Results 151 to 160 of about 6,146 (210)

Remote Sensing Inversion of Full-Profile Topography Data for Coastal Wetlands Using Synergistic Multi-Platform Sensors from Space, Air, and Ground. [PDF]

Sensors (Basel)
Zhang J, Wang J, Dai Y, Miao Y, Li H.
europepmc   +1 more source

Validation of a Particle Image Velocimetry Algorithm Through Comparative Field and Laboratory Analysis

River Research and Applications, EarlyView.
ABSTRACT Flow velocity measurement is fundamental to hydrological and hydraulic studies, providing essential data for streamflow estimation and river dynamics analysis. Traditional in situ methods like propeller gauges and acoustic Doppler current profilers are accurate but intrusive and labour‐intensive, while non‐intrusive image processing methods ...
Ghazaleh Nassaji Matin, Gareth Bradbury, Alan Puttock, Kirsty Frith, Diego Panici   +4 more
wiley   +1 more source

Soil Moisture Inversion in Alfalfa via UAV with Feature Fusion and Ensemble Learning. [PDF]

Plants (Basel)
Chen J, Yin J, Jiang Y, Kang Y, Ma Y, Qi G, Jin C, Xie B, Yu W, Wang Y, Chen J, Zhu J, Li B.   +12 more
europepmc   +1 more source

A Functional Flows Framework for the Terminal Great Salt Lake Basin: Can We Have Our Lake and Drink It Too?

River Research and Applications, EarlyView.
ABSTRACT Terminal basins provide unique aquatic environments that are often highly sensitive to streamflow contributions, making them a focal point for environmental water management. However, the water needs for terminal lake, wetland, and river ecosystems, and how they relate, remain a fundamental knowledge gap that constrains our ability to ...
Belize Lane, Melissa Stamp, Sarah E. Null, Paul Thompson, Jeffrey Ostermiller, Farah Nusrat, Noelle Patterson, Maddie Witte, Bethany Neilson, Michelle Baker   +9 more
wiley   +1 more source

Satellite Remote Sensing of Alpine Vegetation Dynamics: Challenges and Perspectives. [PDF]

Glob Chang Biol
Bayle A.
europepmc   +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

Multi-Source Remote Sensing and Ensemble Learning for Habitat Suitability Mapping of the Common Leopard (<i>Panthera pardus</i>) in Azad Jammu and Kashmir, Pakistan. [PDF]

Sensors (Basel)
Dildar Z, Huang W, Ahmed R, Khalid Z.
europepmc   +1 more source

Evaluating land–sea linkages using land cover change and coral reef monitoring data: A case study from northeastern Puerto Rico

Remote Sensing in Ecology and Conservation, EarlyView.
Land cover change that leads to increased nutrient and sediment runoff is an important driver of change in coral reef ecosystems. In this study, we combined satellite remote sensing and field monitoring to assess concomitant changes in watershed land cover and coral cover in northeastern Puerto Rico in 2000–2015.
Pirta Palola, Sasha Hills, Simon J. Pittman, Edwin A. Hernández‐Delgado, Antoine Collin, Lisa M. Wedding   +5 more
wiley   +1 more source

Short-term coastal forest responses to a hurricane-scale freshwater and saltwater flooding experiment. [PDF]

PLoS One
Myers-Pigg AN, Hopple A, Pennington SC, Regier P, Bond-Lamberty B, DiCianna MJ, Doro KO, McDowell N, McElhinny J, Stearns A, TEMPEST 1.0 Event Consortium, Ward ND, Bailey VL, Megonigal JP.   +13 more
europepmc   +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