Environmental Survey Research Articles

A time series analysis of aquaculture milkfish production volume using the Box-Jenkins SARIMA Model: A case study from Davao Oriental, Philippines

Milkfish farming has been historically practiced in the Philippines for a long time and is a significant source of income and livelihood for fish farmers in the country. In this paper, the researchers analyzed the aquaculture milkfish production volume in Davao Oriental from 1996 to 2023 using Seasonal Auto-Regressive Integrated Moving Average (SARIMA). The SARIMA model was used to forecast milkfish production future values, which provided insights into the aquaculture sector's potential development in the province. The autocorrelation, partial autocorrelation, and stationarity tests indicate that milkfish production from 1996 to 2023 was not stationary. Thus, seasonal differencing was used to achieve stationarity. Several models were developed and diagnosed, and SARIMA (2,0,2) (1,1,1) 4 provided satisfactory accuracy and precision in forecasting. However, the forecast showed some fluctuations or uncertainty in the predicted milkfish production. This can be reasoned out to be due to other environmental factors such as typhoons, rain, diseases or abnormally high sea surface temperature from climate change impacts. An actual environmental and socio-demographic survey is needed to explore further whether environmental factors are indeed affecting the production of milkfish in Davao Oriental, and therefore confirming the fluctuations of production.

Association between mixed exposure to per- and polyfluoroalkyl substances and metabolic syndrome in Korean adults: Data from the Korean National environmental health survey cycle 4

AimTo explore the effect of mixed exposure to per- and polyfluoroalkyl substances (PFAS) on metabolic syndrome (MetS). MethodsThis cross-sectional study used data from the Korean National Environmental Health Survey Cycle 4 (2018–2020). The serum concentrations of five PFAS (perfluorooctanoic acid [PFOA], perfluorooctanesulfonic acid [PFOS], perfluorohexanesulfonic acid, perfluorononanoic acid [PFNA], and perfluorodecanoic acid [PFDeA]) were measured, and the relative potency factor approach was employed for the mixture of PFAS (Cmix) assessment. MetS was diagnosed if the patient satisfied three of five criteria: central obesity, elevated triglycerides, reduced high-density lipoprotein cholesterol, elevated blood pressure (BP), and elevated glycated hemoglobin (HbA1c). Age, sex, smoking, drinking, and exercise status were considered as covariates. The risk of MetS for single and mixed exposure to PFAS was analyzed using binomial regression and Bayesian kernel machine regression (BKMR). ResultsA total of 2984 (male:female = 1:1.3; age range, 19–80 years) adults were enrolled. The prevalence of MetS was 45.6%. Each PFAS and Cmix levels were higher in participants with MetS than in those without MetS. Cmix increased the risk of elevated BP and HbA1c, and eventually MetS (odds ratio [OR] = 2.00, 95% confidence interval [CI] 1.11–3.60 per log10Cmix; OR = 1.57, 95% CI 1.07–2.31 in the highest quartile of Cmix [Q4] vs. the lowest [Q1]). Sex-specific analyses revealed that the impact of Cmix was valid in females but not in males (Cmix Q4 vs. Q1: OR = 1.01, 95% CI 0.57–1.8 in males; OR = 2.30, 95% CI 1.38–3.84 in females). In the BKMR analysis, mixed exposure to PFAS dose-dependently increased the risk of MetS, particularly in females. Among single exposures, PFNA contributed significantly to the cumulative effect. ConclusionMixed exposure to PFAS was associated with a higher risk of MetS in females. Further studies on potential health concerns associated with PFAS mixtures are warranted.

Aviation noise in the United States: The current state of FAA research on community response

While today's civilian aircraft fleet is quieter than at any time in the history of jet-powered flight, the Federal Aviation Administration (FAA) continues to receive complaints about aircraft noise affecting communities across the United States. Additionally, the FAA's Neighborhood Environmental Survey (NES) has shown that community response to aviation noise in the United States has changed and the dose-response relationship between noise and annoyance such as the one represented by the Shultz Curve is no longer representative of communities' lived experiences. This paper will examine the current aviation noise environment in the United States and how the nature of aviation noise and the characteristics of communities that raise significant noise concerns in the United States have changed since the start of widespread use of commercial jet-powered aircraft in the 1960s. This paper will also explore the changing nature of community response to aviation noise based on the FAA's latest research findings on aviation noise and annoyance as detailed in follow-on analyses to the NES.

Realizing a 21st Century Noise Policy

Aviation noise impacts affect the health and quality of life of communities nationwide. The FAA's noise policy, last updated in the 1970s, uses a single decision-making metric (DNL), to determine the significance of noise impacts caused by aircraft operations. The Neighborhood Environmental Survey (NES), released in 2021, shows that many more people are impacted by aircraft noise and at levels far below 65 dB DNL than previously thought. The current noise policy does not reflect the 21st century airspace environment, including the consequences of NextGen and the tremendous growth in air traffic. An important improvement to realize an up-to-date noise policy is to reflect the lived experience of impacted communities more accurately. This paper will cover how communities experience aircraft noise in two separate noise exposure environments both near and away from airports, which practices are issues and most concerning to communities, what metrics more accurately evaluate impacts, and how a more community-centric approach provides a better representation of the aviation noise experienced by people, which is fundamental to operating a National Airspace System that works for all.

Phylogenetic and phenotypic characterization of Burkholderia pseudomallei isolates from Ghana reveals a novel sequence type and common phenotypes.

Melioidosis is a potentially severe disease caused by the gram-negative soil-dwelling bacterium called Burkholderia pseudomallei. The true breadth of the distribution of this tropical pathogen is starting to emerge with environmental and clinical isolates frequently characterized in new countries and regions. Even so, isolates, clinical cases, and genetic data from the continent of Africa remain scant. We previously confirmed the presence of B. pseudomallei in the environment of Ghana, unmasking a new area of endemicity for this pathogen. Here, we describe the genetic characteristics of isolates obtained from that environmental survey. Twenty-one isolates were subjected to whole genome sequencing and found to represent three discrete sequence types (ST), one of which was novel, and designated ST2058. Phylogenetic analysis places this novel isolate within a B. pseudomallei clade that includes genomes derived from the Americas, although it is closely related to a sub-clade that includes isolates from Africa. Importantly, phenotypic characterization demonstrates common features including API 20NE profiles and B. pseudomallei CPS to support existing diagnostics, and susceptibility to standard of care antibiotics often used in the clinical management of melioidosis. These findings add to our knowledge about the presence and distribution of B. pseudomallei in Africa and represent the first published genomes out of Ghana.

The local phytoplankton community in Shizugawa Bay, Japan, from 2021 to 2022: analysis by DNA metabarcoding

ABSTRACT This study was conducted in Shizugawa Bay, located on the north-eastern coast of Japan, to determine phytoplankton assemblages. Metabarcoding with the PsbA gene and environmental surveys were conducted from May 2021 to January 2022. PCA results showed that phytoplankton assemblages changed with the environmental parameters, such as water temperature and salinity, indicating a clear seasonal pattern. The relative abundance was dominated by Chlorophyta (annual mean 34.9%) > Bacillariophyta (29.1%) > Haptophyta (17.8%) > Dinophyceae (11.7%). It is suggested that many species of Chlorophyta remain without being filtered by shellfish because the dominant representatives were pico-prasinophytes, which are of small size and are difficult for shellfish to capture. Bacillariophytes are thought to have been consumed preferentially since they are known to be a good food source for adult shellfish. Among Dinophyceae, Dinophysis spp. (causing diarrheal poisoning) were dominant throughout the period, while Alexandrium spp. (causing paralytic poisoning) showed relatively low abundance. Phaeocystis spp. (including some toxic species) were the dominant haptophytes. Cyanobacteria tended to appear particularly in summer although their mean relative abundance was less than 3%. Although the data are limited, they provide a useful snapshot of phytoplankton assemblages in Shizugawa Bay and the environmental factors that affect them.

Do Retailers Compete Against Informal Firms? A Comparison of the Periods of the Global Crisis and Post-Crisis

This study investigates the transformation of competitive dynamics between formal sector retailers and their informal sector counterparts in Eastern European and Central Asian countries after the 2008-2009 global financial crisis. The absence of extensive government bailouts in these regions intensified the economic repercussions of the crisis. This study used data from the BEEPS II and BEEPS IV (i.e. Business Environment and Enterprise Performance Survey) surveys conducted by the European Bank for Reconstruction and Development and the World Bank with a focus on informal competition in Eastern Europe and Central Asia based on data from owners or top-managers of companies working in this region. To investigate the impact of the global crisis on informal competition for retailers, survey results in 2008 (“crisis period”) were compared with the data in 2013 (“post-crisis period”). Non-parametric tests, specifically the Mann-Whitney-Wilcoxon tests, were used to compare the 2008 and 2013 results. Binary logistic regressions were used to identify factors influencing the perception of competition from the informal sector (Pearson correlation coefficients and assessed Variance Inflation Factors to detect multicollinearity issues). Findings reveal a significant shift post-crisis shift with a reduced proportion of formal sector retailers competing with informal firms. Notably, this effect is statistically insignificant for retailers with sole proprietorships and partnerships and those with internationally recognized quality certifications. Moreover, research highlights a diminished perception of informal competitors as substantial hindrances to retailers’ business operations post-crisis. However, this observation is not statistically significant for retail businesses structured as partnerships. Logistic regression indicates that smaller firms, firms led by a more experienced top manager, and firms with a female top manager are more prone to perceive competition from the informal sector. Furthermore, this study delves into the factors shaping retailers’ perceptions across post-Soviet and other transition countries, revealing differences in the impact of firm size and female ownership. This nuanced investigation contributes depth to the current literature concerning the interconnections between formal and informal retail sectors. It offers a comparative analysis focusing on post-Soviet states and other transitioning nations in Eastern Europe and Central Asia.

The Influence of Minimum Competency Assessment, Character Survey, and Learning Environment Survey on the Quality of Islamic Junior High School Athirah Bone.

This study discusses the Effect of Minimum Competency Assessment, Character Survey, and Learning Environment Survey on the Quality of Islamic Junior High School Athirah Bone. This research is a field research and this type of research is quantitative with a descriptive approach. The population in this study were all students at Islamic Junior High School Athirah Bone which amounted to 201 people, thus, the number of samples in this study was 45 people. The techniques used in data collection by means of questionnaires and documentation. The results showed that there was a significant effect simultaneously (together) between the minimum competency assessment, character survey, and learning environment survey on the quality of Islamic Junior High School Athirah Bone. The average minimum competency assessment is 28.16 with a standard deviation of 5.966, the average character survey is 70.24 with a standard deviation of 8.781, and the average learning environment survey is 46.27 with a standard deviation of 6.051.

Achieving spatial balance in environmental surveys under constant inclusion probabilities or inclusion density functions

AbstractIn environmental and ecological surveys, well spread samples can be easily obtained via widely adopted tessellation schemes, which yield equal first‐order inclusion probabilities in the case of finite populations of areas or constant inclusion density functions in the case of continuous populations. In the literature, many alternative schemes that are explicitly tailored to select well spread samples have been proposed, but owing to their complexity, their use should be preferred only if they allow us to achieve a valuable gain in precision with respect to the tessellation schemes. Therefore, by means of an extensive simulation study, the performances of tessellation schemes and several specifically tailored schemes are compared under constant first‐order inclusion probabilities or constant inclusion density functions.

Enhancing metabarcoding of freshwater biotic communities: A new online tool for primer selection and exploring data from 14 primer pairs

AbstractFreshwater ecosystems are complex, diverse, and face multiple imminent threats that have led to changes in both structure and function. It is urgent that we develop and standardize monitoring tools that allow for rapid and comprehensive assessment of freshwater communities to understand their changing dynamics and inform conservation. Environmental DNA surveys offer a means to inventory and monitor aquatic diversity, yet most studies focus on one or a few taxonomic groups because of technical challenges. In this study, we (1) create an eDNA metabarcoding dataset (natural water bodies) with 14 validated primer pairs; (2) create a free online, user‐friendly tool for primer selection that can be used for any metabarcoding data (SNIPe); and (3) using SNIPe, explore our dataset to derive subsets of informative, cost‐effective primer pairs that maximize detection of freshwater diversity. We first evaluated the completeness of public reference sequence databases and the efficiency of 14 primer pairs in silico, in vitro on five mock communities (mix of DNA from tissues of select taxa), in vivo on water samples from aquarium samples with known taxonomic composition, and finally in vivo on water samples from freshwater systems in Eastern Canada. Results from analyses using SNIPe revealed that 13 or 14 primer pairs are necessary to recover 100% of the species in water samples (natural systems), but that four primer pairs are sufficient to recover almost 75% of taxa with little overlap. Our work highlights the power of eDNA metabarcoding for reconstructing freshwater communities, including prey, parasite, pathogen, invasive, and declining species. It also emphasizes the importance of marker choice on species resolution, and primer characteristics and filtering parameters on detection success and accuracy of biodiversity estimates. Together, these results highlight the usefulness of eDNA for freshwater monitoring and should prompt more studies of tools to survey all communities.

Workplace Well-Being and Classroom Space: An Exploratory Survey of K–12 Music Teachers

Abstract Kindergarten through 12th-grade (K–12) music teachers spend much of their professional lives occupying physical workspaces like classrooms and offices. Given that teachers occupy these spaces for extended periods of time, the impact of these spaces on teacher well-being should be considered. This exploratory survey study examined the relationships between K–12 music teachers’ workplace well-being and perceptions of the physical classroom spaces. A questionnaire was completed by 484 music teachers who were members of the National Association for Music Education. The questionnaire included the Workplace PERMA Profiler (a measure of workplace well-being) and the Structural, Physical, and Campus Environment Survey (a measure of teachers’ perceptions of their classrooms). Higher levels of well-being were positively correlated with favorable perceptions of classroom space. Scale and aesthetics, the visual environment, and spatial environment elements were the strongest predictors of well-being. Taking statistical and textual data together, specific features including windows, good natural light, quality and controllable lighting, aesthetically pleasant (e.g., decorations and colors) rooms, ample space and storage, comfortable temperatures, good organization, and control over the classroom space had the largest positive impact on well-being among the participating teachers.

Risk Factors Associated with an Influenza B Outbreak due to Inefficient Screening in a Prison in Thailand

On 3 Oct 2019, the Office of Disease Prevention and Control Region 12 Songkhla received notification of a suspected influenzacluster in a prison in Songkhla Province, Thailand. In cooperation with the local public health teams, we investigated the event to confirm the diagnosis, identify the source of infection, and implement control measures. A suspected influenza case was defined as an individual with fever and at least one of the following symptoms: cough, sore throat, runny nose, or dyspnea. Aconfirmed case was a suspected case who tested positive to influenza by the reverse transcription polymerase chain reaction technique. An environmental survey was conducted to assess risk behaviors and determine the occupancy rate. A case-control study was performed to identify associated factors of developing influenza. We identified 128 suspected cases, of which seven were confirmed to have type B influenza. All were male and their median (interquartile range) age was 29 years (24–35). The overall attack rate was5.2%. The first case developed symptoms in the new prisoner zone and moved to another zone without undergoing respiratory screening. The analytical study revealed that sleeping within one meter of a confirmed case (adjusted odds ratio (AOR) 1.77, 1.07–2.92), and sharing drinking glasses with others (AOR 1.83, 1.18–2.82)were significant risk factors. The overcrowded prison (165% occupancy) led to limited availability of vaccines, causing 83.5% of prisoners to be unvaccinated. Strict screening of new prisoners before moving to another area and early isolation of symptomatic prisoners are recommended.

Assessing the performance of short 18S rDNA markers for environmental DNA metabarcoding of marine protists

AbstractMarine protists are globally distributed and sensitive to environmental conditions, which makes them a focal group when studying the effects of climate change on biodiversity and ocean health. However, they are a highly diverse group with varying evolutionary histories and morphologies and widely variable preservation potential in the fossil record. Thus, their past diversity and composition are poorly known. Paleogenetics, which relies, among other approaches, on DNA metabarcoding of sedimentary ancient DNA (sedaDNA), provides a promising avenue to explore the past history and responses of marine protists to global change. Choosing the right marker for sedaDNA studies is critical, striking a balance between marker length and taxonomic resolution. While marker guides exist for modern environmental DNA surveys, a thorough assessment of existing short markers for sedaDNA studies targeting protists is lacking. In this study, we report on a comparison of in silico PCR for eight short 18S rDNA markers, including one from the Tara Oceans initiative and a longer marker commonly used in modern marine eDNA studies. We analyze their taxonomic coverage and resolution, taxonomic overlap and uniqueness between markers, co‐amplification of non‐protist taxa, and amplicon size differences across taxonomic groups. Additionally, we provide a detailed analysis of diatoms, dinoflagellates, haptophytes, and chlorophytes. Our study is aimed at supporting project‐specific marker choices for characterizing protist composition and diversity. While we focus on marine protists, our results are applicable to other aquatic and terrestrial environments.

노벨엔지니어링(Novel Engineering) 기반 생태환경교육 프로그램이 초등학생의 환경역량 및 인공지능 활용 태도 함양에 미치는 영향

The purpose of this study is to develop a Novel Engineering-based practical and subject-centered ecological environment convergence education program (20 sessions) and apply it to 25 6th grade students to conduct a survey on environmental competency and awareness of artificial intelligence education before and after class to determine what kind of results. The purpose is to see if there is a change. The results of the study showed that the Novel Engineering-based ecological environment education program had a positive impact on the development of elementary school students' environmental capabilities and their awareness of artificial intelligence education. The results of the environmental competency survey showed significant differences in all areas of reflection and insight, use of environmental information, creative problem solving, environmental sensitivity, communication and conflict resolution, and environmental community competency, and positive attitudes toward thoughts and career paths toward artificial intelligence technology. It is significant that environmental education can be applied in the regular curriculum and that a convergence program containing not only engineering and digital elements, but also humanities and arts elements has been developed to foster the basic language and digital skills emphasized in the 2022 revised curriculum. Based on this study, there is a need to construct a variety of Novel Engineering-based ecological environment education programs for all elementary school students in the future. In addition, follow-up research on a diverse Novel Engineering-based ecological environment education program that combines digital and artificial intelligence elements will be necessary through analysis of various subjects in the ecological environment.

Characteristics of Exposure to High-Risk Substances in the Electronics Industry Using the Work Environment Survey and Work Environment Measurement Database (2018~2022) in South Korea -Dichloromethane, Trichloromethane, and Tetramethylammonium Hydroxide-

Characteristics of Exposure to High-Risk Substances in the Electronics Industry Using the Work Environment Survey and Work Environment Measurement Database (2018~2022) in South Korea -Dichloromethane, Trichloromethane, and Tetramethylammonium Hydroxide-

Delineating leachate-groundwater interaction at Gyadi-Gyadi dumpsite, Kano, using natural electromagnetic (EM) field detector and Vertical Electrical Sounding (VES)

Geophysical investigations are mostly used for hydrogeological studies, mining, geotechnical investigation and environmental surveys. Geophysical investigation of groundwater within the dumpsite is highly critical because the extent of interaction between leachate plume/contaminated zone and aquifer zones could significantly reduce groundwater quality. The textural complexity and clay content of soils could change their electrical properties, thus reflecting inconsistent resistivity values using the resistivity method. This research investigates the extent of leachate infiltration from waste dumpsite into groundwater at Gyadi-Gyadi Kano State, using natural Electromagnetic (EM) field and Vertical Electrical Sounding (VES) methods. Six natural EM profiles were obtained in various locations within the study area using PQWT-TC 150 model. Six VES data points were occupied along the EM profile lines using SAS 1000 ABEM resistivity meter. The two techniques employed revealed some intercalations of low resistivity (conductive) as well as very low electrical potential differences in the study area. The low resistivity media are mixtures of leachates into groundwater units, thereby creating formations from the surface to a depth of about 40 m. The first and second layers have experience leachate-aquifer interaction in the northern, southern and eastern parts of the study area to about 40 m depth, and the leachate-aquifer interaction has extended to the deep aquifer of about 70 m depth at the western part. Shallow aquifer has not been infiltrated by leachate at about >100 m away from the waste dumpsite. Therefore, for potable groundwater exploitation in this area, it is advised that boreholes should be sited >100 m away from the dumpsite, where leachate-aquifer interaction has attenuated. The natural EM field detector is evidently constrained by issues of over-generalization and summation of potential values, probably due to its relatively low resolution. Hence it might not be capable of precisely delineating varying geological units. In contrast, the resistivity method is able to delineate and discretize the subsurface into sub-units of different resistive zones. This implies that VES is better suited for accurately defining the true subsurface geology, while the NEF detector is effective for determining the extent of a leachate plume.

A geospatial analysis of local intermediate snail host distributions provides insight into schistosomiasis risk within under-sampled areas of southern Lake Malawi

BackgroundAlong the southern shoreline of Lake Malawi, the incidence of schistosomiasis is increasing with snails of the genera Bulinus and Biomphalaria transmitting urogenital and intestinal schistosomiasis, respectively. Since the underlying distribution of snails is partially known, often being focal, developing pragmatic spatial models that interpolate snail information across under-sampled regions is required to understand and assess current and future risk of schistosomiasis.MethodsA secondary geospatial analysis of recently collected malacological and environmental survey data was undertaken. Using a Bayesian Poisson latent Gaussian process model, abundance data were fitted for Bulinus and Biomphalaria. Interpolating the abundance of snails along the shoreline (given their relative distance along the shoreline) was achieved by smoothing, using extracted environmental rainfall, land surface temperature (LST), evapotranspiration, normalised difference vegetation index (NDVI) and soil type covariate data for all predicted locations. Our adopted model used a combination of two-dimensional (2D) and one dimensional (1D) mapping.ResultsA significant association between normalised difference vegetation index (NDVI) and abundance of Bulinus spp. was detected (log risk ratio − 0.83, 95% CrI − 1.57, − 0.09). A qualitatively similar association was found between NDVI and Biomphalaria sp. but was not statistically significant (log risk ratio − 1.42, 95% CrI − 3.09, 0.10). Analyses of all other environmental data were considered non-significant.ConclusionsThe spatial range in which interpolation of snail distributions is possible appears < 10km owing to fine-scale biotic and abiotic heterogeneities. The forthcoming challenge is to refine geospatial sampling frameworks with future opportunities to map schistosomiasis within actual or predicted snail distributions. In so doing, this would better reveal local environmental transmission possibilities.Graphical

Environmental Scanning Model in Health System and Implementation Steps: A Scoping Review

Background: Various studies have highlighted the usefulness of environmental scanning in assessing community needs and developing programs and policies. We aimed to find the most practical model of using such scanning in the healthcare literature. Methods: We conducted a scoping review based on the PRISMA guideline to ensure a comprehensive and systematic approach in 2023. To develop a comprehensive search strategy, we worked with experienced librarians and the research team. We then completed a search of five electronic databases, including Web of Science, PubMed, Scopus, Cochrane, and Embase databases. Two independent reviewers screened titles, abstracts, and full-text articles to select studies that met our inclusion criteria. The data was then analyzed and presented in a tabular format to facilitate easy interpretation and understanding. Results: We retrieved 7243 articles from various databases and sources. After removing 2755 articles due to duplication, we excluded 4380 more articles during the title and abstract screening phase. In the full-text review process, we ruled out an additional 103 articles. Finally, only 5 articles that were directly relevant to the study were included. The model that Bednar and colleagues have in their article is the latest model. Most studies propose six main steps to conduct an environmental survey in the healthcare system. Conclusion: Since the most important task of managers and policy makers of the health system is to make decisions, they can use our proposed model to collect, analyze and interpret data, identify important patterns and trends so that they can make evidence-based decisions.

The mixed effects of innovation strategies and bribery on firm performance: A Re-investigation via institutional quality

While a large body of literature has explored the impacts of bribery on firm performance, particularly in terms of innovation outcomes, a significant gap exists in understanding the effects of innovation strategies on firms’ performance as well as the influence of institutional quality on the interaction between innovation strategies and bribery. This paper empirically addresses this gap by investigating the complex effects of bribing and two distinct innovation strategies—independent innovation and spillover innovation. Using global firm-level evidence from the latest Business Environment and Enterprise Performance Survey, we employ three semiparametric methods to estimate productivity as proxy of firms’ performance. Our results show that independent innovation exerts sanding influences on productivity, while spillover innovation and bribery grease the wheels of firm performance. Moreover, bribery and spillover innovation mutually amplify each other's positive effects on firm performance. Further examinations indicate that the impacts of innovation strategies and bribing are significantly moderated by institutional quality. Under poor institutional quality with excessive government control or corruption, the positive influence of spillover innovation and bribing tends to be strengthened. Conversely, good institutional quality mitigates the greasing effects of spillover innovation and bribery. Through multiple robustness tests employing alternative methodologies, firm performance metrics, and institutional quality measures, these findings are consistently confirmed.

AstrobeeCD: Change detection in microgravity with free-flying robots

This work presents AstrobeeCD, a system for 3D scene change detection toward near-real-time environmental awareness of space outposts using the Astrobee free-flying robot in microgravity. Assistive free-flyer robots autonomously caring for future crewed space habitats must be able to detect day-to-day interior changes to track inventory, detect and diagnose faults, and monitor the outpost status. A set of image and depth data from one time step is used to reconstruct a 3D model of the environment. The 3D model is used as the basis for comparison for free-flyer environment surveys at future time steps, where an image-based change detection algorithm identifies inconsistencies against the 3D model. Change detection is demonstrated using real image and pose data collected by an Astrobee robot in a test environment on Earth at NASA Ames Research Center and from microgravity aboard the International Space Station. Change detection computation time and performance are quantitatively evaluated on the test data captured on Earth, and it identifies scene changes more quickly than a point cloud clustering-based algorithm applied to data from the same surveys.