Inversion of soil salinity according to different salinization grades using multi-source remote sensing

被引：27

作者：

Wang, Danyang ^{[1
]}

Chen, Hongyan ^{[1
]}

Wang, Zhuoran ^{[1
]}

Ma, Ying ^{[1
]}

机构：

[1] Shandong Agr Univ, Coll Resources & Environm, Natl Engn Lab Efficient Utilizat Soil & Fertilize, Tai An, Shandong, Peoples R China

来源：

GEOCARTO INTERNATIONAL | 2022年 / 37卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Different salinization grades; unmanned aerial vehicle; multi-spectra; Sentinel-2A; soil salinity; YELLOW-RIVER DELTA; MODIS TIME-SERIES; REFLECTANCE SPECTROSCOPY; MOISTURE-CONTENT; CHINA; SALT; PREDICTION; SATELLITE; OVEREXPRESSION; IRRIGATION;

D O I：

10.1080/10106049.2020.1778104

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Soil salt information from unified soil salinity content (SSC) inversion models based on all samples is insufficient for accurate regional SSC monitoring. Here, a method of building SSC inversion models for different salinization grades is proposed, combined with unmanned aerial vehicle (UAV) and Sentinel-2A images. According to different salinization grades, three groups of samples (mild (M), medium-severe (S), and whole (W)) were obtained. Their SSC spectra characteristics, parameters, and quantitative inversion models were analysed, constructed, and compared, based on UAV images, and substituted into different salinization grade areas in Sentinel-2A. The UAV-based models for M and S outperformed those for W; the same trend occurred after substituted into Sentinel-2A images. The inversion results were closer to the field survey results. Models for different salinization grades achieved better regional inversion than those of the whole. UAV-based SSC models can be applied to satellite imagery to invert regional SSC.

引用

页码：1274 / 1293

页数：20

共 56 条

[1] Improving classification accuracy of spectrally similar land covers in the rangeland and plateau areas with a combination of WorldView-2 and UAV images [J].

Akar, A. ;

Gokalp, E. ;

Akar, O. ;

Yilmaz, V. .

GEOCARTO INTERNATIONAL, 2017, 32 (09) :990-1003

[2] The Rotation Forest algorithm and object-based classification method for land use mapping through UAV images [J].

Akar, Ozlem .

GEOCARTO INTERNATIONAL, 2018, 33 (05) :538-553

[3]

[Anonymous], 2018, COMPUTER APPL SOFTWA

[4]

Ardak Kelimu Ardak Kelimu, 2015, Transactions of the Chinese Society of Agricultural Engineering, V31, P115

[5] Nutrients Assimilation and Chlorophyll Contents for Different Grapevine Varieties in Calcareous Soils in the Somontano DO (Spain) [J].

Casanova-Gascon, Jose ;

Martin-Ramos, Pablo ;

Marti-Dalmau, Clara ;

Badia-Villas, David .

BEVERAGES, 2018, 4 (04)

[6] Monitoring the seasonal dynamics of soil salinization in the Yellow River delta of China using Landsat data [J].

Chen, Hongyan ;

Zhao, Gengxing ;

Li, Yuhuan ;

Wang, Danyang ;

Ma, Ying .

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2019, 19 (07) :1499-1508

[7]

Chen HongYan Chen HongYan, 2015, Transactions of the Chinese Society of Agricultural Engineering, V31, P107

[8] Approximation numbers of Sobolev and Gevrey type embeddings on the sphere and on the ball-Preasymptotics, asymptotics, and tractability [J].

Chen, Jia ;

Wang, Heping .

JOURNAL OF COMPLEXITY, 2019, 50 :1-24

[9]

Chen Shun-Xi, 2018, Zhen Ci Yan Jiu, V43, P39, DOI 10.13702/j.1000-0607.170049

[10]

Chen Zhen Chen Zhen, 2012, Transactions of the Chinese Society of Agricultural Engineering, V28, P76

← 1 2 3 4 5 6 →