Results 221 to 230 of about 65,417 (304)

Grain Size Sorting and Steady Bars Formation in Straight Channels—Part 1: Laboratory Experiments

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 6, June 2026.
Abstract Surface grain size in gravel‐bed rivers is inherently heterogeneous, with marked spatial variability that remains challenging to predict, even in the presence of regular bedforms. This study investigates surface grain size variability on self‐formed alternate bars at the scale of a single bar unit, and is divided in two parts.
Marco Redolfi   +3 more
wiley   +1 more source

PHOTOGRAMMETRY

open access: yes, 2018
Hess, Mona   +2 more
openaire   +1 more source

Reactivation Mechanism of Dormant Earthflows: Insights From the San Benedetto Landslide (Northern Apennines, Italy)

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 6, June 2026.
Abstract Earthflows are landslides in fine‐grained materials that alternate long dormant phases of very slow movement with short paroxysmal stages of rapid motion. These rapid phases are highly destructive, often causing severe damage to buildings and infrastructure.
M. Berti   +11 more
wiley   +1 more source

Rapid, without focus stacking, 3D photogrammetric digitization of cockroaches. [PDF]

open access: yesPLoS One
Berger J   +4 more
europepmc   +1 more source

Stream Temperature Response to Increased Shading Due To Riparian Shrubification in Northern Latitudes

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 6, June 2026.
Abstract Global warming is causing rapid and profound impacts on northern ecosystems. Shifting precipitation, permafrost thaw, and rapid shrub advance into tundra environments are combining to alter stream temperature in uncertain ways. The expansion and increased abundance of shrub vegetation, termed shrubification, may moderate warming stream ...
Andras J. Szeitz   +5 more
wiley   +1 more source

Reconstructing Digital Elevation Models From Single Synthetic Aperture Radar Images

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Traditional radar‐based methods of generating topography involve complex dual‐antenna or formation‐flying satellite configurations, interferometric processing, and specialized expertise. We present an approach for reconstructing digital elevation models (DEMs) from single Synthetic Aperture Radar (SAR) images using deep learning.
W. Hamish Mitchell   +3 more
wiley   +1 more source

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