Creating the future school / / Hedley Beare

• Record Nr.: UNINA9910783618503321
• Autore: Beare Hedley <1932-2010., >
• Pubbl/distr/stampa: London ; ; New York : , : RoutledgeFalmer, , 2001
• ISBN: 1-134-55562-8; 1-134-55563-6; 0-203-16999-9; 0-203-13207-6; 1-280-40119-2; 9786610401192
• Descrizione fisica: 1 online resource (223 p.)
• Collana: Student outcomes and the reform of education
• Disciplina: 370/.1/12
• Soggetti: Education - Forecasting; Educational change
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; Creating the Feture School; Copyright; Contents; Figures; Acknowledgements; 1. The myth of the unchanging School; Part I: The big picture; 2. From an old world-view to a new; 3. From a Society of factories to a Society of Knowledge workers; 4. New way of Knowing; 5. The networked universe; 6. From bureaucracy to enterprise networks; Part II: Looking at the practicalities; 7. Schools which break the mould; 8. Choosing what future to have; 9. Building a manifesto for the school as a provider; 10. On reporting outcomes; 11. Reworking the curriculum within a new mindset; 12. Teachers for the school of the future13. A new kind of school; Bibliography; Index
• Sommario/riassunto: This fascinating book is based on the changes to schooling that a five year-old, Angelica will see in her lifetime. It is divided into two parts: the first describes how schools are viewed by society; the second considers practical responses that schools can make to keep up with change. Creating the Future School predicts that the career of teaching will change and the work of the professional educator will differ significantly from what has been the traditional teaching role in schools ; of the twentieth century. The book addresses principals, senior members of school staff, teachers,

Quantitative remote sensing of land surfaces [[electronic resource] /] / Shunlin Liang

• Record Nr.: UNINA9910831060403321
• Autore: Liang Shunlin
• Pubbl/distr/stampa: Hoboken, N.J., : Wiley-Interscience, c2004
• ISBN: 1-280-25291-X; 9786610252916; 0-470-34800-3; 0-471-72371-1; 0-471-72372-X
• Descrizione fisica: 1 online resource (562 p.)
• Collana: Wiley series in remote sensing
• Disciplina: 550.287; 550/.28/7; 624.151
• Soggetti: Earth sciences - Remote sensing; Environmental sciences - Remote sensing; Remote sensing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: QUANTITATIVE REMOTE SENSING OF LAND SURFACES; Contents; Preface; Acronyms; CHAPTER 1 Introduction; 1.1 Quantitative Models in Optical Remote Sensing; 1.2 Basic Concepts; 1.2.1 Digital Numbers; 1.2.2 Radiance; 1.2.3 Solid Angle; 1.2.4 lrradiance; 1.2.5 Bidirectional Reflectances and Albedos; 1.2.6 Extraterrestrial Solar lrradiance; 1.3 Remote Sensing Modeling System; 1.3.1 Scene Generation; 1.3.2 Scene Radiation Modeling; 1.3.3 Atmospheric Radiative Transfer Modeling; 1.3.4 Navigation Modeling; 1.3.5 Sensor Modeling; 1.3.5.1 Spectral Response; 1.3.5.2 Spatial Response; 1.3.6 Mapping and Binning1.4 Summary; References; CHAPTER 2 Atmospheric Shortwave Radiative Transfer Modeling; 2.1 Radiative ; Transfer Equation .; 2.2 Surface Statistical BRDF Models; 2.2.1 Minnaert Function; 2.2.2 Lommel-Seeliger Function; 2.2.3 Walthall Function; 2.2.4 Staylor-Suttles Function; 2.2.5 Rahman Function; 2.2.6 Kernel Functions; 2.3 Atmospheric Optical Properties; 2.3.1 Rayleigh Scattering; 2.3.2 Mie Scattering; 2.3.3 Aerosol Particle Size Distributions; 2.3.4 Gas Absorption; 2.3.5 Aerosol Climatology; 2.4 Solving Radiative Transfer Equations; 2.4.1 Radiation Field Decomposition; 2.4.2 Numerical Solutions2.4.2.1 Method of Successive Orders of Scattering; 2.4.2.2 Method of Discrete Ordinates; 2.4.3 Approximate Solutions: Two-Stream Algorithms; 2.4.4 Representative Radiative Transfer Solvers (Software Packages); 2.5 Approximate Representation for Incorporating Surface BRDF; 2.6 Summary; References; CHAPTER 3 Canopy Reflectance Modeling; 3.1 Canopy Radiative Transfer Formulation; 3.1.1 Canopy Configuration; 3.1.2 One-Dimensional Radiative Transfer Formulation; 3.1.3 Boundary Conditions; 3.1.4 Hotspot Effects; 3.1.5 Formulations for Heterogeneous Canopies; 3.2 Leaf Optical Models3.2.1 "Plate" Models; 3.2.2 Needleleaf Models; 3.2.3 Ray Tracing Models; 3.2.4 Stochastic Models; 3.2.5 Turbid Medium Models; 3.3 Solving Radiative Transfer Equations; 3.3.1 Approximate Solutions; 3.3.1.1 Models Based on KM Theory; 3.3.1.2 Decomposition of the Canopy Radiation Field; 3.3.1.3 Approximation of Multiple Scattering; 3.3.2 Numerical Solutions: Gauss-Seidel Algorithm; 3.4 Geometric Optical Models; 3.5 Computer Simulation Models; 3.5.1 Monte Carlo Ray Tracing Models; 3.5.1.1 Forward and Reverse Ray Tracing; 3.5.1.2 Canopy Scene Generation; 3.5.1.3 A Forest Ray Tracing Algorithm3.5.1.4 Botanical Plant Modeling System Model; 3.5.1.5 SPRINT Model; 3.5.2 Radiosity Models; 3.5.2.1 Generating the 3D Scene; 3.5.2.2 Calculating the Emission for All Surfaces in the Scene; 3.5.2.3 Computing the View Factors; 3.5.2.4 Solving the Radiosity Equation; 3.5.2.5 Rendering the Scene for a Given Viewpoint and Calculating BRF; 3.5.2.6 Applications; 3.6 Summary; References; CHAPTER 4 Soil and Snow Reflectance Modeling; 4.1 Single Scattering Properties of Snow and Soil; 4.1.1 Optical Properties of Snow; 4.1.2 Optical Properties of Soils; 4.2 Multiple Scattering Solutions for Angular Reflectance from Snow and Soil
• Sommario/riassunto: Processing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs is a significant challenge. Filling a gap between the theoretical, physically-based modelling and specific applications, this in-depth study presents practical quantitative algorithms for estimating various land surface variables from remotely sensed observations.A concise review of the basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely sensed observations.Emp