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Northwest A&F University (2021)

Research on UAV Multispectral Remote Sensing Model for Estimating Soil Salt Content

杨宁

Titre : Research on UAV Multispectral Remote Sensing Model for Estimating Soil Salt Content

Auteur : 杨宁

Grade : Master 2021

Université : Northwest A&F University

Résumé partiel
Soil salinization is the main problem restricting irrigated agriculture in arid and semi-arid regions.Timely and accurate acquisition the information of soil salt content(SSC)is of great significance to prevent and control soil salinization and construct the sustainable irrigated agriculture.UAV multispectral remote sensing can obtain the spectral information of soil and crop on a farm scale quickly and accurately,reflect its spectral characteristics,and provide a strong guarantee for estimation of SSC and monitoring its dynamic changes.Therefore,four typical plots with different salinization degrees in Shahaoqu irrigation area of Hetao Irrigation District were selected as the study areas in this paper.We collected sampling points at topsoil(0~10cm)before and after spring irrigation and points at different depths(0~10cm,10~20cm,20~40cm)in the month with crop covering.Simultaneously acquired UAV multispectral remote sensing images in these periods,extracted spectral reflectivity of six bands and calculated various spectral indices.Next,we analyzed the correlation between spectral variables(spectral reflectance of six bands and calculated spectral indices)and SSC in different periods,and used three spectral variable selection methods to screen out sensitive spectral variables.Then,we constructed different SSC estimation models with various modeling methods,evaluated the model accuracy by multifarious precision evaluation indicators,obtained the best SSC estimation models in each period after comparing,and then drawn the soil salinity maps of study area in different periods based on these best models.

Mots clés : UAV ;multispectral remote sensing ;soil salt content ;spectral index ;machine learning ;

Présentation (CNKI) **********************************

Page publiée le 19 mars 2022