Wetlands are not only primary producers of atmospheric greenhouse gases but also possess unique features that are favourable for application of satellite microwave remote sensing to monitoring their status and trend. In this study we apply combined passive and active microwave remote sensing data sets from the NASA sensors AMSR-E and QuikSCAT to map surface water dynamics over Northern Eurasia....

When synthetic aperture radar interferometry (InSAR) technology is applied in the monitoring of land subsidence, the sensor band plays an important role. An X-band SAR system as TerraSAR-X (TSX) provides high resolution and short revisit time, but it has no capability of global coverage. On the other side, an L-band sensor as Advanced Land Observing Satellite-Phased Array L-band Synthetic Apert...

The purpose of this study was to examine how different polarimetric parameters and an object-based approach influence the classification results of various land use/land cover types using fully polarimetric ALOS PALSAR data over coastal wetlands in Yancheng, China. To verify the efficiency of the proposed method, five other classifications (the Wishart supervised classification, the proposed me...

This paper presents a first calibration and quality analysis of Pol−InSAR data acquired by the ALOS−PalSAR based on deterministic and extended scatterers. The calibration of Pol−InSAR data requires the estimation and compensation of polarimeteric and interferometric system and propagation (through the ionosphere and atmosphere) induced distortions. Constant phase errors/offsets appear in the po...

Shortly after the launch of ALOS PALSAR L-band SAR by the Japan Space Exploration Agency (JAXA), a program to develop an Earth Science Data Record (ESDR) for inundated wetlands was funded by NASA. Using established methodologies, extensive multi-temporal L-band ALOS ScanSAR data acquired bi-monthly by the PALSAR instrument onboard ALOS were used to classify the inundation state for South Americ...

Owing to the development of spaceborne synthetic aperture radar (SAR) platforms, and in particular the increase in the availability of multi-source (multi-band and multi-resolution) data, it is now feasible to design a surface displacement monitoring application using multi-temporal SAR interferometry (MT-InSAR). Landslides have high socio-economic impacts in many countries because of potential...

Classification of polarimetric SAR images has become a very important topic after the availability of Polarimetric SAR images through different sensors like SIR-C, ALOS-PALSAR etc. In this paper we studied effect of different decomposition techniques on the classification accuracy for polarimetric SAR data. We applied different target decomposition techniques (both coherent and incoherent) on A...

Soil moisture effects limit radar-based aboveground biomass carbon (AGBC) prediction accuracy as well lead to stripes between adjacent paths in regional mosaics due varying soil conditions on different acquisition dates. In this study, we utilised the semi-empirical water cloud model (WCM) account for backscattering from AGBC retrieval L-band radar imagery central Mozambique, where woodland eco...