Estimation And Modeling Of Selected Forest Metrics With Lidar And Landsat
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Author | : Dimitris Zianis |
Publisher | : |
Total Pages | : 70 |
Release | : 2005 |
Genre | : Biomass energy |
ISBN | : |
A review of stem volume and biomass equations for tree species growing in Europe is presented. The mathematical forms of the empirical models, the associated statistical parameters and information about the size of the trees and the country of origin were collated from scientific articles and from technical reports. The collected information provides a basic tool for estimation of carbon stocks and nutrient balance of forest ecosystems across Europe as well as for validation of theoretical models of biomass allocation.
Author | : Cloud Publications |
Publisher | : Cloud Publications |
Total Pages | : 3465 |
Release | : 2012-01-01 |
Genre | : Science |
ISBN | : |
International Journal of Advanced Remote Sensing and GIS (IJARSG, ISSN 2320 – 0243) is an open-access peer-reviewed scholarly journal publishes original research papers, reviews, case study, case reports, and methodology articles in all aspects of Remote Sensing and GIS including associated fields. This Journal commits to working for quality and transparency in its publishing by following standard Publication Ethics and Policies.
Author | : Matti Maltamo |
Publisher | : Springer Science & Business Media |
Total Pages | : 460 |
Release | : 2014-04-08 |
Genre | : Technology & Engineering |
ISBN | : 9401786631 |
Airborne laser scanning (ALS) has emerged as one of the most promising remote sensing technologies to provide data for research and operational applications in a wide range of disciplines related to management of forest ecosystems. This book provides a comprehensive, state-of-the-art review of the research and application of ALS in a broad range of forest-related disciplines, especially forest inventory and forest ecology. However, this book is more than just a collection of individual contributions – it consists of a well-composed blend of chapters dealing with fundamental methodological issues and contributions reviewing and illustrating the use of ALS within various domains of application. The reviews provide a comprehensive and unique overview of recent research and applications that researchers, students and practitioners in forest remote sensing and forest ecosystem assessment should consider as a useful reference text.
Author | : Ecological Stratification Working Group (Canada) |
Publisher | : Centre for Land and Biological Resources Research ; Hull, Quebec : State of the Environment Directorate |
Total Pages | : 140 |
Release | : 1996 |
Genre | : Nature |
ISBN | : |
[An] expanded attribute database [that] includes attribute data for the ecoprovince level of generalization.
Author | : Erkki Tomppo |
Publisher | : Springer Science & Business Media |
Total Pages | : 614 |
Release | : 2009-12-02 |
Genre | : Technology & Engineering |
ISBN | : 9048132339 |
Forest inventories throughout the world have evolved gradually over time. The content as well as the concepts and de?nitions employed are constantly adapted to the users’ needs. Advanced inventory systems have been established in many countries within Europe, as well as outside Europe, as a result of development work spanning several decades, in some cases more than 100 years. With continuously increasing international agreements and commitments, the need for information has also grown drastically, and reporting requests have become more frequent and the content of the reports wider. Some of the agreements made at the international level have direct impacts on national economies and international decisions, e. g. , the Kyoto Protocol. Thus it is of utmost importance that the forest information supplied is collected and analysed using sound scienti?c principles and that the information from different countries is comparable. European National Forest Inventory (NFI) teams gathered in Vienna in 2003 to discuss the new challenges and the measures needed to get data users to take full advantage of existing NFIs. As a result, the European National Forest Inventory Network (ENFIN), a network of NFIs, was established. The ENFIN members decided to apply for funding for meetings and collaborative activities. COST– European Cooperation in Science and Technology - provided the necessary ?n- cial means for the realization of the program.
Author | : Girish Chandra |
Publisher | : Springer Nature |
Total Pages | : 290 |
Release | : 2020-01-04 |
Genre | : Medical |
ISBN | : 9811514763 |
This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.
Author | : Hisham El-Amir |
Publisher | : Apress |
Total Pages | : 563 |
Release | : 2019-12-20 |
Genre | : Computers |
ISBN | : 1484253493 |
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.
Author | : Barry Wilson |
Publisher | : Frontiers Media SA |
Total Pages | : 198 |
Release | : 2023-04-17 |
Genre | : Science |
ISBN | : 2832516475 |
Author | : Shunlin Liang |
Publisher | : Elsevier |
Total Pages | : 3183 |
Release | : 2017-11-08 |
Genre | : Science |
ISBN | : 0128032219 |
Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding
Author | : Gherardo Chirici |
Publisher | : Springer Science & Business Media |
Total Pages | : 221 |
Release | : 2011-01-04 |
Genre | : Technology & Engineering |
ISBN | : 9400704828 |
Forest biodiversity is crucial to the ecological, economic, and social well-being of earth’s civilisations. Unfortunately, however, forest biodiversity is threatened to a serious degree in nearly all countries. Therefore, many countries have agreed to be parties to international agreements focused on maintaining, restoring, and monitoring biodiversity; further, these countries have agreed to report to international bodies on forest biodiversity status and trends. NFIs are the primary source of large-scale information available for this purpose, but the large variety of definitions, protocols, sampling designs, and plot configurations used by NFIs makes comparable international reporting extremely difficult. This book presents the results of Working Group 3 of COST Action E43 in the development of harmonization techniques for common reporting of estimates of forest biodiversity indicators using NFI data. Harmonization tests were carried out on a large common data base containing raw NFI data from 13 European countries and the USA. With its collection of practical examples for the estimation of forest biodiversity indicators, it's a practical tool for anyone involved in forest inventories and in forest resource monitoring and management as well as for those involved in biodiversity assessment and reporting.