摘要
以里下河中部地区湖泊群为研究范围,选择研究区内2017—2020年间由遥感监测发现的人类活动变化点数据,基于网络核密度估计的方法识别研究区内人类活动现象的高发区域、高发河段。结果表明,变化点的分布与变化点的类型、周边养殖业发展程度、土地类型有关。此外,网络核密度估计方法在应用于河网内部热点识别时,其结果比平面核密度估计更符合实际情况。
In this study,the lakes in the middle part of the Lixiahe River were selected as the research area,and the data of human activity change points detected by remote sensing monitoring during 2017 and 2020 were selected in the study area.Based on the network kernel density estimation method,the areas and river sections with high incidence of human activity phenomena in the study area were identified.The results showed that the distribution of change point was related to the type of change point,the development degree of surrounding aquaculture and land type.In addition,when the network kernel density estimation method is applied to the hot spot identification in river network,the results are more consistent with the actual situation than the plane kernel density estimation.
作者
宋瑞平
王冬梅
刘文壮
SONG Ruiping;WANG Dongmei;LIU Wenzhuang(Jiangsu Hydraulic Research Institute,Nanjing 210017,China)
出处
《江苏水利》
2022年第2期65-68,共4页
Jiangsu Water Resources
关键词
平面核密度估计
网络核密度估计
遥感监测
里下河腹部地区
湖泊湖荡
plane kernel density estimation
network kernel density estimation
remote sensing monitoring
belly area of Lixia River
lake
