Results 221 to 230 of about 95,896 (348)

Harnessing Multiscale Topographic Environmental Variables for Regional Coral Species Distribution Models. [PDF]

Ecol Evol
Guillaume AS, Ferrari R, Selmoni O, Mocellin VJL, Denis H, Naugle M, Howells E, Bay LK, Joost S.   +8 more
europepmc   +1 more source

Strategies for Assessing Post‐Wildfire Geomorphic Resilience in Semiarid Rivers

River Research and Applications, EarlyView.
ABSTRACT We review and summarize diverse components of a catchment that can be monitored after wildfire to assess the geomorphic resilience of the river corridor in semiarid regions. We distinguish upland portions of river catchments from river corridors.
Ellen Wohl, Shayla Triantafillou, Alex Thornton‐Dunwoody, Connor Mertz, Katie Larkin, William Keenan, Steven Griffin, Dylan Davis, Lindsey Blehm   +8 more
wiley   +1 more source

UAVs unveil the role of small scale vegetation structure on wader nest survival

Remote Sensing in Ecology and Conservation, EarlyView.
In this study, we combine high‐resolution vegetation structural metrics derived from unmanned aerial vehicle (UAV) imagery with on‐field wader nest survival monitoring. We show that the immediate vegetation height and heterogeneity within a 2‐meter buffer surrounding the clutch of the recorded ground‐nesting wader species positively influenced its ...
Miguel Silva‐Monteiro, Miguel Villoslada, Thaisa Bergamo, Triin Kaasiku, Camilo Carneiro, David Kleijn   +5 more
wiley   +1 more source

Terrestrial and Airborne Laser Scanning Dataset of Trees in the Shivalik Range, India with Field Measurements and Leaf-Wood Classifications. [PDF]

Sci Data
Ali M, Biswas A, Iglseder A, Kumar V, Kumar S, Gupta S, Hollaus M, Pfeifer N, Lohani B.   +8 more
europepmc   +1 more source

Optimising visibility analyses using topographic features on the terrain [PDF]

, 2002
Morley, J, Rana, S
core  

ASSESSING THE REPRESENTATION OF HUMAN-MADE STRUCTURES AND DOMINANT GEOMORPHOLOGICAL FEATURES IN HIGH- AND MEDIUM-RESOLUTION DIGITAL TERRAIN MODELS FOR HYDRO-SEDIMENTOLOGICAL MODELLING IN SMALL MEDITERRANEAN CATCHMENTS

, 2019
Lukas Valentin Graf, Mariano Moreno-de-las-Heras, Aleix Calsamiglia, Ruiz, Mauricio, Julián García‐Comendador, Josep Fortesa, José A. López‐Tarazón, Joan Estrany   +7 more
openalex   +1 more source

Ground‐truthing of satellite imagery to assess seabird colony size: A test using Adélie penguins

Remote Sensing in Ecology and Conservation, EarlyView.
Adélie penguin colony size can be estimated from space using very high‐resolution (VHR; 0.3–0.6 m resolution) satellite imagery due to the contrast between their guano stain and the surrounding terrain. Our study assessed the utility of VHR imagery for making indirect assessments of changes in colony size.
Alexandra J. Strang, Dean P. Anderson, Esme Robinson, Grant Ballard, Annie E. Schmidt, David G. Ainley, Kerry Barton, Fiona Shanhun, Elissa Z. Cameron, Michelle A. LaRue   +9 more
wiley   +1 more source

Novel approaches to evaluate characteristics that affect military load carriage. [PDF]

BMJ Mil Health
Graham RB, Mir-Orefice A, Mavor MP, Bode VG, Doyle TLA, Kelly KR, Silverman AK, Sessoms PH.   +7 more
europepmc   +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

Spatially explicit prediction of Nepal's forest biomass stocks, a data-driven bioregionalisation and machine learning approach. [PDF]

Carbon Balance Manag
Khanal S, Nolan RH, Medlyn BE, Boer MM.
europepmc   +1 more source