One of the objectives of Forest Dragon 2 project is the generation of a forest cover change map between 1990s and 2000s for Northeast China based on ERS-1/2 tandem data and ENVISAT ASAR data. For the 1990s’ map, an automatic and seasonal-adaptive retrieval of forest biomass method was used to produce a forest biomass map based on the ERS tandem interferometric coherence. The biomass map was int...

Most paddy rice in the world grows in warm, humid and rainy environment where it is hard to acquire optical remote sensing data. Synthetic Aperture Radar (SAR) can acquire remote sensing information due to its all weather imaging and frequent revisit capability in the areas. A semi-empirical backscattering model was used to estimate leaf area index (LAI) from ENVISAT ASAR (Advanced Synthetic Ap...

Wetlands are one of the most important ecosystems on Earth. There is an urgent need to quantify the biophysical parameters (e.g., plant height, aboveground biomass) and map total remaining areas of wetlands in order to evaluate the ecological status of wetlands. In this study, Environmental Satellite/Advanced Synthetic Aperture Radar (ENVISAT/ASAR) dual-polarization C-band data acquired in 2005...

Remote sensing methods to derive snow properties using both optical and SAR data are presented. The assimilation of the remote sensing products in the water balance and rainfall-runoff model LARSIM is demonstrated. The flood forecast centre in Karlsruhe applies LARSIM for the operational runoff forecast of the Neckar in the South West of Germany. A fully automatic algorithm to derive snow cover...

We describe work conducted to calibrate and then validate the geometry of ENVISAT ASAR products. A systematic error in range location was observed in ASAR products during the commissioning phase. A careful and complete analysis has been performed to establish the precise error. It has been compensated by updating the range gate bias (or sampling window start time bias). Validation of the absolu...

A combined use of SAR (ERS-1, ERS-2 and Envisat), visible and thermal infrared (NOAA AVHRR) and microwave radiometric (Aqua AMSR-E) images as well as the results of modeling were integrated to associate the SAR backscatter patterns observed in warm and cold seasons to physical and biological forcing processes between southern Sakhalin and northern Hokkaido-Kuril Islands. The Soya Warm Current f...

The polarimetric Synthetic Aperture Radar (SAR) data sets have been widely exploited for land use cover (LULC) classification due to their sensitivity the structural and dielectric properties of imaging target. In this study, potential fully L- S-band Airborne SAR (LS-ASAR) were explored machine-learning-based Urban, Vegetation, Waterbody, Open Ground. This work was done by utilizing dual-frequ...