Download or read book Assessment of Forest Canopy Vertical Structure with Multi scale Remote Sensing written by Phillip Thomas Vivian Wilkes and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 2003-04-30 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of contents
Download or read book Accuracy Assessment of Percent Canopy Cover Cover Type and Size Class written by Hans T. Schreuder and published by . This book was released on 2003 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Truth for vegetation cover percent and type is obtained from very large-scale photography (VLSP), stand structure as measured by size classes, and vegetation types from a combination of VLSP and ground sampling. We recommend using the Kappa statistic with bootstrap confidence intervals for overall accuracy, and similarly bootstrap confidence intervals for percent correct for each category and user and producer accuracy. A procedure is given for mapped plots to be assessed as being partially or totally correct. We recommend the use of primary accuracy for management decisions and secondary accuracy for research decisions to distinguish between accuracy desired.
Download or read book Saproxylic Insects written by Michael D. Ulyshen and published by Springer. This book was released on 2018-05-21 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers extensive information on insect life in dying and dead wood. Written and reviewed by leading experts from around the world, the twenty-five chapters included here provide the most global coverage possible and specifically address less-studied taxa and topics. An overarching goal of this work is to unite literature that has become fragmented along taxonomic and geographic lines. A particular effort was made to recognize the dominant roles that social insects (e.g., termites, ants and passalid beetles) play in saproxylic assemblages in many parts of the world without overlooking the non-social members of these communities. The book is divided into four parts: · Part I “Diversity” includes chapters addressing the major orders of saproxylic insects (Coleoptera, Diptera, Hymenoptera, Hemiptera, Lepidoptera and Blattodea), broadly organized in decreasing order of estimated global saproxylic diversity. In addition to order-level treatments, some chapters in this part discuss groups of particular interest, including pollinators, hymenopteran parasitoids, ants, stag and passalid beetles, and wood-feeding termites. · Part II “Ecology” discusses insect-fungal and insect-insect interactions, nutritional ecology, dispersal, seasonality, and vertical stratification. · Part III “Conservation” focuses on the importance of primary forests for saproxylic insects, offers recommendations for conserving these organisms in managed forests, discusses the relationships between saproxylic insects and fire, and addresses the value of tree hollows and highly-decomposed wood for saproxylic insects. Utilization of non-native wood by saproxylic insects and the suitability of urban environments for these organisms are also covered. · Lastly, Part IV “Methodological Advancements” highlights molecular tools for assessing saproxylic diversity. The book offers an accessible and insightful resource for natural historians of all kinds and will especially appeal to entomologists, ecologists, conservationists and foresters.
Download or read book Remote Sensing of Leaf Area Index LAI and Other Vegetation Parameters written by Francisco Javier García-Haro and published by MDPI. This book was released on 2019-09-16 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monitoring of vegetation structure and functioning is critical to modeling terrestrial ecosystems and energy cycles. In particular, leaf area index (LAI) is an important structural property of vegetation used in many land surface vegetation, climate, and crop production models. Canopy structure (LAI, fCover, plant height, and biomass) and biochemical parameters (leaf pigmentation and water content) directly influence the radiative transfer process of sunlight in vegetation, determining the amount of radiation measured by passive sensors in the visible and infrared portions of the electromagnetic spectrum. Optical remote sensing (RS) methods build relationships exploiting in situ measurements and/or as outputs of physical canopy radiative transfer models. The increased availability of passive (radar and LiDAR) RS data has fostered their use in many applications for the analysis of land surface properties and processes, thanks also to their insensitivity to weather conditions and the capability to exploit rich structural and textural information. Data fusion and multi-sensor integration techniques are pressing topics to fully exploit the information conveyed by both optical and microwave bands.
Download or read book Fine scale Multidimensional Spatial Patterns of Forest Canopy Structure Derived from Remotely Sensed and Simulated Datasets written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Forests are not simply storehouses of timber or wood fibre for human consumption and economic development. They represent structurally and ecologically rich habitat for an estimated 40 percent of the earth's extant species, and form the functional interface between the biosphere and atmosphere for some 27 percent of the earth's terrestrial surface. Forests, therefore, play a vital role in the maintenance of biodiversity and the regulation of local to global scale ecosystem processes and functions. Present strategies for conserving biodiversity in managed forests are based on the notion that maintaining the full range of structural conditions historically present in natural forests is the best approach for assuring the long-term persistence of a broad range of native species. The overarching goal of this dissertation is to contribute to the development of novel forest measurements that are relevant to organisms and ecosystems, and much needed by forest scientists and managers to recognize and retain the key elements and patterns of forest structure that are crucial for the conservation of forest biodiversity. This study focuses explicitly on fine-spatial-scale, multidimensional patterns of forest canopy structure based on the assumption that the 'canopy' is the primary focal site of complex interactions between vegetation and the physical enviromnent. Two disparate remote sensing technologies-ground-based hemispherical (fisheye) canopy photography and airborne discrete-return LiDAR-are employed to characterize angular, vertical, and horizontal patterns of forest canopy structure. A quantitative technique is developed for precise measurements of gap fraction (P), element clumping (O), mean projection coefficient (G), and leaf area index (L) from sequences (sets) of black and white pixels extracted at specific view angles in digital fisheye photos. Results are compared with three other leading techniques and validated using well-documented simulated and real fisheye ph.
Download or read book Monitoring Forest Canopy Alteration Around the World with Digital Analysis of Landsat Imagery written by D. L. Williams and published by . This book was released on 1979 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multiscale Landscape Pattern Monitoring Using Remote Sensing written by and published by . This book was released on 2013 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: Department of Agriculture, restoration project supported by the Collaborative Forest Landscape Restoration Program (CFLRP). The objective of the 4FRI is to restore fire-adapted conditions on 2.4 million acres of ponderosa pine (Pinus ponderosa) spanning four National Forests. Robust monitoring techniques are needed to assess the impacts of landscape-scale management and progress toward desired conditions, and to facilitate adaptive management. Remotely sensed information was identified as a major source of pre- and post-treatment data useful for evaluating changes in horizontal forest structure (or landscape pattern) at multiple spatial and temporal scales. With sponsorship from the Remote Sensing Steering Committee, the Remote Sensing Applications Center developed and tested a workflow and methods for assessing and monitoring landscape pattern using high-resolution imagery. The workflow and methods, which are applicable to other forests, consist of 1) creating a tree/nontree patch map of the analysis area from high-resolution imagery, 2) dividing the patch map into sublandscapes and computing landscape pattern indices (LPIs) for each one, 3) assessing the accuracy of the LPIs and calibrating them, and 4) summarizing and analyzing the LPIs at multiple scales to track change through time. In addition to describing the workflow and methods, this report also provides a comprehensive discussion of special considerations for implementing a landscape pattern monitoring program for other large geographic areas.
Download or read book Multiscale Hydrologic Remote Sensing written by Ni-Bin Chang and published by CRC Press. This book was released on 2012-03-23 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiscale Hydrologic Remote Sensing: Perspectives and Applications integrates advances in hydrologic science and innovative remote sensing technologies. Raising the visibility of interdisciplinary research on water resources, it offers a suite of tools and platforms for investigating spatially and temporally continuous hydrological variables and p
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.
Download or read book La Selva written by Lucinda A. McDade and published by University of Chicago Press. This book was released on 1994-03-18 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abiotic environment and ecosystem processes; The plant community: Composition, dynamics, and life-history processes; The animal community; Plant-animal interactions; La selva's human environment.
Download or read book Deep Learning Pipeline written by Hisham El-Amir and published by Apress. This book was released on 2019-12-20 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets. You'll also develop a deep learning project by preparing data, choosing the model that fits that data, and debugging your model to get the best fit to data all using Tensorflow techniques. Enhance your skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution or entering a Kaggle contest, Deep Learning Pipeline is for you! What You'll LearnDevelop a deep learning project using dataStudy and apply various models to your dataDebug and troubleshoot the proper model suited for your data Who This Book Is For Developers, analysts, and data scientists looking to add to or enhance their existing skills by accessing some of the most powerful recent trends in data science. Prior experience in Python or other TensorFlow related languages and mathematics would be helpful.
Download or read book Alaska s Changing Boreal Forest written by F. Stuart Chapin and published by Oxford University Press. This book was released on 2006-01-12 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Boreal forest is the northern-most forest in the world, whose organisms and dynamics are shaped by low temperature and high latitude. The Alaskan Boreal forest is warming as rapidly as any place on earth, providing an opportunity to examine a biome as it adjusts to change. This book looks at this issue.
Download or read book Field Measurements for Forest Carbon Monitoring written by Coeli M Hoover and published by Springer Science & Business Media. This book was released on 2008-10-20 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the summer of 2003, a workshop was held in Portsmouth, NH, to discuss land measurement techniques for the North American Carbon Program. Over 40 sci- tists representing government agencies, academia and nonprofit research organi- tions located in Canada, the US and Mexico participated. During the course of the workshop a number of topics were discussed, with an emphasis on the following: • The need for an intermediate tier of carbon measurements. This level of study would be more extensive than state-level inventories of the US Forest Service Forest Inventory and Analysis Program, but less detailed than intensive ecos- tem studies sites such as those in Long Term Ecological Research network. This tier would ideally provide a basis to link and scale remote sensing measurements and inventory data, and supply data required to parameterize existing models (see Wofsy and Harriss 2002, Denning et al. 2005). • The design criteria that such a network of sites should meet. The network and s- pling design should be standardized, but flexible enough to be applied across North America. The design also needs to be efficient enough to be implemented without the need for large field crews, yet robust enough to provide useful information. Finally, the spatial scale must permit easy linkage to remotely sensed data. • The key variables that should be measured at each site, and the frequency of measurement.
Download or read book Hierarchical Modeling and Inference in Ecology written by J. Andrew Royle and published by Elsevier. This book was released on 2008-10-15 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS Computing support in technical appendices in an online companion web site
Download or read book Spatial Information for Land Use Management written by Michael J. Hill and published by CRC Press. This book was released on 2000-11-17 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographic Information Systems (GIS), Remote Sensing, and environmental modelling are increasingly being used to address land use and land use management issues although much of the development in these applications is based in specific case studies that are not readily accessible to a wide audience. Spatial Information for Land Use Management is d
Download or read book Urban High Resolution Remote Sensing written by Guoqing Zhou and published by CRC Press. This book was released on 2020-12-22 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: With urbanization as a global phenomenon, there is a need for data and information about these terrains. Urban remote sensing techniques provide critical physical input and intelligence for preparing base maps, formulating planning proposals, and monitoring implementations. Likewise these methodologies help with understanding the biophysical properties, patterns, and process of urban landscapes, as well as mapping and monitoring urban land cover and spatial extent. Advanced sensor technologies and image processing methodologies such as deep learning, data mining, etc., facilitate the wide applications of remote sensing technology in urban areas. This book presents advanced image processing methods and algorithms focused on three very important roots of urban remote sensing: 3D urban modelling using different remotely sensed data, urban orthophotomap generation, and urban feature extraction, which are also today’s real challenges in high resolution remote sensing. Data generated by remote sensing, with its repetitive and synoptic viewing and multispectral capabilities, constitutes a powerful tool for mapping and monitoring emerging changes in the city's urban core, as well as in peripheral areas. Features: Provides advances in emerging methods and algorithms in image processing and technology Uses algorithms and methodologies for handling high-resolution imagery from a ground sampling distance (GSD) less than 1.0 meter Focuses on 3D urban modelling, orthorectification methodologies, and urban feature extraction algorithms from high-resolution remotely sensed imagery Demonstrates how to apply up-to-date techniques to the problems identified and how to analyze research results Presents methods and algorithms for monitoring, analyzing, and modeling urban growth, urban planning, and socio-economic developments In this book, readers are provided with valuable research studies and applications-oriented chapters in areas such as urban trees, soil moisture mapping, city transportation, urban remote sensing big data, etc.
