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Object Based Methods For Individual Tree Identification And Tree Species Classification From High Spatial Resolution Imagery
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Book Synopsis Object-based Methods for Individual Tree Identification and Tree Species Classification from High-spatial Resolution Imagery by : Le Wang (Ph.D.)
Download or read book Object-based Methods for Individual Tree Identification and Tree Species Classification from High-spatial Resolution Imagery written by Le Wang (Ph.D.) and published by . This book was released on 2003 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Individual Tree Delineation and Species Identification in Deciduous and Mixed Canadian Forests Using High Spatial Resolution Airborne LiDAR and Image Data by : Jili Li
Download or read book Individual Tree Delineation and Species Identification in Deciduous and Mixed Canadian Forests Using High Spatial Resolution Airborne LiDAR and Image Data written by Jili Li and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Object-Based Image Analysis by : Thomas Blaschke
Download or read book Object-Based Image Analysis written by Thomas Blaschke and published by Springer Science & Business Media. This book was released on 2008-08-09 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).
Book Synopsis Handbook on Advances in Remote Sensing and Geographic Information Systems by : Margarita N. Favorskaya
Download or read book Handbook on Advances in Remote Sensing and Geographic Information Systems written by Margarita N. Favorskaya and published by Springer. This book was released on 2017-02-24 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in remote-sensing and geographic information systems and applications. It is divided into four parts, focusing on Airborne Light Detection and Ranging (LiDAR) and Optical Measurements of Forests; Individual Tree Modelling; Landscape Scene Modelling; and Forest Eco-system Modelling. Given the scope of its coverage, the book offers a valuable resource for students, researchers, practitioners, and educators interested in remote sensing and geographic information systems and applications.
Book Synopsis High Spatial Resolution Remote Sensing by : Yuhong He
Download or read book High Spatial Resolution Remote Sensing written by Yuhong He and published by CRC Press. This book was released on 2018-06-27 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: High spatial resolution remote sensing is an area of considerable current interest and builds on developments in object-based image analysis, commercial high-resolution satellite sensors, and UAVs. It captures more details through high and very high resolution images (10 to 100 cm/pixel). This unprecedented level of detail offers the potential extraction of a range of multi-resource management information, such as precision farming, invasive and endangered vegetative species delineation, forest gap sizes and distribution, locations of highly valued habitats, or sub-canopy topographic information. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the damage to roads and buildings and aid in emergency planning for contact and evacuation. To effectively utilize information contained in high spatial resolution imagery, High Spatial Resolution Remote Sensing: Data, Analysis, and Applications addresses some key questions: What are the challenges of using new sensors and new platforms? What are the cutting-edge methods for fine-level information extraction from high spatial resolution images? How can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes? The answers are built in three separate parts: (1) data acquisition and preprocessing, (2) algorithms and techniques, and (3) case studies and applications. They discuss the opportunities and challenges of using new sensors and platforms and high spatial resolution remote sensing data and recent developments with a focus on UAVs. This work addresses the issues related to high spatial image processing and introduces cutting-edge methods, summarizes state-of-the-art high spatial resolution applications, and demonstrates how high spatial resolution remote sensing can support the extraction of detailed information needed in different systems. Using various high spatial resolution data, the third part of this book covers a range of unique applications, from grasslands to wetlands, karst areas, and cherry orchard trees.
Book Synopsis Mapping Forest Landscape Patterns by : Tarmo K. Remmel
Download or read book Mapping Forest Landscape Patterns written by Tarmo K. Remmel and published by Springer. This book was released on 2017-09-07 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the concepts, premises, advancements, and challenges in quantifying natural forest landscape patterns through mapping techniques. After several decades of development and use, these tools can now be examined for their foundations, intentions, scope, advancements, and limitations. When applied to natural forest landscapes, mapping techniques must address concepts such as stochasticity, heterogeneity, scale dependence, non-Euclidean geometry, continuity, non-linearity, and parsimony, as well as be explicit about the intended degree of abstraction and assumptions. These studies focus on quantifying natural (i.e., non-human engineered) forest landscape patterns, because those patterns are not planned, are relatively complex, and pose the greatest challenges in cartography, and landscape representation for further interpretation and analysis.
Book Synopsis Advances in Information Retrieval by : David E. Losada
Download or read book Advances in Information Retrieval written by David E. Losada and published by Springer Science & Business Media. This book was released on 2005-03 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 27th European Conference on Information Retrieval Research, ECIR 2005, held in Santiago de Compostela, Spain in March 2005. The 34 revised full papers presented together with 2 invited keynote papers and 17 selected poster papers were carefully reviewed and selected from 124 papers submitted. The papers are organized in topical sections on peer-to-peer, information retrieval models, text summarization, information retrieval methods, text classification and fusion, user studies and evaluation, multimedia retrieval, and Web information retrieval.
Book Synopsis Remote Sensing of Natural Resources by : Guangxing Wang
Download or read book Remote Sensing of Natural Resources written by Guangxing Wang and published by CRC Press. This book was released on 2013-07-12 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control. It also discusses their applications for evaluation of natural resources, including sampling design, land use and land cover classification, natural landscape and ecosystem assessment, forestry, agriculture, biomass and carbon-cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping. The book combines review articles with case studies that demonstrate recent advances and developments of methods, techniques, and applications of remote sensing, with each chapter on a specific area of natural resources. Through a comprehensive examination of the wide range of applications of remote sensing technologies to natural resources, the book provides insight into advanced remote sensing systems, technologies, and algorithms for researchers, scientists, engineers, and decision makers.
Book Synopsis Intelligent Systems Design and Applications by : Ajith Abraham
Download or read book Intelligent Systems Design and Applications written by Ajith Abraham and published by Springer Nature. This book was released on 2021-06-02 with total page 1440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent research on intelligent systems and nature-inspired computing. It presents 130 selected papers from the 19th International Conference on Intelligent Systems Design and Applications (ISDA 2020), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Book Synopsis Adoption of Airborne LiDAR Data and High Spatial Resolution Satellite Imagery for Characterisation and Classification of Forest Communities by : Zhenyu Zhang
Download or read book Adoption of Airborne LiDAR Data and High Spatial Resolution Satellite Imagery for Characterisation and Classification of Forest Communities written by Zhenyu Zhang and published by . This book was released on 2012 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: High resolution spatial data, including airborne LiDAR data and newly available WorldView-2 satellite imagery, offer excellent opportunities to develop new and efficient ways of solving conventional problems in forestry. Those responsible for monitoring forest changes over time relevant to timber harvesting and native forest conservation see the potential for improved documentation from using such data. However, the transfer of new remote sensing technologies from the research domain into operational forestry applications poses challenges. One of the key challenges is the development of a comprehensive procedure which involves deployment of these new remote sensing data to create forest mapping products that are comparable (or superior) in accuracy to conventional photo-interpreted maps. The last decade has witnessed an increase in interest in the application of airborne LiDAR data and high spatial resolution satellite imagery for tree species identification and classification. The research investigations have focused on open forests, and conifer or deciduous forests which are even-aged and of relatively homogenous structures. The suitability of these new remotely sensed data for delineating the structure of complex forest types, particularly for Australian cool temperate rainforest and neighbouring uneven-aged mixed forests in a severely disturbed landscape has hitherto remained untested. This thesis presents ways of processing airborne LiDAR data and high spatial resolution WorldView-2 satellite imagery for characterisation and classification of forest communities in the Strzelecki Ranges, Victoria, Australia. This is a highly disturbed landscape that consists of forestry plantations and large stands of natural forest, including cool temperate rainforest remnants. The k-means clustering algorithm was applied to nonnalised LiDAR points to stratify the vertical forest structure into three layers. Variables characterising the height distribution and density of forest components were derived from LiDAR data within each of these layers. These layer-specific variables were found to be effective in forest classification. Individual trees, including locations and crown sizes, were identified from a LiDAR-derived canopy height model using the TreeVaW algorithm. Augmentation of infonnation extraction from LiDAR data for tree species identification by inclusion of LiDAR intensity data was then tested using statistical analysis techniques. This study demonstrated the contribution of LiDAR-derived intensity variables to the identification of Myrtle Beech (Nothofagus cunninghamii -the dominant species of the Australian cool temperate rainforest in the study area) and adjacent tree species -notably, Silver Wattle (Acacia dealbata) at the individual tree level. Nonparametric classifiers including support vector machines (SVMs) and decision trees were employed to take full advantage of the rich set of infonnation derived from the LiDAR and WorldView-2 imagery data for further improvement in classification accuracy. It is evident that the SVMs have significant advantages over the traditional classification methods in tenns of classification accuracy. Cool temperate rainforest and adjacent forest species were successfully classified from airborne LiDAR data and WorldView-2 satellite imagery using a decision tree approach to object-based analyses in eCognition software. The improvements in results from the methods developed in this study strongly warrant the operational adoption of airborne LiDAR data and high spatial resolution satellite imagery in the management of Australia's forestry resources.
Book Synopsis Manual of Remote Sensing, Remote Sensing for Natural Resource Management and Environmental Monitoring by : Susan L. Ustin
Download or read book Manual of Remote Sensing, Remote Sensing for Natural Resource Management and Environmental Monitoring written by Susan L. Ustin and published by John Wiley & Sons. This book was released on 2004-05-03 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part of an ongoing series of manuals covering the range of applications of remotely sensed imagery, Volume 4 addresses the use of this technology in natural resource management and environmental monitoring. Comprehensive, authoritative, and up-to-date, it covers terrestrial ecosystems, aquatic ecosystems, and agriculture ecosystems, as well as future directions in technology and research.
Book Synopsis Object based segmentation and single tree detection with very high spatial resolution satellite imagery of Tugai Forests along the Tarim River, NW China by :
Download or read book Object based segmentation and single tree detection with very high spatial resolution satellite imagery of Tugai Forests along the Tarim River, NW China written by and published by . This book was released on 2014 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Forestry Applications of Airborne Laser Scanning by : Matti Maltamo
Download or read book Forestry Applications of Airborne Laser Scanning written by Matti Maltamo and published by Springer Science & Business Media. This book was released on 2014-04-08 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Developments in Multidimensional Spatial Data Models by : Alias Abdul Rahman
Download or read book Developments in Multidimensional Spatial Data Models written by Alias Abdul Rahman and published by Springer Science & Business Media. This book was released on 2013-04-13 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research developments in geoinformation science, which includes all the sub-disciplines of the subject, such as: geomatic engineering, GIS, remote sensing, digital photogrammetry, digital cartography, etc.
Book Synopsis Very High Resolution (VHR) Satellite Imagery by : Francisco Eugenio
Download or read book Very High Resolution (VHR) Satellite Imagery written by Francisco Eugenio and published by MDPI. This book was released on 2019-11-06 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, growing interest in the use of remote sensing imagery has appeared to provide synoptic maps of water quality parameters in coastal and inner water ecosystems;, monitoring of complex land ecosystems for biodiversity conservation; precision agriculture for the management of soils, crops, and pests; urban planning; disaster monitoring, etc. However, for these maps to achieve their full potential, it is important to engage in periodic monitoring and analysis of multi-temporal changes. In this context, very high resolution (VHR) satellite-based optical, infrared, and radar imaging instruments provide reliable information to implement spatially-based conservation actions. Moreover, they enable observations of parameters of our environment at greater broader spatial and finer temporal scales than those allowed through field observation alone. In this sense, recent very high resolution satellite technologies and image processing algorithms present the opportunity to develop quantitative techniques that have the potential to improve upon traditional techniques in terms of cost, mapping fidelity, and objectivity. Typical applications include multi-temporal classification, recognition and tracking of specific patterns, multisensor data fusion, analysis of land/marine ecosystem processes and environment monitoring, etc. This book aims to collect new developments, methodologies, and applications of very high resolution satellite data for remote sensing. The works selected provide to the research community the most recent advances on all aspects of VHR satellite remote sensing.
Book Synopsis Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass by : José Aranha
Download or read book Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass written by José Aranha and published by MDPI. This book was released on 2021-09-01 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Special Issue (SI), entitled "Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass”, resulted from 13 peer-reviewed papers dedicated to Forestry and Biomass mapping, characterization and accounting. The papers' authors presented improvements in Remote Sensing processing techniques on satellite images, drone-acquired images and LiDAR images, both aerial and terrestrial. Regarding the images’ classification models, all authors presented supervised methods, such as Random Forest, complemented by GIS routines and biophysical variables measured on the field, which were properly georeferenced. The achieved results enable the statement that remote imagery could be successfully used as a data source for regression analysis and formulation and, in this way, used in forestry actions such as canopy structure analysis and mapping, or to estimate biomass. This collection of papers, presented in the form of a book, brings together 13 articles covering various forest issues and issues in forest biomass calculation, constituting an important work manual for those who use mixed GIS and RS techniques.
Book Synopsis Identification of Tree Species on Large-scale Panchromatic and Color Aerial Photographs by : Robert Chester Heller
Download or read book Identification of Tree Species on Large-scale Panchromatic and Color Aerial Photographs written by Robert Chester Heller and published by . This book was released on 1964 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:
