We present a physical model describing the radiance acquired by an infrared sensor over a rugged heterogeneous surface. This model predicts the radiance seen over complex landscapes like urban areas and provides an accurate analysis of the signal, as each component is available at ground and sensor level. Plus, it allows data comparison from different instruments. Two representative cases (natural and urban) are analysed to show the composition and the construction of the sensor signal and to highlight the importance of having a 3D model, especially for rugged surfaces where environment weights in the overall spectral domain.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/oe.14.002130 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Modeling of Jet Lag and Searching for an Optimal Light Treatment.
J Biol Rhythms
January 2025
Department of Physics and i3n, University of Aveiro, Aveiro, Portugal.
The role of the hierarchical organization of the suprachiasmatic nucleus (SCN) in its functioning, jet lag, and the light treatment of jet lag remains poorly understood. Using the core-shell model, we mimic collective behavior of the core and shell populations of the SCN oscillators in transient states after rapid traveling east and west. The existence of a special region of slow dynamical states of the SCN oscillators can explain phenomena such as the east-west asymmetry of jet lag, instances when entrainment to an advance is via delay shifts, and the dynamics of jet lag recovery time.
View Article and Find Full Text PDFFeasibility study on fingerprinting organic and conventional mango fruits, chips, and juice using portable near-infrared spectroscopy.
Anal Methods
January 2025
Department of Food Science and Postharvest Technology, School of Applied Sciences and Technology, Cape Coast Technical University, Cape Coast, Ghana.
This research examined the distinction between organic and conventional mango fruits, chips, and juice using portable near-infrared (NIR) spectroscopy. A comprehensive analysis was conducted on a sample of 100 mangoes (comprising 50 organic and 50 conventional) utilising a portable NIR spectrometer that spans a wavelength range from 900 to 1700 nm. The mangoes were assessed in their entirety and their juice and chip forms.
View Article and Find Full Text PDFA study on the relationship between physical exercise and feelings of inferiority among college students: the chain mediating effect of social support and emotional regulation ability.
Front Psychol
January 2025
Sports Training Academy, Chengdu Sport University, Chengdu, Sichuan, China.
Objective: This study aims to explore the impact of physical exercise on feelings of inferiority among college students, focusing on the mediating roles of social support and emotional regulation ability. The research investigates both direct and indirect pathways to understand how physical exercise enhances psychological resilience and mitigates negative self-perceptions.
Methods: A sample of 2,036 college students from 15 provinces in China was surveyed using validated scales for physical exercise, feelings of inferiority, social support, and emotional regulation ability.
Detecting anomalies in smart wearables for hypertension: a deep learning mechanism.
Front Public Health
January 2025
Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia.
Introduction: The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) using non-invasive methods, which is crucial for managing cardiovascular diseases. This research aims to address the limitations of current healthcare systems, particularly in remote areas, by leveraging deep learning techniques in Smart Health Monitoring (SHM).
View Article and Find Full Text PDFAssessment of physical education teachers' use of distance teaching behavior under the influence of the COVID-19 pandemic.
PeerJ
January 2025
Department of Physical Education, Health & Recreation, National Chiayi University, Chiayi, Taiwan.
Background: For many physical education teachers, being suddenly forced to switch from traditional face-to-face teaching to online teaching without adequate mental preparation posed numerous challenges and difficulties. Therefore, the purpose of this study is to validate the use of distance teaching behavior models for physical education teachers under the influence of the COVID-19 pandemic.
Method: The unified theory of acceptance and use of technology (UTAUT) model was employed to explore the use intention and use behavior of distance teaching.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!