Remote Sensing and Modeling

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Release : 2014-09-01
Genre : Science
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Book Rating : 26X/5 ( reviews)

Remote Sensing and Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Remote Sensing and Modeling write by Charles W. Finkl. This book was released on 2014-09-01. Remote Sensing and Modeling available in PDF, EPUB and Kindle. This book is geared for advanced level research in the general subject area of remote sensing and modeling as they apply to the coastal marine environment. The various chapters focus on the latest scientific and technical advances in the service of better understanding coastal marine environments for their care, conservation and management. Chapters specifically deal with advances in remote sensing coastal classifications, environmental monitoring, digital ocean technological advances, geophysical methods, geoacoustics, X-band radar, risk assessment models, GIS applications, real-time modeling systems, and spatial modeling. Readers will find this book useful because it summarizes applications of new research methods in one of the world’s most dynamic and complicated environments. Chapters in this book will be of interest to specialists in the coastal marine environment who deals with aspects of environmental monitoring and assessment via remote sensing techniques and numerical modeling.

Bio-optical Modeling and Remote Sensing of Inland Waters

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Release : 2017-04-28
Genre : Science
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Book Rating : 546/5 ( reviews)

Bio-optical Modeling and Remote Sensing of Inland Waters - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bio-optical Modeling and Remote Sensing of Inland Waters write by Deepak R. Mishra. This book was released on 2017-04-28. Bio-optical Modeling and Remote Sensing of Inland Waters available in PDF, EPUB and Kindle. Bio-optical Modeling and Remote Sensing of Inland Waters presents the latest developments, state-of-the-art, and future perspectives of bio-optical modeling for each optically active component of inland waters, providing a broad range of applications of water quality monitoring using remote sensing. Rather than discussing optical radiometry theories, the authors explore the applications of these theories to inland aquatic environments. The book not only covers applications, but also discusses new possibilities, making the bio-optical theories operational, a concept that is of great interest to both government and private sector organizations. In addition, it addresses not only the physical theory that makes bio-optical modeling possible, but also the implementation and applications of bio-optical modeling in inland waters. Early chapters introduce the concepts of bio-optical modeling and the classification of bio-optical models and satellite capabilities both in existence and in development. Later chapters target specific optically active components (OACs) for inland waters and present the current status and future direction of bio-optical modeling for the OACs. Concluding sections provide an overview of a governance strategy for global monitoring of inland waters based on earth observation and bio-optical modeling. Presents comprehensive chapters that each target a different optically active component of inland waters Contains contributions from respected and active professionals in the field Presents applications of bio-optical modeling theories that are applicable to researchers, professionals, and government agencies

Remote Sensing

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Release : 2012-12-02
Genre : Technology & Engineering
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Book Rating : 106/5 ( reviews)

Remote Sensing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Remote Sensing write by Robert A. Schowengerdt. This book was released on 2012-12-02. Remote Sensing available in PDF, EPUB and Kindle. This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms. Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery. The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature.

Environmental Modelling with GIS and Remote Sensing

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Release : 2017-08-11
Genre : Technology & Engineering
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Book Rating : 214/5 ( reviews)

Environmental Modelling with GIS and Remote Sensing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Environmental Modelling with GIS and Remote Sensing write by Andrew Skidmore. This book was released on 2017-08-11. Environmental Modelling with GIS and Remote Sensing available in PDF, EPUB and Kindle. Most government agencies and private companies are investing significant resources in the production and use of geographical data. The capabilities of Geographical Information Systems (GIS) for data analysis are also improving, to the extent that the potential performance of GIS software and the data available for analysis outstrip the abilities of

Remote Sensing Applications for Agriculture and Crop Modelling

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Release : 2020-02-13
Genre : Science
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Book Rating : 263/5 ( reviews)

Remote Sensing Applications for Agriculture and Crop Modelling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Remote Sensing Applications for Agriculture and Crop Modelling write by Piero Toscano. This book was released on 2020-02-13. Remote Sensing Applications for Agriculture and Crop Modelling available in PDF, EPUB and Kindle. Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling, provide insight into the diversity and the complexity of developments of RS applications in agriculture. Five thematic focuses have emerged from the published papers: yield estimation, land cover mapping, soil nutrient balance, time-specific management zone delineation and the use of UAV as agricultural aerial sprayers. All contributions exploited the use of remote sensing data from different platforms (UAV, Sentinel, Landsat, QuickBird, CBERS, MODIS, WorldView), their assimilation into crop models (DSSAT, AQUACROP, EPIC, DELPHI) or on the synergy of Remote Sensing and modeling, applied to cardamom, wheat, tomato, sorghum, rice, sugarcane and olive. The intended audience is researchers and postgraduate students, as well as those outside academia in policy and practice.