Results 221 to 230 of about 23,751,482 (337)

Modelling the behavior of the Jakobshavn glacier since the end of the Little Ice Age

, 2014
Ioana Stefania Muresan, C. Khroulev, Shfaqat Abbas Khan, Kurt H. Kjær, Jason E. Box   +4 more
openalex   +1 more source

CALIBRATION OF A SURFACE MASS BALANCE MATHEMATICAL MODEL OF A MOUNTAIN GLACIER

, 2018
Oleg Rybak, Е. А. Рыбак
openalex   +1 more source

Modeling glacier thickness distribution and bed topography over entire mountain ranges with GlabTop: Application of a fast and robust approach

, 2012
A. Linsbauer, F. Paul, W. Haeberli
semanticscholar   +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

An 85-year record of glacier change and refined projections for Kennicott and Root Glaciers, Alaska. [PDF]

Nat Commun
Wells A, Tober BS, Child SF, Rounce DR, Loso MG, Hults CP, Truffer M, Holt JW, Christoffersen MS.   +8 more
europepmc   +1 more source

GLACIER MASS-BALANCE MODELLING: VALIDATION OF AN ENERGY-BALANCE APPROACH INTEGRATING DEBRIS-LAYERS OVER THE HIMALAYAS

Etienne ARNAUDO, Koyori ISHIKAWA, Orie SASAKI, Shinjiro Kanae   +3 more
openalex   +2 more sources

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

An alpine plant shows no decrease in genetic diversity associated with rapid post-glacial range expansion. [PDF]

Am J Bot
Urquhart-Cronish M, Berg CS, Moxley D, Rahn OJ, Fishman L, Angert AL.   +5 more
europepmc   +1 more source

Forecasting monthly runoff in a glacierized catchment: A comparison of extreme gradient boosting (XGBoost) and deep learning models

Mohammed Majeed Hameed, Adil Masood, Aadil hamid, Ahmed Elbeltagi, Siti Fatin Mohd Razali, Ali Salem   +5 more
openalex   +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