0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Marine & Wildlife Policy & Risk Sign in to save

Latest Advances in the Global Navigation Satellite System—Reflectometry (GNSS-R) Field

Remote Sensing 2023 63 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Nereida Rodriguez-Alvarez, Joan Francesc Muñoz-Martín, Mary Morris

Summary

This review provides an overview of recent advances in Global Navigation Satellite System-Reflectometry (GNSS-R) technology and its applications in Earth observation. The study covers developments in ocean monitoring, emerging land applications, and new scientific investigations using reflected satellite navigation signals, documenting the exponential growth of this remote sensing field.

Study Type Environmental

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 attention of an elevated number of research scholars, research centers and companies around the world. Primarily based on the contents of two Special Issues dedicated to the applications of GNSS-R to Earth observation, this review article provides an overview of the latest advances in the GNSS-R field. Studies are reviewed from four perspectives: (1) technology advancements, (2) ocean applications, (3) the emergent land applications, and (4) new science investigations. The technology involved in the GNSS-R design has evolved from its initial GPS L1 LHCP topology to include the use of other GNSS bands (L2, L5, Galileo, etc.), as well as consider RHCP/LHCP-receiving polarizations in order to perform polarimetric studies. Ocean applications have included developments towards ocean wind speed retrievals, swell and altimetry. Land applications have evolved considerably in the past few years; studies have used GNSS-R for soil moisture, vegetation opacity, and wetland detection and monitoring. They have also determined flood inundation, snow height, and sea ice concentration and extent. Additionally, other applications have emerged in recent years as we have gained more understanding of the capabilities of GNSS-R.

Share this paper