Author: Ontario Forest Research Institute
Publisher: Sault Ste. Marie : Ontario Forest Research Institute
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 216
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Book Description
This compilation provides summaries of the concurrent session & poster presentations from a meeting held to discuss emerging forest resource & sustainable forestry issues in the Great Lakes region. Topics covered include economic issues such as certification, criteria, & indicators of sustainability; value-added forest products; environmental education; involvement of private landowners in developing strategies for sustainable forest management; climate change; riparian zone management; and maintaining wildlife habitat.
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 872
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Book Description
Author:
Publisher:
ISBN:
Category : Ecological assessment (Biology)
Languages : en
Pages : 350
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Book Description
Author: Paul H. Gobster
Publisher:
ISBN:
Category : Landscape ecology
Languages : en
Pages : 72
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Book Description
Reports on the activities, progress, and highlights of research findings for the first 5 years (1999-2003) of the North Central Research Station`s Landscape Change Integrated Research and Development Program.
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 588
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Book Description
Author: Prasad S. Thenkabail
Publisher: CRC Press
ISBN: 1351659251
Category : Science
Languages : en
Pages : 333
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Book Description
Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of- the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. This volume presents and discusses topics such as the non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, and forest leaf chlorophyll content, among others. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume II through the editors’ perspective. Key Features of Volume II: Provides the fundamentals of hyperspectral narrowband vegetation indices and hyperspectral derivative vegetation indices and their applications in agriculture and vegetation studies. Discusses the latest advances in hyperspectral image classification methods and their applications. Explains the massively big hyperspectral sensing data processing on cloud computing architectures. Highlights the state-of-the-art methods in the field of hyperspectral narrowband vegetation indices for monitoring agriculture, vegetation, and their properties such as plant water content, nitrogen, chlorophyll, and others at leaf, canopy, field, and landscape scales. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.
Author: Prasad S. Thenkabail
Publisher: CRC Press
ISBN: 1351659111
Category : Technology & Engineering
Languages : en
Pages : 1637
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Book Description
Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments. Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection.
Author:
Publisher:
ISBN:
Category : Forest conservation
Languages : en
Pages : 86
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Book Description
Author: Prasad S. Thenkabail
Publisher: CRC Press
ISBN: 1439845387
Category : Science
Languages : en
Pages : 766
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Book Description
Hyperspectral narrow-band (or imaging spectroscopy) spectral data are fast emerging as practical solutions in modeling and mapping vegetation. Recent research has demonstrated the advances in and merit of hyperspectral data in a range of applications including quantifying agricultural crops, modeling forest canopy biochemical properties, detecting crop stress and disease, mapping leaf chlorophyll content as it influences crop production, identifying plants affected by contaminants such as arsenic, demonstrating sensitivity to plant nitrogen content, classifying vegetation species and type, characterizing wetlands, and mapping invasive species. The need for significant improvements in quantifying, modeling, and mapping plant chemical, physical, and water properties is more critical than ever before to reduce uncertainties in our understanding of the Earth and to better sustain it. There is also a need for a synthesis of the vast knowledge spread throughout the literature from more than 40 years of research. Hyperspectral Remote Sensing of Vegetation integrates this knowledge, guiding readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Taking a practical approach to a complex subject, the book demonstrates the experience, utility, methods and models used in studying vegetation using hyperspectral data. Written by leading experts, including pioneers in the field, each chapter presents specific applications, reviews existing state-of-the-art knowledge, highlights the advances made, and provides guidance for the appropriate use of hyperspectral data in the study of vegetation as well as its numerous applications, such as crop yield modeling, crop and vegetation biophysical and biochemical property characterization, and crop moisture assessment. This comprehensive book brings together the best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, vegetation classification, biophysical and biochemical modeling, crop productivity and water productivity mapping, and modeling. It provides the pertinent facts, synthesizing findings so that readers can get the correct picture on issues such as the best wavebands for their practical applications, methods of analysis using whole spectra, hyperspectral vegetation indices targeted to study specific biophysical and biochemical quantities, and methods for detecting parameters such as crop moisture variability, chlorophyll content, and stress levels. A collective "knowledge bank," it guides professionals to adopt the best practices for their own work.
Author: Lisa Jean Buse
Publisher: Sault Ste. Marie : Ontario Forest Research Institute
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 72
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Book Description
"This bibliography compiles all publications written, co-authored, or commissioned by OFRI staff between 2001 and 2005. During this period over 200 publications were produced including 3 books, 87 journal articles, 26 reports, 11 technical notes, 5 newsletters, 47 papers/summaries in conference/workshop proceedings. Topics covered are diverse: understanding natural disturbance regimes and landscape dynamics, carbon budgets and effects of climate change on forests, results of 1998 ice storm research, silviculture studies covering everything from site preparation, tree improvement, stock production, planting, and vegetation management, to stand growth and yield, thinning, disease management and harvesting for conifer, mixedwood, and hardwood forests in the boreal and Great Lakes region of Ontario. Author and subject indexes are provided."--Document.
