Results 181 to 190 of about 17,060 (261)

Evaluation of GSMaP and MSWEP precipitation products for runoff simulation in the Lhasa River Basin. [PDF]

PLoS One
Wu L, Ren Y, Huang P, Yuan S, Zhou C, Gu Z, Guo Y, Zhou L.   +7 more
europepmc   +1 more source

Fundamental Hydraulic Geometry Relations as an Accessible Tool for Identifying Channel Instability Over National Scales

River Research and Applications, EarlyView.
ABSTRACT The geometry of alluvial river channels can give insight into their stability, which can inform predictions of morphological change, flood risk and ecological degradation. Fundamental hydraulic geometry relations can be used to estimate the equilibrium dimensions of stable river channels by evaluating the balance between the erodibility of bed
David Whitfield, Edwin Baynes, Stephen Rice, Richard Jeffries   +3 more
wiley   +1 more source

Influence of Both La Nina and Island Isolation During COVID-19 on the Epidemiology of Infectious Diseases in New Caledonia. [PDF]

Epidemiologia (Basel)
Moury PH, Gourinat AC, Suveges M, Delrieu M, Dupont-Rouzeyrol M, Menkes C, Soler N, Cazorla C, Biron A, Flahault A, Mangeas M, Ray N.   +11 more
europepmc   +1 more source

Seasonal Variation in Carbon Dynamics in the Lower Tocantins River: Influence of Discharge and Environmental Drivers

River Research and Applications, EarlyView.
ABSTRACT Tropical rivers play a key role in regional carbon budgets, yet greenhouse gas (GHG) dynamics in regulated systems remain poorly understood. This study investigates the seasonal variability of carbon dioxide (CO2) and methane (CH4) concentrations, isotopic composition (δ13C), and river‐atmosphere fluxes in the lower Tocantins River, a ...
Maria Gabriella da S. Araújo, Vania Neu, Victor M. Guedes, Marcelo Z. Moreira, Nicholas D. Ward, Alex V. Krusche   +5 more
wiley   +1 more source

Archeological data with AI- and physics-based modeling explain typhoon-induced disasters in inland China around 3000 yr B.P. [PDF]

Sci Adv
Ding K, Li S, Ding A, Lu H, Zhang J, Xi D, Huang X, Lou S, Tang X, Qiu X, He L, Ma Y, Lin H, Zhang S, Zhou D, Zhou X, Tan ZM, Fu C, Ge Q.   +18 more
europepmc   +1 more source

Using Deep Learning AI to Detect Riparian Vegetation Recovery Following a Major Flood in the Brisbane River

River Research and Applications, EarlyView.
ABSTRACT Post‐flood riparian vegetation recovery demands significant attention; however, the complexity of traditional remote sensing methods often hinders environmental managers from implementing rapid vegetation monitoring. This paper developed a model using a Deep Learning Model within ArcGIS to classify and detect recovery of vegetation with high ...
Sydney O'Hare, Jinghan Li, Yongping Wei
wiley   +1 more source

Multi-Scale Fourier Temporal Network for Multi-Source Precipitation Nowcasting. [PDF]

Sensors (Basel)
Huang J, Yang S, Li X, Wu X.
europepmc   +1 more source

Lacking data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: A case study with muskox (Ovibos moschatus)

Remote Sensing in Ecology and Conservation, EarlyView.
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand, Samuel Foucher, Alexandre Delplanque, Joëlle Taillon, Jérôme Théau   +4 more
wiley   +1 more source

Remote sensing-based landslide prediction and risk assessment using a hybrid CNN-LSTM deep learning model. [PDF]

Sci Rep
Teng F, Ekraminia SS, Zarei A, Li Y.
europepmc   +1 more source

Hyperspectral species maps and LiDAR‐based structured population models show future forest fire frequency may compromise forest resilience

Remote Sensing in Ecology and Conservation, EarlyView.
Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean, Tommaso Jucker, Alice Rosen, Sean M. McMahon, Roberto Salguero‐Gómez   +4 more
wiley   +1 more source