Exploring scaling issues by using NASA Cold Land Processes Experiment (CLPX-1, IOP3) radiometric data

The NASA Cold-land Processes Field Experiment-1 (CLPX-1) involved several instruments in order to acquire data at different spatial resolutions. Indeed, one of the main tasks of CLPX-1 was to explore scaling issues associated with microwave remote sensing of snowpacks. To achieve this task, microwave brightness temperatures collected at 18.7, 36.5, and 89 GHz at LSOS test site by means of the University of Tokyo's Ground Based Microwave Radiometer-7 (GBMR-7) were compared with brightness temperatures recorded by the NOAA Polarimetric Scanning Radiometer (PSR/A) and by SSM/I and AMSR-E radiometers. Differences between different scales observations were observed and they may be due to the topography of the terrain and to observed footprints. In the case of satellite and airborne data, indeed, it is necessary to consider the heterogeneity of the terrain and the presence of trees inside the observed scene becomes a very important factor. Also when comparing data acquired only by the two satellites, differences were found. Different acquisition times and footprint positions, together with different calibration and validation procedures, can be responsible for the observed differences.

[1]  Dorothy K. Hall,et al.  Nimbus-7 SMMR derived global snow cover parameters , 1987 .

[2]  Hae-Jin Choi,et al.  NASA EOS DB Receiving System Development by KARI , 2003 .

[3]  Thomas Rose,et al.  A Precision Autocalibrating 7 Channel Radiometer for Environmental Research Applications , 1999 .

[4]  Martti Hallikainen,et al.  Comparison of algorithms for retrieval of snow water equivalent from Nimbus-7 SMMR data in Finland , 1992, IEEE Trans. Geosci. Remote. Sens..

[5]  M. Tedescoa,et al.  Artificial neural network-based techniques for the retrieval of SWE and snow depth from SSM / I data , 2004 .

[6]  D. Robinson,et al.  Global Snow Cover Monitoring: An Update , 1993 .

[7]  A. Tait,et al.  Estimation of snow water equivalent using passive microwave radiation data , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

[8]  Christian Mätzler,et al.  Microwave remote sensing of snow cover , 1983 .

[9]  Simonetta Paloscia,et al.  Microwave emission from dry snow: a comparison of experimental and model results , 2001, IEEE Trans. Geosci. Remote. Sens..

[10]  A. Walker,et al.  Use of snow cover derived from satellite passive microwave data as an indicator of climate change , 1993 .

[11]  Yann Kerr,et al.  Passive microwave remote sensing of land-atmosphere interactions , 1995 .

[12]  Dorothy K. Hall,et al.  Comparison of snow mass estimates from a prototype passive microwave snow algorithm, a revised algorithm and a snow depth climatology , 1997 .