Results 41 to 50 of about 1,224 (173)

Using Airborne Laser Scanning and Sentinel‐2 to Understand Subcanopy Light Regimes and Understory Diversity of Vascular Plants in Temperate Mountain Forests

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that not just Airborne Laser Scanning, but also Sentinel‐2 can effectively estimate absolute canopy cover and canopy cover heterogeneity ‐ structural metrics that determine the subcanopy light regime, found to be linked to the vascular plant species richness in the understory of temperate mountain forests.
Felix Wieland‐Glasmann, Cornelius Senf, Kristin H. Braziunas, Rupert Seidl, Peter Annighöfer   +4 more
wiley   +1 more source

Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013
The 2012 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC) of the IEEE Geoscience and Remote Sensing Society (GRSS) aimed at investigating the potential use of very high spatial resolution (VHR) multi-modal/multi-temporal image ...
Christian Berger, Michael Voltersen, Robert Eckardt, Jonas Eberle, Thomas Heyer, Nesrin Salepci, Soren Hese, Christiane Schmullius, Junyi Tao, Stefan Auer, Richard Bamler, Ken Ewald, Michael Gartley, John Jacobson, Alan Buswell, Qian Du, Fabio Pacifici   +16 more
doaj   +1 more source

Optical properties of Central Asian aerosol relevant for spaceborne lidar applications and aerosol typing at 355 and 532 nm [PDF]

Atmospheric Chemistry and Physics, 2020
For the first time, a dense data set of particle extinction-to-backscatter ratios (lidar ratios), linear depolarization ratios, and backscatter- and extinction-related Ångström exponents for a Central Asian site are presented.
J. Hofer, A. Ansmann, D. Althausen, R. Engelmann, H. Baars, K. W. Fomba, U. Wandinger, S. F. Abdullaev, A. N. Makhmudov   +8 more
doaj   +1 more source

Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR

Wildlife Biology, EarlyView.
Identifying the spatial and temporal scale at which animals select resources is critical for predicting how populations respond to changes in the environment. The spatial distribution of fine‐scale resources (e.g. patches of dense vegetation) are often linked with critical life‐history requirements such as denning and feeding sites.
Alexej P. K. Sirén, Franklin Sullivan, Rachel Cliché, Jeremy Goetz, Leighlan S. Prout, Jillian Kilborn, Katelyn Courtot, Michael Palace   +7 more
wiley   +1 more source

Modelling the Four‐Dimensional Power Line Sag Dynamics by Point Signature in Time‐Series Synthetic‐Aperture Radar Images

High Voltage, EarlyView.
ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma, Tao Li, Mahdi Motagh, Yan Liu, Yangmao Wen   +4 more
wiley   +1 more source

The underappreciated roles of fog and dew on vegetation and biocrusts

New Phytologist, Volume 251, Issue 1, Page 46-63, July 2026.
Summary Fog and dew represent minor components of ecosystem water budgets in most ecosystems. However, fog and dew can play an essential role in ecosystem dynamics and are particularly important for water‐limited systems. In addition to serving as direct water inputs, fog and dew can influence microclimate and water redistribution, thereby promoting ...
Lixin Wang, Yue Li, Mengyun Sun, Na Qiao
wiley   +1 more source

A Novel Ice Cloud Optical Property Model for Passive and Active Remote Sensing Applications

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
Abstract A new broad‐spectrum ice cloud optical property model, namely the Passive‐Active Remote Sensing Consistent (PARSC) model, is developed to achieve consistency between passive and active sensor‐based ocean‐occurring ice cloud property retrievals.
J. Coy, P. Yang, K. Meyer, J. Riedi, X. Liu   +4 more
wiley   +1 more source

Cook's distance-guided neural network interpolation: enhancing spaceborne LiDAR data for forest canopy height mapping

International Journal of Digital Earth
Forest canopy height (FCH) is crucial for evaluating forest structure, carbon storage, biomass, and ecosystem dynamics, which can be derived by spaceborne LiDAR systems like Ice, Cloud and land Elevation Satellite-2 (ICESat-2) and Global Ecosystem ...
Zhenqi Yang, Cheng Wang, Hongtao Wang, Xiangda Lei, Rongxi Wang, Baokun Feng, Qifeng Meng   +6 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

Ocean subsurface studies with the CALIPSO spaceborne lidar [PDF]

Journal of Geophysical Research: Oceans, 2014
AbstractThe primary objective of the Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission is to study the climate impact of clouds and aerosols in the atmosphere. However, recent studies have demonstrated that CALIPSO also collects information about the ocean subsurface.
Xiaomei Lu, Yongxiang Hu, Charles Trepte, Shan Zeng, James H. Churnside   +4 more
openaire   +1 more source