Results 101 to 110 of about 3,000 (242)

Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
Recent advances in affordable, user‐friendly devices offer new opportunities to overcome cost constraints of underwater passive acoustic monitoring (PAM) and expand acoustic data collection. In this study, we deployed low‐cost acoustic recorders and underwater cameras across a range of platforms in the Western Mediterranean, including fishing gear ...
Greta Jankauskaite, François Poisson, Irati Abascal, Javier Menéndez‐Blázquez, Clara Cánovas Pérez, Sofia Conti, Ricardo Sagarminaga, Juan Antonio Raga, David March   +8 more
wiley   +1 more source

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

Remote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné, Víctor Sazatornil, Lluís Brotons, Felipe Lumbreras Ruiz, Robert Benavente, Maguiña Ramilo‐Henry, Cristina Ramos, Santiago Palazón, Daniel Ponsa   +8 more
wiley   +1 more source

Economic well-being assessment: a review of traditional and remote sensing approaches

International Journal of Digital Earth
This paper reviews the evolution of economic well-being assessment, examining traditional methods based on surveys and statistics alongside the emergent field of satellite remote sensing.
Longfei Wang, Tengfei Long, Wei Jiang, Elhadi Adam, Chunhui Wen, Weili Jiao, Guojin He   +6 more
doaj   +1 more source

Fusion or Confusion? Assessing the Impact of Visible‐Thermal Image Fusion for Automated Wildlife Detection

Remote Sensing in Ecology and Conservation, EarlyView.
This study evaluates the performances of synchronous aerial visible (VIS) and thermal infrared (TIR) imagery for detecting great blue heron (Ardea herodias) nests and individuals using a YOLO11n model. VIS and TIR images were automatically aligned using deep learning, and both early and late fusion approaches were tested.
Camille Dionne‐Pierre, Samuel Foucher, Jérôme Théau, Jérôme Lemaître, Patrick Charbonneau, Maxime Brousseau, Mathieu Varin   +6 more
wiley   +1 more source

An Optimization Framework for Waste Treatment Center Site Selection Considering Nighttime Light Remote Sensing Data and Waste Production Fluctuations

Applied Sciences
As urbanization accelerates, the management of urban solid waste poses increasingly intricate challenges. Traditional urban metrics, such as GDP and per capita consumption rates, have become inadequate for accurately reflecting the realities of waste ...
Junbao Xia, Yanping Liu, Haozhong Yang, Guodong Zhu   +3 more
doaj   +1 more source

Reliability of Manual Counting for Thermal Census of Bats Within Human‐Made Structures

Remote Sensing in Ecology and Conservation, EarlyView.
Bats have a critical role in ecosystems worldwide, but monitoring their populations remains challenging, particularly in complex roosts within human‐made structures. We examined the reliability of manual bat counts from thermal infrared video, a method widely used to estimate populations and evaluate computer vision censusing approaches.
Sarah K. Lagattuta, Janna M. E. Freeman, Nicole R. Gardner, Christine K. Johnson   +3 more
wiley   +1 more source

Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Forest fires are one of the most common natural disasters and public crisis events, presenting a serious threat to the ecosystem and human security.
Yuehan Yu, Lili Liu, Zhijian Chang, Yuanqing Li, Kaifang Shi   +4 more
doaj   +1 more source

Remote Sensing‐Based Identification of Habitat Loss for Herbivorous Waterbirds Driven by Wetland Inundation Alterations

Remote Sensing in Ecology and Conservation, EarlyView.
We present a deep learning framework integrating remote sensing and SHAP interpretation to map 22‐year habitat dynamics of herbivorous waterbirds in Dongting Lake. Results show nearly 50% habitat loss, driven primarily by hydrological recession timing rather than static inundation extent.
Dongshuo Lu, Haobo Zhang, Peng Zhang, Xiaoning Liu, Liwei Chang, Lei Cheng, Jianbo Chang   +6 more
wiley   +1 more source

Prohibited Plants: Converging Sustainability Transitions and Local Development in ‘Left‐Behind Places’

Sustainable Development, EarlyView.
ABSTRACT This paper examines the relationship between sustainability transitions and local development through the case of Colombia's medicinal cannabis industry. It highlights how neglecting place‐specific needs and development expectations can hinder equitable transitions and reinforce existing socio‐economic disparities.
Diana Morales, Mónica Ramos‐Mejía
wiley   +1 more source

Spectral validity and spindle detection of wearable frontal Electroencephalography: A per‐subject calibration framework and systematic validation against polysomnography using the Wearanize+ dataset

Sleep Research, EarlyView.
Abstract Background Wearable Electroencephalography (EEG) devices enable home sleep monitoring but require systematic spectral validation before their physiological outputs can serve as proxies for polysomnographic features. Aims This study provides comprehensive spectral validation of the Zmax EEG headband against concurrent polysomnography (PSG ...
Yildiz Dilara Parry, Giovanni Briganti
wiley   +1 more source