Results 71 to 80 of about 4,456 (198)

Gradient‐Free Online Learning of Subgrid‐Scale Dynamics With Neural Emulators

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract In this paper, we propose a generic algorithm to train machine learning‐based subgrid parametrizations online, that is, with a posteriori loss functions, but for non‐differentiable numerical solvers. The proposed approach leverages a neural emulator to approximate the reduced state‐space solver, which is then used to allow gradient propagation
H. Frezat, R. Fablet, G. Balarac, J. Le Sommer   +3 more
wiley   +1 more source

Inversion of Boreal Forest Height Using the CRITIC Weighted Least Squares Three-Stage Temporal Decorrelation Iterative Algorithm

Remote Sensing
The inversion of forest height using the RVoG (Random Volume over Ground) model is susceptible to overestimation or underestimation due to three error sources, propagating inaccuracies to the estimated forest height. Furthermore, variations in the height
Ao Sui, Wenyi Fan
doaj   +1 more source

Impacts of Temporal-Spatial Variant Background Ionosphere on Repeat-Track GEO D-InSAR System

Remote Sensing, 2016
An L band geosynchronous synthetic aperture radar (GEO SAR) differential interferometry system (D-InSAR) will be obviously impacted by the background ionosphere, which will give rise to relative image shifts and decorrelations of the SAR interferometry ...
Cheng Hu, Yuanhao Li, Xichao Dong, Chang Cui, Teng Long   +4 more
doaj   +1 more source

Assessing Fire‐Induced Permafrost Ground Deformation and Environmental Drivers Using Interferometric Synthetic Aperture Radar and Machine Learning

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Arctic fires in permafrost landscapes have become more frequent in recent years with record fire years in Eastern Siberia in 2019, 2020 and 2021. The consumption of organic layer and charring of the landscape can deepen active layer and long‐term permafrost ground deformation.
Sonam Wangchuk, Simone Maria Stuenzi, Moritz Langer, Ping Lu, Roger Michaelides, Kevin Schaefer, Sander Veraverbeke   +6 more
wiley   +1 more source

Evaluating the Potential and Added Value of Interferometric Coherence in Flood Mapping Across Various Environments [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Flood mapping is one of the most important applications of Synthetic Aperture Radar (SAR) because it can monitor the earth’s surface under all-weather, day-and-night conditions.
S. F. Hotaki, M. Haghshenas Haghighi, M. Motagh, M. Motagh   +3 more
doaj   +1 more source

Can a Persistence‐Based Prediction of GRACE Gravity Field Coefficients Reduce Uncertainties at Finer Temporal Scales?

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Enhancing the applicability of Gravity Recovery and Climate Experiment (GRACE) products poses challenges due to the trade‐off between the temporal and the spatial resolution within limits posed by the mission design. If a Kalman filter framework was adopted to characterize the relationship between monthly and finer temporal scales, it could ...
D. Kankanige, B. D. Vishwakarma, Y. Y. Liu, A. Sharma   +3 more
wiley   +1 more source

Comparison of L-band and X-band differential interferometric synthetic aperture radar for mine subsidence monitoring in central Utah

International Journal of Mining Science and Technology, 2017
Differential interferometric synthetic aperture radar (DInSAR), a satellite-based remote sensing technique, has potential application for measuring mine subsidence on a regional scale with high spatial and temporal resolutions.
Jessica M. Wempen, Michael K. McCarter
doaj   +1 more source

CbPM Estimates of Net Primary Production in the North Atlantic From Profiling Floats and Satellites Diverge Seasonally Due To Fluorescence and Vertical Extrapolation Effects

Global Biogeochemical Cycles, Volume 40, Issue 8, August 2026.
Abstract Marine net primary production (NPP), defined as the difference between gross production and phytoplankton respiration, is often estimated using algorithms applied to remote sensing data. While assumptions are needed to extend surface satellite observations through depth, some NPP algorithms, like the Carbon‐based Productivity Model (CbPM ...
Nina Buzby, Andrea J. Fassbender, Alison R. Gray, Marin Cornec, Jacki Long, Ellen Park   +5 more
wiley   +1 more source

Shaking‐Induced Small Seismic Velocity Changes as Revealed From Seismic Interferometry Analysis of Distributed Acoustic Sensing Data

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract Understanding the spatio‐temporal variations in the physical properties of the Earth's crust is crucial for comprehending the dynamic processes linked to earthquakes. Conventional seismometer‐based analyses have limitations in spatio‐temporal resolution due to the sparse station distribution.
Takashi Hirose, Takeshi Nishimura, Hisashi Nakahara, Kimiko Taguchi, Haruhisa Nakamichi, Kentaro Emoto, Satoru Hamanaka   +6 more
wiley   +1 more source

Global Coverage of Sentinel-1 and Spaceborne LiDAR: A Data-Driven Foundation for Forest Height Estimation [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
While polarimetric interferometric SAR techniques provide a strong theoretical framework for forest height retrieval, their application using C-band Sentinel-1 data is challenging due to repeat-pass acquisition geometry and strong temporal decorrelation.
H. Aghababaei, G. Ferraioli, J. Praks, E. Tomppo, G. Schirinzi   +4 more
doaj   +1 more source