Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

In 2009, the International Soil Moisture Network (ISMN) was initiated as a community effort,
funded by the European Space Agency, to serve as a centralised data hosting facility for …

The continuous increase in the volume of geospatial data has led to the creation of storage
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …

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 …

Abstract Google Earth Engine (GEE) is a geospatial processing platform based on geo-
information applications in the 'cloud'. This platform provides free access to huge volumes of …

In the last decade there has been a proliferation of research on misinformation. One
important aspect of this work that receives less attention than it should is exactly why …

Soil moisture information is key to irrigation water management, drought monitoring, and
yield prediction. It plays a vital role in the water cycle and energy budget between the earth's …

Soil moisture (SM) is an important biophysical parameter by which to evaluate water
resource potential, especially for agricultural activities under the pressure of global warming …

The present study provided the first-time comprehensive evaluation of 12 advanced
statistical and machine learning (ML) algorithms for the Soil Moisture (SM) estimation from …

Soil Moisture (SM) monitoring is crucial for various applications in agriculture, hydrology,
and climate science. Remote Sensing (RS) offers a powerful tool for large-scale SM …