Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Advanced applications in remote sensing of agricultural crops and natural vegetation, 


Варианты приобретения
Цена: 6736.00р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: Есть  
Deprecated: substr(): Passing null to parameter #1 ($string) of type string is deprecated in E:\WWW\html\prod_show.php on line 417

Deprecated: substr(): Passing null to parameter #1 ($string) of type string is deprecated in E:\WWW\html\prod_show.php on line 418

При оформлении заказа до:
Ориентировочная дата поставки:
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания


Название:  Advanced applications in remote sensing of agricultural crops and natural vegetation
ISBN: 9781032475875
Издательство: Taylor&Francis
Классификация:










ISBN-10: 1032475870
Обложка/Формат: Paperback
Страницы: 426
Вес: 0.99 кг.
Дата издания: 28.03.2023
Серия: Hyperspectral remote sensing of vegetation, second edition
Издание: 2 ed
Иллюстрации: 95 illustrations, color; 47 illustrations, black and white
Размер: 176 x 254 x 22
Рейтинг:
Поставляется из: Европейский союз
Описание: Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective.Key Features of Volume IV:Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation.Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and m
Дополнительное описание: Section I: Detecting Crop Management Practices, Plant Stress, and Disease 1. Using Hyperspectral Data in Precision Farming Applications 2. Hyperspectral Narrowbands and Their Indices in Study of Nitrogen Content of Cotton Crops 3. Analysis of the Effects



Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

Автор: Prasad S. Thenkabail, John G. Lyon, Alfredo Huete
Название: Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation
ISBN: 1138364762 ISBN-13(EAN): 9781138364769
Издательство: Taylor&Francis
Рейтинг:
Цена: 25265.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Biophysical and Biochemical Characterization and Plant Species Studies

Автор: Prasad S. Thenkabail, John G. Lyon, Alfredo Huete
Название: Biophysical and Biochemical Characterization and Plant Species Studies
ISBN: 1138364711 ISBN-13(EAN): 9781138364714
Издательство: Taylor&Francis
Рейтинг:
Цена: 25265.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessment. Includes extensive discussions on data processing mechanisms.

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation

Автор: Prasad S. Thenkabail, John G. Lyon, Alfredo Huete
Название: Hyperspectral Indices and Image Classifications for Agriculture and Vegetation
ISBN: 1138066036 ISBN-13(EAN): 9781138066038
Издательство: Taylor&Francis
Рейтинг:
Цена: 25265.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Evaluating the performance of various types of hyperspectral vegetation indices in characterizing agricultural crops, this volume discusses non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, forest leaf chlorophyll content, among other applications.

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation

Название: Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation
ISBN: 1138058548 ISBN-13(EAN): 9781138058545
Издательство: Taylor&Francis
Рейтинг:
Цена: 25265.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Hyperspectral remote sensing of vegetation /

Автор: Prasad S. Thenkabail
Название: Hyperspectral remote sensing of vegetation /
ISBN: 1138066257 ISBN-13(EAN): 9781138066250
Издательство: Taylor&Francis
Рейтинг:
Цена: 101059.00 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.

Remote sensing of global croplands for food security

Автор: Prasad Thenkabail et al
Название: Remote sensing of global croplands for food security
ISBN: 1138116556 ISBN-13(EAN): 9781138116559
Издательство: Taylor&Francis
Рейтинг:
Цена: 12401.00 р.
Наличие на складе: Нет в наличии.

Описание: A complete review of practical mapping technologies based on advanced remote sensing data and methods, this book provides approaches for estimating irrigated and rainfed cropland areas and their water use on a national, continental, or global basis. It offers case studies from a variety of continents highlighting the subtle requirements of each.

Precision agriculture technology for crop farming

Название: Precision agriculture technology for crop farming
ISBN: 1482251078 ISBN-13(EAN): 9781482251074
Издательство: Taylor&Francis
Рейтинг:
Цена: 29093.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Explores the Sustainable Development of Agriculture in Technology

Precision agriculture technology, when properly integrated into the crop production process, can greatly improve overall production and sustainability. Precision Agriculture Technology for Crop Farming focuses on the technology of site-specific crop management; detailing applications for sensing, data handling, modeling, and control. Written by experts who have contributed significantly to the development of precision agriculture technology, this book reviews its history--establishing background on the various processes and applications--describes the current status, and offers insight into the future technology of precision agriculture.

Introducing processes and applications based on a global scale, the book reveals how precision agriculture can be used in large-scale agriculture, community agriculture, and diversified farming. It includes site-specific information from a variety of information sources for planning, planting, growing, and harvesting agricultural crops. It also presents a new concept based on the control system theory that can be used to formulate systematic methods for more effective precision crop production.

In addition, this author:

  • Describes yield monitors and guidance systems, GPS-based soil sampling, real-time crop and soil sensors, and remote sensing
  • Evaluates a Japanese model of community-based precision agriculture aimed at high profitability and reliability under regional and environmental constraints
  • Highlights autonomous vehicles, field robots, and other intelligent machinery, emerging developments, and future technology in the field of production agriculture

Precision Agriculture Technology for Crop Farming provides an overview of precision agriculture technology development, discusses current and future considerations, and aims to facilitate the successful integration of precision agriculture technology.

Remote Sensing of Drought

Название: Remote Sensing of Drought
ISBN: 1138075205 ISBN-13(EAN): 9781138075207
Издательство: Taylor&Francis
Рейтинг:
Цена: 13320.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Remote Sensing of Drought: Innovative Monitoring Approaches presents emerging remote sensing-based tools and techniques that can be applied to operational drought monitoring and early warning around the world. The first book to focus on remote sensing and drought monitoring, it brings together a wealth of information that has been scattered throughout the literature and across many disciplines. Featuring contributions by leading scientists, it assembles a cross-section of globally applicable techniques that are currently operational or have potential to be operational in the near future.

The book explores a range of applications for monitoring four critical components of the hydrological cycle related to drought: vegetation health, evapotranspiration, soil moisture and groundwater, and precipitation. These applications use remotely sensed optical, thermal, microwave, radar, and gravity data from instruments such as AMSR-E, GOES, GRACE, MERIS, MODIS, and Landsat and implement several advanced modeling and data assimilation techniques. Examples show how to integrate this information into routine drought products. The book also examines the role of satellite remote sensing within traditional drought monitoring, as well as current challenges and future prospects.

Improving drought monitoring is becoming increasingly important in addressing a wide range of societal issues, from food security and water scarcity to human health, ecosystem services, and energy production. This unique book surveys innovative remote sensing approaches to provide you with new perspectives on large-area drought monitoring and early warning.

Photon-Vegetation Interactions

Автор: Ranga B. Myneni; Juhan Ross
Название: Photon-Vegetation Interactions
ISBN: 3642753914 ISBN-13(EAN): 9783642753916
Издательство: Springer
Рейтинг:
Цена: 15957.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Photon-Vegetation Interactions deals with the interaction of electromagnetic radiation with vegetation canopies.

Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales

Автор: Genesis T. Yengoh; David Dent; Lennart Olsson; Ann
Название: Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales
ISBN: 3319241109 ISBN-13(EAN): 9783319241104
Издательство: Springer
Рейтинг:
Цена: 6839.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This report examines the scientific basis for the use of remotely sensed data, particularly Normalized Difference Vegetation Index (NDVI), primarily for the assessment of land degradation at different scales and for a range of applications, including resilience of agro-ecosystems.

Remote Sensing of Vegetation

Автор: Christian Julian B?dinger
Название: Remote Sensing of Vegetation
ISBN: 3658251190 ISBN-13(EAN): 9783658251192
Издательство: Springer
Рейтинг:
Цена: 6097.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: How is the vegetation distribution influencing the erosion and surface formation in the different eco zones of Chile? To answer this question, it is mandatory to possess fundamental knowledge about plant species habitats, occurrence and their dynamics. In his study Christian B?dinger utilizes satellite imagery in combination with machine learning to derive maps of land use and land cover (LULC) in four study sites along a climatic gradient and to monitor vegetation using monthly Normalized Difference Vegetation Index (NDVI) time series. The findings contribute to a better understanding of climate impacts on Chilean vegetation and serve as a basis of landscape evolution models.

About the Author:Christian B?dinger holds a M.Sc. in Physical Geography from the University of T?bingen, Germany. His focus in research lies on remote sensing and image analysis for environmental applications. He is currently working for a company focusing on aquatic remote sensing.
Hyperspectral remote sensing of vegetation, second edition, four volume set

Название: Hyperspectral remote sensing of vegetation, second edition, four volume set
ISBN: 1032475897 ISBN-13(EAN): 9781032475899
Издательство: Taylor&Francis
Рейтинг:
Цена: 29093.00 р.
Наличие на складе: Нет в наличии.

Описание: Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments. Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest manag


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия