Results 161 to 170 of about 70,330 (312)

River‐Scale Evaluation of a Floating LED Light Array for Behavioral Guidance of American Eel

River Research and Applications, EarlyView.
ABSTRACT Exploiting the sensory physiology of migratory fishes to guide them away from hazards like hydroelectric turbines is of interest to regulatory agencies and hydropower operators to achieve conservation and management goals. Here we describe a river‐scale experiment where out‐migrating adult American eel (Anguilla rostrata) were tracked ...
Chris K. Elvidge, M. E. Cole MacLeod, Daniel Hatin, Alexandre Guindon, René Dion, Scott Schlueter, Justin Ecret, Jana R. Lantry, Thomas C. Pratt, David Stanley, Jake K. L. La Rose, Paul T. Jacobson, Douglas Bradley, Steven J. Cooke   +13 more
wiley   +1 more source

COVID-19 contact tracking based on person reidentification and geospatial data. [PDF]

J King Saud Univ Comput Inf Sci, 2023
Zhang B, Lei H, Cai Y, Zhong Z, Jiao Z.
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

A new geospatial data model to facilitate geographic data mining and knowledge discovery

, 2008
The explosive growth in both the volume and density of geospatial data, which has resulted in the difficulty of geospatial data mining and knowledge discovery, emphasizes the need for advancing the query, analysis and computation capacity of geospatial ...
Bao, Xi1, Tao1, Wang, Chen, An-Ming1, Wei-Sheng1   +6 more
core  

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

Geographic collections development policies and GIS services: a research in US academic libraries’ websites [PDF]

, 2011
Management and analysis of geospatial data evolved into a rapid developmental field nowadays. Scientific researches debate that 80% of economic and political decisions internationally, include indirect or direct geographic information while this is also ...
Sarantos Kapidakis, Vardakosta, Ifigenia, Kapidakis, Sarantos, Vardakosta, Ifigeneia, Ifigenia Vardakosta   +4 more
core  

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

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

Geospatial data in pediatric asthma in the United States: a scoping review protocol. [PDF]

JBI Evid Synth, 2022
Cushing AM, Khan MA, Kysh L, Brakefield WS, Ammar N, Liberman DB, Wilson J, Shaban-Nejad A, Espinoza J.   +8 more
europepmc   +1 more source

Soil erosion responses to climate change in a tropical monsoon‐dominated river basin ‐ A geospatial perspective

River, EarlyView.
Climate change is projected to intensify soil erosion in the Chalakkudy River Basin, with bare lands and steep uplands emerging as the most vulnerable hotspots under high‐emission scenarios. Forested areas showed greater resistance to soil erosion, highlighting the importance of targeted soil conservation for sustainable watershed management in ...
Sisira Uppengal, Anu David Raj, Balakrishnan Padmavathi, P. O. Nameer, Jayapal Gopalan Nair   +4 more
wiley   +1 more source