Abstract Ten years of L-band radiometric measurements have proven the capability satellite sea surface salinity (SSS) to resolve large-scale-to-mesoscale SSS features in tropical subtropical ocean. In mid-to-high latitudes, still suffer from large-scale and time-varying errors. Here, a simple method is proposed mitigate First, an optimal interpolation using large correlation scale (~500 km) use...

We present the dielectric relaxation properties of ferroelectric smectic-A (SmAP F ) phase formed by a mixture bent-shaped dimeric molecules α,ω-bis(4-alkoxyanilinebenzylidene-4′-carbonyloxy)pentanes with different alkyl chain lengths.

Soil moisture (SM) downscaling has been extensively investigated in recent years to improve coarse resolution of SM products. However, available methods for are generally based on pixel-to-pixel strategy, which ignores the information among pixels. Hence, a new method convolutional neural network (CNN) is proposed solve problem. Furthermore, weight layer designed input, and residual treated as ...

The Stock Market is one of the most rapidly emerging markets in country as participation retail investors has increased significantly this pandemic.Since there are no specific rules to compute or predict price a stock, it becomes very difficult for first-time invest share market. Methodologies such technical analysis, fundamental time series and statistical etc. all used estimate stocks but sin...

Occupancy grids are the most common framework when it comes to creating a map of the environment using a robot. This paper studies occupancy grids from the motion planning perspective and proposes a mapping method that provides richer data (map) for the purpose of planning and collision avoidance. Typically, in occupancy grid mapping, each cell contains a single number representing the probabil...

Soil moisture operational product system (SMOPS) is developed by National Oceanic and Atmospheric Administration (NOAA) to provide the real-time blended soil (SM) for numeric weather prediction national water model applications. However, all individual satellite SM data ingested into current SMOPS are scaled global land assimilation (GLDAS) 0–10 cm climatology before combination. As a result, u...

In this paper, we investigate the potential of the compact polarimetry mode at longer wavelengths from space for soil moisture estimation using SMAP data. Compact polarimetry consists of transmitting a single polarization while receiving two polarizations. At longer wavelengths, one of the main challenges associated with compact polarimetry from space is Faraday rotation estimation and correcti...

It is clear there is a dire need of both soil moisture measurements and sea surface salinity retrievals as they are key parameters of the Earth system. To access them in a global and reliable fashion it seems that – even if complemented by other measurements, L-band radiometry is currently the best choice. The advantages are linked to an optimal trade off between high sensitivity to soil moistu...