灾害学Issue(1)：96-101,6.DOI:10.3969/j.issn.1000-811X.2016.01.020
基于 MODIS 时间序列数据的洞庭湖区洪水淹没频率研究
Research of Flood Submerged Frequency in Dongting Lake Region Based on Time Series Dataset of MODIS
摘要
Abstract
We explore the variation of surface water area from 2000 to 2015 in Dongting Lake region with time series dataset which is build by 8-Day Surface Reflectance-250m (MOD13Q1 )and 16-Day Vegetation Indices-250m (MOD09Q1)of Terra /MODIS.By means of remote sensing information extraction,we get 169 phases’dis-tribution data of surface water area and analyze the submerged frequency and variation regulation.The results show that:①It is feasible to extract long time series information by remote sensing technique and Python programming language.②The surface water area in Dongting Lake region presents obvious seasonal change,the area is relatively large in June to September,small in December to April.In the last 15 years,the Dongting Lake is in a shrinking trend.③The permanent land or water body take nearly 76.4% of the total area,the rest 23.6% is fluctuating re-gion of land and water body and key areas of flood prevention and control.④In the last 15 years,the water drop time advanced within a year,days of bottomland exposure increased,water resources of low water period was obvi-ously decreased.关键词
Terra -MODIS 数据/洞庭湖区/水域/面积变化/淹没频率Key words
Terra-MODIS data/Dongting Lake region/waters/area variation/submerged frequency分类
资源环境引用本文复制引用
许超,蒋卫国,万立冬,王文杰,白雪..基于 MODIS 时间序列数据的洞庭湖区洪水淹没频率研究[J].灾害学,2016,(1):96-101,6.基金项目
国家自然科学基金（41171318）；中央高校基本科研业务费专项资金；国家重大科技专项 （）
