Results 131 to 140 of about 23,028 (236)

Edge-aware nonlinear diffusion-driven regularization model for despeckling synthetic aperture radar images

open access: yesEURASIP Journal on Image and Video Processing
Speckle noise corrupts synthetic aperture radar (SAR) images and limits their applications in sensitive scientific and engineering fields. This challenge has attracted several scholars because of the wide demand of SAR images in forestry, oceanography ...
Anthony Bua   +3 more
doaj   +1 more source

Advanced study of coastal zone oceanographic requirements for ERTS E and F [PDF]

open access: yes
Earth Resources Technology Satellites E and F orbits and remote sensor instruments for coastal oceanographic data ...
Adams, D. A.   +6 more
core   +1 more source

Tracking Water Dynamics of a Temperate Forest Under Drought and Non‐Drought Conditions Using Active and Passive Microwave and Optical Remote Sensing

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 5, May 2026.
Abstract Water status, water dynamics, and ecohydrological resilience of a protected German beech forest during the 2018–2020 multi‐year drought are assessed using over six years of multi‐frequency remote sensing data, integrating active, passive, and optical sensors with varying canopy penetration depths, highlighting the importance of monitoring ...
Florian M. Hellwig   +10 more
wiley   +1 more source

Monitoring of oil slicks in the Persian Gulf using Sentinel 1 images

open access: yesJournal of Ocean Engineering and Science
Sentinel1 data were applied to monitor oil pollution in the Persian Gulf in the vicinity of a Hormuz Strait. Radar images were recorded by sentinel 1 A from January to July 2020.
Javad Babagolimatikolaei
doaj   +1 more source

Satellite remote sensing facility for oceanograhic applications [PDF]

open access: yes
The project organization, design process, and construction of a Remote Sensing Facility at Scripps Institution of Oceanography at LaJolla, California are described.
Evans, R. H.   +2 more
core   +1 more source

Enhancing Regional Ensemble‐Variational Data Assimilation for Convection‐Permitting Prediction With Combination of the Dual‐Localization and Scales Blending of Global and Regional Ensembles

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract This study proposes a new scheme combining ensemble blending and dual‐localization of ensemble error covariance in an ensemble‐variational (EnVar) framework to better account for both the multi‐scale characteristics of the background and background error covariance for high‐resolution data assimilation and forecasting.
Yuanbing Wang   +5 more
wiley   +1 more source

The Bering Sea ice cover during March 1979: Comparison of surface and satellite data with the Nimbus-7 SMMR [PDF]

open access: yes
During March 1979, field operations were carried out in the Marginal Ice Zone (MIZ) of the Bering Sea. The field measurements which included oceanographic, meteorological and sea ice observations were made nearly coincident with a number of Nimbus-7 and ...
Cavalieri, D. J.   +3 more
core   +1 more source

Fabric, Texture, and Bubble Characteristics of the Million‐Year Old Allan Hills Blue Ice Core ALHIC1901

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.
Abstract Ice cores from the Allan Hills blue ice area in Antarctica have been dated to several million years of age. However, the stratigraphy of these cores is often disturbed, and age reversals are common, hampering the interpretation of the derived climate records.
Nicolas Stoll   +13 more
wiley   +1 more source

Oceanography radar system WERA: features, accuracy, reliability and limitations

open access: yesTurkish Journal of Electrical Engineering and Computer Sciences, 2010
LEIF PETERSEN   +2 more
openaire   +1 more source

Summary of the active microwave users workshop [PDF]

open access: yes
A coordinated microwave applications development program was initiated to improve the capability to: (1) identify, monitor, and assess the earth's resources; and (2) monitor the earth's environment and predict significant changes. The program consists of

core   +1 more source

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