Using ENVISAT ASAR Global Mode Data for Surface Soil Moisture Retrieval Over Oklahoma, USA

作者：Pathe Carsten^*; Wagner Wolfang; Sabel Daniel; Doubkova Marcela; Basara Jeffrey B

来源：IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(2): 468-480.

DOI：10.1109/TGRS.2008.2004711

• Change detection
• ScanSAR
• scatterometer
• soil moisture
• synthetic aperture radar (SAR)

The advanced synthetic aperture radar (ASAR) on-board of the satellite ENVISAT can be operated in global monitoring (GM) mode. ASAR GM mode has delivered the first global multiyear C-band backscatter data set in HH polarization at a spatial resolution of 1 km. This paper investigates if ASAR GM can be used for retrieving soil moisture using a change detection approach over large regions. A method previously developed for the European Remote Sensing (ERS) scatterometer is adapted for use with ASAR GM and tested over Oklahoma, USA. The ASAR-GM-derived relative soil moisture index is compared to 50-km ERS soil moisture data and pointlike in situ measurements from the Oklahoma MESONET. Even though the scale gap from ASAR GM to the ill situ measurements is less pronounced than in the case of the ERS scatterometer, the correlation for ASAR against the in situ measurements is, in general, somewhat weaker than for the ERS scatterometer. The analysis suggests that this is mainly due to the much higher noise level of ASAR GM compared to the ERS scatterometer. Therefore, sonic spatial averaging to 3-10 km is recommended to reduce the noise of the ASAR C:NI soil moisture images. Nevertheless, the study demonstrates that ASAR GM allows resolving spatial details in the soil moisture patterns not observable in the ERS scatterometer measurements while still retaining the basic capability of the ERS scatterometer to capture temporal trends over large areas.

• 出版日期2009-2