Back to Search
Start Over
Sensitivity of Compact Polarimetric SAR Parameters to Modeled Lake Ice Growth.
- Source :
- IEEE Transactions on Geoscience & Remote Sensing; Dec2021, Vol. 59 Issue 12, p9953-9967, 15p
- Publication Year :
- 2021
-
Abstract
- Synthetic aperture radar (SAR) is a valuable tool for lake ice monitoring. The recently proposed SAR configuration for Earth observation called compact polarimetric (CP) SAR could be a good compromised choice between conventional (single or dual) and fully polarimetric (FP) SAR for operational ice applications, including lake ice. Given its enhanced radar target information compared with conventional SAR systems over wider swath coverage compared with FP SAR, CP systems could play important role in the new generation of Earth observation systems. Herein, we study the evolution of CP SAR parameters from simulated CP SAR data in relation to early ice growth. Focus of the study is on four lakes located in Cornwallis Island, Canadian Central Arctic. We adopt parameters extracted from dual circular polarimetric and right circular transmit, linear (horizontal and vertical) receive configurations. In this study, we consider the ice thickness calculated from an established empirical model. Meteorological and ice climatological data were used to support the analysis. Results demonstrated a potential connection between a number of CP parameters and lake ice growth. Furthermore, we were able to highlight the relationship between the density of air bubbles in ice layer and the intensity of volume scattering mechanism, leading to the identification of lakes with increased gas production activities. Thus, differences between lakes in terms of density of air bubbles were detected and statistically evaluated. [ABSTRACT FROM AUTHOR]
- Subjects :
- ICE on rivers, lakes, etc.
SUBGLACIAL lakes
SYNTHETIC aperture radar
RADAR targets
Subjects
Details
- Language :
- English
- ISSN :
- 01962892
- Volume :
- 59
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Geoscience & Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 153854155
- Full Text :
- https://doi.org/10.1109/TGRS.2021.3050754