Автор: Wang, Peng, Название: Subpixel mapping for remote sensing images / ISBN: 1032229381 ISBN-13(EAN): 9781032229386 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Нет в наличии.
Описание: This book provides a complete overview of subpixel image processing methods, basic principles, and different subpixel mapping techniques based on single or multi-shift remote sensing images. Real-life applications are a great resource for understanding how and where to use subpixel mapping with different remote sensing imaging data.
Автор: Campbell Название: Radar Remote Sensing of Planetary Surfaces ISBN: 0521189659 ISBN-13(EAN): 9780521189651 Издательство: Cambridge Academ Рейтинг: Цена: 8395.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A 2002 introduction to radar remote sensing of natural surfaces, including radar data collection, image interpretation and surface roughness analysis. Radar surveys of the Moon, Mercury, Venus and Mars are presented at a level appropriate for students and professionals in the Earth and planetary sciences, electrical engineering, and remote sensing.
Автор: Jerzy S?siadek Название: Aerospace Robotics II ISBN: 3319138529 ISBN-13(EAN): 9783319138527 Издательство: Springer Рейтинг: Цена: 14818.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a selection of conference contributions from CARO`13 (Conference on Aerospace Robotics), which was held in Warsaw from July 1 to 3, 2013. Such robots would make space exploration possible but also they would make space automation an important factor in variety of activities related to Space.
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: 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: Pellikka, Petri Название: Remote Sensing of Glaciers ISBN: 0415401666 ISBN-13(EAN): 9780415401661 Издательство: Taylor&Francis Рейтинг: Цена: 29093.00 р. Наличие на складе: Нет в наличии.
Автор: Verbyla, David L. Название: Satellite Remote Sensing of Natural Resources ISBN: 1566701074 ISBN-13(EAN): 9781566701075 Издательство: Taylor&Francis Рейтинг: Цена: 28327.00 р. Наличие на складе: Нет в наличии.
Автор: Ioannis Manakos; Matthias Braun Название: Land Use and Land Cover Mapping in Europe ISBN: 9400779682 ISBN-13(EAN): 9789400779686 Издательство: Springer Рейтинг: Цена: 15957.00 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.
Автор: Donald B. Percival, Andrew T. Walden Название: Spectral Analysis for Univariate Time Series ISBN: 1107028140 ISBN-13(EAN): 9781107028142 Издательство: Cambridge Academ Рейтинг: Цена: 14573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.
Автор: Ravi P. Gupta Название: Remote Sensing Geology ISBN: 3662558742 ISBN-13(EAN): 9783662558744 Издательство: Springer Рейтинг: Цена: 10976.00 р. Наличие на складе: Нет в наличии.
Описание: Over the past decade, advances in sensor technology, processing algorithms, and computational capacity have taken remote sensing to a level where observations can be transformed into quantitative measurements, and the technology can be used in near real-time for mapping, monitoring and decision-making. For the third edition, this widely acclaimed book has been fully revised, enlarged and updated. It covers remote sensing in a wide range of optical, thermal, and microwave wavelengths and their host of geologic applications featuring sample applications from around the globe. In addition, it presents state-of-the-art content on emerging themes such as atmospheric interactions, spectroscopy, spectral indices, prospectivity modelling, and multi-sensor geodata integration. Thesubject matter is presented at a basic level, offering students an excellent introductory text on remote sensing. Further, the main part of the book will also be of great value to active researchers.Excerpt from the review of Remote Sensing Geology (2nd ed., 2003): International Journal of Applied Earth Observation and Geoinformation, 5 (2004) 239–240“....Graduate students, research workers and professional earth scientists will use this book to their advantage and with pleasure; it is well-written, to the point and with an emphasis on understanding the principles underlying this wide spectre of technology in its application to the earth sciences. Remote sensing is a fascinating subject; so is geology. The author has fully succeeded in providing a fascinating book that combines them in a handy volume.”
Jan J. Nossin
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