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Hyperspectral Indices and Image Classifications for Agriculture and Vegetation, Thenkabail, Prasad S.


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Автор: Thenkabail, Prasad S.
Название:  Hyperspectral Indices and Image Classifications for Agriculture and Vegetation
ISBN: 9781032475851
Издательство: Taylor&Francis
Классификация:








ISBN-10: 1032475854
Обложка/Формат: Paperback
Страницы: 332
Вес: 0.31 кг.
Дата издания: 09.01.2023
Серия: Hyperspectral remote sensing of vegetation, second edition
Издание: 2 ed
Иллюстрации: 85 illustrations, color; 21 illustrations, black and white
Размер: 254 x 178
Читательская аудитория: Professional & vocational
Подзаголовок: Hyperspectral remote sensing of vegetation
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Поставляется из: Европейский союз


Hyperspectral remote sensing of vegetation /

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

Social Statistics and Ethnic Diversity

Автор: Patrick Simon; Victor Pich?; Am?lie A. Gagnon
Название: Social Statistics and Ethnic Diversity
ISBN: 331936720X ISBN-13(EAN): 9783319367200
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This open access book examines the question of collecting and disseminating data on ethnicity and race in order to describe characteristics of ethnic and racial groups, identify factors of social and economic integration and implement policies to redress discrimination.

Soil Classification

Название: Soil Classification
ISBN: 0367454629 ISBN-13(EAN): 9780367454623
Издательство: Taylor&Francis
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Цена: 9492.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Developments in soil classification have accompanied parallel progress in our understanding of the soil system. However, the theories behind the classifications and the purposes for which they were created have changed over time. In this groundbreaking reference, eminent soil scientists, many of whom were involved in the design of their respective

Standardized Hierarchical Vegetation Classification: Mexican and Global Patterns

Автор: Velбzquez Alejandro, Medina Garcнa Consuelo, Durбn Medina Elvira
Название: Standardized Hierarchical Vegetation Classification: Mexican and Global Patterns
ISBN: 3319822993 ISBN-13(EAN): 9783319822990
Издательство: Springer
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Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book outlines the transitions between cultured and natural land cover/vegetation types and their implications in the search for alternatives to reverse the trend of anthropogenic environmental degradation. It also elaborates on the proposed “standardized hierarchical Mexican vegetation classification system” and geobotanical mapping, a critical transversal environmental issue. The first chapter consists of an historical review of the common approaches to the study of vegetation both in Mexico and in other regions of the world. The second chapter concisely analyzes the existing schools of thought that have led to the development of vegetation classification systems based on physiognomic, structural and floristic approaches. The focal point of the book is the “standardized hierarchical Mexican vegetation classification system” (SECLAVEMEX – “Sistema jer?rquico estandarizado para la clasificaci?n de la vegetaci?n de M?xico”). Chapter 3 describes the system’s organizational levels along with the criteria defining them and the nomenclatural basis for the denomination of each type of vegetation. It also includes a series of tables explaining and precisely defining the meaning of each concept, criterion, character and element used to help readers successfully identify the type of vegetation in a determined area. The fourth chapter highlights SECLAVEMEX's inclusive character as evidenced through its compatibility with other systems currently used around the globe. Three concepts are critically reviewed: land cover, land use and vegetation. These are often the study subject of the contrasting disciplines geography, agronomy and ecology, which all rely upon plant species assemblages. As such, the final chapter focuses on a critical transversal environmental issue – geobotanical mapping. Geobotanical mapping offers a baseline for land cover/use planning and provides critical information on ecological, economic and cultural attributes, which can be used as a basis for environmental-policy decisions. The proposed SECLAVEMEX was applied to Mexico as an example of land cover, land use and vegetation patterns intermingling as the result of a long human influence. SECLAVEMEX, however, can be adapted and hopefully adopted globally as a baseline for consistently comparing geobotanical patterns and their transitions.

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
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Цена: 23734.00 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.

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
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Цена: 23734.00 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.

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: 23734.00 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.

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: 23734.00 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.

Vegetation Survey and Classification of Subtropical Forests of Southern Africa

Автор: Ladislav Mucina
Название: Vegetation Survey and Classification of Subtropical Forests of Southern Africa
ISBN: 3319678302 ISBN-13(EAN): 9783319678306
Издательство: Springer
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Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book highlights classification patterns and underlying ecological drivers structuring the vegetation of selected indigenous subtropical forests in South Africa. It uses original field sampling and advanced numerical data analysis to examine three major types of forest – Albany Coastal Forests, Pondoland Coastal Scarp and Eastern Scarp – all of which are of high conservation value. Offering a unique and systematic assessment of South African ecology in unprecedented detail, the book could serve as a model for future vegetation surveys of forests not only in Africa, but also around the globe.

Social Statistics and Ethnic Diversity

Автор: Patrick Simon; Victor Pich?; Am?lie A. Gagnon
Название: Social Statistics and Ethnic Diversity
ISBN: 3319200941 ISBN-13(EAN): 9783319200941
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This open access book examines the question of collecting and disseminating data on ethnicity and race in order to describe characteristics of ethnic and racial groups, identify factors of social and economic integration and implement policies to redress discrimination.

GIS and Machine Learning for Small Area Classifications in Developing Countries

Автор: Ojo, Adegbola
Название: GIS and Machine Learning for Small Area Classifications in Developing Countries
ISBN: 0367322447 ISBN-13(EAN): 9780367322441
Издательство: Taylor&Francis
Рейтинг:
Цена: 19906.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Using two developing countries as case studies for small area segmentation techniques, the book connects new trans-disciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS. This offers stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings.

GIS and Machine Learning for Small Area Classifications in Developing Countries

Автор: Ojo, Adegbola
Название: GIS and Machine Learning for Small Area Classifications in Developing Countries
ISBN: 0367652323 ISBN-13(EAN): 9780367652326
Издательство: Taylor&Francis
Рейтинг:
Цена: 7654.00 р.
Наличие на складе: Нет в наличии.


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