Issue 2 • Date Mar 1997
Filter Results
-
-
-
Mixture models with higher order moments
|
PDF (352 KB)
-
-
-
Microwave radiometric technique to retrieve vapor, liquid and ice. I. Development of a neural network-based inversion method
|
PDF (276 KB)
-
-
Microwave radiometric technique to retrieve vapor, liquid and ice. II. Joint studies of radiometer and radar in winter clouds
|
PDF (644 KB)
-
-
-
ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data
|
PDF (672 KB)
-
Studies of the angular correlation function of scattering by random rough surfaces with and without a buried object
|
PDF (392 KB)
-
Variance bounds on the estimation of reflectivity and polarization parameters in radar meteorology
|
PDF (292 KB)
-
-
Retrieval of tropospheric water vapor scale height from horizontal turbulence structure
|
PDF (1192 KB)
-
Radar-derived standwise forest inventory
|
PDF (584 KB)
-
-
-
-
-
-
A microwave backscattering model for deformed first-year sea ice and comparisons with SAR data
|
PDF (632 KB)
-
-
-
Classification of particles in stratiform clouds using the 33 and 95 GHz polarimetric cloud profiling radar system (CPRS)
|
PDF (1232 KB)
Aims & Scope
This publication focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
Meet Our Editors
Editor-in-Chief
Antonio J. Plaza
University of Extremadura


