In India, agriculture serves as the backbone of the economy, and is a primary source of
employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and …

Multispectral technology has a wide range of applications in agriculture. By obtaining
spectral information during crop production, key information such as growth, pests and …

We propose a new architecture based on a fully connected feed-forward Artificial Neural
Network (ANN) model to estimate surface soil moisture from satellite images on a large …

Live fuel moisture content (LFMC) is an important index used to evaluate the wildfire risk and
fire spread rate. In order to further improve the retrieval accuracy, two ensemble models …

The retrieval of soil moisture information with spatially and temporally high resolution from
Synthetic Aperture Radar (SAR) observations is still a challenge. By using multi-orbit …

Reliable near-surface soil moisture (θ) information is crucial for supporting risk assessment
of future water usage, particularly considering the vulnerability of agroforestry systems of …

Precise information on soil moisture (SM) and crop water dynamics is essential for
hydrological and agricultural applications. The SM measurements from SAR data are …

Earth Observation (EO) technologies have played an increasingly important role in
monitoring the Sustainable Development Goals (SDG). These technologies often combined …

Accurate measurement of soil moisture (SM) is crucial for understanding crop growing
conditions, optimizing irrigation practices, and early detection of drought. Synthetic aperture …

Producing precise soil moisture maps through soil moisture modeling is highly valued for a
variety of purposes, such as agricultural productivity, water resource management, climate …