This review provides a detailed synthesis of various in-situ, remote sensing, and machine
learning approaches to estimate soil moisture. Bibliometric analysis of the published …

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 …

A digital twin basin serves as a virtual representation of a physical basin, enabling
synchronous simulation, virtual–real interaction, and iterative optimization. The construction …

In this article, seven filter algorithms were compared. The Lee sigma method was more
suitable for estimating soil moisture (SM) than the other filtering methods under different land …

This study compares the utility of multifrequency SAR and Optical multispectral data for land-
cover classification of Mumbai city and its nearby regions with a special focus on water body …

Network coverage is a pivotal performance metric of wireless multihop networks (WMNs)
determining the quality of service rendered by the network. Earlier, a few studies have …

We apply the Support Vector Regression (SVR) machine learning model to estimate surface
roughness on a large alluvial fan of the Kosi River in the Himalayan Foreland from satellite …

Node localisation plays a critical role in setting up Wireless Sensor Networks (WSNs). A
sensor in WSNs senses, processes and transmits the sensed information simultaneously …

A complete annual cycle of the dynamics of fine-grained sediment supplied by the Omo and
smaller rivers is simulated for Lake Turkana, one of the world's large lakes, with the …

Soil moisture content (SMC) information at field scale could have important applications in
agricultural and regional water management. This study presents an operationally …