Imagery - Science topic

Given the Instagram marketing megatrend, luxury brands seek differentiation strategies to achieve a competitive advantage on social media. Based on the narrative transportation theory (NTT), this research examines the influence of individual and content processing factors on narrative transportation and trust; to assess their impact on visit intent...

Bark beetles cause severe damage to European forests leading to impacts on many sectors, from the environmental to the economical. Timely mapping of the different stages of an attack is very important. Remote sensing has been widely used to map bark beetle damage using both airborne and satellite data. Newly available satellite multispectral data w...

The rising competition for scarce land and water resources and the need to satisfy the global food demand from an ever-growing population necessitates novel methods to monitor irrigation scheme performance for improved water use efficiency. The traditional methods employed in sub-Saharan Africa to assess irrigation performance are point-based, expe...

Monitoring glaciers and understanding changes in their dynamics is critical since glaciers' general condition and behaviour are indicators of climate change progress. Melting marine-terminating glaciers, in particular, pose a threat to global security as they are one of the major contributors to global sea-level rise. A rise of this magnitude endan...

Land-use change is highly dynamic globally and there is great uncertainty about the effects of land-use legacies on contemporary environmental performance. We used a chronosequence of urban grasslands (lawns) that were converted from agricultural and forested lands from 10 to over 130 years prior to determine if land-use legacy influences component...

Imagery '

Recent approaches conceptualize mental imagery as a simulatory mode of perceptual experience, which relies on the voluntary engagement of the same top-down prediction processes that shape our perception of the external world. If so, then imagery should induce similar predictive biases as those that are known to govern the perceptual representation...

The main purpose of the study was to survey on Sports Imagery Ability of Students of Bharati Vidyapeeth (Deemed to Be University) College of Physical Education. For this study total of 50 students were randomly selected from Bharati Vidyapeeth (Deemed to Be University) College of Physical Education. The subject's age ranged between 18 to 25 years....

The Mensa Isiaca is a bronze table decorated with elaborate polychrome metal inlays of Egyptian-style figures and pseudo-hieroglyphs. First appearing in Rome in the 16 th century, its manufacture, origin, and significance have been the subject of much inquiry and speculation. This study, conducted by conservators and scientists of the J. Paul Getty...

Drought is one of the natural disasters that causes substantial losses to food crop production , water supply in several important sectors such as industry, settlements, and agriculture. Climate change often causes drought on agricultural land and can indirectly threaten livelihoods and food security. This study aims to analyze the distribution of...

Although emotion and olfaction are closely linked, only a few studies have investigated olfactory processing in alexithymia, a condition characterized by altered emotional processing. These results do not allow comprehensive conclusions on whether individuals with alexithymia present lower olfactory abilities or only altered affective reactions and...

Social media platforms have had a tangible effect on how users share information and their digital literacy skills. Infographics are often shared on Instagram, but they harbour the potential for misinformation. Users do not always research posts before sharing, and the social nature of the site influences user behaviour. Current digital literacy th...

The James Webb Space Telescope (JWST) is NASA’s flagship mission successor to the highly successful Hubble Space Telescope. It is an infrared observatory featuring a cryogenic 6.6 m aperture, deployable Optical Telescope Element (OTE) with a payload of four science instruments (SIs) assembled into an Integrated Science Instrument Module (ISIM) that...

The primary objective of toll roads is to stimulate economic growth. As the pivotal road network on Java Island, the Trans-Java Toll Road has a significant impact on regional development and spatial planning. However, there has been a lack of research focusing on the specific influence of this toll road on spatial planning. Therefore, this study ai...

Unmanned aerial vehicles (UAVs) are increasingly being integrated into the domain of precision agriculture, revolutionizing the agricultural landscape. Specifically, UAVs are being used in conjunction with machine learning techniques to solve a variety of complex agricultural problems. This paper provides a careful survey of more than 70 studies th...

Both the vastness of pasturelands and the value they contain—e.g., food security, ecosystem services—have resulted in increased scientific and industry efforts to remotely monitor them via satellite imagery and machine learning (ML). However, the transferability of these models is uncertain, as modelers commonly train and test on site-specific or h...

Many modern applications use computer vision to detect and count objects in massive image collections. However, when the detection task is very difficult or in the presence of domain shifts, the counts may be inaccurate even with significant investments in training data and model development. We propose DISCount -- a detector-based importance sampl...

Image classification is a machine learning task that involves assigning a label or class to an input image. In the context of the Infrared Solar Modules dataset, image classification can be used to identify anomalies in solar panel imagery. To achieve this goal, A convolutional neural network (CNN) model trained from scratch and fine-tuned on the I...

Although natural regeneration is often an efficient process for recovering degraded areas, the emergence of invasive species can complicate this process and lead the ecosystem to an alternative stable state (ASS) that disrupts ecosystem functioning. Identifying this condition is a key step in the design of restoration strategies. In this sense, we...

Monitoring city sprawls is considered an essential subject in urban planning. The most important object in the urban areas is the building; therefore, finding an automatic method for detecting the changes in the buildings is considered a priority task for researchers to consider the changes in a district, especially for assessing the damages during...

Lava domes exhibit highly unpredictable and hazardous behavior, which is why imaging their morphological evolution to decipher the underlying governing mechanisms remains a major challenge. Using high-resolution satellite radar imagery enhanced with deep-learning, we image the repetitive dome construction-subsidence cycles at Popocatépetl volcano (...

This book explores the potential of specific photographic images for reflecting on experiences of mental disorders. Instead of looking at photographs of (people suffering from) mental disorders, this volume aspires to comprehend the complexities of such conditions through photographic lexicons, metaphors, and practices. For this book, a mental diso...

The retrospective study compares student self-rating of success after completing a five-week self-healing project from ‘pre-pandemic’ 2012 and 2016 in-person classes to online and hybrid ‘pandemic’ 2021-2022 classes. Each semester students enroll in an undergraduate Holistic Health course that includes weekly lectures, daily practices and reading a...

Species monitoring can be strongly limited by terrain accessibility, impeding our understanding of species ecology and thus challenging their conservation. This is particularly true for species living in the canopy, on cliffs or in dense vegetation. Remote sensing imagery may fill this gap by offering a cost-effective monitoring approach allowing t...

Dysmenorrhea is one of the most common conditions experienced by women during menstruation. A recent systematic review and meta-analysis accounting for over 20,000 women across 37 studies suggests the prevalence of pain symptoms associated menstrual cramps is as high as 70%, accounting for economic, cultural, national and educational factors (cf. A...

We present the RSSOD-Bench dataset for salient object detection (SOD) in optical remote sensing imagery. While SOD has achieved success in natural scene images with deep learning, research in SOD for remote sensing imagery (RSSOD) is still in its early stages. Existing RSSOD datasets have limitations in terms of scale, and scene categories, which m...

In the south-west of the Mediterranean, the Jijel coastal waters (JCW) run along the central part of the east coast of Algeria. A useful indicator of the health of coastal waters is the concentration of total suspended matter (TSM). This study intends to investigate how chlorophyll a (Chla) and climatic variables affect TSM variability, to look for...

The Arctic zone of West Siberia (Yamal and Gydan peninsulas) is an area with continuous permafrost and tabular ground ice close to the surface, active thermodenudation, and related landforms: retrogressive thaw slumps (RTS); in Russian referred to as thermocirques (TC). The dimensions of most TCs have not been determined so far. We use Sentinel 2 i...

Accurate traffic prediction is crucial to alleviating traffic congestion in cities. Existing physical sensor-based traffic data acquisition methods have high transmission costs, serious traffic information redundancy, and large calculation volumes for spatiotemporal data processing, thus making it difficult to ensure accuracy and real-time traffic...

Bridge decks tend to degrade faster than other bridge components due to environment exposure and vehicular loading. Periodic degradation monitoring is needed for timely rehabilitation measures and development of service life models in bridge decks. Surface degradation are identified through visual inspection (VI) and post-processing of high-definit...

Tree canopy height is one of the most important indicators of forest biomass, productivity, and species diversity, but it is challenging to measure accurately from the ground and from space. Here, we used a U-Net model adapted for regression to map the canopy height of all trees in the state of California with very high-resolution aerial imagery (6...

Chemical residues from the use of pesticides in agriculture can impact human health through environmental and food pollution. To lessen the negative effects of excessive pesticide use, pesticides must be applied to plants by dose. The dose of pesticide application can be based on a plant health level, which is the result of drone Normalized Differe...

Images and textual reviews are central to social commerce sites. But little is known about the mechanism by which image quality and type of textual review (with personal experiences versus facts) impact consumer purchase intention on a social commerce page. We address this knowledge gap and use the stimulus-organism-response (S-OR) framework to dev...

Drawing on the emerging area of workplace sustainability, this study sought to measure the effects of multimodal physical and cognitive fitness training on sustaining mental health and job readiness via impacts on subjective burnout, mental wellbeing, and resilience in a military cohort. Volunteer participants were block randomised into either a st...

Classification and analysis of high-resolution satellite images using conventional techniques have been limited. This is due to the complex characteristics of the imagery. These images are characterized by features such as spectral signatures, complex texture and shape, spatial relationships and temporal changes. In this research, we present the pe...

Objective The objective of this review was to evaluate the efficacy of mental imagery training (MIT) in promoting bilateral transfer (BT) of motor performance for healthy subjects. Data sources We searched 6 online-databases (Jul-Dec 2022) using terms: “mental practice,” “motor imagery training,” “motor imagery practice,” “mental training,” “movem...

The author's individual style as a multilevel and multidimensional manifestation of personality is an integral part of the study of modern linguistics and cognitive linguistics. Modern linguistics text aims to move from the study of integrated textual structure to the analysis of the text as an anthropocentric communicative system aimed at the pers...

Safety and environmental aspects are crucial beyond production goals in the hydropower industry. By monitoring landslides associated with the construction of a hy-dropower dam in the Santa Cruz River in Argentine Patago-nia, this paper contributes to the assessment of the project structural integrity of the construction and safety risks. Ground def...

Accurate, detailed, and up-to-date information on cropland extent is crucial for provisioning food security and environmental sustainability. However, because of the complexity of agricultural landscapes and lack of sufficient training samples, it remains challenging to monitor cropland dynamics at high spatial and temporal resolutions across large...

We use high temporal-resolution mesoscale imagery from the Geostationary Operational Environmental Satellite-R (GOES-R) series to track the Lamb and gravity waves generated by the January 2022 Hunga Tonga-Hunga Ha’apai eruption. The 1-min cadence of these limited area (~1,000×1,000 km^2) brightness temperatures ensures an order of magnitude better...

p>This paper evaluates different optical and synthetic aperture radar (SAR) image fusion methods applied to open-access Sentinel images with global coverage. The objective of this research was to evaluate the potential of image fusion methods to get a greater visual difference in land cover, especially in oil palm crops with natural forest areas th...

Leaf area profiles (LAP) represent the green leaf area per unit ground area distributed with the vertical leaf layer, which is a key trait for guiding nutrition diagnosis, crop management and crop breeding. However, passive mono-angle optical sensors don't have direction information on vertical LAP, which makes spectral remote sensing can't capture...

Background and Study Aim. Volleyball is a popular team sport that requires a combination of technical skills, coordination, and teamwork. However, there is a need for innovative and effective teaching methods that can enhance the learning experience and skill acquisition process for young learners. The study aim to assess the efficacy of using visu...

Vegetation monitoring is a key area that satellite remote sensing data uses. Landsat and Sentinel have become widely equipped satellite data across the globe due to the free accessibility and the availability of the data with different bands. Landsat data has been using different research areas in Sri Lanka than the Sentinel data. Even with higher...

Shoreline change is a process that occurs due to the impact of natural factors and human activities. Geographically, the coastal area of North Central Timor Regency (NCT) is in the northern part of the island of Timor, East Nusa Tenggara Province (ENT). Physically, the area is affected by the oceanographic dynamics of the Sawu Sea waters and aquacu...

Text-conditional diffusion models are able to generate high-fidelity images with diverse contents. However, linguistic representations frequently exhibit ambiguous descriptions of the envisioned objective imagery, requiring the incorporation of additional control signals to bolster the efficacy of text-guided diffusion models. In this work, we prop...

The detection of flooded areas using high-resolution synthetic aperture radar (SAR) imagery is a critical task with applications in crisis and disaster management, as well as environmental resource planning. However, the complex nature of SAR images presents a challenge that often leads to an overestimation of the flood extent. To address this issu...

The April 2021 La Soufrière of St. Vincent eruption generated several pyroclastic density currents (PDCs) during the two weeks of the crisis, from April 9 th to April 22 nd . To support the hazard assessment team during this eruption, numerical simulations were performed in real time and generated rapid scenario-based PDC invasion maps with the two...

Very little information exists on how the use of symbolic imagery, deployed within a cultural mediation practice focused on mental health, can contribute to a change in psychological well-being. We do know, however, that the emotions and reflections evoked by the content of the films and the identification with the characters provide a number of be...

AI models have shown promise in many medical imaging tasks. However, our ability to explain what signals these models have learned is severely lacking. Explanations are needed in order to increase the trust in AI-based models, and could enable novel scientific discovery by uncovering signals in the data that are not yet known to experts. In this pa...

Background and objectives: The Best Possible Self (BPS) has been found to be an effective manipulation to temporarily improve optimism and affect. The BPS has been used in different formats. In some versions, participants just write about their best possible future, while in others this is combined with imagery. An imagery only version has not bee...

Food managers face the dilemma of having to increase their product sales products without increasing risk for obesity. Here we posit that a strategy based on repeating front‐of‐package images of a flavor ingredient can help solve this dilemma. Prior literature reports positive benefits in terms of purchase from displaying one or more front‐of‐packa...

Accurate lithological mapping is a crucial juncture for geological studies and mineral exploration. Hyperspectral data provide the opportunity to extract detailed information about the geology and mineralogy of the Earth’s surface. Machine learning (ML) and deep learning (DL) techniques provide an accurate and effective mapping of various types of...

This paper experiments with the possibility to extract bathymetric information from port and coastal areas using exclusively satellite spatial data. For this purpose, very high resolution (VHR) optical imagery derived from Pleiades satellite constellation combined with data downloaded from Advanced Topographic Laser Altimeter System (ATLAS) of the...

Monitoring land cover using remote sensing is vital for studying environmental changes and ensuring global food security through crop yield forecasting. Specifically, multitemporal remote sensing imagery provides relevant information about the dynamics of a scene, which has proven to lead to better land cover classification results. Nevertheless, f...

Physically-based reflectance models offer a robust and transferable method to assess biophysical characteristics of vegetation in remote sensing. Forests exhibit explicit structure at many scales, from shoots and branches to landscape patches, and hence present a specific challenge to vegetation reflectance modellers. To relate forest reflectance w...

The deep learning, which is a dominating technique in artificial intelligence, has completely changed the image understanding over the past decade. As a consequence, the sea ice extraction (SIE) problem has reached a new era. We present a comprehensive review of four important aspects of SIE, including algorithms, datasets, applications, and the fu...

Understanding the distribution and characterization of natural and non-natural materials on the surface and near-subsurface is important for the development of infrastructure projects. This may be a challenge in highly urbanized areas, where outcrops are scarce, and anthropogenic activities have altered the morphological expression of the landscape...

Accurate segmentation of large areas from very high spatial-resolution (VHR) remote sensing imagery remains a challenging issue in image analysis. Existing supervised and unsupervised methods both suffer from the large variance of object sizes and the difficulty in scale selection, which often result in poor segmentation accuracies. To address the...

AI-based text-to-image generation has undergone a significant leap in the production of visually comprehensive and aesthetic imagery over the past year, to the point where differentiating between a man-made piece of art and an AI-generated image is becoming more difficult. Generative Models such as Stable Diffusion, Midjourney and others are expect...

Time-of-day is rarely considered during experimental protocols investigating motor behavior and neural activity. The goal of this work was to investigate differences in functional cortical connectivity at rest linked to the time of the day using functional Near-Infrared Spectroscopy (fNIRS). Since resting-state brain is shown to be a succession of...

This book takes readers on a profound journey into the alarming world of marine plastics pollution. As the ocean's silent crisis unfolds, this eye-opening book unveils the staggering magnitude of the problem, its devastating impacts on marine life, and the urgent need for action. Dive beneath the surface as the narrative uncovers the startling trut...