Results 161 to 170 of about 8,117 (279)
Response of GNSS-R on Dynamic Vegetated Terrain Conditions. [PDF]
IEEE J Sel Top Appl Earth Obs Remote Sens, 2019 Eroglu O, Kurum M, Ball J.
europepmc +1 more source
Inventory of published GNSS-R stations, with focus on ocean as target and SNR as observable
, 2020 Felipe Geremia‐Nievinski +2 more
openalex +1 more source
FA-RDN: A Hybrid Neural Network on GNSS-R Sea Surface Wind Speed Retrieval [PDF]
, 2021 Xiaoxu Liu +10 more
openalex +1 more source
Space Weather, Volume 24, Issue 2, February 2026.Abstract Auroral substorms are a key manifestation of solar‐terrestrial interactions and the release of energy within the Earth's magnetosphere. The expansion phase, which is characterized by rapid changes in auroral morphology and intensity, poses significant space weather risks to satellite operations and communication systems.
Qiuju Yang +3 more
wiley +1 more source
GNSS-R with Low-Cost Receivers for Retrieval of Antenna Height from Snow Surfaces Using Single-Frequency Observations. [PDF]
Sensors (Basel), 2019 Rover S, Vitti A.
europepmc +1 more source
Improved Water Level Retrieval from Epoch-by-Epoch Single and Double Difference GNSS-R Algorithms
, 2016 Nazi Wang, Bao Lifeng, Fan Gao
openalex +2 more sources
Tidal harmonics retrieval using GNSS-R dual-frequency complex observations [PDF]
, 2023 Mahmoud Rajabi +7 more
openalex +1 more source
Observation‐Driven Forecast of Global Terrestrial Water Storage and Evaluation for 2010–2024
Water Resources Research, Volume 62, Issue 2, February 2026.Abstract Since 2002, the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow‐On (GRACE/‐FO) satellite missions have provided unprecedented measurements of terrestrial water storage changes (TWSC). These data are essential for monitoring the global water cycle, supporting drought and flood risk management, and informing water‐related ...
Fupeng Li, Jürgen Kusche
wiley +1 more source
Methods in Ecology and Evolution, Volume 17, Issue 2, Page 339-356, February 2026.Abstract Collection of large behavioural data‐sets on wild animals in natural habitats is vital in ecology and evolution studies. Recent progress in machine learning and computer vision, combined with inexpensive microcomputers, has unlocked a new frontier of fine‐scale markerless measurements.
Michael Chimento +3 more
wiley +1 more source
Methods in Ecology and Evolution, Volume 17, Issue 2, Page 488-496, February 2026.Abstract Thermal cameras on unoccupied aerial vehicles (UAVs) are increasingly being used in environmental and ecological research, including hydrology, wildfire detection and prediction, urban heat studies, precision agriculture, ecosystem functioning, wildlife monitoring and microclimate studies.
Christophe Metsu +3 more
wiley +1 more source