Remote Sensing for Natural Ecosystems, Agriculture, and Hydrology, Solange Uwera
Автор: Prasad S. Thenkabail Название: Hyperspectral remote sensing of vegetation / ISBN: 1138066257 ISBN-13(EAN): 9781138066250 Издательство: Taylor&Francis Рейтинг: Цена: 76560.00 р. Наличие на складе: Нет в наличии.
Описание: The second edition includes extensive discussions on data processing and how to implement data processing mechanisms in a standard, fast, and efficient manner. Written by global experts, each chapter focuses on specific applications, reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for data usage.
Автор: Dong Название: Lidar Remote Sensing And Applicatio ISBN: 1482243016 ISBN-13(EAN): 9781482243017 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the fundamentals of LiDAR (Light Ranging and Detection) remote sensing, LiDAR data processing and analysis methods and applications of LiDAR in forestry and vegetation mapping, urban environments, geosciences, natural hazards mapping and archaeological survey.
Название: Remote Sensing of Coastal Environments ISBN: 1138116386 ISBN-13(EAN): 9781138116382 Издательство: Taylor&Francis Рейтинг: Цена: 11789.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Edited by a PECASE award recipient, this book provides unrivaled coverage of the issues unique to coastal environments. It presents the best available data for measuring and monitoring coastal zones and explains how to use this data to address current issues in coastal zone management.
Автор: Ian P. Williamson, Abbas Rajabifard, Mary-Ellen F. Feeney Название: Developing Spatial Data Infrastructures: From Concept to Reality ISBN: 1138372501 ISBN-13(EAN): 9781138372504 Издательство: Taylor&Francis Рейтинг: Цена: 9645.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Expert perspectives on SDI theory and practice
The spatial data infrastructure (SDI) concept continues to evolve and become an increasingly important element of the infrastructure that supports economic development, environmental management, and social stability. Because of its dynamic and complex nature, however, it remains a fuzzy concept to many, and depending on their needs and circumstances, practitioners, researchers, and governments adopt different views of it. Developing Spatial Data Infrastructures: from Concept to Reality makes a timely contribution to the theory and practice of SDIs and breaks new ground in improving understanding of their relevance and value. It provides expert overviews of policies, concepts, standards, and practices associated with the design, implementation, and operation of SDIs. It introduces the concept of an SDI Hierarchy based on Hierarchical Spatial Reasoning, sets out the similarities and differences between SDIs operating within and between different jurisdictions, and identifies factors key to the success of SDI initiatives. Built on key contributions to the International Symposium on Spatial Data Infrastructure held in Melbourne in November 2001, this book is the first of its kind to provide address both the theoretical and practical aspects of developing appropriate SDIs. It offers unique, detailed discussions on the challenges and direction of future SDI development and thus provides an outstanding resource for those involved in building and maintaining SDIs and for GIS professionals and students.
Автор: Nicolas, Baghdadi Название: Land Surfaces Remote Sensing in Agriculture and Forest ISBN: 1785481037 ISBN-13(EAN): 9781785481031 Издательство: Elsevier Science Рейтинг: Цена: 19201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Manolakis Название: Hyperspectral Imaging Remote Sensing ISBN: 1107083664 ISBN-13(EAN): 9781107083660 Издательство: Cambridge Academ Рейтинг: Цена: 12989.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Understand the principles, techniques and tools of imaging spectroscopy with this introductory guide providing comprehensive coverage of sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. It explains how to apply algorithms to practical problems and interpret hyperspectral imaging data.
Описание: This book sheds new light on the remote sensing of agriculture in South/Southeast Asian (S/SEA) countries. S/SEA countries are growing rapidly in terms of population, industrialization, and urbanization. One of the critical challenges in the region is food security. In S/SEA, although total food production and productivity have increased in previous decades, in recent years, the growth rate of food production has slowed down, mostly due to land use change, market forces and policy interventions. Further, the weather and climate systems in the region driven primarily by monsoon variability are resulting in droughts or flooding, impacting agricultural production. Therefore, monitoring crops, including agricultural land cover changes at regular intervals, is essential to predict and prepare for disruptions in the food supply in the S/SEA countries. The current book captures the latest research on the remote sensing of agricultural land cover/ land use changes, including mapping and monitoring crops, crop yields, biophysical parameter retrievals, multi-source data fusion for agricultural applications, and chapters on decision making and early warning systems for food security. The authors of this book are international experts in the field, and their contributions highlight the use of remote sensing and geospatial technologies for agricultural research and applications in South/Southeast Asia.
Описание: Satellite remote sensing captures invaluable information for conservation. This book presents case studies across varying ecosystems where conservation practitioners have successfully utilised remote sensing to inform management decisions. It highlights lessons learned, enabling readers to benefit from first hand commentary and experience.
Описание: This volume discusses the use of hyperspectral data in numerous applications such as forest management, precision farming, monitoring invasive species, local to global land cover change detection, crop yield modeling and crop moisture assessment. Also emphasizes the importance of hyperspectral remote sensing tools for studying vegetation.
Описание: This book discusses both the strengths and the limitations of the topics covered: (a) hyperspectral processes, (b) sensors, and (c) data analysis. Each chapter reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in study of vegetation and its numerous applications.
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