Results 191 to 200 of about 183,096 (290)

Accuracy assessment of topography and forest canopy height in complex terrain conditions of Southern China using ICESat-2 and GEDI data. [PDF]

Front Plant Sci
Fu L, Shu Q, Yang Z, Xia C, Zhang X, Zhang Y, Li Z, Li S.   +7 more
europepmc   +1 more source

Evaluating anisotropy‐based Monin–Obukhov similarity theory over canopies and complex terrain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study shows that an anisotropy‐based generalization of Monin–Obukhov surface‐layer scaling (SC23) applies readily across a wide range of atmospheric conditions with variable terrain, canopies, and land‐cover complexity. This work focuses on the scaling of velocity variances for 7 years at the 47 sites in the National Ecological Observation Network
Tyler S. Waterman, Ivana Stiperski, Nathaniel Chaney, Marc Calaf   +3 more
wiley   +1 more source

Publisher Correction: A high-resolution canopy height model of the Earth. [PDF]

Nat Ecol Evol
Lang N, Jetz W, Schindler K, Wegner JD.
europepmc   +1 more source

Impacts of Water Stress on Forest Recovery and Its Interaction with Canopy Height. [PDF]

Int J Environ Res Public Health, 2018
Xu P, Zhou T, Yi C, Luo H, Zhao X, Fang W, Gao S, Liu X.   +7 more
europepmc   +1 more source

Addressing Biases in Ice Jam Observations by Integrating Multi‐Source Data in a Forested Fluvial Landscape, Southern Quebec

River Research and Applications, EarlyView.
ABSTRACT Exhaustive long‐term and large‐scale ice jam records are scarce in most cold river environments. Many discrete events occur in small, sparsely populated river systems and are poorly represented in open‐source databases. These observation biases are transferred to predictive models of ice jams and the collective understanding of their formation
Lisane Arsenault‐Boucher, Étienne Boucher, Rachid Lhissou, Karem Chokmani, Christophe Kinnard   +4 more
wiley   +1 more source

Meander‐Bend Erosion Dynamics Along a Gravel‐Bed River: Insights From Short‐Term UAV Monitoring

River Research and Applications, EarlyView.
ABSTRACT Riverbank erosion is a natural process in meandering rivers that contributes to sediment supply and geomorphic diversity, yet it can threaten infrastructure and human activities within the floodplain. Recently, many studies have used high‐resolution remote sensing technologies to measure bank erosion, but they often focus on technical aspects ...
Katarina Pavlek, Mateo Gašparović, Tomáš Galia   +2 more
wiley   +1 more source

Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR. [PDF]

Sensors (Basel), 2017
Brede B, Lau A, Bartholomeus HM, Kooistra L.   +3 more
europepmc   +1 more source

Population Dynamics of Northern Pearl Dace Margariscus nachtriebi in Anthropogenically Altered Headwater Streams of the Nebraska Sandhills Ecoregion

River Research and Applications, EarlyView.
ABSTRACT Empirical evidence of population demographic responses to environmental perturbations is a major knowledge gap for aquatic vertebrate populations. Extensive habitat alteration including channelization of headwater streams influences the habitat template on which small‐bodied fish are dependent to carry out distinct life stages and maintain or ...
Joseph Spooner, Jonathan Spurgeon
wiley   +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, EarlyView.
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

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source