Results 181 to 190 of about 12,883 (257)

Snow avalanche susceptibility, hazard, and exposure assessment in the Western Himalaya using machine learning and numerical modelling. [PDF]

Sci Rep
Abhinav A, Sattar A.
europepmc   +1 more source

Using Fine Sediment Monitoring to Quantify Sand Loading Over Time

River Research and Applications, EarlyView.
ABSTRACT Riverine sand loading can lead to geomorphic change, impacting river processes like lateral migration and vertical aggradation or degradation. Yet many sediment monitoring programs track only fine sediment measurable as total suspended solids (TSS). Here, we assess the ability for TSS data to be used to determine sand loading.
Andrew P. Kasun, Karen B. Gran
wiley   +1 more source

Svalbard's 2024 record summer: An early view of Arctic glacier meltdown? [PDF]

Proc Natl Acad Sci U S A
Schuler TV, Benestad RE, Isaksen K, Kierulf HP, Kohler J, Moholdt G, Schmidt LS.   +6 more
europepmc   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source

Assessing glacier changes and hydrological impacts in the upper Indus Basin under CMIP6 climate scenarios. [PDF]

iScience
Abdullah T, Bashir J, Romshoo SA.
europepmc   +1 more source

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity, Connor C.G. Bamford, Nathan Fenney, Andrew Fleming, Jaume Forcada, Michael S. Tift, Luis A. Hückstädt, Daniel P. Costa, Peter T. Fretwell   +8 more
wiley   +1 more source

Radioactivity and geochemical characteristics of cryoconite on the Tien Shan glacier. [PDF]

Sci Rep
Miroshnikov A, Serikov A, Kokarev A, Severinenko M, Lennik S, Kharkin P, Akhmetzhanova D, Krasnopyorova M, Milts O, Makarova V, Morenko V, Fedulov V, Kapitsa V, Kasatkin N, Asadulin E, Nadyarnykh G, Sakhiev S.   +16 more
europepmc   +1 more source

Historical remote sensing highlights long‐term persistence of Emperor Penguin (Aptenodytes forsteri) colonies

Remote Sensing in Ecology and Conservation, EarlyView.
Remote sensing can reveal population dynamics of Antarctic penguin colonies. In this study, we analyze emperor penguin (Aptenodytes forsteri) guano stains in remote sensing imagery and discover colony presence predating known records for 18 colonies across Antarctica.
Martynas Bielinis, Michelle LaRue, Benjamin M. Kraemer, Catalina Munteanu   +3 more
wiley   +1 more source

Irreversible glacier change and trough water for centuries after overshooting 1.5 °C. [PDF]

Nat Clim Chang
Schuster L, Maussion F, Rounce DR, Ultee L, Schmitt P, Lacroix F, Frölicher TL, Schleussner CF.   +7 more
europepmc   +1 more source