Title :
Similarities Between Spaceborne Active and Airborne Passive Microwave Observations at 1 km Resolution
Author :
Rudiger, Christoph ; Doubkova, Marcela ; Larsen, Joshua R. ; Wagner, Wolfgang ; Walker, Jeffrey P.
Author_Institution :
Dept. of Civil Eng., Monash Univ., Clayton, VIC, Australia
Abstract :
For the first time, airborne passive microwave data were collected at 1 km resolution over parts of Central Australia coinciding with spaceborne active data, allowing a comparison of such data sets acquired at medium (1 km) spatial resolution. L-band airborne passive microwave scenes were compared with C-band scenes and temporal parameters from the Advanced Synthetic Aperture Radar. It was found that the radar-returned signal, as well as the “sensitivity” and “correlation” parameters derived from the long time-series of the ASAR GM data, is similar to spatial patterns in the passive microwave data, suggesting that similar physical interactions are underlying both data sets, especially across heterogeneous landscapes. Comparable patterns found over the dry Lake Eyre salt bed (r2 = 0.37) suggest that very high-resolution C-band radar data may be used to describe subpixel heterogeneity within coarse resolution radiometer data, such as the future Soil Moisture Active Passive mission.
Keywords :
airborne radar; microwave measurement; remote sensing by radar; spaceborne radar; synthetic aperture radar; ASAR GM data time series; Advanced Synthetic Aperture Radar; C-band scenes; L-band airborne passive microwave scenes; Lake Eyre salt bed; Soil Moisture Active Passive mission; airborne passive microwave observations; central Australia; correlation parameter; passive microwave data spatial patterns; radar returned signal; sensitivity parameter; spaceborne active microwave observations; temporal parameters; Backscatter; Brightness temperature; L-band; Lakes; Microwave radiometry; Remote sensing; Soil moisture; Disaggregation; environmental monitoring; microwave passive and active remote sensing; satellites; soil moisture;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2014.2323712