The global navigation satellite system-reflectometry (GNSS-R) field has experienced an
exponential growth as it is becoming relevant to many applications and has captivated the …

Knowledge of sea ice is critical for offshore oil and gas exploration, global shipping
industries, and climate change studies. During recent decades, Global Navigation Satellite …

In this paper, an effective schematic is developed for estimating soil moisture (SM) from
CYclone Global Navigation Satellite System (CYGNSS) data. Here, a three-layer model of …

A track of sea ice reflected Global Navigation Satellite System (GNSS) signal collected by
the TechDemoSat‐1 mission is processed to perform phase altimetry over sea ice. High …

In this letter, a scheme that uses convolutional neural networks (CNNs) is proposed for sea
ice detection and sea ice concentration (SIC) prediction from TechDemoSat-1 Global …

An algorithm for detecting coherence in Cyclone Global Navigation Satellite System
(CYGNSS) mission delay-Doppler maps (DDMs) is presented. Because CYGNSS DDMs …

Earth reflected Global Navigation Satellite System (GNSS) signals can be received by
dedicated orbital receivers for remote sensing and Earth observation (EO) purposes …

Abstract Cyclone Global Navigation Satellite System (CyGNSS) data are widely recognized
for their sensitivity to inland water bodies. However, the detection of water bodies using …

This work describes the first global scale assessment of a Global Navigation Satellite
Systems Reflectometry (GNSS-R) experiment performed on-board the Soil Moisture Active …

This study examines the potential of using bistatic radar reflections from the Global
Navigation Satellite System (GNSS) to classify sea ice types in the Arctic Ocean during the …