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Hefei University of Technology (合肥工业大学) 2021

Dynamic Monitoring of Drought in Shandong Province based on Remote Sensing and Spatial Statistical Analysis

葛鲁亮

Titre : Dynamic Monitoring of Drought in Shandong Province based on Remote Sensing and Spatial Statistical Analysis

Auteur : 葛鲁亮

Grade : Master 2021

Université : Hefei University of Technology (合肥工业大学)

Résumé partiel
As a large agricultural province,Shandong Province is an important grain production base in China.It has the characteristics of large inter annual variation of precipitation,uneven distribution within the year and frequent drought.Drought disasters caused by water shortage not only affect agricultural production,but also restrict the development of social economy.The accurate dynamic monitoring of regional drought can realize the reasonable allocation of water resources and reduce the agricultural losses caused by drought disasters.There are some defects in the way of monitoring drought based on surface meteorological stations,such as small coverage and few stations,and the sparse and uneven measurement network caused by the high uncertainty and spatial variability of precipitation will often affect the precipitation.Therefore,the traditional drought monitoring is not enough for high-quality real-time dynamic drought monitoring in large area.The birth of satellite remote sensing drought monitoring makes up for the limitations of traditional drought monitoring methods,and a large number of applications have proved the reliability of remote sensing data.Therefore,in view of the poor spatial accuracy of drought monitoring,it is difficult to achieve real-time dynamic drought monitoring.In this paper,taking Shandong Province as the research area,using remote sensing data and meteorological data as data support,taking regional division,Vegetation Drought Stress and abnormal precipitation reduction response lag research as theoretical support,the remote sensing comprehensive drought index based on ordered weighted average method is established,The research idea of drought monitoring and evaluation is to combine remote sensing data with meteorological data,divide the heterogeneous space of drought region based on drought and terrain factors,apply cross spectrum analysis method to explore the lag response time of Vegetation Drought Stress and precipitation anomaly,and construct remote sensing ordered weighted average drought index based on ordered weighted average method,To realize the dynamic monitoring and evaluation of agricultural drought in Shandong Province

Mots clés : Remote sensing data ;Drought index ;Dynamic drought monitoring ;Arid zones ;the lag time ;OWA-IDI ;Shandong Province ;

Présentation (CNKI)

Page publiée le 16 mars 2022