首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于GEE平台的1990—2019年松涛水库水体面积时空变化
引用本文:陆天启,邵长高,任旭光,马洪波,王陆一.基于GEE平台的1990—2019年松涛水库水体面积时空变化[J].科学技术与工程,2021,21(27):11472-11479.
作者姓名:陆天启  邵长高  任旭光  马洪波  王陆一
作者单位:广州海洋地质调查局自然资源部海底矿产资源重点实验室;吉林省气象台
摘    要:为了准确掌握松涛水库水体面积动态变化,保证区域用水安全,实现水资源的可持续利用,通过选用Landsat系列遥感数据,利用GEE(Google Earth Engine)云平台研究了1990—2019年松涛水库水体面积的时空变化。结果表明:1990—2019年间,松涛水库水体面积的年际变化波动较大,整体呈先下降后上升的趋势,而水体面积的月际变化表现出显著的季节性变化规律;研究期间,松涛水库拥有66.43 km~2的永久性水体,出现水陆交替现象的区域主要集中在水库的边缘区域;月降水量、月平均温度分别与松涛水库水体面积表现出显著的负相关关系,而在年际尺度上气候因素与水体面积无明显的相关性,但随着年降水量的增加,水库下一年度的水体面积明显增大。可见GEE云平台可用于连续时间序列、大范围的水体动态变化监测。

关 键 词:水体面积  松涛水库  时空变化  遥感  Google  Earth  Engine  气候因素
收稿时间:2021/3/16 0:00:00
修稿时间:2021/7/7 0:00:00

Spatio-temporal Changes of Water Area in Songtao Reservoir from 1990 to 2019 Based on Google Earth Engine
Lu Tianqi,Shao Changgao,Ren Xuguang,Ma Hongbo,Wang Luyi.Spatio-temporal Changes of Water Area in Songtao Reservoir from 1990 to 2019 Based on Google Earth Engine[J].Science Technology and Engineering,2021,21(27):11472-11479.
Authors:Lu Tianqi  Shao Changgao  Ren Xuguang  Ma Hongbo  Wang Luyi
Institution:Key Laboratory of Marine Mineral Resources of Ministry of Natural Resources, Guangzhou Marine Geological Survey
Abstract:In order to accurately grasp the dynamic change of the water area of Songtao Reservoir and ensure the safety of regional water use and realize the sustainable utilization of water resources, the spatio-temporal changes of Songtao Reservoir from 1990 to 2019 was studied by using the Google Earth Engine (GEE) cloud platform through selecting Landsat series remote sensing data. The results show that the annual variation of water area in Songtao Reservoir fluctuates greatly from 1990 to 2019, which shows an overall trend of first decrease and then increase, while the monthly variation of water area shows a significant seasonal variation rule. Songtao Reservoir has 66.43 km2 of permanent water during the study period, and the regions with alternations between land and water are mainly concentrated at the edge of the reservoir. Monthly rainfall and average temperature are significantly negatively correlated with the water area of Songtao Reservoir respectively, while climate factors have no obvious correlation with the water area of Songtao reservoir at the interannual scale. However, with the increase of annual rainfall, the water area of Songtao Reservoir in the next year increases significantly. It is concluded that GEE can be used for continuous time series and large range of water dynamic change monitoring.
Keywords:water area  Songtao Reservoir  spatial-temporal changes  remote sensing  Google Earth Engine  climatic factors
本文献已被 CNKI 等数据库收录!
点击此处可从《科学技术与工程》浏览原始摘要信息
点击此处可从《科学技术与工程》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号