Amongst the potential applications of SAR data in Canada, snow monitoring has certainly been one catching the interest of many. In the 90’s, INRS worked on an approach that would combine SAR data (ERS-1, RADARSAT-1) and field measurements for SWE estimation (EQeau model). After an exhaustive sensitivity analysis of this model, some improvements were done. The approach was then ready to be teste...

The surface displacement by seasonally freezing bulge and thawing subsidence are main hazards for engineering construction in permafrost regions, especially for the Qinghai-Tibet railway. For detecting the distortion at permafrost area, we try to study the interferometric method of monitoring the deformation at permafrost area with time-series EnviSat ASAR data. In this paper, the coherence cha...

A change detection algorithm is applied on a three year time series of ASAR Wide Swath images in VV polarization over Calabria, Italy, in order to derive information on temporal soil moisture dynamics. The algorithm, adapted from an algorithm originally developed for ERS scatterometer, was validated using a simple hydrological model incorporating meteorological and pedological data. Strong posi...

Envisat Advanced Synthetic Aperture Radar (ASAR) dual-polarization data are shown to be effective for regional forest monitoring. To this scope, an automatic SAR image preprocessing procedure was developed using SRTM DEM and Landsat TM image for geocoding in rugged terrain and smooth terrain areas, respectively. An object-oriented forest and non-forest classif ication method was then proposed b...

Due to annual flooding the Niger Inland Delta plays an important role in the Sahel. The flooding influences deciding the land covers inside and in the immediate vicinity of the delta. Using remote sensing technology is an effective way to observe and verify changes in landscape. With its weather and daylight independence Synthetic Aperture Radar (SAR) data emphasize as particularly suitable for...

SAR (Synthetic Aperture Radar) has become a useful and efficient method for monitoring flood extent due to its capability of 24-hour and all weather observation. In this paper, a novel approach is proposed to extract water bodies from ASAR dual-polarized images. Firstly, a new SAR image was created from ASAR Dual-Polarized data using a discrete wavelet transformation (DWT) fusion method. Then, ...

In this paper, multi-frequency synthetic aperture radar (SAR) data at L- and C-bands (ALOS PALSAR Envisat/ASAR) were used to estimate forest biomass in Tuscany, Central Italy. The ground measurements of woody volume (WV, m3/ha), which can be considered as a proxy biomass, retrieved from the Italian National Forest Inventory (NFI). After preliminary investigation assess sensitivity backscatter C...

This paper focuses on the optimization of the image quality for the ENVISAT ASAR ScanSAR modes. The best tradeoff between Noise Equivalent 0 (NE 0) and Equivalent Number of Looks (ENL) is achieved by optimizing both system and processing parameters within the instrument constraints. An end-to-end model to validate the study has been used. Thereafter a novel phase preserving focusing technique i...