Results 271 to 280 of about 159,878 (310)

MODLEN: A semi-automated algorithm for monitoring small-scale thermal activity at Oldoinyo Lengai Volcano, Tanzania [PDF]

, 2006
BELTON, F, Ernst, Gerald, HARRIS, A, Jacobs, Patric, Kervyn de Meerendre, Matthieu, MBEDE, E   +5 more
core   +1 more source

Forecasting Influenza Epidemics and Pandemics in the Age of AI and Machine Learning

Reviews in Medical Virology, Volume 36, Issue 1, January 2026.
ABSTRACT Influenza's rapid evolution, driven by its segmented RNA genome, high mutation rate, and extensive animal reservoirs, underpins its capacity to cause recurring epidemics and unpredictable pandemics. Recent advances in artificial intelligence (AI) and machine learning (ML) are transforming influenza forecasting by enabling the prediction of ...
Oleksandr Kamyshnyi, Iryna Halabitska, Valentyn Oksenych, Iryna Kamyshna, Pavlo Petakh, Denis E. Kainov   +5 more
wiley   +1 more source

Air quality prediction using multi-source remote sensing data integration with hybrid deep learning framework. [PDF]

Sci Rep
Kalaiselvi S, Anitha V, Manimaran V, Lawrence TS.   +3 more
europepmc   +1 more source

Drought Assessment in Karnataka’s Western Ghats Using MODIS-Derived Vegetation Condition Index

Anshul Yadav, A. R., M. Subramaniam, D Anil   +3 more
openalex   +2 more sources

Monitoring of riverine wetland dynamics with MODIS images [PDF]

, 2003
Gross, D., Vekerdy, Zoltán
core  

Zooming Out: Methods and Future Directions in Landscape‐Scale Functional Assessment of Inland Wetlands

WIREs Water, Volume 13, Issue 1, January/February 2026.
Wetlands provide essential landscape functions, retaining water and nutrients, supporting biodiversity, and sequestering carbon, but assessing these functions at large spatial scales remains challenging. This systematic review describes and evaluates currently available approaches to quantifying wetland function at landscape scales.
Kimberly Van Meter, Joseph Delesantro, Meena Kumari Kolli, Nandita Basu, Megan Lang, Greg McCarty, Sara Owen   +6 more
wiley   +1 more source

A Machine Learning Model Integrating Remote Sensing, Ground Station, and Geospatial Data to Predict Fine-Resolution Daily Air Temperature for Tuscany, Italy. [PDF]

Remote Sens (Basel)
Limoncella G, Feurer D, Roye D, de Hoogh K, de la Cruz A, Gasparrini A, Schneider R, Pirotti F, Catelan D, Stafoggia M, de'Donato F, Biscardi G, Marzi C, Baccini M, Sera F.   +14 more
europepmc   +1 more source

Differential effects of environmental predictability on ungulate movement behavior in disparate ecosystems

Wildlife Biology, Volume 2026, Issue 1, January 2026.
Increasing ecological perturbations resulting from global change processes are altering the environmental predictability (EP) of critical forage and water resources for wildlife. While research has furthered our understanding of how EP both underlies and directs animal movement, studies have mainly focused on relationships between EP and large‐scale ...
Madeline P. Standen, Mark A. Ditmer, David C. Stoner, Kent R. Hersey, Neil H. Carter   +4 more
wiley   +1 more source

Comparative multi-index analysis of existing drought typology and environmental droughts in a climate-stressed region. [PDF]

Sci Rep
Srivastava A, Pandey A, Maity R.
europepmc   +1 more source

Contrasting elevation‐dependent effect of snow cover on nest‐box use in a cold‐adapted alpine specialist, the white‐winged snowfinch Montifringilla nivalis

Wildlife Biology, Volume 2026, Issue 1, January 2026.
Snow cover plays a critical role for many alpine animals, but our understanding of how snow effects vary with elevation is limited. The white‐winged snowfinch is restricted to high‐elevation habitats, relying on snowfields, edges of melting snow patches, and short‐sward alpine grasslands to collect invertebrates for nestlings.
Mattia Brambilla, Chiara Bettega, Severino Vitulano, Gianpiero Calvi, Francesca Roseo, Paolo Pedrini, Luca Corlatti, Luca Pedrotti, Eliseo Strinella, Maria Mar Delgado, Davide Scridel   +10 more
wiley   +1 more source