This study aimed to develop a precise vegetation cover classification model for small streams using the combination of drone remote sensing and support vector machine (SVM) techniques. The chosen study area was the Idong stream, nestled within Geosan-gun, Chunbuk, South Korea. The initial stage involved image acquisition through a fixed-wing drone named ebee. This drone carried two sensors: the S.O.D.A visible camera for capturing detailed visuals and the Sequoia+ multispectral sensor for gathering rich spectral data. The survey meticulously captured the stream's features on August 18, 2023. Leveraging the multispectral images, a range of vegetation indices were calculated. These included the widely used normalized difference vegetation index (NDVI), the soil-adjusted vegetation index (SAVI) that factors in soil background, and the normalized difference water index (NDWI) for identifying water bodies. The third stage saw the development of an SVM model based on the calculated vegetation indices. The RBF kernel was chosen as the SVM algorithm, and optimal values for the cost (C) and gamma hyperparameters were determined. The results are as follows: (a) High-Resolution Imaging: The drone-based image acquisition delivered results, providing high-resolution images (1 cm/pixel) of the Idong stream. These detailed visuals effectively captured the stream's morphology, including its width, variations in the streambed, and the intricate vegetation cover patterns adorning the stream banks and bed. (b) Vegetation Insights through Indices: The calculated vegetation indices revealed distinct spatial patterns in vegetation cover and moisture content. NDVI emerged as the strongest indicator of vegetation cover, while SAVI and NDWI provided insights into moisture variations. (c) Accurate Classification with SVM: The SVM model, fueled by the combination of NDVI, SAVI, and NDWI, achieved an outstanding accuracy of 0.903, which was calculated based on the confusion matrix. This performance translated to precise classification of vegetation, soil, and water within the stream area. The study's findings demonstrate the effectiveness of drone remote sensing and SVM techniques in developing accurate vegetation cover classification models for small streams. These models hold immense potential for various applications, including stream monitoring, informed management practices, and effective stream restoration efforts. By incorporating images and additional details about the specific drone and sensors technology, we can gain a deeper understanding of small streams and develop effective strategies for stream protection and management.
Journal of The Korean Society of Agricultural Engineers
/
v.60
no.2
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pp.75-84
/
2018
Thermal stress of livestock has been issued due to recent climate change trends and this causes reproductive disorders, decreased feed consumption, immunosuppression, and increased mortality of animals. Concept of THI has been widely used to quantitatively evaluate the degree of thermal stress for animals, however use of this concept is restricted for animals living in the enclosed facilities such as mechanically ventilated broiler houses. In this study, time-based internal energy flow and variation trends of temperature and humidity were analyzed based on BES technique. Local weather data, insulation characteristics of building materials, heat and moisture generation rate from broilers according to age, algorithm of ventilation operation were adopted for boundary condition of the model to accurately compute THI values inside the mechanically ventilated broiler house. From the BES computation, excess frequency of THI threshold in Jeju city was highest on the assumption that air conditioning equipments were not installed. When general raising density ($39kg\;m^{-2}$) was adopted, total 2,191 hours were exceeded. Excess hours of THI threshold were strongly related to the cumulative air temperature ($R^2=0.87$).
Objectives: Rural housewives are integral to household management and family care, yet their sedentary lifestyles present significant health risks. This study used the transtheoretical model (TTM) to investigate strategies that encourage and maintain regular exercise habits among rural housewives. Methods: A semi-experimental study was conducted in 2021 with 114 housewives aged 30 to 59 who attended rural health centers in Gorgan, Iran. Participants were randomly assigned to 1 of 2 groups. Data collection involved a validated questionnaire that gathered demographic information and constructs of the TTM. The intervention group participated in a comprehensive educational program, which included four 60-minute sessions. Data were collected again 6 months post-intervention and analyzed using descriptive and inferential statistics in SPSS version 21. Results: The study encompassed women with an average age of 39.75±6.05 years, the majority of whom had educational levels below a diploma, and over 90% were married. We observed strong correlations between the processes of change, self-efficacy, and decisional balance. At the outset, there were no significant differences in demographics or model structures between the 2 groups. However, 6 months post-intervention, the intervention group exhibited statistically significant differences in the mean scores of model structures, stages of change, and body mass index (p<0.05). Conclusions: This study highlights the importance of physical activity training for rural housewives. The findings suggest that the educational intervention, which utilized the TTM, significantly impacted the participants' model structures and their stages of change.
This study analyzed the distribution of forest income and other variable sources of rural household income and considered their importance for the reduction of income inequality and poverty. We employed Gini decomposition to measure the contribution of forest income and other sources of income to income equality and assess whether they were inequality-increasing or inequality-decreasing in the 14 villages. The forest income Gini correlation with total income was very high, $R_k=0.6960$, and the forest income share of total rural household income was 35% ($S_k=0.3570$). If the income earned from forest activities was removed, the Gini index would increase by 10.3%. Thus, if people could not access forest resources because of vast deforestation, perhaps from the limitations of government-managed forestry, unplanned clearing of forest land for agriculture or the granting of ELCs, there would be an increase in income inequality and poverty among rural households. The findings suggest that policy makers should look beyond agriculture for rural development, as forest resources provide meaningful subsistence income and perhaps contribute to both preventing and reducing poverty and inequality in rural communities. The study found that non-farm activities were inequality-increasing sources of income. The share of non-farm income to the total rural household income was $S_k=0.1290$ and the Gini index of non-farm income was very high, $G_k=0.8780$, compared with forest and farm income. This disagrees with other studies which have reported that non-farm income was inequality-decreasing for the rural poor.
This research The main focus of this research is to provide basic data for concrete recreation planning of future site by selecting Gwangmyeong-Siheung housing district, large residential development district focused on rural areas, by evaluation of recreation value and detailed biotope type classification. The main results of analysis are as follows. As a result of basic survey of the research area, total 79 family and 307 taxonomic groups are identified and also naturalization index and urbanization index were estimated 16.6 % and 17.6% respectively. Also, as a result of biotope type classification, it is divide into 12 biotope type gorups including forest biotope type group and its subordinate 53 biotop types. As a result of first value evaluation, there are total 13 biotope types such as vegetation-full artificial rivers in I grade. In addition it is analyzed as 9 types of II grade, 5 types of III grade, 8 types of IV grade, 18 types of V grade. Lastly, as a result of second evauation, it is analyzed that there are 21 special meaningful areas for recreation and natural experience(1a, 1b), and 50 meaningful areas for recreation and natural experience(2a, 2b, 2c). It is regarded that the results of biotope types classification and recreation value from this research play roles of analyzing the Suitable site for recreation area before development in terms of large residential development district, and then these results provide important basic data to secure recreational and natural experience area in development planning.
Kim, Byung-Seok;Park, Kyung-Hun;Park, Yoen-Ki;Joeng, Mi-Hye;You, Are-Sun;Yang, Yu-Jung;Choi, Ju-Byun;Kwon, Ok-Kyung;Ahn, Young-Joon
The Korean Journal of Pesticide Science
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v.12
no.1
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pp.57-66
/
2008
The purpose of this study was to establish biomonitoring method for the assessment of the health of fish species in agricultural reservoirs polluted from various environmental contaminants. The ichthyofauna and fish community were investigated in the AsanHo and NamyangHo from September to November 2007. We measured abundance, size distribution, biomass, the number of fish with external and internal lesions, organosomatic index of the fishes collected in the AsanHo and NamyangHo. Dominant species were Lepomis macrochirus, Carassius auratus and the highest biomass were found in Cyprinus carpio, Carassius auratus in the AsanHo and NamyangHo, respectively. The composition of age in the population of Carassius auratus in the AsanHo and NamyangHo was stabled by size distribution analysis. The sex ratio of Carassius auratus were 1:0.36, 1:0.52 as female: male ratio in AsanHo and NamyangHo, respectively. The GSI of were 4.30, 1.69 of female and 1.45, 1.70 of male in AsanHo and NamyangHo, respectively. Most carp were 10-70 cm long in the AsanHo and 20-50 cm in the NamyangHo. The sex ratio of Cyprinus carpio were 1:0.42, 1:0.59 as female: male ratio in AsanHo and NamyangHo, respectively. The GSI of were 0.16, 3.46 of female and 0.93, 2.37 of male in AsanHo and NamyangHo, respectively. Of the 227 fish examined, 1.8% had some type of external lesion in AsanHo and 10% in NamyangHo. Overall, HAI scores ranged from 10-60 and HAI scores of AsanHo relatively lower than that of NamyangHo.
The purpose of this study was to examine the relationship between parenting stress, social support and the social development of preschool children in rural areas. The subject included 114 preschool children, along with their mothers, selected from kindergartens and day care centers in rural areas. The instruments included the parenting stress index, social support inventory and the social maturity scale. The statistics used from this data were t-test, one-way ANOYA(Scheffe test), correlation analysis and multiple regression analysis. This study showed that maternal parenting stress was influenced significantly by the related variables; gender of child, birth order of child, age of mother, educational attainment of mother, family income, religion, family type. And also, social support was influenced significantly by the above variables. The child's social development was influenced significantly by the variables that related child and the family. Correlation analysis indicated that parenting stress and social development of the child were relatively negative high correlation coefficients. And social support and social development of the child were relatively positive high correlation coefficients. The important factors on predicting social development of the child were found to be birth order of child, age of mother, educational attainment of mother, family income, religion, family type, daily stress, stress of difficult child, stress of parent-child dysfunctional interaction, educational distress, husband support, and other support. Especially stress of difficult child and husband support were important variables that predicted the social development of the preschool children.
This study was performed to estimate forest canopy density (FCD) using airborne hyperspectral data acquired in the Independence Hall of Korea in central Korea. The airborne hyperspectral data were obtained with 36 narrow spectrum ranges of visible (Red, Green, and Blue) and near infrared spectrum (NIR) scope. The FCD mapping model developed by the International Tropical Timber Organization (ITTO) uses vegetation index (VI), bare soil index (BI), shadow index (SI), and temperature index (TI) for estimating FCD. Vegetation density (VD) was calculated through the integration of VI and BI, and scaled shadow index (SSI) was extracted from SI after the detection of black soil by TI. Finally, the FCD was estimated with VD and SSI. For the estimation of FCD in this study, VI and SI were extracted from hyperspectral data. But BI and TI were not available from hyperspectral data. Hyperspectral data makes the numerous combination of each band for calculating VI and SI. Therefore, the principal component analysis (PCA) was performed to find which band combinations are explanatory. This study showed that forest canopy density can be efficiently estimated with the help of airborne hyperspectral data. Our result showed that most forest area had 60 ~ 80% canopy density. On the other hand, there was little area of 10 ~ 20% canopy density forest.
In this paper, we propose the use of hierarchical classification for winter crop mapping based on satellite imagery. A hierarchical classification is a classifier that maps input data into defined subsumptive output categories. This classification method can reduce mixed pixel effects and improve classification performance. The methodology are illustrated focus on winter cropsin Gimje city, Jeonbuk with Landsat-8 imagery. First, agriculture fields were extracted from Landsat-8 imagery using Smart Farm Map. And then winter crop fields were extracted from agriculture fields using temporal Normalized Difference Vegetation Index (NDVI). Finally, winter crop fields were then classified into wheat, barley, IRG, whole crop barley and mixed crop fields using signature from Unmanned Aerial Vehicle (UAV). The results indicate that hierarchical classifier could effectively identify winter crop fields with an overall classification accuracy of 98.99%. Thus, it is expected that the proposed classification method would be effectively used for crop mapping.
This study was carried out to investigate varietal differences on growth characteristics under the conditions of PE film-mulching and non-mulching in sesame. At maturing stage from 76 to 95 days after sowing, Yangbaeckkae, non-branching plant type, under non-mulching showed larger leaf area index (LAI) than that of film-mulching, while plant height and the number of capsules per plant were similar to those of film-mulching. LAI of Ahnsankkae, branching plant type, under non-mulching was similar to film-mulching, while plant height and the number of capsules per plant were smaller than those of film-mulching. Net assimilation rate (NAR) of two varieties under non-mulching was lower at seedling stage from 25 to 35 days after sowing but higher at flowering stage from 45 to 55 days after sowing. At maturing stage from 66 to 77 days after sowing, NAR and crop growth rate (CGR) of Yangbaeckkae under non-mulching were greater than those of film-mulching, whereas those of Ahnsankkae under non-mulching were lesser than those of film-mulching. Yield under non-mulching was decreased by 7 % in Yangbaeckkae and 33 % in Ahnsankkae compared with that of film-mulching, therefore Yangbaeckkae was more adaptable for non-mulching than Ahnsankkae. Main factors decreasing yield of Yangbaeckkae under non-mulching were small LAI, NAR, and CGR at the stage of young seedling, and small number of capsules at early maturing stage from first flowering to 20 days after first flowering.
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