Results 91 to 100 of about 47,757 (245)

Mapping River Bed Topography in Whitewater Rapids Using Bathymetric LiDAR

River Research and Applications, EarlyView.
ABSTRACT Bathymetric LiDAR captures river topography efficiently for clear and shallow water, but for mountain rivers, whitewater rapids still pose challenges. This study proposes a novel method to enable the extraction of bottom returns specifically in turbulent whitewater sections.
Jan Rhomberg‐Kauert, Theresa Himmelsbach, Florian Pöppl, Lucas Dammert, Martin Pfennigbauer, Gottfried Mandlburger   +5 more
wiley   +1 more source

A waypoint-based mission planner for a farmland coverage with an aerial robot - a precision farming tool [PDF]

, 2011
Remote sensing (RS) with aerial robots is becoming more usual in every day time in Precision Agriculture (PA) practices, do to their advantages over conventional methods.
Barrientos Cruz, Antonio, Cerro Giner, Jaime del, Sanz Muñoz, David, Valente, João   +3 more
core   +1 more source

Engineered Gravel Trench Hyporheic Exchange to Create Cold‐Water Thermal Refuges

River Research and Applications, EarlyView.
ABSTRACT Warming rivers are driving a loss or fragmentation of cold‐water habitat and providing the impetus to develop proactive thermal management approaches to maintain suitable habitat in rivers. One innovative approach is through the creation of cold‐water thermal refuges during periods of thermal stress for aquatic species.
Kathryn A. Smith, Edmund A. Halfyard, Christa Kelleher, Barret L. Kurylyk   +3 more
wiley   +1 more source

Integrating terrestrial and canopy laser scanning for comprehensive analysis of large old trees: Implications for single tree and biodiversity research

Remote Sensing in Ecology and Conservation, EarlyView.
Canopy laser scanning (CLS) enhances 3D measurements of large trees by lifting laser scanners into the canopy. Combining CLS with terrestrial laser scanning improves point cloud precision, reduces occlusion and enables detailed assessments of tree architecture and canopy biodiversity, opening new opportunities for forest ecology.
Barbara D'hont, Kim Calders, Alexandre Antonelli, Thomas Berg, Wout Cherlet, Karun Dayal, Olivia Jayne Fitzpatrick, Leonard Hambrecht, Maurice Leponce, Arko Lucieer, Olivier Pascal, Pasi Raumonen, Hans Verbeeck   +12 more
wiley   +1 more source

Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models

Remote Sensing, 2020
Unmanned Aerial Vehicle (UAV) imaging systems have recently gained significant attention from researchers and practitioners as a cost-effective means for agro-environmental applications. In particular, machine learning algorithms have been applied to UAV-
Roghieh Eskandari, Masoud Mahdianpari, Fariba Mohammadimanesh, Bahram Salehi, Brian Brisco, Saeid Homayouni   +5 more
doaj   +1 more source

Evaluating UAV-Based Remote Sensing for Hay Yield Estimation

Sensors
(1) Background: Yield-monitoring systems are widely used in grain crops but are less advanced for hay and forage. Current commercial systems are generally limited to weighing individual bales, limiting the spatial resolution of maps of hay yield. This study evaluated an Uncrewed Aerial Vehicle (UAV)-based imaging system to estimate hay yield.
Kyuho Lee, Kenneth A. Sudduth, Jianfeng Zhou   +2 more
openaire   +3 more sources

Quantifying aboveground herbaceous biomass in grassy ecosystems: a comparison of field and high‐resolution UAV‐LiDAR approaches

Remote Sensing in Ecology and Conservation, EarlyView.
The abundance of herbaceous vegetation in grassy ecosystems—which cover >25% of the world's land surface—is highly variable and impacts key ecological processes including carbon sequestration and support for grazing wildlife and livestock. Here, we present a method for using high‐resolution, UAV‐borne Light Detection and Ranging (LiDAR) to estimate ...
Tyler C. Coverdale, Peter B. Boucher, Jenia Singh, Andrew B. Davies   +3 more
wiley   +1 more source

Assessment of seismic intensity in the Pishan earthquake extreme disaster area based on UAV images

地震科学进展, 2020
On July 3, 2015, An earthquake （MS6.5） occurred near Pishan county （37.6°N, 78.2°E）, Hotan Prefecture Xinjiang Uygur Autonomous Region, China, with a focal depth of 10 km.
Jinxiang Li, Shuo Zhao, Xiangde Chang
doaj   +1 more source

ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that ECOSTRESS lands surface temperature (LST) data are sensitive to forest thinning, regional drought, and their interaction. Consistent with high‐resolution UAV images, ECOSTRESS LST data indicate thinned forest had significantly greater temperature across years.
Temuulen Tsagaan Sankey, Thu Ya Kyaw, Julia Tatum, George W. Koch, Thomas Kolb, Rayni Lewis, Helen M. Poulos, Andrew M. Barton, Blase LaSala, Andrea Thode   +9 more
wiley   +1 more source

DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery

Remote Sensing in Ecology and Conservation, EarlyView.
Using drones with thermal‐RGB sensors and a deep learning model (RetinaNet with ResNet‐50), we surveyed non‐breeding waterfowl across restored wetlands in the Mississippi Alluvial Valley. Our model, DuckNet, achieved high accuracy and offers an open‐source, customizable tool for automated waterfowl detection to support conservation monitoring ...
Zack Loken, Kevin M. Ringelman, Anne Mini, J. Dale James, Mike Mitchell   +4 more
wiley   +1 more source