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Deriving Gridded Soil Moisture Estimates Using Earth Observation Data and a Process Informed Statistical Machine Learning Approach

open access: yesMeteorological Applications, Volume 33, Issue 1, January/February 2026.
A process‐informed machine learning approach, which included dynamic and static earth observation data and trained on in situ data from the United Kingdom, was capable of reproducing measured in situ values from locations not included in the model training. The model was then employed to derive daily, gridded estimates of soil moisture for Ireland. The
Rowan Fealy   +4 more
wiley   +1 more source

Assessing Temporal Drought Severity in Kenya's Arid and Semi‐Arid Landscape Using Google Earth Engine and the Normalised Difference Drought Index

open access: yesMeteorological Applications, Volume 33, Issue 1, January/February 2026.
Utilisation of Google Earth Engine to analyse Normalised Difference Drought Index trends in Narok (Kenya) across six timeframes. Trends revealed increased severe and moderate drought conditions and decreased drought conditions. Temporal increase has been on the rise from 2015, with extreme events most witnessed in 2020.
Brian Marvis Waswala‐Olewe   +4 more
wiley   +1 more source

"King of the Riverside", a multi-proxy approach offers a new perspective on mosasaurs before their extinction. [PDF]

open access: yesBMC Zool
During MAD   +5 more
europepmc   +1 more source

Introduced wild pigs affect the foraging ecology of a native predator as both prey and scavenger

open access: yesWildlife Biology, Volume 2026, Issue 1, January 2026.
Introduced species can disrupt trophic interactions by acting as novel predators, prey, or scavengers. Predicting the impacts of these disruptions can be integral to the conservation of native species and the maintenance of ecological function, but is challenging, especially for species involved in multiple trophic interactions.
Mitchell A. Parsons   +4 more
wiley   +1 more source

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