Results 51 to 60 of about 17,653,907 (159)

Monitoring Coastal Waves with ICESat-2

, 2023
The coastal zone faces an ever-growing risk associated with climate-driven change, including sea level rise and increased frequency of extreme natural hazards.
Lori A. Magruder, Matthew Holwill, James T. Dietrich   +2 more
core   +1 more source

A noise removal algorithm based on adaptive elevation difference thresholding for ICESat-2 photon-counting data

International Journal of Applied Earth Observations and Geoinformation, 2023
Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) has shown great potential for near-shore bathymetry. Unavoidably, the photon data acquired has a lot of noise.
Bikang Wang, Yi Ma, Jingyu Zhang, Huanwei Zhang, Haitian Zhu, Zihao Leng, Xuechun Zhang, Aijun Cui   +7 more
doaj   +1 more source

Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions

Ecography, Volume 2026, Issue 6, June 2026.
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile, Maximilian Pichler, Francesco Valerio, Lorenzo Balducci, Francesco Chianucci, Sérgio Godinho, Francesco Rota, Frédéric Archaux, Christophe Bouget, Gediminas Brazaitis, Thomas Campagnaro, Ettore D'Andrea, Luc De Keersmaeker, Wouter Dekoninck, Pallieter De Smedt, Zoltán Elek, Itziar García‐ Mijangos, Frédéric Gosselin, Marion Gosselin, Andrin Gross, Elena Haeler, Sebastian Kepfer‐ Rojas, Nathalie Korboulewsky, Daniel Kozák, Thibault Lachat, Carlos Miguel Landivar Albis, Anja Leyman, Xiang Liu, Anders Mårell, Radim Matula, Martin Mikoláš, Péter Ódor, Yoan Paillet, Kastytis Šimkevičius, Tommaso Sitzia, Silvia Stofer, Nicolas Strebel, Miroslav Svoboda, Flóra Tinya, Mariana Ujházyová, Kris Vandekerkhove, Kris Verheyen, Michael Wohlwend, Fotios Xystrakis, Sabina Burrascano   +44 more
wiley   +1 more source

Increased Ice Thinning over Svalbard measured by ICESat/ICESat-2 Laser Altimetry

, 2021
We used spaceborne laser altimetry data from the ICESat and ICESat-2 missions to obtain ice elevation and mass change rates between 2003-2008 and 2019 over Svalbard. Elevation changes are derived at orbit crossover locations throughout the study area for
Matthias H. Braun, Sochor, Lukas, Seehaus, Thorsten, Braun, Matthias Holger, Thorsten Seehaus, Lukas Sochor, Braun, Matthias H.   +6 more
core   +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

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, Volume 12, Issue 3, Page 323-348, June 2026.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source

The Decline of a Caldera‐Filling Glacier at Volcán Sollipulli, Chile

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 6, June 2026.
Abstract Southern Andean glaciers have undergone fast retreat in recent decades. This results in reduced freshwater storage, contribution to sea‐level rise, and locally to the formation of glacial lakes, that may pose the risk of glacial lake outburst floods (GLOFs).
J. E. Arndt, M. Somos, S. Navas, D. Farías‐Barahona, A. Rivera, H. Xie, A. Fernández   +6 more
wiley   +1 more source

Performance of ICESat‐2 Precision Pointing Determination

Earth and Space Science, 2021
Global elevations are critical to understanding the Earth's dynamic processes and changing climate. These measurements are best acquired from a space‐based vantage point and are most accurate using laser altimetry technology.
Sungkoo Bae, Benjamin Helgeson, Michael James, Lori Magruder, Jonathan Sipps, Scott Luthcke, Taylor Thomas   +6 more
doaj   +1 more source

Interannual Variations of Precipitation Events at Dome Fuji Station, Antarctica

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 10, 28 May 2026.
Abstract Precipitation is key to the water budget of inland Antarctica, with extreme precipitation events strongly influencing snowfall and surface climatology. To investigate the contribution and trends of such events at Dome Fuji station (DF) in inland Antarctica, this study analyzed precipitation variability using the ERA5 product validated against ...
Kyohei Yamada, Jun Inoue, Naohiko Hirasawa, Kazutoshi Sato   +3 more
wiley   +1 more source

Measure Less, Map More: Using Machine Learning, Physiography, and Prior Depth Maps to Extrapolate In‐Swath Snow Depth Measurements Across Mountain Basins

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Basin‐wide snow depth (SD) maps can support operational water supply assessments, but their availability is limited by measurement costs (airborne) or sampling constraints (satellite and drone). We present Swath‐random forest (RF), a methodology that trains random forests on SD measured within a narrow swath (<10% of a basin) to extrapolate ...
Eric E. Small, Mark S. Raleigh, Jordan N. Herbert   +2 more
wiley   +1 more source