Land Surface Remote Sensing in Continental Hydrology

Author: Nicolas Baghdadi
Publisher: Elsevier
ISBN: 0081011814
Format: PDF
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The continental hydrological cycle is one of the least understood components of the climate system. The understanding of the different processes involved is important in the fields of hydrology and meteorology. In this volume the main applications for continental hydrology are presented, including the characterization of the states of continental surfaces (water state, snow cover, etc.) using active and passive remote sensing, monitoring the Antarctic ice sheet and land water surface heights using radar altimetry, the characterization of redistributions of water masses using the GRACE mission, the potential of GNSS-R technology in hydrology, and remote sensing data assimilation in hydrological models. This book, part of a set of six volumes, has been produced by scientists who are internationally renowned in their fields. It is addressed to students (engineers, Masters, PhD) , engineers and scientists, specialists in remote sensing applied to hydrology. Through this pedagogical work, the authors contribute to breaking down the barriers that hinder the use of Earth observation data. Provides clear and concise descriptions of modern remote sensing methods Explores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applications Provides chapters on physical principles, measurement, and data processing for each technique described Describes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made

Optical Remote Sensing of Land Surface

Author: Nicolas Baghdadi
Publisher: Elsevier
ISBN: 0081011849
Format: PDF, ePub, Mobi
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The considerable progress in instrumentation and in the development of methods for the processing and analysis of data places remote sensing at the center of various international programs for the surveillance and tracking of climatic and anthropogenic changes and effects on the environment. This volume presents optical imaging and LiDAR systems: their instrumentation, physics of measurement, processing methods and data analysis. The estimation of a digital terrain model based on optical images and LiDAR data is also discussed. This book, part of a set of six volumes, has been produced by scientists who are internationally renowned in their fields. It is addressed to students (engineers, Masters, PhD), engineers and scientists, specialists in Earth observation techniques and imaging systems. Through this pedagogical work, the authors contribute to breaking down the barriers that hinder the use of Earth observation data. Provides clear and concise descriptions of modern remote sensing methods Explores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applications Provides chapters on physical principles, measurement, and data processing for each technique described Describes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made

Remote Sensing Imagery

Author: Florence Tupin
Publisher: John Wiley & Sons
ISBN: 1118898923
Format: PDF
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Dedicated to remote sensing images, from their acquisition to theiruse in various applications, this book covers the global lifecycleof images, including sensors and acquisition systems, applicationssuch as movement monitoring or data assimilation, and image anddata processing. It is organized in three main parts. The first part presentstechnological information about remote sensing (choice of satelliteorbit and sensors) and elements of physics related to sensing(optics and microwave propagation). The second part presents imageprocessing algorithms and their specificities for radar or optical,multi and hyper-spectral images. The final part is devoted toapplications: change detection and analysis of time series,elevation measurement, displacement measurement and dataassimilation. Offering a comprehensive survey of the domain of remote sensingimagery with a multi-disciplinary approach, this book is suitablefor graduate students and engineers, with backgrounds either incomputer science and applied math (signal and image processing) orgeo-physics. About the Authors Florence Tupin is Professor at Telecom ParisTech, France. Herresearch interests include remote sensing imagery, image analysisand interpretation, three-dimensional reconstruction, and syntheticaperture radar, especially for urban remote sensingapplications. Jordi Inglada works at the Centre National d’ÉtudesSpatiales (French Space Agency), Toulouse, France, in the field ofremote sensing image processing at the CESBIO laboratory. He is incharge of the development of image processing algorithms for theoperational exploitation of Earth observation images, mainly in thefield of multi-temporal image analysis for land use and coverchange. Jean-Marie Nicolas is Professor at Telecom ParisTech in the Signaland Imaging department. His research interests include the modelingand processing of synthetic aperture radar images.

Thermal Remote Sensing in Land Surface Processing

Author: Dale A. Quattrochi
Publisher: CRC Press
ISBN: 0203502175
Format: PDF, Docs
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Although remote sensing is recognized as a powerful tool, less attention has been given in the past to the use of thermal, and especially thermal infrared (TIR) remote sensing. TIR data is useful for understanding the fluxes and redistribution of materials as a key aspect of land surface processes and land-atmosphere inter-relationships. This book presents studies showing this, and interprets both the prospects and problems of using TIR data in land process research, making the book useful to those wishing to employ this data as a major component in Earth science research. It illustrates the virtues and importance of TIR data in remote sensing research to facilitate the future development of new and improved satellite and airborne TIR remote sensing systems. Students and researchers should find this an invaluable book, whether they are geographers, geologists, climatologists, hydrologists, landscape ecologists or other environmental scientists.

Remote Sensing and Water Resources

Author: A. Cazenave
Publisher: Springer
ISBN: 3319324497
Format: PDF, ePub, Docs
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This book is a collection of overview articles showing how space-based observations, combined with hydrological modeling, have considerably improved our knowledge of the continental water cycle and its sensitivity to climate change. Two main issues are highlighted: (1) the use in combination of space observations for monitoring water storage changes in river basins worldwide, and (2) the use of space data in hydrological modeling either through data assimilation or as external constraints. The water resources aspect is also addressed, as well as the impacts of direct anthropogenic forcing on land hydrology (e.g. ground water depletion, dam building on rivers, crop irrigation, changes in land use and agricultural practices, etc.). Remote sensing observations offer important new information on this important topic as well, which is highly useful for achieving water management objectives.Over the past 15 years, remote sensing techniques have increasingly demonstrated their capability to monitor components of the water balance of large river basins on time scales ranging from months to decades: satellite altimetry routinely monitors water level changes in large rivers, lakes and floodplains. When combined with satellite imagery, this technique can also measure surface water volume variations. Passive and active microwave sensors offer important information on soil moisture (e.g. the SMOS mission) as well as wetlands and snowpack. The GRACE space gravity mission offers, for the first time, the possibility of directly measuring spatio-temporal variations in the total vertically integrated terrestrial water storage. When combined with other space observations (e.g. from satellite altimetry and SMOS) or model estimates of surface waters and soil moisture, space gravity data can effectively measure groundwater storage variations. New satellite missions, planned for the coming years, will complement the constellation of satellites monitoring waters on land. This is particularly the case for the SWOT mission, which is expected to revolutionize land surface hydrology. Previously published in Surveys in Geophysics, Volume 37, No. 2, 2016

Scaling up in hydrology using remote sensing

Author: J. B. Stewart
Publisher: John Wiley & Son Ltd
ISBN:
Format: PDF, ePub, Docs
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Sealing up in Hydrology using Remote Sensing Edited by J. B. Stewart Institute of Hydrology, UK E. T. Engman NASA Goddard Space Flight Center, USA R. A. Feddes Wageningen Agricultural University, The Netherlands Y. Kerr Centre d'Etudes Spatiales de la Biosphere, France The most pressing modern environmental problems are considered to affect the entire globe. For example, climate change, deforestation and desertification are all happening on such a large scale that they may affect the sustainability of man's future. What is needed to address this question quantitatively are more reliable data on large scale land use and land-use change, and their impacts on water resources and climate. The catch is that we are never going to be able to measure directly key hydrological and meteorological variables at enough points on the ground to give adequate description of the large areas (regions and continents) for which information is required. The only way to get this is via large scale modelling and the development of remote sensing techniques. This book brings together the presentations made at a recent workshop by experts, who met to consider the problems of scaling up from local to global spatial scales and from the instantaneous satellite measurements to daily or longer time scales. The authors' collective views represent the state of the art of their science as seen by an active international remote sensing community, and ground and planetary-based measurement scientists and modellers. The front cover illustration is reproduced courtesy of N. Fey