Title :
Effect of the ionosphere on P-band spaceborne SAR images
Author :
Snoeij, Paul ; Van der Valk, Nick ; Boom, Eric ; Hoekman, Dirk
Author_Institution :
Fokker Space B.V., Leiden, Netherlands
Abstract :
Radar backscatter measurements have proven to be positively correlated with above ground biomass and this correlation increases with the wavelength. Biomass retrieval algorithms have been developed for airborne P-band data collected over both boreal and tropical forests. Radar measurements are insensitive to cloud cover and can be operated during day and night. Hence a space-borne radar system, operating at low frequency, will permit the measurement, mapping, and understanding of these parameters with a spatial and temporal resolution suitable for modeling ecosystem processes at regional, continental, and global scales. Based on experience with airborne campaigns, a polarimetric low frequency or P-band SAR has been shown to be the most appropriate instrument to this purpose. One of the disadvantages of the P-band is that in this frequency band ionospheric distortion off the images is expected to be high. A quantitative estimation of the ionospheric influences on P-band imagery needs to be derived, which can lead to orbit parameters, which minimizes the impact of the ionosphere on biomass measurements
Keywords :
forestry; geophysical aspects of cosmic rays; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; P-band; SAR; UHF; VHF; biomass; forest; geophysical measurement technique; ionosphere; radar polarimetry; radar remote sensing; spaceborne radar; synthetic aperture radar; vegetation mapping; Backscatter; Biomass; Extraterrestrial measurements; Frequency; Information retrieval; Ionosphere; Radar imaging; Radar measurements; Spaceborne radar; Wavelength measurement;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.976080