Advances in Land Remote Sensing System, Modeling, Inversion and Application /

This book collects the review papers from both technical sessions and three discussion panels 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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Liang, Shunlin (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands, 2008.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.