Reflection Component Research Articles

Unele aspecte referitor la conceptul, componentele și condițiile pedagogice de formare a competenței de gândire critică la elevii de vârstă școlară mică

The paper addresses some aspects of the concept, structural components, and general conditions for the formation of critical thinking competence in students. The basic topics reflected in the work are the following: relationships of skills critical and creative thinking; the means of training critical and creative thinking skills; critical thinking competency components and conditions; general training and development of critical thinking competence in students of small school age. The critical thinking competence is made up of the following components: attitudes, knowledge/information about means of knowledge, behavior (argument, analysis, logical and creative thinking, independent thinking) and the reflective component. Based on the theoretical, praxiological benchmarks and the provisions of the national curriculum, the psycho-pedagogical conditions for the formation and development of the critical thinking competence were elucidated. Each group of psychopedagogical conditions is mainly oriented towards the formation and development of certain components of critical thinking competence.

Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework.

The Retinex model is one of the most representative and effective methods for low-light image enhancement. However, the Retinex model does not explicitly tackle the noise problem and shows unsatisfactory enhancing results. In recent years, due to the excellent performance, deep learning models have been widely used in low-light image enhancement. However, these methods have two limitations. First, the desirable performance can only be achieved by deep learning when a large number of labeled data are available. However, it is not easy to curate massive low-/normal-light paired data. Second, deep learning is notoriously a black-box model. It is difficult to explain their inner working mechanism and understand their behaviors. In this article, using a sequential Retinex decomposition strategy, we design a plug-and-play framework based on the Retinex theory for simultaneous image enhancement and noise removal. Meanwhile, we develop a convolutional neural network-based (CNN-based) denoiser into our proposed plug-and-play framework to generate a reflectance component. The final image is enhanced by integrating the illumination and reflectance with gamma correction. The proposed plug-and-play framework can facilitate both post hoc and ad hoc interpretability. Extensive experiments on different datasets demonstrate that our framework outcompetes the state-of-the-art methods in both image enhancement and denoising.

The relationship between chlorophyll fluorescence and polarized light field: Polarization-Curve Fluorescence Height

The impact of the un-polarized nature of chlorophyll fluorescence, which causes a dip in the degree of polarization of the underwater light field matching the fluorescence spectrum, led to the development of a theoretical relationship indicating that the resulting fractional reduction in observed polarization is linearly proportional to the magnitude of the fluorescence causing it. To evaluate this relationship, we used a vector radiative transfer code (VRTE) for the coupled atmosphere-ocean system using measured inherent optical properties (IOPs) for a variety of oligotrophic and eutrophic waters as inputs. The VRTE was used to simulate elastic components of the underwater reflectance as well as the degree of linear polarization (DoLP) for these different conditions. These values were compared with the underwater reflectances and the DoLPs measured by a multi-angular hyperspectral polarimeter to determine the magnitude of the fluorescence component in the reflectance spectra at 685 nm, and the decrease of the DoLP due to the fluorescence impact at the same wavelength. Fluorescence magnitudes retrieved from the differences between simulated and measured reflectances were found to match well the magnitudes estimated through the relationship based on the drop of the DoLP. It is noted that retrieval accuracies increase for both larger fluorescence and larger underlying DoLP values. Furthermore, a new method is evolved from the measured polarization analysis, Polarization-Curve Fluorescence Height (PCFH). Measured polarization were used to approximate the elastic signal and derive the inelastic un-polarized signal (fluorescence) from the difference in the fluorescence vicinity. These results open possibilities for estimating the magnitude of natural fluorescence using polarization measurements below or above the water surface, .in-situ, or remotely from aircraft or future satellites. Results of ongoing work on potential sensitivities and retrieval accuracies for these applications will be reported.

RESEARCH APPROACH IN METHODOLOGICAL FUTURE SCIENCE TEACHER TRAINING

The article is devoted to a research approach implementation in the methodological training of future science teachers. The author emphasizes the need to develop research competence in higher education students majoring in the subject specialty 014.15 Secondary Education (Natural Sciences) and obtaining a professional qualification of a teacher of natural sciences, physics, chemistry, and biology to work in the New Ukrainian School. The article’s purpose is to reveal the essence of the research competence of future science teachers and the peculiarities of implementing the research approach in their methodological training. It has been established that the research approach involves the organization of the educational process in which learning takes place through research activities. The research competence of future science teachers is interpreted as an integrative quality of a personality that combines motivation for research, methodological knowledge and knowledge of research technologies, research skills, the ability to carry out research activities, organize them with students in teaching science subjects, and evaluate their effectiveness. It is determined that this research competence combines motivational, cognitive, activity-operational, and reflective components. The importance of methodological disciplines in the formation of research competence of future teachers of natural sciences, physics, chemistry, and biology is emphasized. It has been found that the research approach in the methodological training of future teachers requires the use of specific teaching methods and technologies (project, contextual, case technology, research laboratory work). It contributes to the research competence of higher education students development, in particular, their ability to organize students’ research activities in science classes in general secondary education institutions.

Physics-constrained adaptive kernel interpolation for region-to-region acoustic transfer function: a Bayesian approach

A kernel interpolation method for the acoustic transfer function (ATF) between regions constrained by the physics of sound while being adaptive to the data is proposed. Most ATF interpolation methods aim to model the ATF for fixed source by using techniques that fit the estimation to the measurements while not taking the physics of the problem into consideration. We aim to interpolate the ATF for a region-to-region estimation, meaning we account for variation of both source and receiver positions. By using a very general formulation for the reproducing kernel function, we have created a kernel function that considers both directed and residual fields as two separate kernel functions. The directed field kernel considers a sparse selection of reflective field components with large amplitudes and is formulated as a combination of directional kernels. The residual field is composed of the remaining densely distributed components with lower amplitudes. Its kernel weight is represented by a universal approximator, a neural network, in order to learn patterns from the data freely. These kernel parameters are learned using Bayesian inference both under the assumption of Gaussian priors and by using a Markov chain Monte Carlo simulation method to perform inference in a more directed manner. We compare all established kernel formulations with each other in numerical simulations, showing that the proposed kernel model is capable of properly representing the complexities of the ATF.

Creation and Implementation of a Blood Smear Simulation Model.

Being able to prepare a diagnostic blood smear for evaluation is an essential skill for veterinary practitioners. While this basic technique can be demonstrated via videos or illustrations, it can only be learned through practice and with feedback. With the necessity for virtual learning experiences during the COVID-19 pandemic, a model was developed and paired with an online module to facilitate at home instruction and practice of blood smear preparation. Materials for the simulated blood included water, corn starch, and gel-based food coloring. Students were supplied a kit that, in addition to the simulated blood, included slides, Kimwipes®, microhematocrit tubes, a disposable pipette, a cleaning cloth, and disposable gloves. The module includes an introduction to making blood smears, an explanation of simulation kit contents, a demonstration video, and a reflection component. The simulation experience was developed for a short course with 12 students, and the required clinical pathology course, which has 100 students. Overall, the model is cost-effective, and students felt that the activity was useful to practice making blood smears and provided a good introduction and useful explanation of the overall technique in a virtual/ distance learning environment.

Insight-HXMT, NICER, and NuSTAR Views to the Newly Discovered Black Hole X-Ray Binary Swift J151857.0–572147

The systematic properties are largely unknown for the black hole X-ray binary Swift J151857.0–572147 newly discovered in the 2024 outburst. The nature of a black hole can be completely defined by specifying the mass and dimensionless spin parameter. Therefore, accurate measurement of the two fundamental parameters is important for understanding the nature of black holes. The joint spectral fitting of a reflection component with simultaneous observations from Insight-HXMT, NICER, and NuSTAR reveals for the first time a black hole dimensionless spin of 0.84−0.26+0.17 and an inclination angle of 21.1−3.6+4.5 degrees for this system. Monitoring of the soft state by NICER results in disk flux and temperature following Fdisk∝Tin3.83±0.17 . For the standard thin disk, Ldisk≈4πRin2σTin4 , so the relationship between the flux and temperature of the disk we measured indicates that the inner radius of the disk is stable and the disk is in the innermost stable circular orbit. With an empirical relation built previously between the black hole outburst profile and the intrinsic power output, the source distance is estimated as 5.8 ± 2.5 kpc according to the outburst profile and peak flux observed by Insight-HXMT and NICER. Finally, a black hole mass of 3.67 ± 1.79–8.07 ± 4.20M ⊙ can be inferred from a joint diagnostic of the aforementioned parameters measured for this system. This system is also consistent with most black hole X-ray binaries with high spin and a mass in the range of 5–20 M ⊙.

Combining SIFT and the Information Needs, Types, and Qualities Approaches: A Framework-Informed Strategy for Information Literacy Instruction

Increasingly, librarians are encouraged to deliver information literacy sessions that go beyond finding and using traditional scholarly sources. They are asked to cover a wider range of the information ecosystem and develop students’ capacity to critically engage with Google and the open web. In this study, we incorporated these learning objectives in an introductory computational thinking course, combining two information literacy pedagogies. For evaluating sources, we used Mike Caulfield’s SIFT technique (Stop, Investigate the source, Find better coverage; Trace claims to the original source); for resource discovery, Lane Wilkinson’s Information Needs, Types and Qualities lesson. We adapted Wilkinson’s worksheet, asked students to apply the SIFT technique to their chosen sources, and added a reflection component where students documented their research process. We conducted a content analysis of the assignment responses and coded evidence of students demonstrating knowledge practices and dispositions of two frames from the ACRL Framework, Authority is Constructed and Contextual and Searching as Strategic Exploration. Our analysis showed that students responded well to learning the SIFT technique, particularly at investigating sources; furthermore, Wilkinson’s pedagogy for source discovery encouraged students to use a wide variety of research tools. The reflection component further revealed evidence of students’ research processes and metacognition. We found this unit to be an effective means of assessing these Framework concepts, and argue that it can be applied to other topics and disciplines.

Accretion Properties of Soft X-Ray Transient XTE J1856+053 during Its 2023 Outburst

Soft X-ray transients (SXTs) are a subclass of the low-mass X-ray binaries that occasionally show a sudden rise in their soft X-ray luminosity; otherwise, they remain in an extremely faint state. We investigate the accretion properties of the SXT XTE J1856+053 during its 2023 outburst obtained by NICER and NuSTAR data in July. We present detailed results on the timing and spectral analysis of the X-ray emission during the outburst. The power spectral density shows no quasi-periodic oscillation features. The source’s spectrum on July 19 can be well fitted with a multicolor blackbody component, a power-law component, and a reflection component with a broadened iron emission line. NICER spectra can be well fitted by considering a combination of a blackbody and a power law. The source exhibits a transition within just 5 days from a soft state to an intermediate state during the outburst decline phase. The inner accretion disk has a low inclination angle (∼18°). The spectral analysis also suggests a high-spin (a > 0.9) black hole as the central accreting object.

MSCS: Multi-stage feature learning with channel-spatial attention mechanism for infrared and visible image fusion

The intention of infrared and visible image fusion is to combine the images captured by different modal sensors in the same scene to enhance its understanding. Deep learning has been proven its powerful application in image fusion due to its fine generalization, robustness, and representability of deep features. However, the performance of these deep learning-based methods heavily depends on the illumination condition. Especially in dark or exposed scenes, the fused results are over-smoothness and low-contrast, resulting in inaccuracy of object detection. To address these issues, this paper develops a multi-stage feature learning approach with channel-spatial attention mechanism, namely MSCS, for infrared and visible image fusion. The MSCS is composed of the following four key procedures: Firstly, the infrared and visible images are decomposed into illumination and reflectance components by a proposed network called as Retinex_Net. Then, the components are transported to an encoder for features coding. Next, we propose an adaptive fusion module with attention mechanisms to fuse the features. Finally, the fused image is generated by the decoder for decoding the fused features. Meanwhile, a novel fusion loss function and a multi-stage training strategy are proposed to train the above modules. The subjective and objective results of experiments on TNO, LLVIP and MSRS datasets illustrate that the proposed method is effective and performs better than the state-of-the-art fusion methods on achieving enjoyable results in dark or over-exposure scenes. And the results of further experiments on the fused images for object detection demonstrate that the fusion outputs produced by our MSCS are more beneficial for detection tasks.

Accretion Geometry of GX 339–4 in the Hard State: AstroSat View

We perform broadband (0.7–100 keV) spectral analysis of five hard state observations of the low-mass black hole X-ray binary GX 339–4 taken by AstroSat during the rising phase of three outbursts from 2019 to 2022. We find that the outburst in 2021 was the only successful/full outburst, while the source was unable to make the transition to the soft state during the other two outbursts in 2019 and 2022. Our spectral analysis employs two different model combinations, requiring two separate Comptonizing regions and their associated reflection components and soft X-ray excess emission. The harder Comptonizing component dominates the overall bolometric luminosity, while the softer one remains relatively weak. Our spectral fits indicate that the disk evolves with the source luminosity, where the inner disk radius decreases with increasing luminosity. However, the disk remains substantially truncated throughout all the observations at the source luminosity of ∼2%–8%× of the Eddington luminosity. We note that our assumption of the soft X-ray excess emission as disk blackbody may not be realistic, and this kind of soft excess may arise due the nonhomogeneity in the disk/corona geometry. Our temporal analysis deriving the power density spectra suggests that the break frequency increases with the source luminosity. Furthermore, our analysis demonstrates a consistency between the inner disk radii estimated from the break frequency of the power density spectra and those obtained from the reflection modeling, supporting the truncated disk geometry in the hard state.

Broad-Band X-Ray Analysis of NGC 3227

Abstract Previously in Project A we carried out analysis of the data obtained by observations of the 1.5 Seyfert galaxy NGC 3227—the two observations performed by XMM-Newton in 2000 and 2006 and six observations by Suzaku in 2008. In the current paper, Project B, our work was extended to joint XMM-Newton and NuSTAR observations in 2016 as well as a NuSTAR observation in 2017. In Project A a unified model was constructed. The model consists of a hard power law ($\Gamma _{\mathrm{ Hard}}=1.4{\!-\!}1.7$) which is interpreted as the Comptonized emission from the corona above an accretion disk. In the high flux states an additional soft excess component dominates, which is consistent with either a power law ($\Gamma _{\mathrm{ Soft}}=3.3{\!-\!}3.85$) or warm Comptonization. These emissions are absorbed by a partially covering material and warm absorbers. A reflection component and several emission lines are also present. In Project B, the model presented in Project A was applied to more recent observations. It was found that this model remains valid. Our conclusion is that this model is consistent, valid with the long observations from 2000 to 2017 and over the broad frequency band from 0.3 keV to 50 keV.

Chiral Liquid-Crystal-Based Concave Holographic Spectrometer on a Curved Substrate.

Chiral liquid crystals (CLCs) self-assemble into a helical structure and can efficiently reflect circularly polarized light with corresponding handedness. Utilizing a curved glass substrate and polymerization of photoaligned CLCs, the operation of focusing and diffraction of incident light can be performed efficiently by a single component. When focusing and diffraction in a planar CLC cell are combined between two glass plates, the imaging suffers from astigmatism in the resulting spectrum. In this work, we demonstrate the operation of a spectrometer with low astigmatism using a polymerized CLC layer on a curved substrate. Two samples are fabricated, and the resulting components are operating in the wavelength range of 500-650 nm. Numerical optical modeling is used to minimize transverse aberrations and obtain a highly linear mapping on a camera sensor. In this way, it is demonstrated that a single reflective thin-film optical CLC component with a thickness of only a few micrometers can be used to realize a compact and efficient spectrometer.

Meningkatkan Hasil Belajar Siswa Melalui Penggunaan Media Gambar pada Materi Kenampakan Alam di Kelas IV SDN Teluk Timbau

The learning process carried out by teachers in schools is still not careful and precise in choosing and using media. This research aims to describe the improvement in learning outcomes of 21 students using image media on Natural Appearances material in class IV at SDN Teluk Timbau. This research is classroom action research with a procedure consisting of four main components of classroom research, namely planning, action, observation and reflection in 2 cycles. The instruments used in this research were student activity observation sheets and tests. The data obtained in the research was analyzed using quantitative data analysis techniques and qualitative data. In pre-cycle activities, cycle I and cycle II there was an increase in activity and student learning outcomes which were then compared with the results of observations in previous learning. Learning outcomes in the pre-cycle with an average score of 62.29. In cycle I, a score of 74.00 was obtained and in cycle II, student learning outcomes increased to 82.38. Thus, the use of image media in natural appearance material in class IV SDN Teluk Timbau can increase student activity and learning outcomes. Learning outcomes in the precycle with an average score of 62.29. In cycle I obtained a value of 74.00 and in cycle II student learning outcomes increased to 82.38. Thus, the use of image media in natural appearance material in grade IV SDN Teluk Timbau can improve student activities and learning outcomes.

Examining the Mediating Effect of the Rural Economic Dynamization between the Socio-Environmental Heritage and Sustainability of Protected Areas

This study examines the mediating effect of rural economic dynamization between socio-environmental heritage and the sustainability of protected areas in the buffer zone of the Serranía de las Quinchas Regional Natural Park, located in the municipality of Otanche, Boyacá Department, Colombia. The study population includes families that are part of the productive units in this area. The methodological approach of this study is based on partial least squares structural equation modeling. The working unit was established in the regional protected areas of Colombia, specifically in the Serranía de las Quinchas Regional Natural Park. A sample of 172 participants was selected using a non-probabilistic intentional sampling method, covering academics, company representatives, social leaders, local authorities, and representatives of non-governmental organizations. The study variables were measured using a scale with satisfactory psychometric properties, which included 12 items for socio-environmental heritage, 17 items for rural economic dynamization, and 11 items for the sustainability of protected areas. These were structured into subcategories based on the ecosystem services approach (factors that demonstrate social and economic dynamics). Responses were collected using a five-point Likert scale. The sample was analyzed using SmartPLS 3.3.3 software, applying a reflective–reflective hierarchical component model to evaluate the first- and second-order relationships among the variables. The results demonstrate the importance of socio-environmental heritage for local communities as a strategic component that facilitates the rural economic dynamization of protected areas based on sustainability. This research contributes to understanding the relationship between socio-environmental heritage and the sustainability of protected areas, mediated by rural economic dynamization, highlighting the relevance of in situ conservation strategies and prospective planning of these territories to implement sustainability dynamics. It is concluded that rural economic dynamization acts as a significant mediator in the relationship between socio-environmental heritage and the sustainability of protected areas, emphasizing the need to integrate these dynamics into the management of natural resources and the promotion of sustainable development in rural communities.

Synchronising a stereoscopic surgical video stream using specular reflection.

A stereoscopic surgical video stream consists of left-right image pairs provided by a stereo endoscope. While the surgical display shows these image pairs synchronised, most capture cards cause de-synchronisation. This means that the paired left and right images may not correspond once used in downstream tasks such as stereo depth computation. The stereo synchronisation problem is to recover the corresponding left-right images. This is particularly challenging in the surgical setting, owing to the moist tissues, rapid camera motion, quasi-staticity and real-time processing requirement. Existing methods exploit image cues from the diffuse reflection component and are defeated by the above challenges. We propose to exploit the specular reflection. Specifically, we propose a powerful left-right comparison score (LRCS) using the specular highlights commonly occurring on moist tissues. We detect the highlights using a neural network, characterise them with invariant descriptors, match them, and use the number of matches to form the proposed LRCS. We perform evaluation against 147 existing LRCS in 44 challenging robotic partial nephrectomy and robotic-assisted hepatic resection video sequences with simulated and real de-synchronisation. The proposed LRCS outperforms, with an average and maximum offsets of 0.055 and 1 frames and 94.1±3.6% successfully synchronised frames. In contrast, the best existing LRCS achieves an average and maximum offsets of 0.3 and 3 frames and 81.2±6.4% successfully synchronised frames. The use of specular reflection brings a tremendous boost to the real-time surgical stereo synchronisation problem.

FORMATION OF STUDENTS’ READINESS FOR PROFESSIONAL ACTIVITY IN THE PROCESS OF PRACTICE ACCORDING TO THE PROFILE OF THE FUTURE

Team Actuality. Practice according to the profile of the future profession plays an exceptional role not only in instilling theoretical information, but also practical abilities and skills in the training of future sports coaches. The purpose of the research – to substantiate the theoretical foundations of the formation of the components of professional readiness of students in the process of practice according to the profile of the future profession. Research methods: general scientific – analysis, comparison, systematization, generalization of scientific and methodical literature, pedagogical testing; methods of mathematical statistics. 50 students of the specialty 017 "Physical culture and sports" of the National University of Physical Education and Sports of Ukraine took part in the testing. Research results and key conclusions. The modern view on formation of readiness of students' for professional activity in the course of practice according to the profile of the future profession. The structure of the coach’s readiness for future professional activity as a set of motivational, creative and reflective components is substantiated. Emphasis is placed on the fact that from today’s standpoint it is important to develop new approaches to the content and organization of industrial practice, which stimulate student activity to master professionally oriented knowledge, skills and abilities. It is shown that there is a need for theoretical justification of the form, content (diagnostic, organizational, communicative and motivational functions) and structure of production practice, as a necessary condition for the formation of readiness of future coaches for professional activity.

Multi-epoch X-ray spectral analysis of Centaurus A: Revealing new constraints on iron emission line origins

Abstract We conduct X-ray reverberation mapping and spectral analysis of the radio galaxy Centaurus A to uncover its central structure. We compare the light curve of the hard X-ray continuum from Swift Burst Alert Telescope observations with that of the Fe K$\alpha$ fluorescence line, derived from the Nuclear Spectroscopic Telescope Array (NuSTAR), Suzaku, XMM–Newton, and Swift X-ray Telescope observations. The analysis of the light curves suggests that a top-hat transfer function, commonly employed in reverberation mapping studies, is improbable. Instead, the relation between these light curves can be described by a transfer function featuring two components: one with a lag of $0.19_{- 0.02}^{+ 0.10} \,\, \mathrm{pc}/c$, and another originating at $r \\gt 1.7 \,\, \mathrm{pc}$ that produces an almost constant light curve. Further, we analyze the four-epoch NuSTAR and six-epoch Suzaku spectra, considering the time lag of the reflection component relative to the primary continuum. This spectral analysis supports that the reflecting material is Compton-thin, with $N_{\mathrm{H}} = 3.14_{-0.74}^{+0.44} \times 10^{23} \,\, \mathrm{cm}^{-2}$. These results suggest that the Fe K$\alpha$ emission may originate from Compton-thin circumnuclear material located at a sub-parsec scale, likely a dust torus, and materials at a greater distance.

The X-ray rise and fall of the symbiotic recurrent nova system T CrB

ABSTRACT We present the analysis of publicly available NuSTAR, Suzaku, and XMM–Newton observations of the symbiotic recurrent nova T CrB covering the 2006.77–2022.66 yr period. The X-ray spectra are analysed by adopting a model that includes a reflection component produced by the presence of a disc that mimics the accretion disc and the immediate surrounding medium. Our best-fitting model requires this disc to have a radius of 1 au, effective thickness of 0.1 au, averaged column density 10$^{25}$ cm$^{-2}$ and orientation of 50$^{\circ }$ with respect to the line of sight. This disc is about a factor of two larger than recent estimations for the accretion disc and its presence contributes significantly via reflection to the total X-ray flux detected from T CrB, which naturally produces the emission of the 6.4 keV Fe line. Our analysis suggests that the temperature of the boundary layer evolved from 14.8 keV in the steady-state phase (before 2016), to 2.8 keV in the 2017.24 epoch, to finally stabilize to about $\sim$8 keV in the subsequent epochs. These variations in the plasma temperature of the boundary layer are attributed to the evolution of the mass accretion rate ($\dot{M}_\mathrm{acc}$), which is estimated to have an averaged value of $\dot{M}_\mathrm{acc}$ = 2.6$\times \,10^{-8}$ M$_\odot$ yr$^{-1}$ for the current active phase. The presence of emission lines in the XMM–Newton Reflection Grating Spectrometer spectrum of 2017.24 prevents from adopting a blackbody emission model to fit the soft X-ray range. Instead, we use plasma emission models that suggest the presence of adiabatically shocked gas produced by gas velocities of 110–200 km s$^{-1}$, very likely tracing jet-like ejections similar to what is found in other symbiotic systems. The analysis of X-ray and optical data together show that T CrB has a similar evolution as black hole binaries, accreting neutron stars and active galactic nuclei in the hardness–intensity diagram.

Imaging sensor band comparison for situational awareness in wildfires

In recent decades, wildfires have become increasingly widespread and hazardous. Dryer, hotter weather combined with more frequent heat waves leave forest areas susceptible to sudden, intense, and fast-growing forest fires. To protect private property and mitigate the damage, Hotshot firefighters are deployed into these dangerous situations. Extensive satellite and aerial platforms possess optical techniques for monitoring wildfire risks and boundary tracking. Small unmanned aerial system (sUAS)-based EO/IR systems provide a solution for real-time, high resolution, targeted response to acquire information critical to the safety and efficacy of wildfire mitigation. Real-time imagery from a sUAS of the position of Hotshots and the progression of the fire boundary would be easily obtained and offer a method of ensuring safe deployment. An ideal sensor system for situational awareness in this environment would be able to image the ambient terrain and firefighters with good contrast while also detecting fire signatures and imaging through the smoke. Longer wavelength infrared bands have demonstrated imaging through the smoke of forest fires. However, near the wildfire where the Hotshots work, they also receive strong radiometric signals from the temperature of the smoke. The emitted signal of the smoke can obscure the line of sight similarly to the scattering effect of wildfire smoke in the visible spectrum. The reflective and emissive components of a wildfire scene are studied and compared in the visible (VIS, 0.4–0.7 µm), shortwave infrared (SWIR, 1.0–1.7 µm), extended SWIR (eSWIR, 2.0–2.5 µm), and longwave infrared (LWIR, 8–14 µm). Both a radiometric model and calibrated field measurements find a band that has the highest, to our knowledge, probability for a continuous line of sight for terrain, firefighters, and fire signatures in a wildfire scene.