CyFi predictions in Funil Reservoir in 2023
收藏doi.org2025-03-23 收录
下载链接:
http://doi.org/10.17632/sp367z97n2.1
下载链接
链接失效反馈官方服务:
资源简介:
This dataset was derived from readings obtained using the open-source software CyFi, which utilizes satellite imagery and machine learning to estimate cyanobacterial cell density in the Funil Reservoir, located in the state of Rio de Janeiro, Brazil. The research hypothesis is to determine whether cyanobacterial cell counts estimated by the software align with results from previous studies conducted at this site, as well as to compare the outcomes with satellite imagery of the same region during the same period.
Notably, statistical analyses (GAM) of this dataset reveal that cyanobacterial cell concentrations are higher in the southwestern areas of the reservoir, corresponding to the inflow region. Additionally, cell concentration varies across different times of the year, reflecting temporal fluctuations in cyanobacterial density.
本数据集源于采用开源软件 CyFi 获得的阅读资料,该软件通过卫星图像与机器学习技术对位于巴西里约热内卢州的 Funil 水库中的蓝藻细胞密度进行估算。研究假设旨在验证软件估算的蓝藻细胞计数是否与该地点先前研究的结果相吻合,并进一步将所得结果与同一时期该区域的卫星图像进行对比。值得注意的是,对该数据集进行的统计分析(广义加性模型)显示,水库的西南部区域蓝藻细胞浓度较高,这一区域对应于入库区域。此外,细胞浓度在不同季节间存在差异,反映了蓝藻密度随时间的变化。
提供机构:
doi.org



