Results 61 to 70 of about 1,430 (204)

Within‐tree spatial heterogeneity of sap flow velocities and wood properties and its effect on the uncertainty of tree level sap flux estimates

PLANTS, PEOPLE, PLANET, EarlyView.
As forests are important for biodiversity and recreation and provide vital resources globally, it is essential that their health can be accurately monitored, for example, by using sap flow probes to measure tree water uptake. We investigated whether sap flow measurements might differ at various locations within the same tree due to variation in wood ...
Stefan Seeger, Markus Weiler, Martin Maier   +2 more
wiley   +1 more source

From Flybys to Sample Return: A Review of Space Probes and Robotic Sampling Technologies for Small Bodies

Journal of Field Robotics, EarlyView.
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang, Hao Zhou, Dalin Zhou, Zhaojie Ju   +3 more
wiley   +1 more source

Hexapod Locomotion Across Structured and Unstructured Terrains: A Data‐Driven Review of Modeling, Control, and Validation

Journal of Field Robotics, EarlyView.
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley   +1 more source

Impact of the Addition of a Shading Algorithm in a Physically Based Conceptual River Hydrological–Temperature Model

River Research and Applications, EarlyView.
ABSTRACT Anthropogenic impacts on the thermal regime of rivers include climate change and deforestation. For the latter, developing modelling tools that can account for the impact of varying vegetation cover on river temperatures is essential. This study describes a new addition to the CEQUEAU hydrological and water temperature model: a shading ...
Zouhir Dichane, Habiba Ferchihi, Cyrille Gatien Kafack Zamo, Jesús Roberto Araujo Sánchez, André St‐Hilaire   +4 more
wiley   +1 more source

Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers

Remote Sensing in Ecology and Conservation, EarlyView.
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni, Giovanna Jona Lasinio, Daniele Poggio, Gianluca Mastrantonio, Alessio Pollice, Arnold Rakaj, Midhun Mohan, Stefano Moro, Edoardo Casoli, Daniele Ventura   +9 more
wiley   +1 more source

Hyperspectral species maps and LiDAR‐based structured population models show future forest fire frequency may compromise forest resilience

Remote Sensing in Ecology and Conservation, EarlyView.
Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean, Tommaso Jucker, Alice Rosen, Sean M. McMahon, Roberto Salguero‐Gómez   +4 more
wiley   +1 more source

Big Bird: A global dataset of birds in drone imagery annotated to species level

Remote Sensing in Ecology and Conservation, EarlyView.
Drones are a valuable tool for surveying birds, but manually detecting and identifying birds in drone images is costly. We assembled a diverse dataset of 23 865 images of birds captured with 21 different drones across 11 countries. We labelled 4824 of these images, detailing the location, species, posture category, age category, and sex of 49 990 birds
Joshua P. Wilson, Tatsuya Amano, Thomas Bregnballe, Alejandro Corregidor‐Castro, Roxane Francis, Diego Gallego‐García, Jarrod C. Hodgson, Landon R. Jones, César R. Luque‐Fernández, Dominik Marchowski, John McEvoy, Ann E. McKellar, W. Chris Oosthuizen, Christian Pfeifer, Martin Renner, José Hernán Sarasola, Mateo Sokač, Roberto Valle, Adam Zbyryt, Richard A. Fuller   +19 more
wiley   +1 more source

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

Remote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song, Yuan Jia, Lin Zhang, Dongxiu Wu   +3 more
wiley   +1 more source

Efficient and Accurate Spatio‐Temporal Population Monitoring of Mobile Animals Using Drones and Computer Vision

Remote Sensing in Ecology and Conservation, EarlyView.
Drones and computer vision offer an efficient way to estimate animal populations over localized areas, but surveys often require stitching many overlapping images together. If animals move during the survey, traditional orthomosaic‐based counting methods become unreliable, with some animals appearing in multiple locations while others appear not at all,
Benjamin Koger, Albert B. Kao, Curry J. Cunningham, Thomas P. Quinn, Caroline Kittle, Andrew M. Berdahl   +5 more
wiley   +1 more source

A Label‐Free Ultraviolet Photoacoustic Microscopy Enables Nuclear Imaging and Toxicity Assessment in an Intact Brain Organoid

Small, EarlyView.
Ultraviolet photoacoustic microscopy enables label‐free visualization of nuclear morphology in intact human brain organoids. By exploiting endogenous nucleic acid absorption at 266 nm, this approach resolves individual nuclei without staining or sectioning.
Hyunjun Kye, Won Jong Yu, Lihong V. Wang, Jeesu Kim, Jong‐Chan Park, Byullee Park   +5 more
wiley   +1 more source