Title :
Seasat over-land scatterometer data. II. Selection of extended area and land-target sites for the calibration of spaceborne scatterometers
Author :
Kennet, Rosemary G. ; Li, Ful K.
Author_Institution :
California Inst. of Technol., Pasadena, CA, USA
fDate :
11/1/1989 12:00:00 AM
Abstract :
For pt.I see ibid., vol.27, no.5, p.592-605 (1989). The post-launch performance verification for future scatterometers can use extended area land targets to calibrate antenna gain patterns and to verify and monitor deployment configurations. For the Ku-band Seasat scatterometer, a region of tropical rain forest in the Amazon basin was used as a homogeneous extended-area land target. As this region is continuously being deforested, other regions are investigated for calibrating scatterometers. The global backscatter coefficients ( sigma 0) are compared to classifications of natural vegetation and cultivation intensity and the variability with the time during the three-month mission is studied. The statistical variability of sigma 0 is compared with prior estimates resulting from the known variability of the instrument parameters and communication noise. Data from selected forested regions with relatively homogeneous sigma 0 and little time-dependence are presented.
Keywords :
backscatter; calibration; oceanographic equipment; radar applications; remote sensing; Amazon basin; Ku-band; antenna gain patterns; calibration; communication noise; cultivation intensity; deployment configurations; extended area and land-target sites; forested regions; global backscatter coefficients; instrument parameters; natural vegetation; post-launch performance verification; radar; remote sensing; spaceborne scatterometers; statistical variability; time-dependence; tropical rain forest; Antenna measurements; Asia; Azimuth; Backscatter; Calibration; Monitoring; Polarization; Radar measurements; Radar scattering; Rain; Remote monitoring; Scattering; Sea measurements; Sea surface; Spaceborne radar; Vegetation mapping;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on