Results 131 to 140 of about 13,122 (214)

A multi-source remote sensing dataset for large-scale forest monitoring. [PDF]

open access: yesData Brief
D'Amico G   +12 more
europepmc   +1 more source

Singapore Water Budget: The Past, the Present, and the Future

open access: yesWater Resources Research, Volume 62, Issue 8, August 2026.
Abstract Urbanization and climate change profoundly impact hydrological processes and the associated water budget, challenging sustainable water management. In this study, we use a distributed mechanistic ecohydrological model adapted for urban environments to quantify changes in the hydrological budget components in response to urbanization, as well ...
Y. Lin Xu   +8 more
wiley   +1 more source

Transforming global water cycle observations via synergistic AI and remote sensing. [PDF]

open access: yesSci Adv
Yao Z   +10 more
europepmc   +1 more source

One to Three‐Day Lead Streamflow Forecast Using Multi‐Head Attention With Long Short‐Term Memory in Reservoir Regulated Catchment

open access: yesWater Resources Research, Volume 62, Issue 8, August 2026.
Abstract Accurate, timely, and actionable flood forecasting has potential for reducing flood risk but remains challenging due to uncertainties in meteorological forecasts, poor hydrological observations, and increasing forecast errors with lead time. While Long Short‐Term Memory (LSTM) models have surpassed conventional hydrological forecasting models,
Hiren Solanki   +3 more
wiley   +1 more source

Surface Mineralogy and Hydrological Controls on “Hotspots” of Dust Emission at Etosha Pan, Namibia

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Ephemeral lake beds are globally significant sources of atmospheric mineral dust aerosols, yet emissions from these landforms exhibit considerable spatial and temporal variability. The complex interactions between climatic drivers and surface properties that govern dust emissions remain poorly understood, contributing to uncertainties in model
N. S. Wallum   +7 more
wiley   +1 more source

Thermal signature of Sargassum aggregations from Landsat 9 observations

open access: yesHarmful Algae
Amaia Fontan   +3 more
openaire   +1 more source

Estimating Baseline Flow Resistance Parameters for Remote Sensing River Discharge (RSQ) From River Morphology Characteristics

open access: yesJAWRA Journal of the American Water Resources Association, Volume 62, Issue 4, August 2026.
ABSTRACT This study demonstrates that flow resistance in rivers, quantified via calibration of a modified Manning's equation, can inform its estimation from channel hydrometric information available from regional or global datasets for a limited set (N = 14) of rigorously calibrated river reaches in Alaska and with less certainty in a large set (N ...
David M. Bjerklie   +6 more
wiley   +1 more source

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