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Author: Faizaan Naveed Publisher: Infinite Study ISBN: Category : Mathematics Languages : en Pages : 21
Book Description
In this study, multispectral Light Detection and Ranging (LiDAR) data were utilized to improve delineation of individual tree crowns (ITC) as an important step in individual tree analysis. A framework to integrate spectral and height information for ITC delineation was proposed, and the multi-scale algorithm for treetop detection developed in one of our previous studies was improved. In addition, an advanced region-based segmentation method that used detected treetops as seeds was proposed for segmentation of individual crowns based on their spectral, contextual, and height information.
Author: Faizaan Naveed Publisher: Infinite Study ISBN: Category : Mathematics Languages : en Pages : 21
Book Description
In this study, multispectral Light Detection and Ranging (LiDAR) data were utilized to improve delineation of individual tree crowns (ITC) as an important step in individual tree analysis. A framework to integrate spectral and height information for ITC delineation was proposed, and the multi-scale algorithm for treetop detection developed in one of our previous studies was improved. In addition, an advanced region-based segmentation method that used detected treetops as seeds was proposed for segmentation of individual crowns based on their spectral, contextual, and height information.
Author: F . Naveed Publisher: Infinite Study ISBN: Category : Languages : en Pages : 6
Book Description
The inability to detect the Emerald Ash Borer (EAB) at an early stage has led to the enumerable loss of different species of ash trees. Due to the increasing risk being posed by the EAB, a robust and accurate method is needed for identifying Individual Tree Crowns (ITCs) that are at a risk of being infected or are already diseased.
Author: Jili Li Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Analysis of individual trees in forests is of great value for the monitoring and sustainable management of forests. For the past decade, remote sensing has been a useful tool for individual tree analysis. However, accuracies of individual tree analysis remain insufficient because of the inadequate spatial resolution of most remote sensing data and unsophisticated methods. The improvement of individual tree analysis becomes feasible because of recent advances in LiDAR (Light Detection And Ranging) and airborne image sensing technologies. However, it is challenging to fully exploit and utilize small-footprint LiDAR data and high spatial resolution imagery for detailed tree analysis. This dissertation presents a number of effective methods on individual tree crown delineation and species classification to improve individual tree analysis with advanced remote sensing data. The individual tree crown delineation is composed of a five-step framework, which is unique in its automated determination of dominant crown sizes in a given forest scene and its determination of the number of trees in a segment based on LiDAR profiles. This framework correctly delineated 74% and 72% of the tree crowns in two plots with mixed-wood and deciduous trees, respectively. The study on individual tree species classification is focused on developing novel LiDAR and image features to characterize tree structures. First of all, coniferous and deciduous trees are classified. Features are extracted from LiDAR data to characterize crown shapes and vertical profiles of individual trees, followed by the C4.5 decision tree classification algorithm. Furthermore, groups of new LiDAR features are developed to characterize the internal structures of a tree. Important features are selected via a genetic algorithm and utilized in the multi-species classification based on linear discriminant analysis. An overall accuracy of 77 .5% is obtained for an investigation on 1, 122 sample trees in natural forests. In addition, statistical features based on gray-level co-occurrence matrix (GLCM) and structural texture-features derived from the local binary pattern (LBP) method are proved to be useful to improve the species classification using high spatial resolution aerial image. The research demonstrates that LiDAR data and high spatial resolution images can be used to effectively characterize tree structures and improve the accuracy and efficiency of individual tree species identification.
Author: Vladimir Cherkassky Publisher: John Wiley & Sons ISBN: 9780470140512 Category : Computers Languages : en Pages : 560
Book Description
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
Author: Donald L. Grebner Publisher: Academic Press ISBN: 0128190760 Category : Technology & Engineering Languages : en Pages : 513
Book Description
Introduction to Forestry and Natural Resources, Second Edition, presents a broad, completely updated overview of the profession of forestry. The book details several key fields within forestry, including forest management, economics, policy, utilization and forestry careers. Chapters deal specifically with forest regions of the world, landowners, forest products, wildlife habitats, tree anatomy and physiology, and forest disturbances and health. These topics are ideal for undergraduate introductory courses and include numerous examples and questions for students to ponder. There is also a section dedicated to forestry careers. Unlike other introductory forestry texts, which focus largely on forest ecology rather than practical forestry concepts, this book encompasses the economic, ecological and social aspects, thus providing a uniquely balanced text. The wide range of experience of the contributing authors equips them especially well to identify missing content from other texts in the area and address topics currently covered in corresponding college courses. Covers the application of forestry and natural resources around the world with a focus on practical applications and graphical examples Describes basic techniques for measuring and evaluating forest resources and natural resources, including fundamental terminology and concepts Includes management policies and their influence at the local, national and international levels
Author: Sara Fabrikant Publisher: Springer ISBN: 9783642091452 Category : Science Languages : en Pages : 0
Book Description
This book presents a state-of-the-art overview of ongoing GIScience research that has been presented at the 10th Conference of the Association of Geographic Information Laboratories for Europe (AGILE), held in Aalborg, Denmark. Included are 27 fully peer-reviewed papers not only covering basic GIScience research themes, but also ongoing research on technological advancements, as well as applied research on environmental modeling and management.
Author: Matti Maltamo Publisher: Springer Science & Business Media ISBN: 9401786631 Category : Technology & Engineering Languages : en Pages : 460
Book Description
Airborne laser scanning (ALS) has emerged as one of the most promising remote sensing technologies to provide data for research and operational applications in a wide range of disciplines related to management of forest ecosystems. This book provides a comprehensive, state-of-the-art review of the research and application of ALS in a broad range of forest-related disciplines, especially forest inventory and forest ecology. However, this book is more than just a collection of individual contributions – it consists of a well-composed blend of chapters dealing with fundamental methodological issues and contributions reviewing and illustrating the use of ALS within various domains of application. The reviews provide a comprehensive and unique overview of recent research and applications that researchers, students and practitioners in forest remote sensing and forest ecosystem assessment should consider as a useful reference text.
Author: Faizaan Naveed
Author: Faizaan Naveed
Author: F . Naveed 
Author: Tao Liu
Author: Jili Li
Author: Vladimir Cherkassky
Author: Donald L. Grebner
Author: Sara Fabrikant
Author: Matti Maltamo
Author: Assunta Saliola
Author: H.P. Pokharel