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Assessing Indicators Of Forest Sustainability Using Lidar Remote Sensing
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Book Synopsis Assessing Indicators of Forest Sustainability Using Lidar Remote Sensing by :
Download or read book Assessing Indicators of Forest Sustainability Using Lidar Remote Sensing written by and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Province of British Columbia is developing a suite of attributes to assess and monitor forest sustainability. Each attribute is in turn evaluated using a variety of indicators. Recently, digital remote sensing technologies have emerged as both alternative and supplement to traditional monitoring techniques, with light detection and ranging (lidar) in particular showing great promise for estimating a variety of indicators. The goal of this thesis was to review and assess the ability of lidar to estimate selected indicators of forest sustainability. Specifically, digital elevation model (DEM) interpolation (from which indicators are extracted both directly and indirectly) and wildlife tree class distributions were examined. Digital elevation models are a key derivative of lidar data, and their generation is a critical step in the data processing stream. A validation exercise was undertaken to determine which combination of interpolation routine and spatial resolution was the most accurate. Ground returns were randomly subsetted into prediction and validation datasets. Linear, quintic, natural neighbour, spline with tension, regularized spline, inverse distance weighting, and ANUDEM interpolation routines were used to generate surfaces at spatial resolutions of 0.5, 1.0, and 1.5 m. The 0.5 m natural neighbour surface was found to be the most accurate (RMSE=0.17 m). Classification and regression tree analysis indicated that slope and ground return density were the best predictors of interpolation error. The amount and variability of living and dead wood in a forest stand is an important indicator of forest biodiversity. In the second study, the capacity of lidar to estimate the distribution of living and dead trees within forests is investigated. Twenty-two field plots were established in which each stem (DBH>10cm) was assigned to a wildlife tree (WT) class. For each plot, a suite of lidar-derived predictor variables were extracted. Ordinal logistic regression was t.
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 Advances in Forest Inventory for Sustainable Forest Management and Biodiversity Monitoring by : Piermaria Corona
Download or read book Advances in Forest Inventory for Sustainable Forest Management and Biodiversity Monitoring written by Piermaria Corona and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forests represent a remnant wilderness of high recreational value in the densely populated industrial societies, a threatened natural resource in some regions of the world and a renewable reservoir of essential raw materials for the wood processing industry. In June 1992 the United Nations Conference on the Environment and Development (UNCED) in Rio de Janeiro initiated a world-wide process of negotiation with the aim of ensuring sustainable management, conservation and development of forest resources. Although there seems to be unanimous support for sustainable development from all quarters, there is no generally accepted set of indicators which allows comparisons to be made between a given situation and a desirable one. In a recent summary paper prepared by the FAO Forestry and Planning Division, Ljungman et al. (1999) find that forest resources continue to diminish, while being called upon to produce a greater range of goods and services and that calls for sustainable forest management will simply go unheeded if the legal, policy and administrative environment do not effectively control undesirable practices. Does the concept of sustainable forest management represent not much more than a magic formula for achieving consensus, a vague idea which makes it difficult to match action to rhetoric? The concept of sustainable forest management is likely to remain an imprecise one, but we can contribute to avoiding management practices that are clearly unsustainable.
Book Synopsis Remote Sensing Opportunities for Monitoring Indicators of Forest Sustainability by : Nicholas C. Coops
Download or read book Remote Sensing Opportunities for Monitoring Indicators of Forest Sustainability written by Nicholas C. Coops and published by . This book was released on 2009 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bioindicators of Forest Health and Sustainability by : W. H. Fogal
Download or read book Bioindicators of Forest Health and Sustainability written by W. H. Fogal and published by Sault Ste. Marie : Ontario Forest Research Institute. This book was released on 1997 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary objective of the project reported in this document is to review and evaluate the use of remote sensing applications to assess forest health and sustainability. After an introduction discussing the concept of forest health and relationships between stress, strain, and damage, section 2 reviews the factors most likely to cause plant stress, the manner in which the stresses are manifested, and methods for detecting or determining those factors (both environmental and man-made). Section 3 focuses on the manifestations or markers of stress, related factors, and other indicators of health and vigour. This leads to a review of the role of remote sensing technology for supplying such information in section 4, which describes such tools as cameras, imaging spectrometers, satellite-borne sensors, and geographic information technologies. Section 5 reviews applications where remote sensing could contribute to forest health studies, and identifies the most promising technologies. A design framework for forest health monitoring is then outlined, and some general implementation strategies are suggested. Specific project stages and pilot studies are also proposed which are intended to develop essential methodologies or test new approaches to forest health remote sensing. Finally, financial implications of various project options are assessed. The appendix includes discussion of temporal and spatial considerations for monitoring forest health and sustainability.
Book Synopsis Quantitative Techniques in Participatory Forest Management by : Eugenio Martinez-Falero
Download or read book Quantitative Techniques in Participatory Forest Management written by Eugenio Martinez-Falero and published by CRC Press. This book was released on 2016-04-19 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forest management has evolved from a mercantilist view to a multi-functional one that integrates economic, social, and ecological aspects. However, the issue of sustainability is not yet resolved. Quantitative Techniques in Participatory Forest Management brings together global research in three areas of application: inventory of the forest variables that determine the main environmental indices, description and design of new environmental indices, and the application of sustainability indices for regional implementations. All these quantitative techniques create the basis for the development of scientific methodologies of participatory sustainable forest management.
Book Synopsis Advanced Methods for 3-D Forest Characterization and Mapping from Lidar Remote Sensing Data by : Carlos Alberto Silva
Download or read book Advanced Methods for 3-D Forest Characterization and Mapping from Lidar Remote Sensing Data written by Carlos Alberto Silva and published by . This book was released on 2018 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate and spatially explicit measurements of forest attributes are critical for sustainable forest management and for ecological and environmental protection. Airborne Light Detection and Ranging (lidar) systems have become the dominant remote sensing technique for forest inventory, mainly because this technology can quickly provide highly accurate and spatially detailed information about forest attributes across entire landscapes. This dissertation is focused on developing and assessing novel and advanced methods for three dimensional (3-D) forest characterization. Specifically, I map canopy structural attributes of individual trees, as well as forests at the plot and landscape levels in both natural and industrial plantation forests using lidar remote sensing data. Chapter 1 develops a novel framework to automatically detect individual trees and evaluates the efficacy of k-nearest neighbor (k-NN) imputation models for estimating tree attributes in longleaf pine (Pinus palustris Mill.) forests. Although basal area estimation accuracy was poor because of the longleaf pine growth habit, individual tree locations, height and volume were estimated with high accuracy, especially in low-canopy-cover conditions. The root mean square distance (RMSD) for tree-level height, basal area, and volume were 2.96%, 58.62%, and 8.19%, respectively. Chapter 2 presents a methodology for predicting stem total and assortment volumes in industrial loblolly pine (Pinus taeda L.) forest plantations using lidar data as inputs to random forest models. When compared to reference forest inventory data, the accuracy of plot-level forest total and assortment volumes was high; the root mean square error (RMSE) of total, commercial and pulp volume estimates were 7.83%, 7.71% and 8.63%, respectively. Chapter 3 evaluates the impacts of airborne lidar pulse density on estimating aboveground biomass (AGB) stocks and changes in a selectively logged tropical forest. Estimates of AGB change at the plot level were only slightly affected by pulse density. However, at the landscape level we observed differences in estimated AGB change of >20 Mg ̇ha−1 when pulse density decreased from 12 to 0.2 pulses ̇m−2. The effects of pulse density were more pronounced in areas of steep slope, but when the DTM from high pulse density in 2014 was used to derive the forest height from both years, the effects on forest height and subsequent AGB stocks and change estimates did not exceed 20 Mg ̇ha−1. Chapter 4 presents a comparison of airborne small-footprint (SF) and large-footprint (LF) lidar retrievals of ground elevation, vegetation height and biomass across a successional tropical forest gradient in central Gabon. The comparison of the two sensors shows that LF lidar waveforms are equivalent to simulated waveforms from SF lidar for retrieving ground elevation (RMSE=0.5 m, bias=0.29 m) and maximum forest height (RMSE=2.99 m; bias=0.24 m). Comparison of gridded LF lidar height with ground plots showed that an unbiased estimate of aboveground biomass at 1-ha can be achieved with a sufficient number of large footprints (> 3). Lastly, Appendix A presents an open source R package for airborne lidar visualization and processing for forestry applications.
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 Sourcebook on Remote Sensing and Biodiversity Indicators by : Holly Strand
Download or read book Sourcebook on Remote Sensing and Biodiversity Indicators written by Holly Strand and published by . This book was released on 2007 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This sourcebook is intended to assist environmental managers and others who work with indicators in pursuing appropriate methods for indicator testing and production, and to offer some guidance to those responsible for the interpretation of indicators and implementation of decisions based on them. Upon reading this document, technical advisers, environmental policy makers, and remote sensing lab directors and project managers should be able to identify specific, relevant uses of remote sensing data for biodiversity monitoring and indicator development related to the CBD." --p. 8.
Book Synopsis Remote Sensing Technology Applications in Forestry and REDD+ by : Kim Calders
Download or read book Remote Sensing Technology Applications in Forestry and REDD+ written by Kim Calders and published by MDPI. This book was released on 2020-03-17 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in close-range and remote sensing technologies are driving innovations in forest resource assessments and monitoring on varying scales. Data acquired with airborne and spaceborne platforms provide high(er) spatial resolution, more frequent coverage, and more spectral information. Recent developments in ground-based sensors have advanced 3D measurements, low-cost permanent systems, and community-based monitoring of forests. The UNFCCC REDD+ mechanism has advanced the remote sensing community and the development of forest geospatial products that can be used by countries for the international reporting and national forest monitoring. However, an urgent need remains to better understand the options and limitations of remote and close-range sensing techniques in the field of forest degradation and forest change. Therefore, we invite scientists working on remote sensing technologies, close-range sensing, and field data to contribute to this Special Issue. Topics of interest include: (1) novel remote sensing applications that can meet the needs of forest resource information and REDD+ MRV, (2) case studies of applying remote sensing data for REDD+ MRV, (3) timeseries algorithms and methodologies for forest resource assessment on different spatial scales varying from the tree to the national level, and (4) novel close-range sensing applications that can support sustainable forestry and REDD+ MRV. We particularly welcome submissions on data fusion.
Book Synopsis Global Forest Monitoring from Earth Observation by : Frederic Achard
Download or read book Global Forest Monitoring from Earth Observation written by Frederic Achard and published by CRC Press. This book was released on 2016-04-19 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering recent developments in satellite observation data undertaken for monitoring forest areas from global to national levels, this book highlights operational tools and systems for monitoring forest ecosystems. It also tackles the technical issues surrounding the ability to produce accurate and consistent estimates of forest area changes, which are needed to report greenhouse gas emissions and removals from land use changes. Written by leading global experts in the field, this book offers a launch point for future advances in satellite-based monitoring of global forest resources. It gives readers a deeper understanding of monitoring methods and shows how state-of-art technologies may soon provide key data for creating more balanced policies.
Book Synopsis Monitoring for Forest Management Unit Scale Sustainability by : Pamela A. Wright
Download or read book Monitoring for Forest Management Unit Scale Sustainability written by Pamela A. Wright and published by . This book was released on 2002 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monitoring for Forest Management Unit Scale Sustainability by : Pamela A. Wright
Download or read book Monitoring for Forest Management Unit Scale Sustainability written by Pamela A. Wright and published by . This book was released on 2002 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory by : Michael Köhl
Download or read book Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory written by Michael Köhl and published by Springer Science & Business Media. This book was released on 2006-10-19 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art of forest resources assessments and monitoring. It provides links to practical applications of forest and natural resource assessment programs. It offers an overview of current forest inventory systems and discusses forest mensuration, sampling techniques, remote sensing applications, geographic and forest information systems, and multi-resource forest inventory. Attention is also given to the quantification of non-wood goods and services.
Book Synopsis Advances in Remote Sensing for Global Forest Monitoring by : Erkki Tomppo
Download or read book Advances in Remote Sensing for Global Forest Monitoring written by Erkki Tomppo and published by MDPI. This book was released on 2021-09-01 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and temporal resolutions have been utilized. Parametric and non-parametric methods including machine and deep learning methods have been employed. Uncertainty estimation is a key topic in each study. In total, 15 articles are included, of which one is a review article dealing with methods employed in remote sensing aided greenhouse gas inventories, and one is the Editorial summary presenting a short review of each article.
Book Synopsis Quantitative Techniques in Participatory Forest Management by : Eugenio Martinez-Falero
Download or read book Quantitative Techniques in Participatory Forest Management written by Eugenio Martinez-Falero and published by CRC Press. This book was released on 2016-04-19 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forest management has evolved from a mercantilist view to a multi-functional one that integrates economic, social, and ecological aspects. However, the issue of sustainability is not yet resolved. Quantitative Techniques in Participatory Forest Management brings together global research in three areas of application: inventory of the forest variables that determine the main environmental indices, description and design of new environmental indices, and the application of sustainability indices for regional implementations. All these quantitative techniques create the basis for the development of scientific methodologies of participatory sustainable forest management.
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
