed? -- 3.6 Conclusions -- 3.7 Key Findings -- 3.8 Key Information Needs -- References -- 4 Smoke Plume Dynamics -- 4.1 Introduction -- 4.1.1 Scientific Significance -- 4.1.2 Management Significance.
4.2 Current State of Science -- 4.2.1 Theoretical Framework -- 4.2.2 Smoke Measurements -- 4.2.3 Smoke Plume Modeling -- 4.2.4 Interactive Processes -- 4.2.5 Smoke Decision Support Systems -- 4.3 Gaps in Understanding Plume Dynamics -- 4.3.1 Measurements -- 4.3.2 Plume Rise -- 4.3.3 Dispersion and Transport Modeling -- 4.3.4 Nighttime Smoke -- 4.3.5 Physics-Based Fire Models -- 4.3.6 Smoke Management for Prescribed Fires -- 4.4 Vision for Improving Plume Dynamics Science -- 4.4.1 New Research on Observational and Computational Capabilities -- 4.4.2 New Approaches and Tools -- 4.4.3 New Projects -- 4.4.4 Recent Policies and Integration with Smoke Impacts Research -- 4.5 Emerging Issues and Challenges -- 4.5.1 Coupled Modeling Systems -- 4.5.2 Improving Modeling Tools with Field Campaign Data -- 4.5.3 Real-Time Smoke Transport Modeling and Prediction -- 4.5.4 Smoke from Duff Burning Under Drought Conditions -- 4.5.5 Smoke Plume Dynamics and Climate Change -- 4.5.6 Smoke Dynamics in the Earth System -- 4.6 Conclusions -- 4.7 Key Findings -- References -- 5 Emissions -- 5.1 Introduction -- 5.2 Current State of the Science -- 5.2.1 Fuel Properties, Combustion Processes, and Emissions -- 5.2.2 Smoke Composition and Emission Factors -- 5.2.3 Emission Calculations -- 5.3 Existing Data, Tools, Models, and Other Technology -- 5.3.1 Emission Factors -- 5.3.2 Emission Inventories -- 5.3.3 Emission Models for Land Management -- 5.4 Gaps in Data, Understanding, and Tools/Technology -- 5.4.1 Emission Factors for Wildfires -- 5.4.2 Connecting Laboratory Studies with Field Observations -- 5.4.3 Variability of EFs with Combustion Conditions -- 5.4.4 Validation of Emission Inventories -- 5.4.5 Forecasting Wildfire Emissions -- 5.4.6 Measuring and Modeling PM2.5 -- 5.4.7 Emissions of Hazardous Air Pollutants -- 5.4.8 Emissions from Structure Fires -- 5.5 Conclusions. References -- 6 Smoke Chemistry -- 6.1 Introduction -- 6.1.1 Overview and Context of the Issues -- 6.1.2 Need for Decision Support -- 6.1.3 Scientific Challenges -- 6.2 Current State of the Science -- 6.2.1 Well-Understood Aspects of Smoke Chemistry -- 6.2.2 Existing Data, Tools, Models, and Other Technology -- 6.3 Gaps in Data, Understanding, and Tools/Technology -- 6.3.1 Ozone Data Gaps -- 6.3.2 Secondary Organic Aerosol Data Gaps -- 6.3.3 Model Gaps -- 6.4 Vision for Improving Our Understanding of Smoke Chemistry -- 6.4.1 Near-Term Opportunities -- 6.4.2 Long-Term Priorities for Improving Smoke Chemistry Knowledge -- 6.5 Emerging Issues -- 6.5.1 Higher Particulate Matter, Ozone, and Hazardous Air Pollutants from Fires in Western States -- 6.5.2 How Prescribed Burning Affects Smoke Chemistry -- 6.5.3 Clarifying Specific Health Effects -- 6.6 Links with Other Components of the Smoke Assessment -- 6.6.1 Fire Behavior and Plume Dynamics -- 6.6.2 Fuel Characterization -- 6.6.3 Smoke Emissions -- 6.6.4 Effects on People, Health, Transportation, and Commerce -- 6.7 Conclusions -- 6.7.1 Key Research Needs and Priorities -- 6.7.2 Opportunities for Shared Stewardship to Improve Smoke Science and Management -- References -- 7 Social Considerations: Health, Economics, and Risk Communication -- 7.1 Introduction -- 7.2 Health Effects Attributed to Wildland Fire Smoke -- 7.2.1 Wildland Fire Smoke Exposure -- 7.2.2 Epidemiologic Evidence-Wildfire Smoke and PM2.5 -- 7.2.3 Other Smoke Pollutants Associated with Health Risks -- 7.2.4 Occupational/Cumulative and Chronic Exposures -- 7.3 Economic Costs and Losses from Smoke -- 7.3.1 Theoretical Costs and Losses -- 7.3.2 Health Costs and Losses -- 7.3.3 Evacuation as an Averting Behavior -- 7.3.4 Displaced Recreation and Tourism -- 7.4 Social Acceptance and Risk Communication -- 7.4.1 Social Acceptability. 7.4.2 Risk Communication -- 7.5 Key Findings -- 7.6 Key Information Needs -- 7.6.1 Understudied Health Effects -- 7.6.2 Health Benefits and Trade-Offs of Public Health Interventions -- 7.6.3 Economic Impacts -- 7.6.4 Central Repository of Standards and Actions -- 7.7 Conclusions -- References -- 8 Resource Manager Perspectives on the Need for Smoke Science -- 8.1 Introduction -- 8.2 Managing Wildland Fire to Improve Ecosystem Conditions While Minimizing Smoke Impacts -- 8.2.1 Smoke Concerns and Barriers to Prescribed Fire -- 8.2.2 Applying Prescribed Fire Across Large Landscapes -- 8.2.3 Utilizing Wildfires and Natural Ignitions -- 8.2.4 Implications of Wildfire Response Actions and Suppression for Air Quality -- 8.2.5 Alternatives to Burning-Evaluating Emissions Reduction -- 8.2.6 Effects of Fuel Moisture on Emissions and Dispersion -- 8.2.7 Fuel Type, Fuel Loading, and Fuel Consumption -- 8.2.8 Techniques for Minimizing Smoke Impacts -- 8.2.9 Components of Wildland Fire Smoke -- 8.2.10 Soils and Emissions -- 8.2.11 Remote Sensing and Data for Fuels, Fire, and Smoke -- 8.2.12 Prescribed Fire Tracking Data -- 8.2.13 Fire Emissions and the National Emissions Inventory -- 8.3 Wildland Fire and Smoke Decision Tools -- 8.3.1 Multiple Fires and Airshed Analysis -- 8.3.2 Fire Growth Models and Smoke Dispersion -- 8.3.3 Background Air Quality Conditions -- 8.3.4 Smoke Models for Fire Planning -- 8.3.5 Use of Air Quality Measurements -- 8.3.6 Air Quality Impacts of Prescribed Fire Versus Wildfire -- 8.3.7 Smoke Model Performance and Accuracy -- 8.3.8 Long-Range Forecasts and Projections for Planning and Early Warning -- 8.3.9 Tools and Data Needs for the Future -- 8.3.10 Identifying Areas at High Risk from Wildfire and Smoke -- 8.4 Health, Safety, and Societal Impacts of Smoke -- 8.4.1 What is a Smoke-Affected Day?. 8.4.2 Effects of Smoke Exposure on Human Health for Different Exposure Scenarios -- 8.4.3 Health Effects of Constituents of Smoke Beyond Particulate Matter -- 8.4.4 Smoke and Mental Health -- 8.4.5 Smoke and Visibility Reduction on Roadways -- 8.4.6 Visibility Conditions in Class I Areas -- 8.5 Outreach and Messaging About Smoke -- 8.5.1 Smoke Ready Interventions -- 8.5.2 Air Quality Conditions and Advisories -- 8.5.3 National Weather Service -- 8.5.4 Interagency Wildland Fire Air Quality Response Program and Air Resource Advisors -- 8.6 Transfer of Smoke and Air Quality Science and Tools to Managers -- 8.6.1 Formal Fire and Smoke Training Opportunities -- 8.6.2 Informal Training and Collaboration Opportunities -- 8.6.3 Websites, Webinars, Etc. -- 8.6.4 Learning Pathways -- 8.6.5 Maintaining Contact -- 8.7 Managing Smoke in a Changing Environment -- References -- Appendix A Regional Perspectives on Smoke Issues and Management -- Alaska Region -- Ecological and Social Context -- Prescribed Fire and Smoke -- Smoke Research Needs and Scientific Efforts Applicable to the Region -- Eastern Region -- Ecological and Social Context -- Prescribed Fire and Smoke -- Smoke Research Needs and Scientific Efforts Applicable to the Region -- Intermountain Region -- Ecological and Social Context -- Prescribed Fire and Smoke -- Smoke Research Needs and Scientific Efforts Applicable to the Region -- Northern Region -- Ecological and Social Context -- Prescribed Fire and Smoke -- Smoke Research Needs and Current Efforts Applicable to the Region -- Pacific Northwest Region -- Ecological and Social Context -- Prescribed Fire and Smoke -- Smoke Research Needs and Scientific Efforts Applicable to the Region -- Pacific Southwest Region -- Ecological and Social Context -- Prescribed Fire and Smoke -- Smoke Research Needs and Scientific Efforts Applicable to the Region. Rocky Mountain Region. |
| Record Nr. | UNINA-9910586597703321 |
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Peterson David L
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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