Results 81 to 90 of about 9,618 (272)

Detecting and attributing climate change effects on vegetation: Australia as a test case

PLANTS, PEOPLE, PLANET, EarlyView.
Climate change is contributing to vegetation changes that threaten life support systems. Yet, inherent climatic variability and past and present human actions—such as clearing, burning and grazing regimes—also alter vegetation and complicate understanding of vegetation change. Australian ecosystems exemplify such complexity.
Laura J. Williams, Rachael V. Gallagher, Sami W. Rifai, Matthew A. Adeleye, Patrick J. Baker, David M. J. S. Bowman, Jake Eckersley, Jacqueline R. England, Michael‐Shawn Fletcher, Pauline F. Grierson, Assaf Inbar, Jürgen Knauer, Clare M. Stephens, Raphaël Trouvé, Belinda E. Medlyn   +14 more
wiley   +1 more source

Editorial for “Remote Sensing from Unmanned Aerial Vehicles”

Remote Sensing, 2018
The recent proliferation of unmanned aerial vehicle (UAV) platforms has greatly increased our ability to remotely sense the Earth’s surface from the air at particularly low altitudes. [...]
William J. Emery, John Schmalzel
doaj   +1 more source

Short‐term responses in weed spatial patterns during early adoption of conservation agriculture practices

Pest Management Science, EarlyView.
Weed spatial patterns and temporal stability were shaped by species life forms and the cropping systems implemented in the plots. Weed aggregation was more pronounced in conservation agriculture and among perennials. Patch stability was primarily governed by species life form and was stronger among perennials. Abstract BACKGROUND The aggregated spatial
Gal Rozenberg, Yohay Carmel, Gil Eshel, Lior Blank   +3 more
wiley   +1 more source

Detailed Variations in Urban Surface Temperatures Exploration Based on Unmanned Aerial Vehicle Thermography [PDF]

, 2019
Li Feng, Huihui Tian, Zhi Qiao, Menmen Zhao, Yanxia Liu   +4 more
openalex   +1 more source

Evaluation of Coffee Plants Transplanted to an Area with Surface and Deep Liming Based on Multispectral Indices Acquired Using Unmanned Aerial Vehicles [PDF]

, 2023
Rafael Alexandre Pena Barata, Gabriel Araújo e Silva Ferraz, Nicole Lopes Bento, Daniel Veiga Soares, Lucas Santos Santana, Diego Bedin Marin, Drucylla Guerra Mattos, Felipe Schwerz, Giuseppe Rossi, Leonardo Conti, Gianluca Bambi   +10 more
openalex   +1 more source

Pesticide exposure of operators during mixing and loading a drone: towards a stratified exposure assessment

Pest Management Science, EarlyView.
Operators are exposed to concentrated formulation during mixing of pesticide into the nurse tank and to an in‐use dilution during loading the drone; stratification of exposure for mixing and loading would inform the exposure assessment approach by applying the appropriate dermal absorption considerations.
Edgars Felkers, Christian J Kuster, Georg Hamacher, Thomas Anft, Maxie Kohler   +4 more
wiley   +1 more source

Local and Global Motion Planning for Unmanned Surface Vehicle

MATEC Web of Conferences, 2016
The paper shows approach of unmanned surface vehicle motion planning in an environment with obstacles. The structure of the control system hardware, software architecture, based on client-server model with the loose coupling in ROS software environment ...
Fedorenko Roman, Gurenko Boris
doaj   +1 more source

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, EarlyView.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source

From “Mirror Flower, Water Moon” to Multi‐Task Visual Prospective Representation Learning for Unmanned Aerial Vehicles Indoor Mapless Navigation

Journal of Field Robotics, EarlyView.
ABSTRACT Vision‐based deep learning models have been widely adopted in autonomous agents, such as unmanned aerial vehicles (UAVs), particularly in reactive control policies that serve as a key component of navigation systems. These policies enable agents to respond instantaneously to dynamic environments without relying on pre‐existing maps.
Yingxiu Chang, Yongqiang Cheng, John Murray, Muhammad Khalid, Umar Manzoor   +4 more
wiley   +1 more source

Global Path Planning of Unmanned Surface Vehicle Based on Improved A-Star Algorithm. [PDF]

Sensors (Basel), 2023
Zhang H, Tao Y, Zhu W.
europepmc   +1 more source