Potential Of Multi Temporal Remote Sensing Data For Modeling Tree Species Distributions And Species Richness In Mexico
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Potential Of Multi Temporal Remote Sensing Data For Modeling Tree Species Distributions And Species Richness In Mexico
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Author : Anna Cord
language : en
Publisher:
Release Date : 2012
Potential Of Multi Temporal Remote Sensing Data For Modeling Tree Species Distributions And Species Richness In Mexico written by Anna Cord and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Proceedings Of The International Symposium On Remote Sensing Of Environment
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Author :
language : en
Publisher:
Release Date : 2009
Proceedings Of The International Symposium On Remote Sensing Of Environment written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Geophysics categories.
Remote Sensing Of Plant Biodiversity
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Author : Jeannine Cavender-Bares
language : en
Publisher: Springer Nature
Release Date : 2020-06-22
Remote Sensing Of Plant Biodiversity written by Jeannine Cavender-Bares and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-22 with Science categories.
This Open Access volume aims to methodologically improve our understanding of biodiversity by linking disciplines that incorporate remote sensing, and uniting data and perspectives in the fields of biology, landscape ecology, and geography. The book provides a framework for how biodiversity can be detected and evaluated—focusing particularly on plants—using proximal and remotely sensed hyperspectral data and other tools such as LiDAR. The volume, whose chapters bring together a large cross-section of the biodiversity community engaged in these methods, attempts to establish a common language across disciplines for understanding and implementing remote sensing of biodiversity across scales. The first part of the book offers a potential basis for remote detection of biodiversity. An overview of the nature of biodiversity is described, along with ways for determining traits of plant biodiversity through spectral analyses across spatial scales and linking spectral data to the tree of life. The second part details what can be detected spectrally and remotely. Specific instrumentation and technologies are described, as well as the technical challenges of detection and data synthesis, collection and processing. The third part discusses spatial resolution and integration across scales and ends with a vision for developing a global biodiversity monitoring system. Topics include spectral and functional variation across habitats and biomes, biodiversity variables for global scale assessment, and the prospects and pitfalls in remote sensing of biodiversity at the global scale.
Remote Sensing Advances In Biodiversity And Ecosystem Functioning Research
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Author : Zhouyuan Li
language : en
Publisher: Frontiers Media SA
Release Date : 2024-02-06
Remote Sensing Advances In Biodiversity And Ecosystem Functioning Research written by Zhouyuan Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-06 with Science categories.
Different dimensions of biodiversity are increasingly appreciated as critical for maintaining the functions of ecosystems and their services to humans. More recently, with the emergence of functional biogeography, functional diversity is of particular interest due to its strong links with ecosystem processes such as carbon, water and energy exchange, and climate mitigation. The multi-form diversity varies in space and time. Understanding this variation across scales is important for tracking the resilience of Earth’s ecosystem, and the information on the ecosystem structural features provides necessary foundations for monitoring, predicting the ecosystem functioning patterns and process of ecosystems from individual unit to its whole in a holistic manner. In recent, the high-resolution, high-throughput, non-intrusive, and large-scale data on biodiversity monitoring and measurement are becoming a new trend toward enhancing the efficiency and coherency in ecological discovery. Still, the available multi-scale data on multi-dimensional diversity are incomplete and non-representative taxonomically, geographically and temporally. Although the studies on functional traits and their relations with function continue to grow, local observations on functional traits are limited. Recently, remote sensing has proved to be a critical technology for addressing this research gap. Air- and satellite-borne spectrometers at different levels could develop novel diversity measurements and alternati
The Use Of Remote Sensing In The Modeling Of Forest Productivity
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Author : H.L. Gholz
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
The Use Of Remote Sensing In The Modeling Of Forest Productivity written by H.L. Gholz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
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.
Macroecological Predictions Of Global Biodiversity From Remote Sensing Metrics
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Author : Marie-Bé Leduc
language : en
Publisher:
Release Date : 2019
Macroecological Predictions Of Global Biodiversity From Remote Sensing Metrics written by Marie-Bé Leduc and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Rapid biodiversity change at a global scale requires enhanced monitoring tools to predict how shifting environmental conditions might alter species' extinction risk. Emerging remote sensing tools are essential to these efforts and provide the sole mechanism to detect environmental changes and their potential consequences for biodiversity rapidly. Here, I assess the extent to which remote sensing measurements predict species richness globally and within regions, facilitating the establishment of a single framework for monitoring diversity worldwide. I assembled global remote sensing metrics and data on diversity gradients to construct and cross-validate models predicting species richness of birds and mammals within and among the world's biogeographic zones. Enhanced vegetation Index (EVI), land surface temperature (LST), the first principal component of habitat heterogeneity, and an interaction between energy and habitat heterogeneity are important remotely-sensed environmental measurements for predicting trends of species richness of birds and mammals at all scales, although the intensity of the relationship differs between groups and grain sizes. However, a global model does not explain differences in species richness of birds between distinct zoogeographical realms, indicating a possible threshold in biodiversity change prediction before onset of novel environmental conditions. Measuring potential nonlinear changes in species richness is a useful application of the essential biodiversity variables (EBV) framework for operational monitoring of global and regional biodiversity. The continued production of reliable and consistent remote sensing will facilitate further exploration of current and upcoming drivers of biodiversity change and will help improve macroecological models.
Hyperspectral Remote Sensing Of Tropical And Sub Tropical Forests
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Author : Margaret Kalacska
language : en
Publisher: CRC Press
Release Date : 2008-02-26
Hyperspectral Remote Sensing Of Tropical And Sub Tropical Forests written by Margaret Kalacska and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-26 with Nature categories.
While frequently used in temperate environments, hyperspectral sensors and data are still a novelty in the tropics. Exploring the potential of hyperspectral remote sensing for assessing ecosystem characteristics, Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests focuses on the complex and unique set of challenges involved in using t
Multi Source Remote Sensing Data For Automated Extraction Of Fine Scale Attributes In A Northern Hardwood Forest
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Author : Jian Yang
language : en
Publisher:
Release Date : 2017
Multi Source Remote Sensing Data For Automated Extraction Of Fine Scale Attributes In A Northern Hardwood Forest written by Jian Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
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.
Habitat Suitability And Distribution Models
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Author : Antoine Guisan
language : en
Publisher: Cambridge University Press
Release Date : 2017-09-14
Habitat Suitability And Distribution Models written by Antoine Guisan and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-14 with Computers categories.
This book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www.unil.ch/hsdm contains the codes and supporting material required to run the examples and teach courses.
3d Remote Sensing Applications In Forest Ecology
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Author : Hooman Latifi
language : en
Publisher: MDPI
Release Date : 2019-11-19
3d Remote Sensing Applications In Forest Ecology written by Hooman Latifi and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-19 with Science categories.
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.