Results 41 to 50 of about 1,335 (132)
A primer on forest structure measurement with lidar for ecologists
Abstract Light detection and ranging (lidar) technology has fundamentally advanced the way we measure forest structure, facilitating new insights into ecological processes. Lidar for forest ecology applications is deployed on multiple types of platforms that operate from the ground, air, or space, and each has associated strengths and limitations ...
K. C. Cushman +6 more
wiley +1 more source
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
Statistical Model of Subsurface Scattering Bias in ICESat‐2's ATL06 Product
Abstract ICESat‐2 uses visible laser pulses and photon‐counting detectors to range the Earth's surface, providing precision altimetry for measuring ice sheet elevation change. However, since water ice is transparent to visible light, the photon returns recorded by ICESat‐2's ATLAS instrument may originate from subsurface scattering inside the snow or ...
Thilini Bamunu Arachchige +3 more
wiley +1 more source
Potentialities and Limits of ICESAT-2 Observation for Atmospheric Aerosol Investigation
ICESat-2(Ice, Cloud, and land Elevation Satellite-2), slated for launch in 2017, will continue the important observations of ice-sheet elevation change, sea-ice freeboard, and vegetation canopy height begun by ICESat in 2003.
Mona L., Amodeo A., D’Amico G.
doaj +1 more source
Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements: Uncertainty Analyses
The application of diffusion theory and Monte Carlo lidar radiative transfer simulations presented in Part I of this series of study suggests that snow depth can be derived from the first-, second- and third-order moments of the lidar backscattering ...
Xiaomei Lu +22 more
doaj +1 more source
Abstract Snow on Antarctic sea ice modulates albedo, thermodynamic growth, and snow–ice formation, yet remains a leading uncertainty in altimetry‐derived sea‐ice thickness. Here we use the post‐2022 CRYO2ICE configuration to derive along‐track winter snow thickness from ICESat‐2 laser and CryoSat‐2 Ku‐band radar freeboards over the Weddell and Ross ...
Xinlong Liu +4 more
wiley +1 more source
Since the 2018 launch of NASA's ICESat‐2 satellite, numerous studies have documented the bathymetric measurement capabilities of the space‐based laser altimeter.
Forrest Corcoran +3 more
doaj +1 more source
Abstract Snow on sea ice modulates the Earth's radiation budget and sea ice mass balance, yet satellite retrievals of Arctic snow depth remain subject to substantial algorithmic uncertainty. We develop a multi‐model machine learning (ML) framework for retrieving spring snow depth over Arctic sea ice from Advanced Microwave Scanning Radiometer 2 (AMSR2).
Yi Zhou +6 more
wiley +1 more source
Abstract Accurate hydrological prediction in alpine regions remains challenging due to complex cryospheric processes and limited observational records. Traditional hydrological models are often subject to structural uncertainty, whereas purely data‐driven deep learning (DL) models may lack physical interpretability under non‐stationary climate ...
Jun Mei +7 more
wiley +1 more source
Abstract Isolating glacial isostatic adjustment (GIA) signals from Global Navigation Satellite System (GNSS) observations of vertical land motion (VLM) in Greenland requires removal of elastic solid Earth response to contemporary ice mass change. This elastic correction depends on ice‐surface elevation changes derived from satellite altimetry and firn ...
Holly Kyeore Han +6 more
wiley +1 more source

