干旱区生态环境知识资源中心(Arid): Effect of spring irrigation on soil salinity monitoring with UAV-borne multispectral sensor

Arid

DOI	10.1080/01431161.2021.1978579
	Effect of spring irrigation on soil salinity monitoring with UAV-borne multispectral sensor
	Yang, Ning; Yang, Shuai; Cui, Wenxuan; Zhang, Zhitao; Zhang, Junrui; Chen, Junying; Ma, Yu; Lao, Congcong; Song, Zhishuang; Chen, Yinwen
通讯作者	Zhang, ZT (corresponding author), Northwest A&f Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China.
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2021
英文摘要	Soil salinization is one of the main problems hindering the agricultural development in the arid and semi-arid regions. However, many previous studies of soil salinization monitoring failed to consider the impact of irrigation on soil salinity. To explore such impact, we used a UAV with a portable spectrometer to monitor the dynamic change of soil salinity before and after spring irrigation. In this study, 120 soil samples at the surface (0-10 cm) were taken in Shahaoqu Irrigation Area, Inner Mongolia, China, in mid-April (before spring irrigation) and mid-June (after spring irrigation), and the images of the four study zones A, B, C and D in this area were obtained from the UAV system. Based on these images, 25 spectral covariates (6 spectral bands, 16 spectral indices, and 3 two-dimensional indices) were calculated. Then, the sensitive spectral covariates were selected with such different variable selection methods as variable importance in projection (VIP), competitive adaptive reweighted sampling (CARS), and genetic algorithm (GA). Finally, Multiple Linear Regression (MLR) and BP neural network algorithm (BPNN) was used to establish models for soil salinity inversion, based on which salinity maps of the study area were plotted. The results showed that the soil salinity of the study zone A (covered with vegetation) increased while that of the other three zones decreased after the spring irrigation. The general tendency was: the higher the original soil salinity was, the more obvious decrease the soil salinity had after the irrigation. All the three variable selection methods improved the inversion model accuracy, but the GA-BPNN model had the best performance (R-P(2) = 0.78, RMSEP = 0.16, and RPD = 2.13 before spring irrigation; and R-P(2) = 0.80, RMSEP = 0.14, and RPD = 2.26 after spring irrigation). It indicated that relatively accurate regional salinity maps could be plotted based on the spectral indices selected by GA and the salinity inversion model built on BPNN. These results have certain reference for soil salinization monitoring and farmland irrigation using UAV multispectral remote sensing.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000698921400001
WOS关键词	VARIABLE SELECTION ; NIR SPECTROSCOPY ; NEURAL-NETWORK ; SODIC SOIL ; REGRESSION ; SALT ; MODELS ; PLS ; OPTIMIZATION ; INDICATORS
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
来源机构	西北农林科技大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363663
作者单位	[Yang, Ning; Yang, Shuai; Cui, Wenxuan; Zhang, Zhitao; Chen, Junying; Lao, Congcong] Northwest A&f Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China; [Yang, Ning; Yang, Shuai; Cui, Wenxuan; Zhang, Zhitao; Chen, Junying; Lao, Congcong] Northwest A&f Univ, Coll Water Resources & Architectural Engn, Yangling, Shaanxi, Peoples R China; [Zhang, Junrui] Yellow River Bur Kenli Cty, Kenli, Peoples R China; [Ma, Yu] Minist Water Resources, Water Resources Ctr, Yellow River Conservancy Commiss, Zhengzhou 450000, Peoples R China; [Song, Zhishuang] Northwest A&f Univ, Coll Mech & Elect Engn, Yangling, Shaanxi, Peoples R China; [Chen, Yinwen] Northwest A&f Univ, Dept Foreign Languages, Yangling, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Yang, Ning,Yang, Shuai,Cui, Wenxuan,et al. Effect of spring irrigation on soil salinity monitoring with UAV-borne multispectral sensor[J]. 西北农林科技大学,2021.
APA	Yang, Ning.,Yang, Shuai.,Cui, Wenxuan.,Zhang, Zhitao.,Zhang, Junrui.,...&Chen, Yinwen.(2021).Effect of spring irrigation on soil salinity monitoring with UAV-borne multispectral sensor.INTERNATIONAL JOURNAL OF REMOTE SENSING.
MLA	Yang, Ning,et al."Effect of spring irrigation on soil salinity monitoring with UAV-borne multispectral sensor".INTERNATIONAL JOURNAL OF REMOTE SENSING (2021).