Author_Institution :
Jet Propulsion Lab., Pasadena, CA, USA
Abstract :
It has been well known that a few areas on the Earth´s surface have a relatively constant backscattering coefficient and can serve as radar calibration targets. Examples include the Amazon rain forest, the Greenland ice sheet, parts of Antarctica, etc. However, there has not been any extensive investigation and quantitative evaluation of these targets in terms of their time variation, isotropy, and spatial variation. Here, we have analyzed a consistent set of Ku-band radar measurements for more than ten years from the QuikSCAT mission. This valuable set of data provides an unprecedented opportunity for us to study the long-term variability of observed backscattering from the Earth´s surface at Ku-band. In this paper, we performed a global survey of potential constant land targets and evaluated their variability. Quantitative measurements of temporal and spatial variabilities (homogeneity) and isotropy are used to identify the locations of the best natural calibration targets. We also discuss annual and long-term trends in the data and offer potential explanations for these trends. We examine small regions with the least overall variation. By concentrating on low-variation areas, we can identify useful calibration targets for future radar missions and for intercalibration between existing radars. At the same time, by focusing on regions with little spatial or temporal heterogeneity, we can analyze the temporal variation on diurnal, seasonal, and decadal scales in homogenous natural terrain types including rain forest, dry brushy areas, and ice sheets. We found that rain forest targets in the Amazon and Congo are very stable in time and homogeneous. However, they are subjected to diurnal difference. On the other hand, the Antarctica ice sheet is another good candidate for stable target, but it has seasonal variability. The Greenland ice sheet shows a significant trend in backscatter in recent years, and therefore, may not be a suitable calibration site anymore. Ano- her location for a good stable target is a dry brushy area in the Sahara, which shows comparable stability and isotropy with those of the Amazon, Congo, and Antarctica.
Keywords :
backscatter; calibration; geophysical techniques; glaciology; remote sensing by radar; spaceborne radar; vegetation; Amazon rain forest; Antarctica ice sheet; Congo; Earth surface; Greenland ice sheet; Ku-band backscatter; Ku-band radar measurement; QuikSCAT data; QuikSCAT mission; Sahara; backscattering coefficient; dry brushy area; homogenous natural terrain type; isotropy; long-term backscatter variability; natural calibration targets; natural targets; potential constant land targets; radar calibration target; radar intercalibration; radar mission; spatial heterogeneity; spatial variability; spatial variation; temporal heterogeneity; temporal variability; temporal variation; time variation; Antarctica; Azimuth; Backscatter; Calibration; Ice; Market research; Rain; Calibration; QuikSCAT; natural target; scatterometer;