Deep Learning With C Net And Kelpnet

Download Deep Learning With C Net And Kelpnet full books in PDF, epub, and Kindle. Read online Deep Learning With C Net And Kelpnet ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Deep Learning with C#, .Net and Kelp.Net

Author : Cole Matt R.
Publisher : BPB Publications
ISBN 13 : 9389423740
Total Pages : 388 pages
Book Rating : 4.3/5 (894 download)

DOWNLOAD NOW!

Book Synopsis Deep Learning with C#, .Net and Kelp.Net by : Cole Matt R.

Download or read book Deep Learning with C#, .Net and Kelp.Net written by Cole Matt R. and published by BPB Publications. This book was released on 2019-09-20 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get hands on with Kelp.Net, Microsoft's latest Deep Learning frameworkKey features Deep Learning Basics The ultimate Kelp.Net reference guide Develop state of the art deep learning applications C# deep learning code Develop advanced deep learning models with minimal code Develop your own advanced deep learning models Loading and Saving Deep Learning Models Comprehensive Kelp.Net reference Sample Deep Learning Models and Tests penCL Reference Easily add deep learning to your applications Many sample models and tests Intuitive and user friendly Description Deep Learning with Kelp.Net is the ultimate reference for C# .Net developers who are passionate about deep learning. Readers will learn all the skills necessary to develop powerful, scalable and flexible deep learning models from a fluid and easy to use API. Upon completing the book the reader will have all the tools necessary to add powerful deep learning capabilities to their new or existing applications.What will you learn In-depth knowledge of Kelp.Net How to develop deep learning models C# deep learning programming Open-Computing Language (OpenCL) Loading and saving deep learning models How to develop and use activation functions How to test deep learning modelsWho this book is for This book targets C# .Net developers who are passionate about deep learning yet want to do so from an easy and intuitive API.Table of contents1. Introduction2. ML/DL Terms and Concepts3. Deep Instrumentation4. Kelp.Net Reference5. Loading and Saving Models6. Model Testing and Training7. Sample Deep Learning Tests8. Creating Your Own Deep Learning Tests9. Appendix A: Evaluation Metrics10. Appendix B: OpenCL About the authorMatt R. Cole is a seasoned developer and published author with over 30 years' experience in Microsoft Windows, C, C++, C# and .Net. Matt is the owner of Evolved AI Solutions, a premier provider of advanced Machine Learning/Bio-AI technologies. Matt developed the first enterprise grade MicroService framework written completely in C# and .Net, which is used in production by a major hedge fund in NYC. Matt also developed the first Bio Artificial Intelligence framework which completely integrates mirror and canonical neurons. He continues to push the limits of Machine Learning, Biological Artificial Intelligence, Deep Learning and MicroServices. In his spare time Matt loves to continue his education and contribute to open source efforts such as Kelp.Net. His Website: www.evolvedaisolutions.comHis LinkedIn Profile: https://www.linkedin.com/in/evolvedai/His Blog: https://evolvedaisolutions.com/blog.html

Island of the Blue Dolphins

Author : Scott O'Dell
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0395069629
Total Pages : 195 pages
Book Rating : 4.3/5 (95 download)

DOWNLOAD NOW!

Book Synopsis Island of the Blue Dolphins by : Scott O'Dell

Download or read book Island of the Blue Dolphins written by Scott O'Dell and published by Houghton Mifflin Harcourt. This book was released on 1960 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Far off the coast of California looms a harsh rock known as the island of San Nicholas. Dolphins flash in the blue waters around it, sea otter play in the vast kep beds, and sea elephants loll on the stony beaches. Here, in the early 1800s, according to history, an Indian girl spent eighteen years alone, and this beautifully written novel is her story. It is a romantic adventure filled with drama and heartache, for not only was mere subsistence on so desolate a spot a near miracle, but Karana had to contend with the ferocious pack of wild dogs that had killed her younger brother, constantly guard against the Aleutian sea otter hunters, and maintain a precarious food supply. More than this, it is an adventure of the spirit that will haunt the reader long after the book has been put down. Karana's quiet courage, her Indian self-reliance and acceptance of fate, transform what to many would have been a devastating ordeal into an uplifting experience. From loneliness and terror come strength and serenity in this Newbery Medal-winning classic.

Mobile Artificial Intelligence Projects

Author : Karthikeyan NG
Publisher : Packt Publishing Ltd
ISBN 13 : 1789347041
Total Pages : 303 pages
Book Rating : 4.7/5 (893 download)

DOWNLOAD NOW!

Book Synopsis Mobile Artificial Intelligence Projects by : Karthikeyan NG

Download or read book Mobile Artificial Intelligence Projects written by Karthikeyan NG and published by Packt Publishing Ltd. This book was released on 2019-03-30 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorch Key FeaturesBuild practical, real-world AI projects on Android and iOSImplement tasks such as recognizing handwritten digits, sentiment analysis, and moreExplore the core functions of machine learning, deep learning, and mobile visionBook Description We’re witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision. This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms. By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users. What you will learnExplore the concepts and fundamentals of AI, deep learning, and neural networksImplement use cases for machine vision and natural language processingBuild an ML model to predict car damage using TensorFlowDeploy TensorFlow on mobile to convert speech to textImplement GAN to recognize hand-written digitsDevelop end-to-end mobile applications that use AI principlesWork with popular libraries, such as TensorFlow Lite, CoreML, and PyTorchWho this book is for Mobile Artificial Intelligence Projects is for machine learning professionals, deep learning engineers, AI engineers, and software engineers who want to integrate AI technology into mobile-based platforms and applications. Sound knowledge of machine learning and experience with any programming language is all you need to get started with this book.

Hands-On Machine Learning with C#

Author : Matt R. Cole
Publisher : Packt Publishing
ISBN 13 : 9781788994941
Total Pages : 274 pages
Book Rating : 4.9/5 (949 download)

DOWNLOAD NOW!

Book Synopsis Hands-On Machine Learning with C# by : Matt R. Cole

Download or read book Hands-On Machine Learning with C# written by Matt R. Cole and published by Packt Publishing. This book was released on 2018-05-24 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore supervised and unsupervised learning techniques and add smart features to your applications Key Features Leverage machine learning techniques to build real-world applications Use the Accord.NET machine learning framework for reinforcement learning Implement machine learning techniques using Accord, nuML, and Encog Book Description The necessity for machine learning is everywhere, and most production enterprise applications are written in C# using tools such as Visual Studio, SQL Server, and Microsoft Azur2e. Hands-On Machine Learning with C# uniquely blends together an understanding of various machine learning concepts, techniques of machine learning, and various available machine learning tools through which users can add intelligent features.These tools include image and motion detection, Bayes intuition, and deep learning, to C# .NET applications. Using this book, you will learn to implement supervised and unsupervised learning algorithms and will be better equipped to create excellent predictive models. In addition, you will learn both supervised and unsupervised forms of regression, mainly logistic and linear regression, in depth. Next, you will use the nuML machine learning framework to learn how to create a simple decision tree. In the concluding chapters, you will use the Accord.Net machine learning framework to learn sequence recognition of handwritten numbers using dynamic time warping. We will also cover advanced concepts such as artificial neural networks, autoencoders, and reinforcement learning. By the end of this book, you will have developed a machine learning mindset and will be able to leverage C# tools, techniques, and packages to build smart, predictive, and real-world business applications. What you will learn Learn to parameterize a probabilistic problem Use Naive Bayes to visually plot and analyze data Plot a text-based representation of a decision tree using nuML Use the Accord.NET machine learning framework for associative rule-based learning Develop machine learning algorithms utilizing fuzzy logic Explore support vector machines for image recognition Understand dynamic time warping for sequence recognition Who this book is for Hands-On Machine Learning with C#is forC# .NETdevelopers who work on a range of platforms from .NET and Windows to mobile devices. Basic knowledge of statistics is required.

Ecosystems of California

Author : Harold Mooney
Publisher : Univ of California Press
ISBN 13 : 0520278801
Total Pages : 1008 pages
Book Rating : 4.5/5 (22 download)

DOWNLOAD NOW!

Book Synopsis Ecosystems of California by : Harold Mooney

Download or read book Ecosystems of California written by Harold Mooney and published by Univ of California Press. This book was released on 2016-01-19 with total page 1008 pages. Available in PDF, EPUB and Kindle. Book excerpt: This long-anticipated reference and sourcebook for CaliforniaÕs remarkable ecological abundance provides an integrated assessment of each major ecosystem typeÑits distribution, structure, function, and management. A comprehensive synthesis of our knowledge about this biologically diverse state, Ecosystems of California covers the state from oceans to mountaintops using multiple lenses: past and present, flora and fauna, aquatic and terrestrial, natural and managed. Each chapter evaluates natural processes for a specific ecosystem, describes drivers of change, and discusses how that ecosystem may be altered in the future. This book also explores the drivers of CaliforniaÕs ecological patterns and the history of the stateÕs various ecosystems, outlining how the challenges of climate change and invasive species and opportunities for regulation and stewardship could potentially affect the stateÕs ecosystems. The text explicitly incorporates both human impacts and conservation and restoration efforts and shows how ecosystems support human well-being. Edited by two esteemed ecosystem ecologists and with overviews by leading experts on each ecosystem, this definitive work will be indispensable for natural resource management and conservation professionals as well as for undergraduate or graduate students of CaliforniaÕs environment and curious naturalists.

Intelligent Algorithms in Software Engineering

Author : Radek Silhavy
Publisher : Springer Nature
ISBN 13 : 3030519651
Total Pages : 621 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Algorithms in Software Engineering by : Radek Silhavy

Download or read book Intelligent Algorithms in Software Engineering written by Radek Silhavy and published by Springer Nature. This book was released on 2020-08-08 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented.

Remote Sensing for Aquaculture

Author : Pierre Gernez
Publisher : Frontiers Media SA
ISBN 13 : 2889665623
Total Pages : 113 pages
Book Rating : 4.8/5 (896 download)

DOWNLOAD NOW!

Book Synopsis Remote Sensing for Aquaculture by : Pierre Gernez

Download or read book Remote Sensing for Aquaculture written by Pierre Gernez and published by Frontiers Media SA. This book was released on 2021-03-05 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Marine Metapopulations

Author : Jacob P. Kritzer
Publisher : Elsevier
ISBN 13 : 0080454712
Total Pages : 573 pages
Book Rating : 4.0/5 (84 download)

DOWNLOAD NOW!

Book Synopsis Marine Metapopulations by : Jacob P. Kritzer

Download or read book Marine Metapopulations written by Jacob P. Kritzer and published by Elsevier. This book was released on 2010-07-20 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological improvements have greatly increased the ability of marine scientists to collect and analyze data over large spatial scales, and the resultant insights attainable from interpreting those data vastly increase understanding of poplation dynamics, evolution and biogeography. Marine Metapopulations provides a synthesis of existing information and understanding, and frames the most important future directions and issues. - First book to systematically apply metapopulation theory directly to marine systems - Contributions from leading international ecologists and fisheries biologists - Perspectives on a broad array of marine organisms and ecosystems, from coastal estuaries to shallow reefs to deep-sea hydrothermal vents - Critical science for improved management of marine resources - Paves the way for future research on large-scale spatial ecology of marine systems

Bioactive Seaweeds for Food Applications

Author : Yimin Qin
Publisher : Academic Press
ISBN 13 : 0128133139
Total Pages : 322 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Bioactive Seaweeds for Food Applications by : Yimin Qin

Download or read book Bioactive Seaweeds for Food Applications written by Yimin Qin and published by Academic Press. This book was released on 2018-01-16 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioactive Seaweed Substances for Functional Food Applications: Natural Ingredients for Healthy Diets presents various types of bioactive seaweed substances and introduces their applications in functional food products. Presenting summaries of the substances derived from seaweed, this book systematically explores new ingredients and the bioactive substances that are both environmentally friendly and highly beneficial to human health. This evidence-based resource offers an abundance of information on the applications of seaweed as a solution to meet an increasing global demand for sustainable food sources. It is an essential reference for anyone involved in seaweed substance research, seaweed processing, and food and health disciplines. - Discusses the use of bioactive seaweed substances as a new class of food ingredients - Outlines the use of seaweed as gelling agents used for food restructuring, coating and encapsulation - Systematically explores new ingredients and the bioactive substances that are both environmentally friendly and highly beneficial to human health

Satellite Remote Sensing for Conservation Action

Author : Allison K. Leidner
Publisher : Cambridge University Press
ISBN 13 : 1316513866
Total Pages : 355 pages
Book Rating : 4.3/5 (165 download)

DOWNLOAD NOW!

Book Synopsis Satellite Remote Sensing for Conservation Action by : Allison K. Leidner

Download or read book Satellite Remote Sensing for Conservation Action written by Allison K. Leidner and published by Cambridge University Press. This book was released on 2018-08-16 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains how satellite remote sensing informs and helps deliver successful conservation management through case studies, which highlight practitioner experience.

Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests

Author : Margaret Kalacska
Publisher : CRC Press
ISBN 13 : 1000687511
Total Pages : 312 pages
Book Rating : 4.0/5 (6 download)

DOWNLOAD NOW!

Book Synopsis Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests by : Margaret Kalacska

Download or read book Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests written by Margaret Kalacska and published by CRC Press. This book was released on 2008-02-26 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Temporarily Open/closed Estuaries in South Africa

Author : R. Perissinotto
Publisher :
ISBN 13 : 9781616684129
Total Pages : 0 pages
Book Rating : 4.6/5 (841 download)

DOWNLOAD NOW!

Book Synopsis Temporarily Open/closed Estuaries in South Africa by : R. Perissinotto

Download or read book Temporarily Open/closed Estuaries in South Africa written by R. Perissinotto and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: South African temporarily open/closed estuaries (TOCEs) and similar systems along the coastlines of other regions of the world, especially Australia, are amongst the most productive aquatic ecosystems. They shift seasonally from mostly open mouth states during rainy seasons to mostly closed mouth states during the dry part of the year. This allows a whole range of juvenile forms of estuarine-dependent and estuarine-associated marine species to be recruited inside their sheltered and productive reaches, where they complete their growth to maturity. This book covers topics such as the structure and function of open/closed estuaries in South Africa, as well as outlining the future management decisions that need to be made in order to ensure the longevity of these productive ecosystems.

Math for Deep Learning

Author : Ronald T. Kneusel
Publisher : No Starch Press
ISBN 13 : 1718501900
Total Pages : 346 pages
Book Rating : 4.7/5 (185 download)

DOWNLOAD NOW!

Book Synopsis Math for Deep Learning by : Ronald T. Kneusel

Download or read book Math for Deep Learning written by Ronald T. Kneusel and published by No Starch Press. This book was released on 2021-12-07 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits. With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You’ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You’ll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network. In addition you’ll find coverage of gradient descent including variations commonly used by the deep learning community: SGD, Adam, RMSprop, and Adagrad/Adadelta.

Advanced Deep Learning with TensorFlow 2 and Keras

Author : Rowel Atienza
Publisher : Packt Publishing Ltd
ISBN 13 : 183882572X
Total Pages : 513 pages
Book Rating : 4.8/5 (388 download)

DOWNLOAD NOW!

Book Synopsis Advanced Deep Learning with TensorFlow 2 and Keras by : Rowel Atienza

Download or read book Advanced Deep Learning with TensorFlow 2 and Keras written by Rowel Atienza and published by Packt Publishing Ltd. This book was released on 2020-02-28 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and Keras Key FeaturesExplore the most advanced deep learning techniques that drive modern AI resultsNew coverage of unsupervised deep learning using mutual information, object detection, and semantic segmentationCompletely updated for TensorFlow 2.xBook Description Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNet), further allowing you to create your own cutting-edge AI projects. Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date techniques. Starting with an overview of multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), the book then introduces more cutting-edge techniques as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You will then learn about GANs, and how they can unlock new levels of AI performance. Next, you’ll discover how a variational autoencoder (VAE) is implemented, and how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans. You'll also learn to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI. What you will learnUse mutual information maximization techniques to perform unsupervised learningUse segmentation to identify the pixel-wise class of each object in an imageIdentify both the bounding box and class of objects in an image using object detectionLearn the building blocks for advanced techniques - MLPss, CNN, and RNNsUnderstand deep neural networks - including ResNet and DenseNetUnderstand and build autoregressive models – autoencoders, VAEs, and GANsDiscover and implement deep reinforcement learning methodsWho this book is for This is not an introductory book, so fluency with Python is required. The reader should also be familiar with some machine learning approaches, and practical experience with DL will also be helpful. Knowledge of Keras or TensorFlow 2.0 is not required but is recommended.

Advances in Construction Materials 2007

Author : Christian U. Grosse
Publisher : Springer Science & Business Media
ISBN 13 : 3540724486
Total Pages : 764 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!

Book Synopsis Advances in Construction Materials 2007 by : Christian U. Grosse

Download or read book Advances in Construction Materials 2007 written by Christian U. Grosse and published by Springer Science & Business Media. This book was released on 2007-08-14 with total page 764 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a compilation of recent research results on building construction materials. Civil Engineers and Materials Scientists from all over the world present their ideas for further material developments, the testing of structures and solutions for in situ applications. Many of the innovations, composites and the design of existing material mixes, especially for concrete, are discussed.

Mastering Git

Author : Jakub Narebski
Publisher : Packt Publishing Ltd
ISBN 13 : 1783553766
Total Pages : 418 pages
Book Rating : 4.7/5 (835 download)

DOWNLOAD NOW!

Book Synopsis Mastering Git by : Jakub Narebski

Download or read book Mastering Git written by Jakub Narebski and published by Packt Publishing Ltd. This book was released on 2016-04-21 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Attain expert-level proficiency with Git for enhanced productivity and efficient collaboration by mastering advanced distributed version control features About This Book Set up Git for solo and collaborative development Harness the full power of Git version control system to customize Git behavior, manipulate history, integrate external tools and explore platform shortcuts A detailed guide, which explains how to apply advanced Git techniques and workflows and ways to handle submodules Who This Book Is For If you are a Git user with reasonable knowledge of Git and familiarity with basic concepts such as branching, merging, staging, and workflows, this is the book for you. Basic knowledge of installing Git and software configuration management concepts is essential. What You Will Learn Explore project history, find revisions using different criteria, and filter and format how history looks Manage your working directory and staging area for commits and interactively create new revisions and amend them Set up repositories and branches for collaboration Submit your own contributions and integrate contributions from other developers via merging or rebasing Customize Git behavior system-wide, on a per-user, per-repository, and per-file basis Take up the administration and set up of Git repositories, configure access, find and recover from repository errors, and perform repository maintenance Chose a workflow and configure and set up support for the chosen workflow In Detail Git is one of the most popular types of Source Code Management (SCM) and Distributed Version Control System (DVCS). Despite the powerful and versatile nature of the tool enveloping strong support for nonlinear development and the ability to handle large projects efficiently, it is a complex tool and often regarded as “user-unfriendly”. Getting to know the ideas and concepts behind the architecture of Git will help you make full use of its power and understand its behavior. Learning the best practices and recommended workflows should help you to avoid problems and ensure trouble-free development. The book scope is meticulously designed to help you gain deeper insights into Git's architecture, its underlying concepts, behavior, and best practices. Mastering Git starts with a quick implementation example of using Git for a collaborative development of a sample project to establish the foundation knowledge of Git operational tasks and concepts. Furthermore, as you progress through the book, the tutorials provide detailed descriptions of various areas of usage: from archaeology, through managing your own work, to working with other developers. This book also helps augment your understanding to examine and explore project history, create and manage your contributions, set up repositories and branches for collaboration in centralized and distributed version control, integrate work from other developers, customize and extend Git, and recover from repository errors. By exploring advanced Git practices, you will attain a deeper understanding of Git's behavior, allowing you to customize and extend existing recipes and write your own. Style and approach Step-by-step instructions and useful information make this book the ultimate guide to understanding and mastering Git. This book will show road to mastery example by example, while explaining mental model of Git. The Introduction section covers the 'Essentials' just for refreshing the basics. The main highlight is that the concepts are based on HOW the technology/framework works and not just practical 'WHAT to do'.

A Blue Carbon Primer

Author : Lisamarie Windham-Myers
Publisher : CRC Press
ISBN 13 : 9781498769099
Total Pages : 480 pages
Book Rating : 4.7/5 (69 download)

DOWNLOAD NOW!

Book Synopsis A Blue Carbon Primer by : Lisamarie Windham-Myers

Download or read book A Blue Carbon Primer written by Lisamarie Windham-Myers and published by CRC Press. This book was released on 2018-09-15 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blue Carbon has emerged as a term that represents the distinctive carbon stocks and fluxes into or out of coastal wetlands such as marshes, mangroves, and seagrasses. The Blue Carbon concept has rapidly developed in science literature and is highly relevant politically, as nations and markets are developing blue carbon monitoring and management tools and policies. This book is a compendium of the state of the science, the state of maps and mapping protocols, and the state of policy incentives (including economic valuation of blue carbon), with additional sections on operationalizing blue carbon projects and case studies with global relevance.