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Author : José Antonio Sobrino Rodríguez
Publisher : Publicacions de la Universitat de València
Page : 1100 pages
File Size : 55,9 Mb
Release : 2007
Category : Remote sensing
ISBN : 843706533X
Author : José Antonio Sobrino Rodríguez
Publisher : Universitat de València
Page : 481 pages
File Size : 51,6 Mb
Release : 2018-12-14
Category : Science
ISBN : 9788491332015
The Fifth International Symposium on Recent Advances in Quantitative Remote Sensing was held in Torrent, Spain from 18 to 22 September 2018. It was sponsored and organized by the Global Change Unit (GCU) from the Image Processing Laboratory (IPL), University of Valencia (UVEG), Spain. This Symposium addressed the scientific advances in quantitative remote sensing in connection with real applications. Its main goal was to assess the state of the art of both theory and applications in the analysis of remote sensing data, as well as to provide a forum for researcher in this subject area to exchange views and report their latest results. In this book 89 of the 262 contributions presented in both plenary and poster sessions are arranged according to the scientific topics selected. The papers are ranked in the same order as the final programme.
Author : José A. Sobrino,José Antonio Sobrino Rodríguez
Publisher : Universitat de València
Page : 1046 pages
File Size : 48,6 Mb
Release : 2002
Category : Science
ISBN : 8437055156
Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 46,9 Mb
Release : 2022
Category : Electronic
ISBN : OCLC:1428392523
Author : José Antonio Sobrino Rodríguez
Publisher : Publicacions de la Universitat de València
Page : 984 pages
File Size : 44,6 Mb
Release : 2002
Category : Remote sensing
ISBN : 8437055156
Author : Shunlin Liang
Publisher : John Wiley & Sons
Page : 562 pages
File Size : 40,9 Mb
Release : 2005-03-11
Category : Technology & Engineering
ISBN : 9780471723714
Processing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs is a significant challenge. Filling a gap between the theoretical, physically-based modelling and specific applications, this in-depth study presents practical quantitative algorithms for estimating various land surface variables from remotely sensed observations. A concise review of the basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely sensed observations. Emphasizes both the basic principles of optical remote sensing and practical algorithms for estimating land surface variables quantitatively from remotely sensed observations Presents the current physical understanding of remote sensing as a system with a focus on radiative transfer modelling of the atmosphere, canopy, soil and snow Gathers the state of the art quantitative algorithms for sensor calibration, atmospheric and topographic correction, estimation of a variety of biophysical and geoph ysical variables, and four-dimensional data assimilation
Author : José A. Sobrino
Publisher : Unknown
Page : 874 pages
File Size : 54,6 Mb
Release : 2010
Category : Electronic
ISBN : 8437079527
Author : Boris Escalante
Publisher : BoD – Books on Demand
Page : 478 pages
File Size : 42,7 Mb
Release : 2012-06-13
Category : Technology & Engineering
ISBN : 9789535106524
This dual conception of remote sensing brought us to the idea of preparing two different books; in addition to the first book which displays recent advances in remote sensing applications, this book is devoted to new techniques for data processing, sensors and platforms. We do not intend this book to cover all aspects of remote sensing techniques and platforms, since it would be an impossible task for a single volume. Instead, we have collected a number of high-quality, original and representative contributions in those areas.
Author : Ming Hung,Yi-Hwa Wu
Publisher : BoD – Books on Demand
Page : 216 pages
File Size : 42,8 Mb
Release : 2018-07-25
Category : Technology & Engineering
ISBN : 9781789235364
Remote sensing was the primary data source since the launch of the first environmental monitoring satellite back in 1972. In the past five decades, remote sensing technology has come a long way and evolved into a mature science. Even so, new technologies, new theories, new methodologies, and new applications continue to emerge. With the rapid pace of technological advancement, it is essential to share experiences especially between different disciplines, either on breakthroughs in new theory or understanding, or applications of remote sensing on real world issues. Disciplines or fields covered in this book include geography, geology, agriculture, forestry, botany, and oceanography. Though remote sensing may be used differently in various disciplines, the principles are similar, if not the same. This book will be valuable to scientists, scholars, working professionals, or students who use remote sensing in their work, and are interested in learning how others use remote sensing in different ways.
Author : Ming-Chih Hung,Yi-Hwa Wu
Publisher : Unknown
Page : 214 pages
File Size : 47,5 Mb
Release : 2018
Category : Geography (General)
ISBN : 1789235375
Remote sensing was the primary data source since the launch of the first environmental monitoring satellite back in 1972. In the past five decades, remote sensing technology has come a long way and evolved into a mature science. Even so, new technologies, new theories, new methodologies, and new applications continue to emerge. With the rapid pace of technological advancement, it is essential to share experiences especially between different disciplines, either on breakthroughs in new theory or understanding, or applications of remote sensing on real world issues. Disciplines or fields covered in this book include geography, geology, agriculture, forestry, botany, and oceanography. Though remote sensing may be used differently in various disciplines, the principles are similar, if not the same. This book will be valuable to scientists, scholars, working professionals, or students who use remote sensing in their work, and are interested in learning how others use remote sensing in different ways.
Author : Achim Roeder,Joachim Hill
Publisher : CRC Press
Page : 418 pages
File Size : 47,6 Mb
Release : 2009-04-23
Category : Science
ISBN : 9780203875445
Land degradation and desertification are amongst the most severe threats to human welfare and the environment, as they affect the livelihoods of some 2 billion people in the worlds drylands, and they are directly connected to pressing global environmental problems, such as the loss of biological diversity or global climate change. Strategies to co
Author : Gustau Camps-Valls,Lorenzo Bruzzone
Publisher : John Wiley & Sons
Page : 434 pages
File Size : 49,9 Mb
Release : 2009-09-03
Category : Technology & Engineering
ISBN : 9780470749005
Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection and monitoring of anthropic infrastructures (e.g. urban areas), agriculture inventorying, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs) relevant to the remote sensing domain, this book serves as a practical guide to the design and implementation of these methods. Five distinct parts present state-of-the-art research related to remote sensing based on the recent advances in kernel methods, analysing the related methodological and practical challenges: Part I introduces the key concepts of machine learning for remote sensing, and the theoretical and practical foundations of kernel methods. Part II explores supervised image classification including Super Vector Machines (SVMs), kernel discriminant analysis, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection. Part III looks at semi-supervised classification with transductive SVM approaches for hyperspectral image classification and kernel mean data classification. Part IV examines regression and model inversion, including the concept of a kernel unmixing algorithm for hyperspectral imagery, the theory and methods for quantitative remote sensing inverse problems with kernel-based equations, kernel-based BRDF (Bidirectional Reflectance Distribution Function), and temperature retrieval KMs. Part V deals with kernel-based feature extraction and provides a review of the principles of several multivariate analysis methods and their kernel extensions. This book is aimed at engineers, scientists and researchers involved in remote sensing data processing, and also those working within machine learning and pattern recognition.
Author : Shunlin Liang,Xiaowen Li,Jindi Wang
Publisher : Academic Press
Page : 800 pages
File Size : 49,5 Mb
Release : 2012-12-06
Category : Science
ISBN : 9780123859556
Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book’s content intuitive, clearly presented, and practical in its implementation. Comprehensive overview of various practical methods and algorithms Detailed description of the principles and procedures of the state-of-the-art algorithms Real-world case studies open several chapters More than 500 full-color figures and tables Edited by top remote sensing experts with contributions from authors across the geosciences
Author : Huajun Tang,Zhao-Liang Li
Publisher : Springer Science & Business Media
Page : 298 pages
File Size : 52,5 Mb
Release : 2013-12-25
Category : Technology & Engineering
ISBN : 9783642420276
This book provides a comprehensive and advanced overview of the basic theory of thermal remote sensing and its application in hydrology, agriculture, and forestry. Specifically, the book highlights the main theory, assumptions, advantages, drawbacks, and perspectives of these methods for the retrieval and validation of surface temperature/emissivity and evapotranspiration from thermal infrared remote sensing. It will be an especially valuable resource for students, researchers, experts, and decision-makers whose interest focuses on the retrieval and validation of surface temperature/emissivity, the estimation and validation of evapotranspiration at satellite pixel scale, and the application of thermal remote sensing. Both Prof. Huajun Tang and Prof. Zhao-Liang Li work at the Chinese Academy of Agricultural Sciences (CAAS), China.
Author : Qihao Weng
Publisher : CRC Press
Page : 610 pages
File Size : 42,5 Mb
Release : 2011-02-16
Category : Technology & Engineering
ISBN : 9781420091816
Generating a satisfactory classification image from remote sensing data is not a straightforward task. Many factors contribute to this difficulty including the characteristics of a study area, availability of suitable remote sensing data, ancillary and ground reference data, proper use of variables and classification algorithms, and the analyst's e