Radar remote sensing-based inversion model of soil salt content at different depths under vegetation

PeerJ

article

Yinwen Chen¹  Yuyan Du²  Haoyuan Yin³  Huiyun Wang³  Haiying Chen¹  Xianwen Li³  Zhitao Zhang³  Junying Chen³ 

[1] College of Language and Culture, Northwest A&F University;Gansu Water Conservancy & Hydro Power Survey & Design Research Institute;College of Water Resources and Architectural Engineering, Northwest A&F University;Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University

关键词: vegetation coverage;    Soil salt content;    Radar remote sensing;    Soil at different depths;    Best subset selection;    Support vector machine;   

DOI  :  10.7717/peerj.13306

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

PLSR; and (d) among the seven sampling depths, 10–20 cm was the optimal inversion depth for all the four models, followed by 20–40 and 0–40 cm. Among the four models, SVM was higher in accuracy than the other three at 10–20 cm (RP2 = 0.67, RMSEP = 0.12%). These findings can provide valuable guidance for soil salinity monitoring and agricultural production in the arid or semi-arid areas under vegetation.

【 授权许可】

CC BY