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| Author | : Joanne White |
| Publisher | : |
| Total Pages | : |
| Release | : 2013-06 |
| Genre | : Forest surveys |
| ISBN | : 9781100223858 |
| Author | : Joanne White |
| Publisher | : |
| Total Pages | : 39 |
| Release | : 2013 |
| Genre | : Forest surveys |
| ISBN | : 9781100223865 |
| Author | : Joanne White |
| Publisher | : |
| Total Pages | : 38 |
| Release | : 2017 |
| Genre | : Forest surveys |
| ISBN | : 9780660097381 |
"In 2013, the Canadian Forest Service, Natural Resources Canada, released a best practices guide for generating forest inventory attributes from airborne laser scanning (ALS) data. In this subsequent guide, we offer practical and relevant recommendations specific to the modelling and mapping of key forestry attributes. Our intended audience is the forest inventory or geomatics professional (or student) who is seeking to better understand the mechanics of implementing an inventory that incorporates ALS data. The additional detail provided in this document is intended to be complementary to the more general overview provided in the best practices guide. In combination, these two documents offer comprehensive guidelines for generating a forest inventory using ALS data and an area-based approach"--Summary, p. vi.
| Author | : Prasad Thenkabail |
| Publisher | : CRC Press |
| Total Pages | : 2304 |
| Release | : 2018-10-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1482282674 |
A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies 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 Land Reso
| Author | : Ph.D., Prasad S. Thenkabail |
| Publisher | : CRC Press |
| Total Pages | : 869 |
| Release | : 2015-10-02 |
| Genre | : Technology & Engineering |
| ISBN | : 1482217988 |
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 Remo
| 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 | : Igor Ivan |
| Publisher | : Springer |
| Total Pages | : 418 |
| Release | : 2016-10-14 |
| Genre | : Science |
| ISBN | : 3319451235 |
This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16–18, 2016. Combining theoretical papers and applications by authors from around the globe, it summarises the latest research findings in the area of big spatial data and key problems related to its utilisation. Welcome to dawn of the big data era: though it’s in sight, it isn’t quite here yet. Big spatial data is characterised by three main features: volume beyond the limit of usual geo-processing, velocity higher than that available using conventional processes, and variety, combining more diverse geodata sources than usual. The popular term denotes a situation in which one or more of these key properties reaches a point at which traditional methods for geodata collection, storage, processing, control, analysis, modelling, validation and visualisation fail to provide effective solutions. >Entering the era of big spatial data calls for finding solutions that address all “small data” issues that soon create “big data” troubles. Resilience for big spatial data means solving the heterogeneity of spatial data sources (in topics, purpose, completeness, guarantee, licensing, coverage etc.), large volumes (from gigabytes to terabytes and more), undue complexity of geo-applications and systems (i.e. combination of standalone applications with web services, mobile platforms and sensor networks), neglected automation of geodata preparation (i.e. harmonisation, fusion), insufficient control of geodata collection and distribution processes (i.e. scarcity and poor quality of metadata and metadata systems), limited analytical tool capacity (i.e. domination of traditional causal-driven analysis), low visual system performance, inefficient knowledge-discovery techniques (for transformation of vast amounts of information into tiny and essential outputs) and much more. These trends are accelerating as sensors become more ubiquitous around the world.
| Author | : Gintautas Mozgeris |
| Publisher | : MDPI |
| Total Pages | : 296 |
| Release | : 2021-06-02 |
| Genre | : Science |
| ISBN | : 3036509828 |
The great potential of remote sensing technologies for operational use in sustainable forest management is addressed in this book, which is the reprint of papers published in the Remote Sensing Special Issue “Operationalization of Remote Sensing Solutions for Sustainable Forest Management”. The studies come from three continents and cover multiple remote sensing systems (including terrestrial mobile laser scanning, unmanned aerial vehicles, airborne laser scanning, and satellite data acquisition) and a diversity of data processing algorithms, with a focus on machine learning approaches. The focus of the studies ranges from identification and characterization of individual trees to deriving national- or even continental-level forest attributes and maps. There are studies carefully describing exercises on the case study level, and there are also studies introducing new methodologies for transdisciplinary remote sensing applications. Even though most of the authors look forward to continuing their research, nearly all studies introduced are ready for operational use or have already been implemented in practical forestry.
| Author | : Claude Vidal |
| Publisher | : Springer |
| Total Pages | : 847 |
| Release | : 2016-11-24 |
| Genre | : Technology & Engineering |
| ISBN | : 3319440152 |
The book presents the current state and good practices of national forest inventories in monitoring wood resources and demonstrates pathways for harmonisation and improved common reporting. Beyond a general overview over availability and use of wood resources in different countries, it provides a unique collection of original contributions from national forest inventory experts with in-depth descriptions of current NFI methods in assessing wood availability and wood use in European countries, and selected countries from America and Asia.The main topics are national definitions and improvements in common reporting of forests available for wood supply, stem quality and assortments, estimation of change including growth and drain, and tree resources outside forest land. The book is a must-have for everyone who is contributing to national forest inventories either methodologically or operatively, for people who want or need to understand national forest inventory provided data and information on the availability of wood resources. By providing profound knowledge it is a valuable basis for scientists involved in scenario modelling and analysing effects of climate change, as well as individuals in private organisations and public administrations promoting the sustainable use of natural resources and the potential of green economy.
| Author | : Nicolas Baghdadi |
| Publisher | : Elsevier |
| Total Pages | : 498 |
| Release | : 2016-09-15 |
| Genre | : Science |
| ISBN | : 0081011830 |
The environmental and economic importance of monitoring forests and agricultural resources has allowed remote sensing to be increasingly in the development of products and services responding to user needs.This volume presents the main applications in remote sensing for agriculture and forestry, including the primary soil properties, the estimation of the vegetation’s biophysical variables, methods for mapping land cover, the contribution of remote sensing for crop and water monitoring, and the estimation of the forest cover properties (cover dynamic, height, biomass).This book, part of a set of six volumes, has been produced by scientists who are internationally renowned in their fields. It is addressed to students (engineers, Masters, PhD), engineers and scientists, specialists in remote sensing applied to agriculture and forestry.Through this pedagogical work, the authors contribute to breaking down the barriers that hinder the use of radar imaging techniques. Provides clear and concise descriptions of modern remote sensing methods Explores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applications Provides chapters on physical principles, measurement, and data processing for each technique described Describes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made
