Results 51 to 60 of about 1,044 (196)

Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States

Remote Sensing, 2023
The retrieval of soil moisture (SM) using the Global Navigation Satellite System-Reflectometry (GNSS-R) technique has become a prominent topic in recent years.
Qidi Luo, Yueji Liang, Yue Guo, Xingyong Liang, Chao Ren, Weiting Yue, Binglin Zhu, Xueyu Jiang   +7 more
doaj   +1 more source

Beyond SMAP: Can GNSS‐R Platforms Ensure Continuity of Global Soil Moisture Observations?

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract The absence of a definitive follow‐on strategy for the Soil Moisture Active Passive (SMAP) mission, which has already surpassed its planned mission lifetime, presents a significant challenge for the hydrological science community. GNSS‐Reflectometry (GNSS‐R), which exploits reflected satellite navigation signals, has emerged as a rapidly ...
Ehsan Jalilvand, Sujay V. Kumar, Rajat Bindlish, Jerry W. Wegiel, Mehmet Kurum, Hyunglok Kim, Pang‐Wei Liu, Mahdi Navari   +7 more
wiley   +1 more source

Temporal-Spatial Soil Moisture Estimation from CYGNSS Using Machine Learning Regression With a Preclassification Approach [PDF]

, 2021
Global Navigation Satellite System-Reflectometry (GNSS-R) can retrieve Earth's surface parameters, such as soil moisture (SM) using the reflected signals from GNSS constellations with advantages of non-contact, all-weather, real-time, and continuity ...
Y. Jia, S. Jin, Y. Yuan, Q. Yan, Y. Jin, P. Savi, H. Chen, Haolin Chen, Yan Jia, Yuan Yuan, Qingyun Yan, Yan Jin, Shuanggen Jin, Patrizia Savi   +13 more
core   +1 more source

Assessing GNSS Reflectometry for High‐Latitude 3D Ionospheric Imaging

Journal of Geophysical Research: Space Physics, Volume 131, Issue 8, August 2026.
Abstract This study investigates whether Global Navigation Satellite System Reflectometry (GNSS‐R) measurements from low‐Earth‐orbit (LEO) satellites can improve three‐dimensional (3D) ionospheric electron density imaging, with a focus on high‐latitude regions. Conventional ionospheric tomography is limited by sparse ground‐based receiver coverage over
Brenna Royersmith, Brian Breitsch, Jade Y. Morton   +2 more
wiley   +1 more source

Evaluation of the Ocean Surface Wind Speed Change following the Super Typhoon from Space-Borne GNSS-Reflectometry

Remote Sensing, 2020
Ocean surface wind speed is an essential parameter for typhoon monitoring and forecasting. However, traditional satellite and buoy observations are difficult to monitor the typhoon due to high cost and low temporal-spatial resolution.
Hongsu Liu, Shuanggen Jin, Qingyun Yan
doaj   +1 more source

Sensitivity of Tropical Cyclone Forecasts to the Loss of Low Earth Orbit Satellite Observations

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract Tropical cyclones are among the most destructive natural hazards, impacting millions of people worldwide each year. Accurate and timely forecasts are therefore essential for effective preparedness and risk mitigation. Forecast skill depends on both the performance of numerical weather prediction models and the observations assimilated into the
Isaac Moradi, Satya Kalluri, Vijay Tallapragada, Yanqiu Zhu   +3 more
wiley   +1 more source

Introducing Reflected GNSS TEC Data Into ANCHOR Ionospheric Data Assimilation Model

Space Weather, Volume 24, Issue 5, May 2026.
Abstract ANCHOR is a novel data assimilation (DA) algorithm developed at the U.S. Naval Research Laboratory to improve ionospheric nowcasting by increasing accuracy and decreasing computational cost. As a parameterized DA model, ANCHOR represents the ionosphere using physical parameters such as the F2 layer peak (Nm $Nm$F2), which characterizes a ...
Brenna Royersmith, Victoriya V. Forsythe, Brian Breitsch, Meghan R. Burleigh, Kate A. Zawdie, Y. Jade Morton   +5 more
wiley   +1 more source

Unlocking the potential of CYGNSS for pan-tropical inland water mapping through multi-source data and transformer

International Journal of Applied Earth Observations and Geoinformation
Cyclone Global Navigation Satellite System (CyGNSS) data are widely recognized for their sensitivity to inland water bodies. However, the detection of water bodies using single CyGNSS data is subject to uncertainties, presenting challenges for large ...
Yuhan Chen, Qingyun Yan
doaj   +1 more source

Depth‐Aware Global Calibration of SM2RAIN‐NWF Using Growing Neural Gas‐Derived Hydroclimatic Clusters Across Heterogeneous Soils

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract Accurate rainfall information underpins land‐surface water budgets, extreme‐weather analyses, and climate‐model evaluation. Yet in many regions, rain gauge networks are sparse, making conventional calibration of bottom up rainfall products difficult. To address this, we propose a self calibration framework that removes the need for a dedicated
Mohammad Saeedi, Subin Kim, Euiyoung Choi, Hyunglok Kim, Venkataraman Lakshmi   +4 more
wiley   +1 more source

Evaluation of Spaceborne GNSS-R Retrieved Ocean Surface Wind Speed with Multiple Datasets

Remote Sensing, 2019
Spaceborne Global Navigation Satellite Systems-Reflectometry (GNSS-R) can estimate the geophysical parameters by receiving Earth’s surface reflected signals. The CYclone Global Navigation Satellite System (CYGNSS) mission with eight microsatellites
Zhounan Dong, Shuanggen Jin
doaj   +1 more source