REMOTE SENSING OF VEGETATION

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Remote Sensing Of Vegetation

Author : Hamlyn G Jones
ISBN : 9780199207794
Genre : Science
File Size : 70.88 MB
Format : PDF
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An accessible yet rigorous introduction to remote sensing and its application to the study of vegetation for advanced undergraduate and graduate students. The underlying physical and mathematical principles of the techniques disucussed are explained in a way readily understood by those without a strong mathematical background.
Category: Science

Hyperspectral Remote Sensing Of Vegetation

Author : Prasad S. Thenkabail
ISBN : 9781439845387
Genre : Science
File Size : 83.84 MB
Format : PDF, Kindle
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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.
Category: Science

Land Resources Monitoring Modeling And Mapping With Remote Sensing

Author : Prasad S. Thenkabail, Ph.D.
ISBN : 9781482217988
Genre : Technology & Engineering
File Size : 42.82 MB
Format : PDF, Docs
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A volume in the three-volume Remote Sensing Handbook series, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing 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 Remote Sensing of Water Resources, Disasters, and Urban Studies. In true handbook style, the chapters in the volume have been carefully selected, organized, and designed to be self-contained so that you can focus on a chapter and read it through without having to be overly dependent on other chapters. This volume provides comprehensive theoretical and practical coverage of remote sensing of land resources that include vegetation and biomass, agricultural croplands, rangelands, phenology and food security, forests, biodiversity, ecology, land use\land cover, carbon, and soils. Highlights include: Global terrestrial carbon and carbon budgets Precision farming Agricultural systems studies and soil studies Global croplands, agricultural croplands, and rangelands Food security analysis Biodiversity Land use and land cover mapping Measuring photosynthesis from space Vegetation characterization and above ground biomass measurements and modeling Hyperspectral remote sensing Ecological studies Tropical forest characterization Habitat mapping and monitoring In a very practical way, the book demonstrates the experience, utility, methods, and models used in studying a wide array of land applications. Considered magnum opus on the subject, the three-volume Remote Sensing Handbook is edited by Dr. Prasad S. Thenkabail, a renowned international expert in remote sensing science, GIScience, and spatial sciences, with contributions from some of the very best leading global experts, the handbook gives you a knowledge base on the evolution remote sensing science, state-of-the-art technology, and a future vision for the field.
Category: Technology & Engineering

Advances In Environmental Remote Sensing

Author : Qihao Weng
ISBN : 1420091816
Genre : Technology & Engineering
File Size : 87.80 MB
Format : PDF
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Generating a satisfactory classification image from remote sensing data is not a straightforward task. Many factors contribute to this difficulty including the characteristics of a study area, availability of suitable remote sensing data, ancillary and ground reference data, proper use of variables and classification algorithms, and the analyst’s experience. An authoritative text, Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications compiles comprehensive review articles to examine the developments in concepts, methods, techniques, and applications as well as focused articles and case studies on the latest on a particular topic. Divided into four sections, the first deals with various sensors, systems, or sensing operations using different regions of wavelengths. Drawing on the data and lessons learned from the U.S. Landsat remote sensing programs, it reviews key concepts, methods, and practical uses of particular sensors/sensing systems. Section II presents new developments in algorithms and techniques, specifically in image preprocessing, thematic information extraction, and digital change detection. It gives correction algorithms for hyperspectral, thermal, and multispectral sensors, discusses the combined method for performing topographic and atmospheric corrections, and provides examples of correcting non-standard atmospheric conditions, including haze, cirrus, and cloud shadow. Section III focuses on remote sensing of vegetation and related features of the Earth’s surface. It reviews advancements in the remote sensing of ecosystem structure, process, and function, and notes important trade-offs and compromises in characterizing ecosystems from space related to spatial, spectral, and temporal resolutions of the imaging sensors. It discusses the mismatch between leaf-level and species-level ecological variables and satellite spatial resolutions and the resulting difficulties in validating satellite-derived products. Finally, Section IV examines developments in the remote sensing of air, water, and other terrestrial features, reviews MODIS algorithms for aerosol retrieval at both global and local scales, and demonstrates the retrieval of aerosol optical thickness (AOT). This section rounds out coverage with a look at remote sensing approaches to measure the urban environment and examines the most important concepts and recent research.
Category: Technology & Engineering

Advanced Applications In Remote Sensing Of Agricultural Crops And Natural Vegetation

Author : Prasad S. Thenkabail
ISBN : 9780429775161
Genre : Science
File Size : 55.4 MB
Format : PDF, Kindle
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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 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. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective. Key Features of Volume IV: Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible, red-edge, near-infrared, far-infrared, shortwave infrared, and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems.
Category: Science

Remote Sensing Of The Environment

Author : John R. Jensen
ISBN : MINN:31951D020187578
Genre : Computers
File Size : 32.38 MB
Format : PDF, ePub
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This book introduces the principles of remote sensing from an Earth resource perspective. It describes a) the fundamental characteristics of electromagnetic radiation and how the energy interacts with Earth materials such as vegetation, water, soil and rock, b) how the energy reflected or emitted from these materials is recorded using a variety of remote sensing instruments (e.g., cameras, multispectral scanners, hyperspectral instruments, RADAR), and c) how we can extract fundamental biophysical or land use/land cover information from the remote sensor data. The history of remote sensing, the principles of visual photo-interpretation, and photogrammetry are also presented. Application chapters focus on remote sensing of vegetation, water, urban land use, and soil/rock and geomorphic features. The book was written for physical, natural, and social scientists interested in how remote sensing of the environment can be used to solve real-world problems. The following features make this book easy to comprehend and apply: a) it contains hundreds of illustrations specially designed to make complex principles easy to understand, b) a substantial reference list at the end of each chapter, c) the 8.5 x 11" format allows the remote sensing images and diagrams to be easily interpreted, d) 32 pages of color are used to display remote sensing images or biophysical information that may be extracted from remote sensor data, and e) an Appendix provides Internet addresses for the most important sources of remote sensing information. Exercises and book illustrations are made available to instructors via the author's website. This book is a companion to "Introductory Digital Image Processing: A Remote Sensing Perspective" (Prentice-Hall, Inc., 1996) which introduces the fundamentals of digital image analysis. It is ideal for undergraduate or graduate courses in airphoto interpretation and remote sensing.
Category: Computers

Scale In Remote Sensing And Gis

Author : Dale A. Quattrochi
ISBN : 156670104X
Genre : Technology & Engineering
File Size : 58.73 MB
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The recent emergence and widespread use of remote sensing and geographic information systems (GIS) has prompted new interest in scale as a key component of these and other geographic information technologies. Techniques for dealing explicitly with scale are now available in GIS, but, until now, very little literature was available to consider and solve specific issues of scale. With a balanced mixture of concepts, practical examples, techniques, and theory, Scale in Remote Sensing and GIS is a guide for students and users of remote sensing and GIS who must deal with the issues raised by multiple temporal and spatial scales.
Category: Technology & Engineering