The objective of this paper is to investigate the potential of sentinel-1 SAR sensor products
and the contribution of soil roughness parameters to estimate volumetric residual soil …

Passive microwave remote sensing is one of the most promising techniques for soil moisture
retrieval. However, the inversion of soil moisture from brightness temperature observations …

Soil moisture is the basic condition required for crop growth and development. Gaofen‐3
(GF‐3) is the first C‐band synthetic‐aperture radar (SAR) satellite of China, offering broad …

A common practice to capture the non-stationary characteristics of the time series data in
Artificial Neural Network (ANN) is by randomly dividing the whole set of available data into …

This paper outlines two hybrid approaches to investigate the nonlinear relationship between
size of a forest fire and meteorological variables (temperature, relative humidity, wind speed …

The application of satellite imageries has increased in the field of hydrology and water
resources in recent years. However, challenges have been encountered on obtaining …

Retrieving information from remotely sensed data is an important task. In the present work,
data of L band microwave radiometer has been used to collect the brightness temperature …

An artificial neural network (ANN) model was employed to predict the soil cohesion and soil
internal friction angle. The soil samples were collected from different cultivated sites in seven …

The microwave response of bare soil surfaces is influenced by a variety of parameters such
as surface roughness, vegetation density, soil texture and soil moisture. It makes the soil …

In this paper, an Artitifial Neural Network (ANN) model was developed to downscale the soil
moisture content from low resolution L-band passive microwave observation. Using the …