Sea Surface Temperature Retrievals From Remote Sensing
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Sea Surface Temperature Retrievals from Remote Sensing by Xiaofeng Li,Jorge Vazquez Pdf
This book covers topics ranging from a detailed error analysis of SSTs to new applications employed, for example, in the study of the El Niño-La Niña Southern Oscillation, lake temperatures, and coral bleaching. New techniques for interpolation and algorithm development are presented, including improvements for cloud detection. Analysis of the pixel-to-pixel uncertainties provides insight to applications for high spatial resolutions. New approaches for the estimation and evaluation of SSTs are presented. In addition, an overview of the Climate Change Initiative, with specific applications to SST, is presented. The book provides an excellent overview of the current technology, while also highlighting new technologies and their applications to new missions.
Sea Surface Salinity Remote Sensing by Emmanuel P. Dinnat,Xiaobin Yin Pdf
This Special Issue gathers papers reporting research on various aspects of remote sensing of Sea Surface Salinity (SSS) and the use of satellite SSS in oceanography. It includes contributions presenting improvements in empirical or theoretical radiative transfer models; mitigation techniques of external interference such as RFI and land contamination; comparisons and validation of remote sensing products with in situ observations; retrieval techniques for improved coastal SSS monitoring, high latitude SSS and the assessment of ocean interactions with the cryosphere; and data fusion techniques combining SSS with sea surface temperature (SST). New instrument technology for the future of SSS remote sensing is also presented.
Remote Sensing Monitoring of Land Surface Temperature (LST) by Juan Manuel Sánchez,César Coll,Raquel Niclòs Pdf
This book is a collection of recent developments, methodologies, calibration and validation techniques, and applications of thermal remote sensing data and derived products from UAV-based, aerial, and satellite remote sensing. A set of 15 papers written by a total of 70 authors was selected for this book. The published papers cover a wide range of topics, which can be classified in five groups: algorithms, calibration and validation techniques, improvements in long-term consistency in satellite LST, downscaling of LST, and LST applications and land surface emissivity research.
Thermal Infrared Remote Sensing by Claudia Kuenzer,Stefan Dech Pdf
This book provides a comprehensive overview of the state of the art in the field of thermal infrared remote sensing. Temperature is one of the most important physical environmental variables monitored by earth observing remote sensing systems. Temperature ranges define the boundaries of habitats on our planet. Thermal hazards endanger our resources and well-being. In this book renowned international experts have contributed chapters on currently available thermal sensors as well as innovative plans for future missions. Further chapters discuss the underlying physics and image processing techniques for analyzing thermal data. Ground-breaking chapters on applications present a wide variety of case studies leading to a deepened understanding of land and sea surface temperature dynamics, urban heat island effects, forest fires, volcanic eruption precursors, underground coal fires, geothermal systems, soil moisture variability, and temperature-based mineral discrimination. ‘Thermal Infrared Remote Sensing: Sensors, Methods, Applications’ is unique because of the large field it spans, the potentials it reveals, and the detail it provides. This book is an indispensable volume for scientists, lecturers, and decision makers interested in thermal infrared technology, methods, and applications.
Remote Sensing of atmospheres and Oceans by Adarsh Deepak Pdf
Remote Sensing of Atmospheres and Oceans presents the technical proceedings of a workshop on the interpretation of remotely sensed data, held in Williamsburg, Virginia in May 1979. The main topic of the workshop is the interpretation and assessment of measurements acquired in remote sounding of different atmospheric and ocean parameters. The book contains 25 papers that cover the following topics: remote sounding of atmospheric temperature; trace gases; precipitation and aerosols; sea surface temperature; ocean color; and winds. These papers are grouped into eight parts under major topics such as inversion methods, aerosol sounding, remote sounding, gaseous constituent retrievals, and interpretation of results from space. The text is a valuable source of information to students and professionals in the fields of atmospheric physics, applied science, meteorology, and engineering.
Taking the Temperature of the Earth by Glynn Hulley,Darren Ghent Pdf
Taking the Temperature of the Earth: Steps towards Integrated Understanding of Variability and Change presents an integrated, collaborative approach to observing and understanding various surface temperatures from a whole-Earth perspective. The book describes the progress in improving the quality of surface temperatures across different domains of the Earth’s surface (air, land, sea, lakes and ice), assessing variability and long-term trends, and providing applications of surface temperature data to detect and better understand Earth system behavior. As cooperation is essential between scientific communities, whose focus on particular domains of Earth’s surface and on different components of the observing system help to accelerate scientific understanding and multiply the benefits for society, this book bridges the gap between domains. Includes sections on data validation and uncertainty, data availability and applications Integrates remote sensing and in situ data sources Presents a whole earth perspective on surface temperature datasets, delving into all domains to build and understand relationships between the datasets
Quantitative Remote Sensing in Thermal Infrared by Huajun Tang,Zhao-Liang Li Pdf
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.
Space Remote Sensing of Subtropical Oceans (SRSSO) by Cho-Teng Liu Pdf
This volume contains the proceedings from the COSPAR Colloquium on "Space Remote Sensing of Subtropical Oceans" which took place between 12 and 16 September, 1996, at the Institute of Oceanography of the National Taiwan University. Included are contributions addressing the issue, from scientific points of views, of why the first scientific satellite of Taiwan, ROCSAT-1, should be equipped with the Ocean Colour Imager (OCI) for oceanographic investigations.
Sea Ice: Physics and Remote Sensing addresses experiences acquired mainly in Canada by researchers in the fields of ice physics and growth history in relation to its polycrystalline structure as well as ice parameters retrieval from remote sensing observations. The volume describes processes operating at the macro- and microscale (e.g., brine entrapment in sea ice, crystallographic texture of ice types, brine drainage mechanisms, etc.). The information is supported by high-quality photographs of ice thin-sections prepared from cores of different ice types, all obtained by leading experts during field experiments in the 1970s through the 1990s, using photographic cameras and scanning microscopy. In addition, this volume presents techniques to retrieve a suite of sea ice parameters (e.g. ice type, concentration, extent, thickness, surface temperature, surface deformation, etc.) from space-borne and airborne sensor data. The breadth of the material on this subject is designed to appeal to researchers and users of remote sensing data who want to develop quick familiarity with the capabilities of this technology or detailed knowledge about major techniques for retrieval of key ice parameters. Volume highlights include: Detailed crystallographic classification of natural sea ice, the key information from which information about ice growth conditions can be inferred. Many examples are presented with material to support qualitative and quantitative interpretation of the data. Methods developed for revealing microstructural characteristics of sea ice and performing forensic investigations. Data sets on radiative properties and satellite observations of sea ice, its snow cover, and surrounding open water. Methods of retrieval of ice surface features and geophysical parameters from remote sensing observations with a focus on critical issues such as the suitability of different sensors for different tasks and data synergism. Sea Ice: Physics and Remote Sensing is intended for a variety of sea ice audiences interested in different aspects of ice related to physics, geophysics, remote sensing, operational monitoring, mechanics, and cryospheric sciences.
Microwave Remote Sensing for Oceanographic and Marine Weather-Forecast Models by Robin A. Vaughan Pdf
The power of microwave remote sensing for studying the oceans of the world was demonstrated conclusively by the SEASAT mission in 1978. Since then, no further satellite-flown instruments have been available to provide further data of this type. However, the proposed launch of ESA's ERS-1 satellite will lead to a new set of active microwave instruments being flown in space in 1990. Even though similar data has been obtained from aircraft-flown instruments SAR, scatterometers, altimeters etc. - a great deal of activity has been taking place to develop the necessary expertise in handling and analysing such data when it comes on-stream from ERS-1 and from subsequent satellites. It was against this background that the scientific Affairs Division of NATO again agreed to sponsor an ASI in Dundee in 1988. Its purpose was to review existing knowledge of the extraction of marine and atmospheric geophysical parameters from satellite-gathered microwave data and to enable scientists to prepare themselves and their computing systems to utilise the new data when it becomes available. The importance of the data is largely as input parameters to assist in the fitting of boundary conditions in large computer models. The course was concerned more with the non-imaging instruments, that is with passive radiometers, altimeters and scatterometers, than with the (imaging) synthetic aperture radar.
Remote Sensing Applications in Meteorology and Climatology by Robin A. Vaughan Pdf
This was the fourth postgraduate summer school on remote sensing to be held in Dundee. These summer schools were originated by, and continue to remain in, the programme of EARSel (European Association of Remote Sensing Laboratories) Working Group 3 on Education and Training in Remote Sensing. The first of these summer schools was held in 1980 on "Remote Sensing in Meteorology, Oceanography and Hydrology". This was followed in 1982 by a more specialised summer school on "Remote Sensing Applications in Marine Science and Technology" which built on the foundation laid in 1980 and then concentrated on the marine applications of remote sensing techniques. The present summer school was another follow-up of the original 1980 summer school but this time concentrating on the atmospheric rather than the marine applications of remote sensing techniques. The 1984 summer school had not specifically involved atmospheric and marine applications but had been involved with the use of remote sensing in the field of civil engineering. This year's summer school was extremely successful. First of all, this was due to our sponsors, for without their very significant material contributions there would have been no summer school. These sponsors included the Scientific Affairs Division of NATO, together with the European Association of Remote Sensing Laboratories, the Council of Europe, the European Space Agency, the German Aerospace Establishment (DFVLR) and the Natural Environment Research Council.
This first encyclopaedic reference on remote sensing describes the concepts, techniques, instrumentation, data analysis, interpretation, and applications of remote sensing, both airborne and space-based. Scientists, engineers, academics, and students can quickly access answers to their reference questions and direction for further study.
Kernel Methods for Remote Sensing Data Analysis by Gustau Camps-Valls,Lorenzo Bruzzone Pdf
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.