Modelling Trees

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Modeling Forest Trees and Stands

Author : Harold E. Burkhart,Margarida Tomé
Publisher : Springer Science & Business Media
Page : 463 pages
File Size : 48,6 Mb
Release : 2012-04-27
Category : Technology & Engineering
ISBN : 9789048131709

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Modeling Forest Trees and Stands by Harold E. Burkhart,Margarida Tomé Pdf

Drawing upon a wealth of past research and results, this book provides a comprehensive summary of state-of-the-art methods for empirical modeling of forest trees and stands. It opens by describing methods for quantifying individual trees, progresses to a thorough coverage of whole-stand, size-class and individual-tree approaches for modeling forest stand dynamics, growth and yield, moves on to methods for incorporating response to silvicultural treatments and wood quality characteristics in forest growth and yield models, and concludes with a discussion on evaluating and implementing growth and yield models. Ideal for use in graduate-level forestry courses, this book also provides ready access to a plethora of reference material for researchers working in growth and yield modeling.

Modelling Trees

Author : Gordon Gravett
Publisher : Unknown
Page : 128 pages
File Size : 44,6 Mb
Release : 2011
Category : Railroads
ISBN : 1905184883

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Modelling Trees by Gordon Gravett Pdf

Image-based Modeling of Plants and Trees

Author : Sing Bing Kang,Long Quan
Publisher : Morgan & Claypool Publishers
Page : 73 pages
File Size : 42,7 Mb
Release : 2010
Category : Computers
ISBN : 9781608452446

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Image-based Modeling of Plants and Trees by Sing Bing Kang,Long Quan Pdf

Plants and trees are among the most complex natural objects. Much work has been done attempting to model them, with varying degrees of success. In this book, we review the various approaches in computer graphics, which we categorize as rule-based, image-based, and sketch-based methods. We describe our approaches for modeling plants and trees using images. Image-based approaches have the distinct advantage that the resulting model inherits the realistic shape and complexity of a real plant or tree. We use different techniques for modeling plants (with relatively large leaves) and trees (with relatively small leaves).With plants, we model each leaf from images, while for trees, the leaves are only approximated due to their small size and large number. Both techniques start with the same initial step of structure from motion on multiple images of the plant or tree that is to be modeled. For our plant modeling system, because we need to model the individual leaves, these leaves need to be segmented out from the images. We designed our plant modeling system to be interactive, automating the process of shape recovery while relying on the user to provide simple hints on segmentation. Segmentation is performed in both image and 3D spaces, allowing the user to easily visualize its effect immediately. Using the segmented image and 3D data, the geometry of each leaf is then automatically recovered from the multiple views by fitting a deformable leaf model. Our system also allows the user to easily reconstruct branches in a similar manner. To model trees, because of the large leaf count, small image footprint, and widespread occlusions, we do not model the leaves exactly as we do for plants. Instead, we populate the tree with leaf replicas from segmented source images to reconstruct the overall tree shape. In addition, we use the shape patterns of visible branches to predict those of obscured branches. As a result, we are able to design our tree modeling system so as to minimize user intervention. We also handle the special case of modeling a tree from only a single image. Here, the user is required to draw strokes on the image to indicate the tree crown (so that the leaf region is approximately known) and to refine the recovery of branches. As before, we concatenate the shape patterns from a library to generate the 3D shape. To substantiate the effectiveness of our systems, we show realistic reconstructions of a variety of plants and trees from images. Finally, we offer our thoughts on improving our systems and on the remaining challenges associated with plant and tree modeling. Table of Contents: Introduction / Review of Plant and Tree Modeling Techniques / Image-Based Technique for Modeling Plants / Image-Based Technique for Modeling Trees / Single Image Tree Modeling / Summary and Concluding Remarks / Acknowledgments

Modelling Forest Development

Author : Klaus von Gadow,Gangying Hui
Publisher : Springer Science & Business Media
Page : 222 pages
File Size : 55,7 Mb
Release : 2013-12-01
Category : Technology & Engineering
ISBN : 9789401148160

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Modelling Forest Development by Klaus von Gadow,Gangying Hui Pdf

In an lUlffianaged woodland, forest development follows a succession of periods of undisturbed natural growth, interrupted by intermediate loss or damage of trees caused by fire or wind or other natural hazards. In a managed woodland, the most important periodic disturbances are the thinning operations, which are often carried out at regular intervals and which usually have a significant effect on the future evolution of the resource. Thus, a realistic model of forest development includes both natural growth and thinnings. The key to successful timber management is a proper understanding of growth processes, and one of the objectives of modelling forest development is to provide the tools that enable foresters to compare alternative silvicultural treatments. Foresters need to be able to anticipate the consequences of a particular thinning operation. In most cases, total timber volume is not a very appropriate measure for quantifying growth or yields, or changes caused by thinning operations. Yield in economic terms is defined by the dimensions and quality attributes of the harvestable logs, and estimating timber products is a central issue of production-oriented growth and yield research. Introduction 2 Growth modelling is also an essential prerequisite for evaluating the consequences of a particular management action on the future development of an important natural resource, such as a woodland ecosystem.

Modelling Forest Systems

Author : A. Amaro,D. Reed,P. Soares
Publisher : CABI
Page : 426 pages
File Size : 54,6 Mb
Release : 2003-01-01
Category : Science
ISBN : 0851998739

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Modelling Forest Systems by A. Amaro,D. Reed,P. Soares Pdf

There are many theoretical approaches to modelling forest systems, but not all of them have valid practical applications. This book reviews current thinking on various models and presents applications in various contexts. Papers have been selected and developed from those presented at aworkshop held in Portugal in June 2002. Topics covered include: Forest reality and modelling strategies Mathematical approaches and reasoning Estimation processes Models, validation and decision under uncertainty Model archives and metadata

Forest Growth and Yield Modeling

Author : Aaron R. Weiskittel,David W. Hann,John A. Kershaw, Jr.,Jerome K. Vanclay
Publisher : John Wiley & Sons
Page : 431 pages
File Size : 49,5 Mb
Release : 2011-07-15
Category : Science
ISBN : 9781119971504

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Forest Growth and Yield Modeling by Aaron R. Weiskittel,David W. Hann,John A. Kershaw, Jr.,Jerome K. Vanclay Pdf

Forest Growth and Yield Modeling synthesizes current scientific literature and provides insights in how models are constructed. Giving suggestions for future developments, and outlining keys for successful implementation of models the book provides a thorough and up-to-date, single source reference for students, researchers and practitioners requiring a current digest of research and methods in the field. The book describes current modelling approaches for predicting forest growth and yield and explores the components that comprise the various modelling approaches. It provides the reader with the tools for evaluating and calibrating growth and yield models and outlines the steps necessary for developing a forest growth and yield model. Single source reference providing an evaluation and synthesis of current scientific literature Detailed descriptions of example models Covers statistical techniques used in forest model construction Accessible, reader-friendly style

Modelling Trees

Author : Gordon Gravett
Publisher : Unknown
Page : 128 pages
File Size : 48,8 Mb
Release : 2011
Category : Railroads
ISBN : 1905184883

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Modelling Trees by Gordon Gravett Pdf

Boreal and Temperate Trees in a Changing Climate

Author : Heikki Hänninen
Publisher : Springer
Page : 342 pages
File Size : 47,8 Mb
Release : 2016-04-27
Category : Science
ISBN : 9789401775496

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Boreal and Temperate Trees in a Changing Climate by Heikki Hänninen Pdf

This book provides an overview of how boreal and temperate tree species have adapted their annual development cycle to the seasonally varying climatic conditions. Therefore, the frost hardy dormant phase, and the susceptible growth phase, are synchronized with the seasonality of the climate. The volume discusses the annual cycle, including various attributes such as timing of bud burst and other phenological events, seasonality of photosynthetic capacity or the frost hardiness of the trees. During the last few decades dynamic ecophysiological models have been used increasingly in studies of the annual cycle, particularly when projecting the ecological effects of climate change. The main emphasis of this volume is on combining modelling with experimental studies, and on the importance of the biological realism of the models.

Models of Tree and Stand Dynamics

Author : Annikki Mäkelä,Harry T. Valentine
Publisher : Springer Nature
Page : 320 pages
File Size : 55,8 Mb
Release : 2020-03-17
Category : Science
ISBN : 9783030357610

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Models of Tree and Stand Dynamics by Annikki Mäkelä,Harry T. Valentine Pdf

The book is designed to be a textbook for university students (MSc-PhD level) and a reference for researchers and practitioners. It is an introduction to dynamic modelling of forest growth based on ecological theory but aiming for practical applications for forest management under environmental change. It is largely based on the work and research findings of the authors, but it also covers a wide range of literature relevant to process-based forest modelling in general. The models presented in the book also serve as tools for research and can be elaborated further as new research findings emerge. The material in the book is arranged such that the student starts from basic concepts and formulations, then moves towards more advanced theories and methods, finally learning about parameter estimation, model testing, and practical application. Exercises with solutions and hands-on R-code are provided to help the student digest the concepts and become proficient with the methods. The book should be useful for both forest ecologists who want to become modellers, and for applied mathematicians who want to learn about forest ecology. The basic concepts and theory are formulated in the first four chapters, including a review of traditional descriptive forest models, basic concepts of carbon balance modelling applied to trees, and theories and models of tree and forest structure. Chapter 5 provides a synthesis in the form of a core model which is further elaborated and applied in the subsequent chapters. The more advanced theories and methods in Chapters 6 and 7 comprise aspects of competition through tree interactions, and eco-evolutionary modelling, including optimisation and game theory, a topical and fast developing area of ecological modelling under climate change. Chapters 8 and 9 are devoted to parameter estimation and model calibration, showing how empirical and process-based methods and related data sources can be bridged to provide reliable predictions. Chapter 10 demonstrates some practical applications and possible future development paths of the approach. The approach in this book is unique in that the models presented are based on ecological theory and research findings, yet sufficiently simple in structure to lend themselves readily to practical application, such as regional estimates of harvest potential, or satellite-based monitoring of growth. The applicability is also related to the objective of bridging empirical and process-based approaches through data assimilation methods that combine research-based ecological measurements with standard forestry data. Importantly, the ecological basis means that it is possible to build on the existing models to advance the approach as new research findings become available.

Image-Based Modeling of Plants and Trees

Author : Sing Bang Kang,Long Quan
Publisher : Springer Nature
Page : 74 pages
File Size : 46,5 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031018084

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Image-Based Modeling of Plants and Trees by Sing Bang Kang,Long Quan Pdf

Plants and trees are among the most complex natural objects. Much work has been done attempting to model them, with varying degrees of success. In this book, we review the various approaches in computer graphics, which we categorize as rule-based, image-based, and sketch-based methods. We describe our approaches for modeling plants and trees using images. Image-based approaches have the distinct advantage that the resulting model inherits the realistic shape and complexity of a real plant or tree. We use different techniques for modeling plants (with relatively large leaves) and trees (with relatively small leaves).With plants, we model each leaf from images, while for trees, the leaves are only approximated due to their small size and large number. Both techniques start with the same initial step of structure from motion on multiple images of the plant or tree that is to be modeled. For our plant modeling system, because we need to model the individual leaves, these leaves need to be segmented out from the images. We designed our plant modeling system to be interactive, automating the process of shape recovery while relying on the user to provide simple hints on segmentation. Segmentation is performed in both image and 3D spaces, allowing the user to easily visualize its effect immediately. Using the segmented image and 3D data, the geometry of each leaf is then automatically recovered from the multiple views by fitting a deformable leaf model. Our system also allows the user to easily reconstruct branches in a similar manner. To model trees, because of the large leaf count, small image footprint, and widespread occlusions, we do not model the leaves exactly as we do for plants. Instead, we populate the tree with leaf replicas from segmented source images to reconstruct the overall tree shape. In addition, we use the shape patterns of visible branches to predict those of obscured branches. As a result, we are able to design our tree modeling system so as to minimize user intervention. We also handle the special case of modeling a tree from only a single image. Here, the user is required to draw strokes on the image to indicate the tree crown (so that the leaf region is approximately known) and to refine the recovery of branches. As before, we concatenate the shape patterns from a library to generate the 3D shape. To substantiate the effectiveness of our systems, we show realistic reconstructions of a variety of plants and trees from images. Finally, we offer our thoughts on improving our systems and on the remaining challenges associated with plant and tree modeling. Table of Contents: Introduction / Review of Plant and Tree Modeling Techniques / Image-Based Technique for Modeling Plants / Image-Based Technique for Modeling Trees / Single Image Tree Modeling / Summary and Concluding Remarks / Acknowledgments

Modeling the Growth of Trees

Author : Clifford Elyman Murphy,John D. Hesketh,Boyd Ray Strain,B. R. Strain
Publisher : Unknown
Page : 210 pages
File Size : 45,9 Mb
Release : 1972
Category : Forest ecology
ISBN : ERDC:35925002268347

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Modeling the Growth of Trees by Clifford Elyman Murphy,John D. Hesketh,Boyd Ray Strain,B. R. Strain Pdf

Modelling Railway Scenery Volume 2

Author : Anthony A Reeves
Publisher : Crowood
Page : 492 pages
File Size : 46,5 Mb
Release : 2015-04-30
Category : Crafts & Hobbies
ISBN : 9781847979445

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Modelling Railway Scenery Volume 2 by Anthony A Reeves Pdf

Whether you are just about to embark on your scenic modelling journey, or want to re-work an existing layout, this clearly written volume will be invaluable. The author guides you through the process of collecting field-trip information, both written and photographic, and then demonstrates, using step-by-step instructions, how the colours, textures and features depicted in the reference photographs can be replicated to create a wonderful model landscape. The author describes in detail the modelling techniques he employs to create long and short grass, crop, fallow and freshly ploughed fields, trimmed hedges, mature hedgerows, hedgerow trees, broadland trees in summer, Scots pine trees, silver birch, autumn and winter trees, as well as dead and fallen trees and trees in half relief. Finally, he brings together all the features that have been covered in the book and describes the building of a scale model representation of the field trip photographs in the form of a 3 x 2 ft diorama. Aimed at all those railway modellers who wish to create attractive, realistic scenery for their layouts, brimming with advice and tips and with over four hundred inspirational reference colour images and colour instructional photographs. A sister volume to Modelling Railway Scenery Volume 1 - Cuttings, Hills, Mountains, Streams and Lakes (Crowood 2013).

Interpretable Machine Learning

Author : Christoph Molnar
Publisher : Lulu.com
Page : 320 pages
File Size : 41,7 Mb
Release : 2020
Category : Artificial intelligence
ISBN : 9780244768522

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Interpretable Machine Learning by Christoph Molnar Pdf

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

The Politics of Street Trees

Author : Jan Woudstra,Camilla Allen
Publisher : Routledge
Page : 432 pages
File Size : 44,9 Mb
Release : 2022-03-18
Category : Architecture
ISBN : 9781000556490

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The Politics of Street Trees by Jan Woudstra,Camilla Allen Pdf

This book focuses on the politics of street trees and the institutions, actors and processes that govern their planning, planting and maintenance. This is an innovative approach which is particularly important in the context of mounting environmental and societal challenges and reveals a huge amount about the nature of modern life, social change and political conflict. The work first provides different historical perspectives on street trees and politics, celebrating diversity in different cultures. A second section discusses street tree values, policy and management, addressing more contemporary issues of their significance and contribution to our environment, both physically and philosophically. It explores cultural idiosyncrasies and those from the point of view of political economy, particularly challenging the neo-liberal perspectives that continue to dominate political narratives. The final section provides case studies of community engagement, civil action and governance. International case studies bring together contrasting approaches in areas with diverging political directions or intentions, the constraints of laws and the importance of people power. By pursuing an interdisciplinary approach this book produces an information base for academics, practitioners, politicians and activists alike, thus contributing to a fairer political debate that helps to promote more democratic environments that are sustainable, equitable, comfortable and healthier.