Results 91 to 100 of about 48,205 (257)

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

Spectral characterization of plant diversity in a biodiversity‐enriched oil palm plantation

Remote Sensing in Ecology and Conservation, EarlyView.
How well can airborne imaging spectroscopy detect plant diversity in vertically complex agroforestry systems? We tested this in a biodiversity‐enriched oil palm plantation in Sumatra, Indonesia, using high‐resolution hyperspectral data. We calculated spectral alpha and beta diversity and compared them to field‐based plant diversity.
Vannesa Montoya‐Sánchez, Anna K. Schweiger, Michael Schlund, Gustavo Brant Paterno, Stefan Erasmi, Holger Kreft, Dirk Hölscher, Fabian Brambach, Bambang Irawan, Leti Sundawati, Delphine Clara Zemp   +10 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

A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

Remote Sensing in Ecology and Conservation, EarlyView.
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen, Yuyuan Bao, Ziwei Ying, Mujiao Xie, Ting Li, Jixing Zou, Jun Shi, Xiaoyong Xie   +7 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

Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights

Remote Sensing in Ecology and Conservation, EarlyView.
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan, Cristina Banks‐Leite, Mirko Kovac, Jenna Lawson, Lorenzo Picinali, Sarab S. Sethi   +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

Programmed unmanned aerial vehicles show great potential for monitoring marine megafauna in specific areas of interest

Remote Sensing in Ecology and Conservation, EarlyView.
Targeted conservation measures are contingent on robust knowledge of spatio‐temporal animal distribution in areas of interest. We explore unmanned aerial vehicle (UAV) transect monitoring as a novel method for standardized digital aerial surveys of marine megafauna by investigating the fine‐resolution spatio‐temporal distribution of harbour porpoises ...
Dinah Hartmann, Valdemar Palmqvist, Johanna Stedt   +2 more
wiley   +1 more source