Remote Observations Research Articles

Identifying the spatial patterns and environmental predictors of card skimming at gas stations: a remote systematic social observation of Google Street View imagery

Identifying the spatial patterns and environmental predictors of card skimming at gas stations: a remote systematic social observation of Google Street View imagery

Rancang Bangun Sistem Kontrol Irigasi Otomatis Berbasis IoT untuk Tanaman Stevia

This research focuses on developing an IoT-based automatic irrigation control system for stevia plants to optimize plant growth and water usage efficiency. The system integrates ESP32 microcontroller with soil moisture sensors, DS18B20 temperature sensors, and DHT11 environmental sensors for comprehensive monitoring. Using Research and Development (R&D) methodology with an experimental approach, the system was designed and implemented to automatically control irrigation based on soil moisture levels. The results demonstrate that the system successfully maintains optimal soil moisture by activating the pump when moisture levels fall below 38% and deactivating it above 40%. Real-time monitoring through the Blynk platform enables remote observation and control of environmental parameters. The integration of multiple sensors with IoT technology provides an efficient solution for stevia plant irrigation management, offering potential applications in smart agriculture.

Comparing remote and hand-held video observation methods for quantifying a cleaning mutualism.

Field studies of cleaning mutualisms use a variety of methods to quantify behavioral dynamics. Studies in marine systems typically utilize data recorded by human observers on scuba or snorkel or via remote underwater video. The effects of these different methods on cleaner-client behaviors have not been rigorously assessed. We quantified cleaner-client interactions at 13 bluestreak cleaner wrasse (Labroides dimidiatus) cleaning stations in Moorea, French Polynesia using hand-held and remote videos. We found that cleaning, cheating, and client posing rates, cleaning duration, and client species richness were all greater in the remote than in the hand-held videos, suggesting that human presence disrupts cleaning interactions by inducing antipredator responses among clients. Some metrics, such as the ratio of cleaner chasing to cleaning behavior and the cleaners' benthic feeding rate, were higher for the hand-held than the remote videos, possibly due to limited access of cleaners to clients in the presence of humans. Other metrics, such as cleaner and client chasing rates, the ratio of cleaning to cheating behaviors, and the duration of cleaner chases, did not differ between video types. Finally, piscivorous clients were far more abundant in the remote than the hand-held videos, suggesting that piscivores are particularly sensitive to human presence, likely because they are targeted by fishers. Overall, our study suggests that human presence can bias studies of cleaning behavior and cleaner-client interactions, and that remote cameras should be used to conduct behavioral studies. These potential biases should be considered when interpreting existing behavioral data.

REMOTE MONITORING OF RHEUMATOID ARTHRITIS PATIENTS USING A PERSONAL MESSENGER-BASED PLATFORM

BACKGROUND: Being stimulated by rapid development of communication technologies, telehealth delivery methods have become widespread and have potential benefits for diagnosis, treatment, rehabilitation and follow-up of patients. The article discusses the integration into clinical practice and the effectiveness of digital tool for remote monitoring and control of treatment of patients with rheumatoid arthritis. AIM: to evaluate the safety, effectiveness and technological features of monitoring patients with rheumatoid arthritis using a remote monitoring platform. METHODS: The prospective non-randomized controlled study included patients over 18 years with high and moderate activity rheumatoid arthritis discharged from the hospital for outpatient follow-up. The patients were divided into two groups: the first was a remote observation group, and the second was a standard in-person observation group. Data for remote assessment of patients' condition was obtained through a questionnaire using a software package for remote monitoring of patients based on personal messenger - Telemedbot. We used the HAQ functional disability assessment questionnaire, the EQ-5D European quality of life questionnaire, and questions to assess patients’ adherence to recommendations, the duration of morning stiffness, the number of painful and swollen joints, and the patient’s general assessment of the disease using a visual analogue scale. After 6 months, the effectiveness of rheumatoid arthritis treatment according to DAS28 was assessed in both groups. RESULTS: 30 patients used the remote monitoring program for 6 months. The traditional observation group also consisted of 30 patients. After 6 months, among patients using Telemedbot, low RA activity and remission were achieved more often than in the second group (p = 0.049). In the remote monitoring group, 9 (30.0%) and 11 (36.7%) patients achieved remission and low disease activity, respectively, versus 3 (10.0%) and 8 (26.7%) patients in the face-to-face control group. Thus, in the remote observation group, 20 (66.7%) patients managed to control the disease, while in the only face-to-face observation group, only 11 (36.7%) patients. CONCLUSION: Remote monitoring using Telemedbot can be considered a potential tool for increasing the availability of medical care and increasing the effectiveness of rheumatoid arthritis treatment.

Tropical teleconnections through the Amundsen Sea Low impact Antarctic toothfish recruitment within the Ross Gyre

Antarctic toothfish (Dissostichus mawsoni) in the Ross Sea region are believed to spawn predominantly in the northern parts of the Ross Gyre during the austral winter with fluctuations in their recruitment observed. This Lagrangian modelling study attempts to explain these fluctuations and shows how sea-ice drift impacts the buoyant eggs and the overall recruitment of juveniles reaching the Amundsen shelf break. Interannual variations in the Amundsen Sea Low, linked to tropical sea surface temperatures, cause modulations in the sea-ice drift and subsequent recruitment. When the Amundsen Sea Low is weaker, consistent with El Niño conditions, the northward sea-ice drift reduces, and more eggs remain within the Ross Gyre leading to a larger recruitment success. Conversely, recruitment success reduces during La Niña conditions. The sea-ice drift may explain about 80% of the interannual Antarctic toothfish recruitment variability over the period 1975–2016 and is of particular importance during the first year after spawning. These results enable future interannual changes in Antarctic toothfish recruitment success based on remote observations to be anticipated. Our findings suggest that ongoing climate change strengthening of the Amundsen Sea Low, will likely contribute to a long-term toothfish recruitment decline in the Ross Gyre region.

Physicians’ Perspectives on Using Direct Observation to Assess Non-English Language Proficiency for Clinical Practice: A Qualitative Study

BackgroundCommunication barriers are known to adversely affect patient safety. Yet few health systems assess and track physician non-English language proficiency for use in clinical settings. Barriers to current assessments (usually simulated clinician oral proficiency interviews) include time constraints and lack of interactivity. This study's objective was to investigate physician perspectives on using direct clinical observation as an alternative form of assessment of their non-English language skills. MethodsThe authors conducted semistructured interviews with 11 fully and partially bilingual primary care physicians (general internists) from a large academic health system to understand physician perspectives on using direct observation as an alternative form of assessing non-English proficiency for use in clinical practice. Two researchers independently and iteratively coded transcripts using thematic analysis with constant comparison to identify themes. ResultsParticipants, mostly women (n = 9; 81.8%), reported varying levels of proficiency in Cantonese, Mandarin, Russian, or Spanish. Participants expressed three main themes: (1) benefits of direct observation, including familiar setting, relevant content, and convenience; (2) disadvantages, including discomfort, potential embarrassment, and limitations of observing a single encounter; and (3) suggestions to enhance use of direct observation tools, such as observing multiple encounters, and use of remote observation. ConclusionTo ensure high-quality language-concordant care, health systems must assess physicians’ non-English language proficiency. If validated tools can be developed and disseminated in clinical practice, direct observation may be an acceptable option.

The Schatten current sheet

Space weather models endeavoring to connect remote observations to in-situ measurements at various locations in the heliosphere invariably require a coronal model to connect the photosphere magnetically to the inner heliosphere. The most famous and popular implementation of this connection is a potential field source surface (PFSS) model out to the source surface, typically located at 2.5 solar radii, combined with a Schatten current sheet (SCS) model. While the PFSS model is mostly understood, the SCS has been utilized in heliospheric physics for nearly 50 years with little understanding of it’s physical and mathematical underpinnings. In this overview article, I lay out the mathematical formalism of the SCS, describe how it differs from the PFSS, and summarize several techniques used to combine the PFSS and SCS to create a global coronal model from the photosphere to the inner heliosphere.

A unique Ruleset for Saltmarsh and Mangrove monitoring using Sentinel-2

Abstract. Mangrove and saltmarsh vegetation are two important communities in the wetland ecosystem that require continuous monitoring considering their ecological threats and status. Remote Sensing observation is one of the tools to monitor this community. However algorithms are also important for the best sensor to map it accurately. Although there is some research about eCognition-based mapping, a unique rule set is important to monitor this community. Considering this research gap, a unique threshold-based ruleset has been generated in the Random Forest Model environment. A range of vegetation indices, individual bands of Sentinel 2 and Digital Elevation Model (DEM) data were tested in the feature selection method to find the best features for a Random Forest (RF) model. Top three variables were selected and those are (a) reNDVI_A, (b) VIRE_A, and (c) SWIR1 which gave 98.37% accuracy for the test data. A similar trend was found for the other three sites when they were compared with observed data. For site 1, Mangrove was 84.73%, Saltmarsh was 60.19%, and Mixed was 70.12% accurate. A similar trend was found for other three sites with overall accuracy 87.74 % for site-2, 66.23% for site 3, and 72.98% for site 4. A unique ruleset for wetland extent estimation will help to map a wide range of areas with a very minimum level of fieldwork. It will also reduce the cost of mapping done by visual observation, measurement and extensive fieldwork. The results of this work will provide the necessary insight and motivation for ecologists, and environmentalists.

Zoom to the Virtual Room: The Shift to Remote Early Childhood Observational Assessments.

The COVID-19 pandemic has led prevention researchers to increasingly use remote observational procedures given social distancing directives associated with the pandemic. However, few studies have used remote observational procedures with children and their caregivers, with scant literature describing procedures with socioeconomically, racially, and ethnically diverse families. This manuscript describes processes to pivot to remote assessment of parent and child observations in the context of a longitudinal study examining the effects of a postpartum depression preventive intervention on responsive parenting and child self-regulation. We conducted remote assessments across three timepoints-42, 48, and 54 months-with 133 low-income and racially and ethnically diverse parent-child dyads. Details are provided on remote observation preparation and setup, as well as adaptation of observational assessments. Lessons learned are shared on the use of technology, scheduling considerations, parent's role as facilitator, maintaining child engagement, and cost considerations. We demonstrated excellent inter-rater reliability between independent coders on all assessments, suggesting the quality of remote assessments was conducive for analysis. Surveys with families completing a remote assessment found that most felt it was easy to participate in remote assessments and their child had a positive experience. Most parents preferred virtual visits if given an option for future assessments. Much prevention research utilizes observational measures that are less subject to bias. Our study demonstrated that research teams can effectively and reliably pivot to remote assessment with racially and ethnically diverse, low socioeconomic families, thereby providing guidance to other prevention researchers considering similar remote assessments with diverse samples.

Effectiveness of Adjunctive Drug Therapy to Endoscopic Stenting in Liver Cirrhosis Complicated by Refractory Variceal Bleeding

AIM OF THE STUDY. Comparative clinical analysis of the efficacy of terlipressin and octreotide as additional drug therapy to mechanical hemostasis with nitinol stent in patients with liver cirrhosis complicated by bleeding from esophageal varices refractory to endoscopic treatment.MATERIAL AND METHODS. Thirty-one patients with liver cirrhosis complicated by esophageal variceal bleeding refractory to endoscopic treatment , in whose complex treatment program, as a first-line life­saving measure, hemostasis with a self-expanding hemostasis was performed nitinol stent were randomly assigned to two groups. In group A, 20 patients were treated with terlipressin as an adjuvant to mechanical hemostasis, and in group B, 11 patients were treated with octreotide. Unpaired Student’s t-test was used for statistical analysis of the results. Graphs for assessing the survival function of patients for 8 weeks after the end of treatment were constructed using the Kaplan-Meier method.RESULTS. In the acute observation period terlipressin and octreotide were equally effective in treating refractory variceal bleeding. In the subacute observation period, the administration of octreotide was generally accompanied by a greater number of side effects (54.5%) than terlipressin (30.0%) (p=0.453). In the remote observation period, 8-week survival in the group of patients receiving terlipressin was higher than in the group of patients receiving octreotide.CONCLUSION. Terlipressin is as effective as octreotide as an adjunct to endoscopic stenting in drug therapy for liver cirrhosis complicated by esophageal variceal bleeding refractory to endoscopic treatment. At the same time, terlipressin has a greater effect than octreotide on reducing 8-week mortality, which approaches statistical significance. In this regard, terlipressin may be the vasoactive drug of choice in acute refractory variceal bleeding.

Far field operator splitting and completion in inverse medium scattering

Abstract We study scattering of time-harmonic plane waves by compactly supported inhomogeneous objects in a homogeneous background medium. The far field operator associated to a fixed scatterer describes multi-static remote observations of scattered fields corresponding to arbitrary superpositions of plane wave incident fields at a single frequency. In this work we consider far field operators for systems of two well-separated scattering objects, and we discuss the nonlinear inverse problem to recover the far field operators associated to each of these two scatterers individually. This is closely related to the question whether the two components of the scatterer can be distinguished by means of inverse medium scattering in a stable way. We also study the restoration of missing or inaccurate components of an observed far field operator and comment on the benefits of far field operator splitting in this context. Both problems are ill-posed without further assumptions, but we give sufficient conditions on the diameter of the supports of the scatterers, the distance between them, and the size of the missing or corrupted data component to guarantee stable recovery whenever sufficient a priori information on the location of the unknown scatterers is available. We provide algorithms, error estimates, a stability analysis, and we demonstrate our theoretical predictions by numerical examples.

Probing a planet from the subsurface to the atmosphere with infrasound data

The analysis of infrasound waves has a significant potential for retrieving a range of geophysical parameters across various scales, such as atmospheric structures, characteristics of surface and buried sources, and seismic velocity structures. This potential was recently showcased in infrasound studies that illustrated the ability to retrieve Earth's shallow velocities and Mars' near-surface atmospheric winds from remote acoustic observations. Consequently, infrasound is becoming an essential component of planetary missions, providing insights into the interiors and atmospheres of other terrestrial planets in the solar system. However, utilizing infrasound data requires efficient forward wave simulation techniques and an accurate description of waveform sensitivity to source and medium parameters. Even under ideal conditions, many inverse problems associated with infrasound-based probing are inherently ill-posed, necessitating regularization or other approaches to ensure reliable results. In this contribution, we highlight recent seismo-acoustic research findings, addressing atmospheric probing at both smaller and global scales, as well as innovative methods to accelerate infrasonic wave propagation modeling.

Evaluation of the effectiveness of topical use of sertaconazole in dermatophytosis

Objective — to evaluate the effectiveness of a cream containing sertaconazole nitrate 2 % (Onabet 2 % cream) in patients with various forms of dermatophytosis. Materials and methods. 32 patients aged 21—50 were under outpatient observation. The duration of dermatophytosis varied from several weeks to 3 months. Tinea corporis was diagnosed in 25.0 % of patients, foot mycosis in 43.8 %, and axillary mycosis in 31.2 %. The diagnosis was based on the clinical manifestations of the disease and the results of microscopic examination with potassium hydroxide (PH). The clinical picture was evaluated based on the presence of subjective and objective signs (itching, erythema, scaling, vesicles/maceration, pustules) and their intensity according to the scale: 0 points — absence, 1 point — mild, 2 points — moderate, 3 points — severe. The area of skin damage was determined using the «rule of the palm» in patients. The final score of clinical manifestations was calculated by adding the individual scores of each symptom and the value of the area of the affected skin. Onabet 2 % cream was applied by patients twice a day to the affected area of the skin for 4 weeks. Results and discussion. As a result of topical treatment, positive dynamics regarding the clinical manifestations of dermatophytosis were noted in all patients. The regression of inflammatory symptoms (itching, erythema, wetting in 65.5, 40.6 and 71.4 % of patients, respectively) by the end of the 1st week of treatment serves as evidence of anti-fungal, anti-inflammatory and anti-pruritic effects. The terms of regression of clinical manifestations of dermatophytosis depended on the clinical form of the infection. Clinical remission by the end of the 1st week of therapy in 34.4 % of patients, clinical remission and mycological negativity by the end of the 2nd week in 81.3 % of patients testify to the rapid effect of the drug. At the end of the 6th week, clinical success was achieved in 93.7 %, mycological (pathogen eradication) in 100.0 % of patients. Remote observation results within 3 months showed no disease recurrence in all patients. Side effects during treatment were not registered. Conclusions. Onabet cream 2 % is a modern topical antimycotic with a wide spectrum of action; its use twice a day for 1 month allows for achieving clinical cure in 93.7 %, etiological cure in 100 % of patients with dermatophytes (tinea corporis, tinea pedis, and tinea cruris). The high effectiveness and safety of Onabet cream in treating dermatophytosis allow us to recommend this topical agent for treating patients with dermatophytosis.

The Effects of Turbulence on Heliosheath Ions and Implications for Energetic Neutral Atoms

The distribution of ions in the heliosheath—the region between the heliospheric termination shock and the heliopause—is important for understanding remote observations of energetic neutral atoms (ENAs). The ion distributions were estimated previously based on hybrid simulations of the heating and evolution of solar wind and interstellar pickup ions across the solar wind termination shock, but these estimates only provide the distributions near the shock. In this work, we use self-consistent hybrid kinetic simulations to investigate the effects of turbulence on ion distributions in the heliosheath. The simulations are compared against Voyager observations, constraining the feasible amplitude and compressibility of turbulence. We find that the heating due to turbulent dissipation can lead to a significant increase in the temperature of thermal solar wind ions. Both turbulent velocity fluctuations and the heating of solar wind ions increase the charge-exchange source for ENAs at low energies (around 100 eV), where current ENA models underpredict observations by more than an order of magnitude. However, the effects of turbulence are likely not strong enough to fully explain these discrepancies.

The Challenge of Detecting Remote Spectroscopic Signatures from Radionuclides

The characterization of exoplanetary atmospheres through transit spectra is becoming increasingly feasible, and technology for direct detection remains ongoing. The possibility of detecting spectral features could enable quantitative constraints on atmospheric composition or even serve as a potential biosignature, with the sensitivity of the instrument and observation time as key limiting factors. This paper discusses the possibility that future remote observations could detect the presence of radioactive elements in the atmospheres of exoplanets. Such radionuclides could arise from cosmogenic or geologic sources, as well as from industrial sources, all of which occur on Earth. The detection of radionuclides in an exoplanetary atmosphere could reveal important properties about the planet’s geology or space environment and potentially could serve as a technosignature. However, many radionuclides, including those from industrial sources, attach to aerosol or other particles that cannot be remotely characterized. Limited experimental and theoretical spectral data exist for long-lived radionuclides, but the sensitivity required to detect the spectral features of some known radionuclides would be at least several orders of magnitude greater than required to detect the spectral features of molecular oxygen. Present-day remote spectroscopic observing mission concepts at ultraviolet to mid-infrared wavelengths are not sensitive to discern the presence of radionuclides in exoplanetary atmospheres. Interplanetary fly-by or probe missions may be more likely to provide such data in the future.

Managing the rehabilitation of patients following joint replacement using remote support tools

The article considers the approach to the development of an intelligent decision support system based on artificial intelligence technologies to manage the rehabilitation process in patients who have undergone joint endoprosthetic surgery. The paper focuses on the advantages of using complex intelligent systems in various industries requiring personalised approaches to the object, including medicine. The prospects for their further development are considered. The creation of a digital twin reflecting the key parameters of the object and its development trajectory from the moment of the first interaction with the system is proposed. The system, developed on the basis of software and instrumental environments, provides the possibility of remote observation and correction of the recovery plan by specialists, which represents a significant advantage compared to traditional methods. In order to ensure the adaptability of the system and the actualisation of the proposed solutions, control over the patient's condition and adaptation of treatment programmes is achieved by means of periodic and unscheduled checking of the object indicators. This is achieved by comparing the indicators obtained as a result of video data analysis with the normalised indicators of the system. The developed system analyses video recordings, performs movement analysis and adapts rehabilitation measures depending on the obtained data on the patient's motor activity in real time. The proposed method offers the potential to enhance the precision and personalisation of rehabilitation approaches, thereby facilitating greater accessibility and efficacy in treatment. The integration of artificial intelligence elements into clinical practice presents a promising avenue for optimising rehabilitation processes.

The role of the cryosphere for runoff in a highly glacierised alpine catchment, an approach with a coupled model and in situ data

Abstract Runoff from heavily glacierised catchments, its seasonality and the contribution from different storage units are highly relevant for assessing the seasonal and long-term water supply and flood prediction. Modelling studies on runoff from such basins often use simulated meteorological input (e.g. downscaling products) based on remote observations. We investigate the contribution of snow, firn and ice to runoff in the Vernagtferner basin (Ötztal Alps) from 2020 to 2022, using a physical modelling chain driven by a local observation network. We use the SNOWPACK model to simulate snow/ice development at observation sites and the Alpine3D model to calculate accumulation and melt at the catchment scale. Basin discharge is estimated using a gridded version of the HBV-ETH model. This approach largely reproduces observed glacier mass balances, while modelled and measured basin discharge are in good agreement. Snowmelt dominates discharge in the early melt season, while ice melt becomes increasingly important during summer. This is in strong contrast to the near-equilibrium mass balances in the 1980s, when ice melt played a minor role for annual discharge. The strong reduction of the accumulation area leads to a fundamental change from a snowmelt regime to an ice melt regime, which is especially pronounced in 2022.

Оценка результатов лечения больных с синдромом шейного ребра в послеоперационном периоде

The pectoral exit syndrome is of undoubted interest for surgeons, angiosurgeons and neurologists due to the possible compression of the vascular-nervous plexus, causing certain symptoms and reducing work abilities. Objective To conduct an analysis of the results of the treatment of patients with cervical rib syndrome in the short and remote observation periods in the postoperative period. Material and methods 138 patients with abnormal cervical ribs were the clinical material and the object for the study, abnormal cervical ribs caused the extravasal compression of the vascular bunch of the upper extremities at the exit from the chest. These patients were treated and were operated on in the vascular surgery department of the Republican Scientific Center of Cardiovascular Surgery from January 1990 to May 2020. Results Good postoperative results were observed in 89.1 % of patients in the short postoperative period. Intraoperative complications were noted in 5 (3.6 %), and in the short postoperative period – in 10 (7.2 %) patients. In the remote period, relapse of preoperative symptoms of the disease was noted in 8 (5.8 %) of all 138 patients observed. Relapse (or renewal of the symptoms of Reino) was mainly observed in the period of up to 3 years. At different times of observation, 5 patients were lost from sight. In the remote period, in terms of up to 1 year of observation, a good result was 97.2 %, from 2–3 years to more than 5 years – 90.6 %. Conclusions The early identification of intraoperative and postoperative complications allows to timely eliminate these complications. In the nearest postoperative period, only the hemodynamic effect of decompression operations and selective cervical-breed sympathctomy is obvious. Neurological symptoms regressed gradually in the remote period. In this case, it is necessary to emphasize the importance of timely rehabilitation therapy, the implementation of the recommendations of a specialist, since the restoration of dystrophic changes in the nerve trunks is a long process.

Quasi-likelihood estimation of the arrival time of an ultra-wideband quasi-radio signal with unknown amplitude and initial phase

The problem of estimating the time of arrival of a signal is relevant in the fields of radio and hydrolocation, radio astronomy, remote observation and sensing, etc. The useful signal is often described by a quasi-deterministic function of time, which can be regular or discontinuous. In recent years, problems of processing ultra-wideband signals have been of significant interest. Among the many UWB signals, it is customary to distinguish a separate class of ultra-wideband quasi-radio signals, the structure of which is similar to the structure of narrowband radio signals, but the condition of relative narrowband for which may not be met. Algorithms for estimating the arrival time of regular ultra-wideband quasi-radio signals have been studied in the existing literature. In this case, the synthesis and analysis of an algorithm for quasi-plausible estimation of the arrival time of a discontinuous signal of finite duration and arbitrary shape is of practical interest. The purpose of the work is to synthesize and analyze a quasi-likelihood algorithm for estimating the time of arrival of a discontinuous ultra-wideband quasi-radio signal with an unknown amplitude and initial phase against a background of white Gaussian noise. In this work, closed asymptotically exact expressions for the bias and scattering of the estimate are obtained, which make it possible to study the effectiveness of the synthesized algorithm, as well as compare its effectiveness with special cases of signal models - narrowband and wideband radio and video signals. The results of the study make it possible to determine losses in the accuracy of estimation the signal arrival time due to a priori ignorance of the initial phase and shape of the modulating function of the signal. Depending on the required accuracy of estimate the time of arrival of an ultra-wideband quasi-radio signal, it is possible to optimize the parameters of the transmitted signals and determine the limits of applicability of the designed radio system.

Improving remote sensing scene classification using dung Beetle optimization with enhanced deep learning approach

Remote sensing (RS) scene classification has received significant consideration because of its extensive use by the RS community. Scene classification in satellite images has widespread uses in remote surveillance, environmental observation, remote scene analysis, urban planning, and earth observations. Because of the immense benefits of the land scene classification task, various approaches have been presented recently for automatically classifying land scenes from remote sensing images (RSIs). Several approaches dependent upon convolutional neural networks (CNNs) are presented for classifying brutal RS scenes; however, they could only partially capture the context from RSIs due to the problematic texture, cluttered context, tiny size of objects, and considerable differences in object scale. This article designs a Remote Sensing Scene Classification using Dung Beetle Optimization with Enhanced Deep Learning (RSSC-DBOEDL) approach. The purpose of the RSSC-DBOEDL technique is to categorize different varieties of scenes that exist in the RSI. In the presented RSSC-DBOEDL technique, the enhanced MobileNet model is primarily deployed as a feature extractor. The DBO method could be implemented in this study for hyperparameter tuning of the enhanced MobileNet model. The RSSC-DBOEDL technique uses a multi-head attention-based long short-term memory (MHA-LSTM) technique to classify the scenes in the RSI. The simulation evaluation of the RSSC-DBOEDL approach has been examined under the benchmark RSI datasets. The simulation results of the RSSC-DBOEDL approach exhibited a more excellent accuracy outcome of 98.75 % and 95.07 % under UC Merced and EuroSAT datasets with other existing methods regarding distinct measures.