Dynamic estimation of water hyacinth area using fusion of satellite and GPS sensors

2nd International Conference on Materials Science, Energy Technology and Environmental Engineering

材料科学;能源学;生态环境科学

Sun, Ling^1 ; Zhu, Zesheng^2

JiangSu Academy of Agricultural Sciences, Nanjing

210014, China^1

Naval Command College, Nanjing

210016, China^2

关键词: Area growths;    Complete control;    Dynamic estimation;    Goodness-of-fit indices;    Harvesting waters;    Multi-sensor fusion techniques;    Statistic analysis;    Water Hyacinth;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/81/1/012203/pdf
DOI  :  10.1088/1755-1315/81/1/012203

来源: IOP

【 摘 要 】

The interaction of water hyacinth area with growth is known to be strongly influenced by area size, but little is known about the interdependent role that size and time have on dynamic estimation of water hyacinth area. We report on the fusion of satellite and GPS sensor data into area growth model as a function of area and time. We employ a multi-sensor fusion technique that is able to generate uniform data of fitting area growth model with complete control of area and time. Evidence of an overall Goodness of Fit Index of 0.9753 was obtained by using conventional statistic analysis. These findings suggest that the multi-sensor fusion technique readily supports area growth model development with highly resolution. The differential equation is good at describing the spatial spread of water hyacinth. Moreover, it was found that area growth model enjoy an appreciable advantage when it comes to harvesting water hyacinth.