The Calibration of the Envisat Radar Altimeter Receiver by a Passive Technique

Abstract

The passive calibration of the Radar Altimeter (RA) consists of characterizing the receiver gain by observing natural surfaces with known emission in the so-called noise-listen mode. It is based on the comparison between the simulated values of the brightness temperature impinging on the altimeter antenna, and the digital counts at the output of the altimeter receiver in the absence of echo. The proposed method aims to calibrate measurements of the backscattering coefficient performed by a spaceborne altimeter based on the assumption that the receiver gain is the main source of uncertainty. This paper focuses on the general approach undertaken to characterize the receiver and to simulate the brightness temperature at the top of the atmosphere observed by the Envisat RA-2. The simulations rely on emissivity models for land and sea, as well as on atmospheric radiation models supported by a continuous flow of online data used as model inputs. To assess the accuracy, the model outputs are compared with observations from calibrated radiometers, namely the Special Sensor Microwave/Imager and Tropical Rainfall Measuring Mission Microwave Imager, with particular attention to the low-frequency channels (10 and 19 GHz). The new method has been first tested on European Remote Sensing satellite data and has been subsequently adopted for Envisat RA-2 in the framework of the Envisat Calibration and Validation activities managed by the European Space Agency. The evaluation of the receiver gain at both Ku-band and S-band is presented and compared to the preflight values, as well as to transponder calibration done for Ku-band. An error budget for the final estimates is also presented and discussed.

Estimating surface soil moisture over Sahel using ENVISAT radar altimetry

“…For Ice-1 and Sea Ice these parameters are estimated empirically using thresholds on the amplitude of the waveform. The errors on the estimated σ 0 (instrument noise, orbit variations, atmosphere interferences) are expected to be lower than 0.29 dB in Ku band and 0.37 dB in S band (Pierdicca et al, 2006).…”

“…9). The error introduced by the inverse function in the SSM derived from 0 is 0.4% SSM obtained as the ratio between the error on 0 (maximum value of 0.3 dB according to Pierdicca et al, 2006)…”

Cassini RADAR Sequence Planning and Instrument Performance

“…These data were obtained on April 18, 2005, as part of an engineering test that had a full 3-h warmup before the data were taken. This kind of passive calibration approach for a radar receiver has also been used on Earth-orbiting radar systems [16].…”

“…In these cases, the noise level is estimated using (16). The values of C and T r used should correspond to the attenuator and bandwidth setting used for a particular measurement.…”