Описание: This is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches are generic and adapted to suit applications for various remote sensing images processing in landcover mapping, forestry, urban, in disaster mapping, image restoration, etc.
Описание: With more than 100 leading global contributors, this book is the most comprehensive documentation of the scientific and methodological advances that have taken place in understanding remote sensing data, methods, and applications over last 50 years. In a very practical way the book demonstrates the experience, utility, methods and models used in
Название: Remote Sensing of Glaciers ISBN: 0367384647 ISBN-13(EAN): 9780367384647 Издательство: Taylor&Francis Рейтинг: Цена: 10104.00 р. Наличие на складе: Поставка под заказ.
Описание: Bringing together experts in the field of remote sensing of glaciers, this book covers topics ranging from early terrestrial photogrammetry to the latest airborne laser and satellite radar methods for investigating glacier change. Providing important background information on instruments and techniques of measurement, the book discusses the mass balance and flow of glaciers and physical principles that underlie remote sensing at various wavelengths. This volume presents a focused view of glacier measurement and monitoring, making it an important contribution to investigations of glacier mass balance.
Название: Global Mapping of Human Settlement ISBN: 036738552X ISBN-13(EAN): 9780367385521 Издательство: Taylor&Francis Рейтинг: Цена: 8420.00 р. Наличие на складе: Поставка под заказ.
Описание: This volume provides a comprehensive overview of the methodologies, datasets, and approaches related to the use of remotely sensed data to map human settlements at the global scale. The contributors describe the characteristics of human settlements as seen and mapped from remote sensors, either at the regional or global scale. They also discuss the spectral variety, special scales, and nighttime appearance as key remote sensing indicators of these environments. To provide readers with the opportunity to experience the latest tools, the editors supplement the text with a DVD that provides samples of the latest products.
Автор: Ioannis Manakos; Matthias Braun Название: Land Use and Land Cover Mapping in Europe ISBN: 9400779682 ISBN-13(EAN): 9789400779686 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Land use and land cover (LULC) as well as its changes (LUCC) are an interplay between bio-geophysical characteristics of the landscape and climate as well as the complex human interaction including its different patterns of utilization superimposed on the natural vegetation.
Описание: This book offers an overview of geospatial technologies in land resources mapping, monitoring and management. It consists of four main sections: geospatial technologies - principles and applications; geospatial technologies in land resources mapping; geospatial technologies in land resources monitoring; and geospatial technologies in land resources management. Each part is divided into detailed chapters that include illustrations and tables. The authors, from leading institutes, such as the ICAR-NBSS&LUP, IIT-B, NRSC, ICRISAT, share their experiences and offer case studies to provide advanced insights into the field. It is a valuable resource for the scientific and the teaching community, extension scientists at research institutes and agricultural universities/colleges as well as those involved in planning and managing land resources for sustainable agriculture and livelihood security.
Описание: This work is a collective achievement of renowned scientists working in South and Southeast Asia. They discuss the complexity of vegetation patterns, biomass characteristics, fire distribution, drivers of fires, and several examples on the use of novel satellite algorithms for mapping and monitoring biomass burning events.
Автор: Pellikka, Petri Название: Remote Sensing of Glaciers ISBN: 0415401666 ISBN-13(EAN): 9780415401661 Издательство: Taylor&Francis Рейтинг: Цена: 27562.00 р. Наличие на складе: Поставка под заказ.
Автор: Wu, Bo Название: Planetary Remote Sensing and Mapping ISBN: 1032094427 ISBN-13(EAN): 9781032094427 Издательство: Taylor&Francis Рейтинг: Цена: 11023.00 р. Наличие на складе: Поставка под заказ.
Автор: Kumar, Anil (indian Institute Of Remote Sensing, Dehradun, India) Upadhyay, Priyadarshi (uttarakhand Space Application Centre, Dehradun, India) Singh, Название: Multi-sensor and multi-temporal remote sensing ISBN: 1032428325 ISBN-13(EAN): 9781032428321 Издательство: Taylor&Francis Рейтинг: Цена: 13014.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The appendix section of the book includes case studies such as mapping crop type, forest species, and stubble burnt paddy fields.Key features:Focuses on use of multi-sensor, multi-temporal data while handling spectral overlap between classesDiscusses range of fuzzy/deep learning models capable to extract specific single class and separates noiseDescribes pre-processing while using spectral, textural, CBSI indices, and back scatter coefficient/Radar Vegetation Index (RVI) Discusses the role of training data to handle the heterogeneity within a classSupports multi-sensor and multi-temporal data processing through in-house SMIC softwareIncludes case studies and practical applications for single class mappingThis book is intended for graduate/postgraduate students, research scholars, and professionals working in environmental, geography, computer sciences, remote sensing, geoinformatics, forestry, agriculture, post-disaster, urban transition studies, and other related areas.
Автор: Verbyla, David L. Название: Satellite Remote Sensing of Natural Resources ISBN: 1566701074 ISBN-13(EAN): 9781566701075 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Поставка под заказ.
Описание: This is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches are generic and adapted to suit applications for various remote sensing images processing in landcover mapping, forestry, urban, in disaster mapping, image restoration, etc.
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