Buch, Englisch, 497 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 779 g
System, Modeling, Inversion and Application
Buch, Englisch, 497 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 779 g
ISBN: 978-94-007-9868-7
Verlag: Springer Netherlands
It collects the review papers of the 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS). It systematically summarizes the past achievements and identifies the frontier issues as the research agenda for the near future. It covers all aspects of land remote sensing, from sensor systems, physical modeling, inversion algorithms, to various applications.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Remote Sensing Systems.- Recent Advances in Land Remote Sensing: An Overview.- Passive Microwave Remote Sensing for Land Applications.- Active Microwave Remote Sensing Systems and Applications to Snow Monitoring.- Multi-angular Thermal Infrared Observations of Terrestrial Vegetation.- Terrestrial Applications of Multiangle Remote Sensing.- Physical Modeling and Inversion Algorithms.- Modeling the Spectral Signature of Forests: Application of Remote Sensing Models to Coniferous Canopies.- Estimating Canopy Characteristics from Remote Sensing Observations: Review of Methods and Associated Problems.- Knowledge Database and Inversion.- Retrieval of Surface Albedo from Satellite Sensors.- Modeling and Inversion in Thermal Infrared Remote Sensing over Vegetated Land Surfaces.- Spectrally Consistent Pansharpening.- Data Assimilation Methods for Land Surface Variable Estimation.- Methodologies for Mapping Land Cover/Land Use and its Change.- Methodologies for Mapping Plant Functional Types.- Remote Sensing Applications.- Monitoring and Management of Agriculture with Remote Sensing.- Remote Sensing of Terrestrial Primary Production and Carbon Cycle.- Applications of Terrestrial Remote Sensing to Climate Modeling.- Improving the Utilization of Remotely Sensed Data.- Emerging Issues in Land Remote Sensing.
