Results 261 to 270 of about 159,878 (310)

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

Generating high accuracy multi-layer soil moisture at daily scale in the black soil region of China. [PDF]

open access: yesSci Data
Chen L   +9 more
europepmc   +1 more source

Predicting the seasonal distribution of fall armyworm in North America using species distribution models

open access: yesPest Management Science, Volume 82, Issue 1, Page 560-570, January 2026.
The species distribution model predicts fall armyworm habitat expands in summer, covering much of the central and eastern USA in July–August, before contracting again in September. Abstract BACKGROUND Species distribution models (SDMs) are widely used in pest management to predict outbreak areas.
Fan‐Qi Gao   +4 more
wiley   +1 more source

Tropical deforestation is associated with considerable heat-related mortality. [PDF]

open access: yesNat Clim Chang
Reddington CL   +6 more
europepmc   +1 more source

Cyanobacterial Blooms Prediction in China's Large Hypereutrophic Lakes Based on Modis Observations and Bayesian Theory

open access: green
Yichen Du   +9 more
openalex   +1 more source

Toward Amorphous CuI‐Alloys Deposited by Magnetron Cosputtering: Structural and Microstructural Investigations

open access: yesphysica status solidi (b), Volume 263, Issue 1, January 2026.
The present study reports on the deposition of CuI solid solution thin films using reactive magnetron cosputtering in an iodine (I2) and argon (Ar) atmosphere. The objective is to suppress the formation of the γ‐CuI zincblende phase, thereby obtaining a transparent, amorphous semiconductor.
Christiane Dethloff   +4 more
wiley   +1 more source

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