Endrit Shehaj

American Society for Photogrammetry and Remote Sensing — United States

Engineering · Physical Sciences

8h-index183citations38works0.62yr avg
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Research Topics

GNSS positioning and interference(26), Geophysics and Gravity Measurements(10), Ionosphere and magnetosphere dynamics(8), Meteorological Phenomena and Simulations(8), Soil Moisture and Remote Sensing(8)

Publications38 total

A feasibility study to reconstruct atmospheric rivers using space- and ground-based GNSS observations
Atmospheric measurement techniques·2025Open Access
Reply on RC1
2025Open Access
Reply on RC2
2025Open Access
A feasibility study to Reconstruct Atmospheric Rivers using space- and ground-based GNSS observations
2025Open Access
Supplementary material to "A feasibility study to Reconstruct Atmospheric Rivers using space- and ground-based GNSS observations"
2025
A machine learning framework to map Atmospheric Rivers and Planetary Boundary Layer height from GNSS radio occultation observations
2025Open Access
Global Navigation Satellite System (GNSS) radio occultation climatologies mapped by machine learning and Bayesian interpolation
Atmospheric measurement techniques·2025· 4 citedOpen Access
A Machine Learning Approach to Analyze Planetary Boundary Layer Height from GNSS Radio Occultation Observations
2025
Evaluation and Analysis of Next-Generation FY-4A LPW Products over Various Climatic Regions in China
Atmosphere·2024· 2 citedOpen Access
Retrieval of refractivity fields from GNSS tropospheric delays: theoretical and data-based evaluation of collocation methods and comparisons with GNSS tomography
Journal of Geodesy·2024· 1 citedOpen Access
Reply on RC2
2024Open Access
On the Consistency of Tropospheric Delays Over Mountainous Terrain Retrieved From Persistent Scatterer Interferometry, GNSS, and Numerical Weather Prediction Models
IEEE Transactions on Geoscience and Remote Sensing·2023· 1 cited
Reply on EC1
2023Open Access
Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches
Remote Sensing·2023· 10 citedOpen Access
GNSS Radio Occultation Climatologies mapped by Machine Learning and Bayesian Interpolation
2023· 3 citedOpen Access
Modelling the differences between ultra-rapid and final orbit products of GPS satellites using machine learning approaches
Research Square (Research Square)·2023· 8 citedOpen Access
Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region
Earth system science data·2022· 13 citedOpen Access
High-resolution tropospheric refractivity fields by combining machine learning and collocation methods to correct earth observation data
Acta Astronautica·2022· 17 citedOpen Access
Comment on essd-2022-57
2022Open Access
Supplementary material to "Tropospheric water vapor: A comprehensive high resolution data collection for the transnational Upper Rhine Graben region"
2022Open Access
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Frequent Co-authors

Alain Geiger(20), Gregor Moeller(13), Markus Rothacher(11), Benedikt Soja(10), S. S. Leroy(7), Kerri Cahoy(7), Karina Wilgan(6), Vincenzo Capuano(5), Paul Blunt(5), Cyril Botteron(5), Peng Yuan(5), Othmar Frey(4), Benjamin Fersch(4), Bernhard Heck(4), Stefan Hinz(4), Stefano D’Aronco(3), Jan Dirk Wegner(3), Andreas Schenk(3), Hansjörg Kutterer(3), Harald Kunstmann(3)