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Forest Attributes From Multi Angle Multi Date Remotely Sensed Data
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Book Synopsis Forest Attributes from Multi-angle Multi-date Remotely Sensed Data by : Andrew Dyk
Download or read book Forest Attributes from Multi-angle Multi-date Remotely Sensed Data written by Andrew Dyk and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Angle, Multi-Date, Hyperspectral imagery of forests have been used to provide accurate estimates of the canopy characteristics. This thesis investigated the influence of various forest attributes on the spectral reflectance over time and view direction. The Compact High Resolution Imaging Spectrometer (CHRIS) is aboard the ESA PROBA satellite. The revisits of the CHRIS multi-angle images have been used to improve the accuracies of forest species recognition and stand densities compared to a nadir view only. Multi-angle data for CHRIS analysis of forest species produced higher accuracy and were easier to obtain than multi-date date. 5-Scale, a radiative transfer model, and CHRIS data have been compared as inputs into Partial Least Squares (PLS), a fullspectrum analytical method that offers relations between forest stand parameters and the resulting spectra. The resulting coefficients highlight where (view angle and spectral regions) within the multi-angle spectra contributed to estimating the various forest parameters. Methodology of collecting spectral calibration data in the field and the unique pre-processing challenges have been described.
Book Synopsis Forest Attributes from Multi-angle Multi-date Remotely Sensed Data by :
Download or read book Forest Attributes from Multi-angle Multi-date Remotely Sensed Data written by and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-Angle, Multi-Date, Hyperspectral imagery of forests have been used to provide accurate estimates of the canopy characteristics. This thesis investigated the influence of various forest attributes on the spectral reflectance over time and view direction. The Compact High Resolution Imaging Spectrometer (CHRIS) is aboard the ESA PROBA satellite. The revisits of the CHRIS multi-angle images have been used to improve the accuracies of forest species recognition and stand densities compared to a nadir view only. Multi-angle data for CHRIS analysis of forest species produced higher accuracy and were easier to obtain than multi-date date. 5-Scale, a radiative transfer model, and CHRIS data have been compared as inputs into Partial Least Squares (PLS), a fullspectrum analytical method that offers relations between forest stand parameters and the resulting spectra. The resulting coefficients highlight where (view angle and spectral regions) within the multi-angle spectra contributed to estimating the various forest parameters. Methodology of collecting spectral calibration data in the field and the unique pre-processing challenges have been described.
Book Synopsis Advances in Remote Sensing for Forest Monitoring by : Prem C. Pandey
Download or read book Advances in Remote Sensing for Forest Monitoring written by Prem C. Pandey and published by John Wiley & Sons. This book was released on 2022-10-07 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Remote Sensing for Forest Monitoring An expert overview of remote sensing as applied to forests and other vegetation In Advances in Remote Sensing for Forest Monitoring, a team of distinguished researchers delivers an expansive and insightful discussion of the latest research on remote sensing technologies as they relate to the monitoring of forests, plantations, and other vegetation. The authors also explore the use of unmanned aerial vehicles and drones, as well as multisource and multi-sensor data – such as optical, SAR, LIDAR, and hyperspectral data. The book draws on the latest data and research to show how remote sensing solutions are being used in real-world settings. It offers contributions from researchers and practitioners from a wide variety of backgrounds and geographical regions to provide a diverse and global set of perspectives on the subject. Readers will also find: A thorough introduction to forest monitoring using remote sensing including recent advances in remote sensing technology Comprehensive explorations of sustainable forest management to enhance ecosystem services and livelihood security using a geospatial approach Case studies of monitoring the biochemical and biophysical parameters of forests, including carotene and xanthophyll content Practical advice on how to apply machine learning tools to remote sensing data Perfect for postgraduates, lecturers, and researchers in the fields of environmental science, forestry, and natural resource management, Advances in Remote Sensing for Forest Monitoring will also earn a place in the libraries of professionals and researchers working with remote sensing technology.
Book Synopsis 3D Remote Sensing Applications in Forest Ecology by : Hooman Latifi
Download or read book 3D Remote Sensing Applications in Forest Ecology written by Hooman Latifi and published by MDPI. This book was released on 2019-11-19 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecology. Due to the inherent 3D nature of forest ecosystems, the analysis of 3D sources of remote sensing data is considered to be most appropriate for recreating the forest’s compositional, structural and functional dynamics. In this Special Issue of Forests, we published a set of state-of-the-art scientific works including experimental studies, methodological developments and model validations, all dealing with the general topic of 3D remote sensing-assisted applications in forest ecology. We showed applications in forest ecology from a broad collection of method and sensor combinations, including fusion schemes. All in all, the studies and their focuses are as broad as a forest’s ecology or the field of remote sensing and, thus, reflect the very diverse usages and directions toward which future research and practice will be directed.
Book Synopsis Remote Sensing of Forest Environments by : Michael A. Wulder
Download or read book Remote Sensing of Forest Environments written by Michael A. Wulder and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing of Forest Environments: Concepts and Case Studies is an edited volume intended to provide readers with a state-of-the-art synopsis of the current methods and applied applications employed in remote sensing the world's forests. The contributing authors have sought to illustrate and deepen our understanding of remote sensing of forests, providing new insights and indicating opportunities that are created when forests and forest practices are considered in concert with the evolving paradigm of remote sensing science. Following background and methods sections, this book introduces a series of case studies that exemplify the ways in which remotely sensed data are operationally used, as an element of the decision-making process, and in the scientific study of forests. Remote Sensing of Forest Environments: Concepts and Case Studies is designed to meet the needs of a professional audience composed of both practitioners and researchers. This book is also suitable as a secondary text for graduate-level students in Forestry, Environmental Science, Geography, Engineering, and Computer Science.
Book Synopsis Multi-Source Remote Sensing Data for Automated Extraction of Fine-scale Attributes in a Northern Hardwood Forest by : Jian Yang
Download or read book Multi-Source Remote Sensing Data for Automated Extraction of Fine-scale Attributes in a Northern Hardwood Forest written by Jian Yang and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forest resources require careful management and planning as they are under increasing pressure to support wood industry and conservation needs. The management of structurally complex, uneven-aged, deciduous-dominated forests requires detailed and accurate data on fine-scale forest attributes (e.g., gap dynamics, crown sizes, species distributions). New advances in remote sensing techniques will transform traditional forest inventory practices that have relied on expensive ground-based measurements or less accurate interpretation of aerial photography. Recently, multiple sources of high spatial resolution remote sensing data have demonstrated great potential for automated extraction of fine-scale forest attributes. In this context, my PhD research aims to utilize multi-source high spatial resolution remote sensing data to develop methods for automated extraction of fine-scale forest attributes in deciduous-dominated forests, including canopy gap identification, crown delineation, and species classification. This study was carried out in Haliburton Forest and Wildlife Reserve, an uneven-aged, deciduous-dominated forest located in the Great Lakes-St. Lawrence region of Central Ontario, Canada. Specifically, the thesis first quantified the accuracy of canopy gap segmentation and classification by integrating optical and LiDAR data. Thereafter, the thesis proposed a novel method for individual tree crown (ITC) delineation, involving multispectral watershed segmentation and multi-scale fitting. Finally, the thesis explored the feasibility of using multi-seasonal WorldView-3 images to map tree species using the delineated ITCs. Results indicated that: (1) the independent use of LiDAR data performed the best segmentation of canopy gaps while the synergistic use of optical and LiDAR data provided higher classification accuracy for non-forest and forest gap identification; (2) the proposed multispectral watershed segmentation and multi-scale fitting method was able to produce ITC maps of higher quality; (3) the combined use of late-spring, mid-summer, and early-spring images substantially improved the accuracy of individual tree-based species classification. The goal of this study was to develop automated methods for extracting fine-scale forest attributes for operational purposes. Although the proposed methods were mainly designed for temperate deciduous-dominated forests, they could be implemented in other types of temperate or boreal forests, such as coniferous-dominated forests.
Book Synopsis The Use of Remote Sensing in the Modeling of Forest Productivity by : H.L. Gholz
Download or read book The Use of Remote Sensing in the Modeling of Forest Productivity written by H.L. Gholz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forests comprise the greatest storage of carbon on land, provide fuel for millions, are the habitat for most terrestrial biodiversity, and are critical to the economies of many countries. Yet changes in the extent and dynamics of forests are inherently difficult to detect and quantify. Remote sensing technologies may facilitate the measurement of some key forest properties which, when combined with other information contained in various computer models, may allow for the quantification of critical forest functions. This book explores how remote sensing and computer modeling can be combined to estimate changes in the carbon storage, or productivity, of forests - from the level of the leaf to the level of the globe. Land managers, researchers, policy makers and students will all find stimulating discussions among an international set of experts at the cutting edge of the interface between science, technology and management.
Book Synopsis Remote Sensing Handbook - Three Volume Set by : Prasad Thenkabail
Download or read book Remote Sensing Handbook - Three Volume Set written by Prasad Thenkabail and published by CRC Press. This book was released on 2018-10-03 with total page 2304 pages. Available in PDF, EPUB and Kindle. Book excerpt: A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso
Download or read book The Earth Observer written by and published by . This book was released on 2005 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Comprehensive Remote Sensing by : Shunlin Liang
Download or read book Comprehensive Remote Sensing written by Shunlin Liang and published by Elsevier. This book was released on 2017-11-08 with total page 3183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding
Book Synopsis Remote Sensing of Forest Resources by : J.A. Howard
Download or read book Remote Sensing of Forest Resources written by J.A. Howard and published by Springer. This book was released on 1991-10-31 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main aim of this book is to provide a comprehensive text in a worldwide perspective of remote sensing in forestry. It is intended for those concerned with the management of forest resources, forestry students and researchers commencing studies on the remote sensing of the forest environment.
Book Synopsis Remote Sensing of Above Ground Biomass by : Lalit Kumar
Download or read book Remote Sensing of Above Ground Biomass written by Lalit Kumar and published by MDPI. This book was released on 2019-08-20 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Above ground biomass has been listed by the Intergovernmental Panel on Climate Change as one of the five most prominent, visible, and dynamic terrestrial carbon pools. The increased awareness of the impacts of climate change has seen a burgeoning need to consistently assess carbon stocks to combat carbon sequestration. An accurate estimation of carbon stocks and an understanding of the carbon sources and sinks can aid the improvement and accuracy of carbon flux models, an important pre-requisite of climate change impact projections. Based on 15 research topics, this book demonstrates the role of remote sensing in quantifying above ground biomass (forest, grass, woodlands) across varying spatial and temporal scales. The innovative application areas of the book include algorithm development and implementation, accuracy assessment, scaling issues (local–regional–global biomass mapping), and the integration of microwaves (i.e. LiDAR), along with optical sensors, forest biomass mapping, rangeland productivity and abundance (grass biomass, density, cover), bush encroachment biomass, and seasonal and long-term biomass monitoring.
Book Synopsis Remote Sensing for Sustainable Forest Management by : Steven E. Franklin
Download or read book Remote Sensing for Sustainable Forest Management written by Steven E. Franklin and published by CRC Press. This book was released on 2001-06-13 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: As remote sensing data and methods have become increasingly complex and varied - and increasingly reliable - so have their uses in forest management. New algorithms have been developed in virtually every aspect of image analysis, from classification to enhancements to estimating parameters. Remote Sensing for Sustainable Forest Management reviews t
Book Synopsis Development and Refinement of New Products from Multi-angle Remote Sensing to Improve Leaf Area Index Retrieval by : Jan Pisek
Download or read book Development and Refinement of New Products from Multi-angle Remote Sensing to Improve Leaf Area Index Retrieval written by Jan Pisek and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote sensing provides methods to infer vegetation information over large areas at a variety of spatial and temporal resolutions that is of great use for terrestrial carbon cycle modeling. Understory vegetation and foliage clumping in forests present a challenge for accurate estimates of vegetation structural information. Multi-angle remote sensing was used to derive and refine new information about the vegetation structure for the purpose of improving global leaf area index mapping. The previous first ever global mapping of the vegetation clumping index with a limited eight-month multi-angular POLDER 1 dataset was expanded by integrating new, complete year-round observations from POLDER 3. A simple topographic compensation function was devised to correct negative bias in the data set cause by topographic effects. The clumping index reductions can reach up to 30% from the topographically non-compensated values, depending on terrain complexity and land cover type. The new global clumping index map is compared with an assembled set of field measurements, covering four continents and diverse biomes. Finally, inclusion of the new vegetation structural information, including background reflectivity and clumping index, gained from the multi-angle remote sensing was then shown to improve the performance of LAI retrieval algorithms over forests. A field experiment with multi-angle, high resolution airborne observations over modified and natural backgrounds (understory, moss, litter, soil) was conducted in 2007 near Sudbury, Ontario to test a methodology for the background reflectivity retrieval. The experiment showed that it is feasible to retrieve the background information, especially over the crucial low to intermediate canopy density range where the effect of the understory vegetation is the largest. The tested methodology was then applied to background reflectivity mapping over conterminous United States, Canada, Mexico, and Caribbean land mass using space-borne Multi-angle Imaging SpectroRadiometer (MISR) data. Important seasonal development of the forest background vegetation was observed across a wide longitudinal and latitudinal span of the study area.
Book Synopsis Practical Application of Remote Sensing in Forestry by : Sune Sohlberg
Download or read book Practical Application of Remote Sensing in Forestry written by Sune Sohlberg and published by Springer. This book was released on 1986-10-31 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of a Seminar on the Practical Applications of Remote Sensing in Forestry, Jönköping, May 1985, under the Auspices of the Joint FAO/ECE Working Party on Forest Economics and Statistics and the Swedish National Board of Forestry under the Ministry of Agriculture
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 Biomass and Stem Volume Equations for Tree Species in Europe by : Dimitris Zianis
Download or read book Biomass and Stem Volume Equations for Tree Species in Europe written by Dimitris Zianis and published by . This book was released on 2005 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: A review of stem volume and biomass equations for tree species growing in Europe is presented. The mathematical forms of the empirical models, the associated statistical parameters and information about the size of the trees and the country of origin were collated from scientific articles and from technical reports. The collected information provides a basic tool for estimation of carbon stocks and nutrient balance of forest ecosystems across Europe as well as for validation of theoretical models of biomass allocation.
