지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
To analyze temporal and spatial changes in vegetation, it is necessary to determine the associated continuous distribution and conduct growth observations using time series data. For this purpose, the normalized difference vegetation index, which is calculated from optical images, is employed. However, acquiring images under cloud cover and rainfall conditions is challenging; therefore, time series data may often be unavailable. To address this issue, La et al. (2015) developed a multilinear simulation method to generate missing images on the target date using the obtained images. This method was applied to a small simulation area, and it employed a simple analysis of variables with lower constraints on the simulation conditions (where the environmental characteristics at the moment of image capture are considered as the variables). In contrast, the present study employs variables that reflect the growth characteristics of vegetation in a greater simulation area, and the results are compared with those of the existing simulation method. By applying the accumulated temperature, the average coefficient of determination (R²) and RMSE (Root Mean-Squared Error) increased and decreased by 0.0850 and 0.0249, respectively. Moreover, when data were unavailable for the same season, R² and RMSE increased and decreased by 0.2421 and 0.1289, respectively.
목차
Abstract
1. Introduction
2. Methodology
3. Simulation and Results
4. Conclusion
References
참고문헌 (23)
참고문헌 신청
Arnon, D.I., Allen, M.B., and Whatley, F.R. (1956), Photosynthesis by isolated chloroplasts IV. General concept and comparison of three photochemical reactions, Biochimica et Biophysica Acta-General Subjects, 20, pp.449-461.
Boussetta, S., Balsamo, G., Beljaars, A., Kral, T., and Jarlan, L. (2013), Impact of a satellite-derived leaf area index monthly climatology in a global numerical weather prediction model, International journal of remote sensing, 34(9-10), pp.3520-3542.
Breiman, L. (2001), Random forests, Machine learning, 45(1), pp.5-32.
Corenblit, D. and Steiger, J. (2009), Vegetation as a major conductor of geomorphic changes on the Earth surface: toward evolutionary geomorphology, Earth Surface Processes and Landforms, 34(6), pp.891-896.
Fenner, M. (1998), The phenology of growth and reproduction in plants, Perspectives in Plant Ecology, Evolution and Systematics, 1(1), pp.78-91.
Boussetta, S., Balsamo, G., Beljaars, A., Kral, T., and Jarlan, L. (2013), Impact of a satellite-derived leaf area index monthly climatology in a global numerical weather prediction model, International journal of remote sensing, 34(9-10), pp.3520-3542.
Breiman, L. (2001), Random forests, Machine learning, 45(1), pp.5-32.
Corenblit, D. and Steiger, J. (2009), Vegetation as a major conductor of geomorphic changes on the Earth surface: toward evolutionary geomorphology, Earth Surface Processes and Landforms, 34(6), pp.891-896.
Fenner, M. (1998), The phenology of growth and reproduction in plants, Perspectives in Plant Ecology, Evolution and Systematics, 1(1), pp.78-91.
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UCI(KEPA) : I410-ECN-0101-2020-533-000586705