Results 51 to 60 of about 1,535 (174)

A primer on forest structure measurement with lidar for ecologists

Ecosphere, Volume 17, Issue 8, August 2026.
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, Kamil Král, Angelica M. Almeyda Zambrano, Eben N. Broadbent, Martin Krůček, Alice Rosen, Sean M. McMahon   +6 more
wiley   +1 more source

A Methodological Framework for Mapping Canopy Cover Using ICESat-2 in the Southern USA

Remote Sensing, 2023
NASA’s Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) provides exceptional opportunities for characterizing the structure of ecosystems through the acquisition of along-track, three-dimensional observations.
Lana L. Narine, Sorin C. Popescu, Lonesome Malambo   +2 more
doaj   +1 more source

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

Water 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, A. S. Aravinthakshan, Sayuj Gupta, Vimal Mishra   +3 more
wiley   +1 more source

Towards global spaceborne lidar biomass: Developing and applying boreal forest biomass models for ICESat-2 laser altimetry data

Science of Remote Sensing
Space-based laser altimetry has revolutionized our capacity to characterize terrestrial ecosystems through the direct observation of vegetation structure and the terrain beneath it.
A. Neuenschwander, L. Duncanson, P. Montesano, D. Minor, E. Guenther, S. Hancock, M.A. Wulder, J.C. White, M. Purslow, N. Thomas, A. Mandel, T. Feng, J. Armston, J.R. Kellner, H.E. Andersen, L. Boschetti, P. Fekety, A. Hudak, J. Pisek, N. Sánchez-López, K. Stereńczak   +20 more
doaj   +1 more source

Calculation of Deflection of Vertical and Gravity Anomalies Over the South China Sea Derived from ICESat-2 Data

Frontiers in Earth Science, 2021
The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) satellite uses a synchronized multi-beam photon-counting method to collect data from three pairs of synchronous ground tracks.
Defu Che, Hang Li, Shengjun Zhang, Baodong Ma   +3 more
doaj   +1 more source

Statistical Model of Subsurface Scattering Bias in ICESat‐2's ATL06 Product

Earth and Space Science, Volume 13, Issue 8, August 2026.
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, Kelly E. Gleason, Jonathan C. Ryan, Markus Allgaier   +3 more
wiley   +1 more source

Evaluating and comparing the performance of ICESat-2 and GEDI data for estimating aboveground biomass in mangroves

International Journal of Digital Earth
The launch of the ICESat-2 and GEDI spaceborne LiDAR missions has provided new opportunities for large-scale estimation of mangrove aboveground biomass density (AGBD); however, their footprint-scale performance remains unclear.
Jianan Yu, Sheng Nie, Wenjie Liu, Zhongyi Sun, Cheng Wang, Xiaohuan Xi, Xiaoxiao Zhu, Mengyang Fang   +7 more
doaj   +1 more source

Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements: Uncertainty Analyses

Frontiers in Remote Sensing, 2022
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, Yongxiang Hu, Xubin Zeng, Snorre A. Stamnes, Thomas A. Neuman, Nathan T. Kurtz, Yuekui Yang, Peng-Wang Zhai, Meng Gao, Meng Gao, Wenbo Sun, Kuanman Xu, Zhaoyan Liu, Ali H. Omar, Rosemary R. Baize, Laura J. Rogers, Brandon O. Mitchell, Knut Stamnes, Yuping Huang, Nan Chen, Carl Weimer, Jennifer Lee, Zachary Fair   +22 more
doaj   +1 more source

Robust Regional Contrast but Penetration‐Sensitive Snow Thickness Over Sea Ice From Multi‐Winter Antarctic CRYO2ICE Observations

Earth and Space Science, Volume 13, Issue 8, August 2026.
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, Alexander D. Fraser, Rachel L. Tilling, Petra Heil, Stuart P. Corney   +4 more
wiley   +1 more source

Quantifying Surface‐Height Change Over a Periglacial Environment With ICESat‐2 Laser Altimetry

Earth and Space Science, 2021
We use Ice, Cloud, and land Elevation Satellite 2 (ICESat‐2) laser altimetry crossovers and repeat tracks collected over the North Slope of Alaska to estimate ground surface‐height change due to the seasonal freezing and thawing of the active layer.
R. J. Michaelides, M. B. Bryant, M. R. Siegfried, A. A. Borsa   +3 more
doaj   +1 more source