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The rapid acquisition of soil water content (SWC) in field crop root zone is significant for drought supervision and precision irrigation. The UAV multispectral remote sensing system has the advantages of obtaining high spatial-temporal resolution of crop phenotype data, and has a wide application prospect in soil moisture monitoring. In order to obtain SWC accurately and timely at a farm scale, in this paper, the field maize with different water treatments is taken as the research object, and the multispectral remote sensing monitoring of summer maize is carried out by using the UAV remote sensing platform, and the soil water content of different soil depth in maize root zone is collected synchronously. Based on the UAV multispectral remote sensing image data sets of jointing stage, tasseling-silking stage and milky-maturity stage of summer maize in 2018, the soil background is removed by support vector machine classification, the spectral reflection of maize canopy is extracted, and the 10 vegetation indices are calculated, then the sensitivity analysis of soil water content in different depth is carried out by using full subset screening method for different wave bands and vegetation indices, and the soil water content in different depth is analyzed respectively, ridge regression and extreme learning machine are used to construct quantitative estimation models of soil water content at 0-20, 20-45 and 45-60 cm soil depth after full subset selection. The test area is located in Zhaojun Town, Dalate Banner, Ordos, Inner Mongolia, China(40°26'0.29" N, 109°36'25.99" E, elevation 1 010 m). The sowing time of maize is on May 11, 2018, the emergence time is on May 18, and the harvest time is on September 8, 2018. The total growth period is 114 days. The UAV multispectral remote sensing images and ground data collection dates are July 8, July 12, July 17, July 21, July 26, August 2, August 28 and September 7, 2018. It is collected once a day and tested 8 times in the whole growth period. July 8-21 is the jointing stage, July 26-August 2 is the tasseling-silking stage, August 28-september 7 is the milk-maturity stage. The flight altitude of the UAV is 70 m, and the flight time is 11:00-13:00 local time (11:44-13:44 Beijing time). Firstly, the UAV multispectral canopy images of field maize with 5 different irrigation treatments (TRTs) are acquired through the six-rotor UAV equipped with a RedEdge multispectral camera ( MicaSense, USA), and the multispectral images of diffuse reflector (reflectivity 58%, size 3×3 m) are collected at the same height to perform radiometric correction in the meantime, and then the spectral reflectances of the field maize are acquired. Secondly, the support vector machine (SVM) is used to eliminate the multispectral image of soil background in ENVI and ArcGIS software, then the maize canopy spectral reflectance is extracted and 10 vegetation indices (VIs), such as Normalized Difference Vegetation Index (NDVI), Normalized Green Difference Vegetation Index (GNDVI) and Transformed Chlorophyll Absorption In Reflectance Index(TCARI), etc, are calculated. Finally, the full subset selection method based on Bayesian Information Criterion (BIC) is used to analyze the sensitivity of SWC at different depths for different spectra bands and vegetation indices in R3.5.1 software, and then Ridge Regression (RR) as well as Extreme Learning Machine (ELM) are used to construct a quantitative estimation model of SWC at soil depths of 0-20, 20-45 and 45-60 cm at different growth stages, respectively. The results show that the full subset selection method based on BIC can effectively select the optimal spectral subset, and the selected variables generally pass the significance test and the independent variables number is small; the effects of the ELM model outperformed the RR model almost under all the same conditions; the optimal monitoring soil depth of maize at jointing stage, tasseling-silking stage is 0-20 cm, and the optimal monitoring soil depth of milk-maturity stage is 20-45 cm; the ELM inversion model at 20-45 cm soil depth at milk-maturity stage has the best effect, the decision coefficients of modeling set and verification set are 0.825 and 0.750, respectively, the root mean square error are 1.00% and 1.32%, respectively, and the normalized root mean square error are 10.85% and 13.55%, respectively. The combination of full subset selection method and machine learning can improve the inversion accuracy and robustness of SWC. This study provides a new way for rapid and accurate monitoring of SWC in farmland and precise irrigation. [ABSTRACT FROM AUTHOR]

Estimating soil salinity is imperative for scheduling irrigation and remediating saline soil but difficult at large scales. Remote sensing can bridge this gap because of its advantages in low cost and large-area coverage; it has become an efficient method for assessing soil salinization in field. One issue in use of remote sensing to assess saline soil is the presence of plastic film mulch and bare soil because of their difference in reflecting waves in the spectral bands. In order to investigate the effect of plastic film mulch on soil salinity inversion using UAV multispectral remote sensing, we studied four plots with plastic film mulch at the Shahaoqu Irrigation area in the Hetao Irrigation District, Inner Mongolia of China. From each plot, we took soil samples and measured their salt contents from May to July. We also flew a drone to simultaneously take multispectral images of the sampling sites and extracted the spectral reflectance to calculate the spectral indices. Correlation analysis found that the S4, S6, SI1, SI2, SI3 and BI indices can be used to calculate soil salinity. Six-band spectral reflectances and six spectral indices obtained from different datasets were used as independent variables to calculate the salt content with the support vector machine (SVM), the back propagation neural network (BPNN) and the extreme learning machine (ELM), respectively, before and after the mulch film was removed. We compared the three models based on their determination coefficient (R²), root mean squared error (RMSE) and relative error (RE). The results showed that plastic film mulch did impact on soil salinity inversion. Although all three models could adequately estimate the soil salt contents before and after the film removal, they worked better after the film removal than before the film removal. Models based on the spectral indices were more accurate than those based on the spectral reflectances, and the accuracy of the inversely calculated salt content varied with sampling time and treatment. The inversion results based on monthly data differed from those based on by pooling all data. After the film was removed in June, the salt content estimated using the model was most accurate, with its associated R² and RMSE being 0.695 and 0.182 respectively for the spectral reflectance-based method, and 0.663 and 0.191respectively for the spectral indices-based method. The salt content estimated by BPNN was least accurate in May, with its associated R² and RMSE being 0.766 and 0.161 respectively for the spectral reflectance-based method, and 0.769, 0.162 respectively for the spectral indices-based method. Comparison of the three models revealed that ELM was most accurate, followed by SVM and BPNN, although their errors were within the tolerable range. In summary, this paper provides an effective method to inversely calculate soil salinization at large mulched farmland using UAV multispectral remote sensing. [ABSTRACT FROM AUTHOR]

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Structure characteristic is a typical feature of the unsaturated undisturbed loess, which is an important key factor to affect its strength, deformation properties, and son on, and to distinguish the loess from other special soils. To understand the structure of loess, the key is to find the right way to study the structure. Computerized tomography (CT) technology can detect nondestructively the internal meso-structure in real time, so it is used to be a powerful means for loess structure research. However, it is few reports about the influence of structure on yielding features and the structural evolution characteristics of unsaturated loess during isotropic loading process. In this paper, we took the multifunctional geotechnical triaxial apparatus and the CT technology to research loess structure, and the hydrostatic triaxial compressure tests were carried out by using of 4 undisturbed loess samples whose control matric suction was a constant. When the value of volumetric deformation and water displacement of loess samples reached the expected criteria during loading process, we scanned nondestructively the 4 loess samples with the help of CT technology and got some CT scanning data and images. The structural evolution law of the undisturbed loess during isotropic loading procedure was described by means of the relationship between the macro-scopic mechanical index and the meso-scopic scanning data. In these studies, we found that the structure of undisturbed loess could resist the external load to a certain extent, but the influence of loess structure on yielding characteristic was closely related to matric suction. The CT number increased slowly before sample yielding, however, after sample yielding, the structural effect was reduced obviously and the CT number had a linear growth trend, which indicated that the loess sample entered into the plastic hardening stage. When the suction increased, the structure of undisturbed loess had little effect on the mechanical deformation. When the suction decreased, the water film lubrication between soil particles was obvious, so the effect of the structure fighting against the external load was enhanced obviously. After the net mean stress was applied, the voids and pores of loess samples would decrease, but they would not be closed completely, which was related to the formation of new structures that resisted external loads. According to the CT scanning data, the structural parameters and the structural damage variable were defined during isotropic loading tests, respectively, and then the evolution characteristics of the meso-structure of the undisturbed loess were clarified. In addition, we described accurately the relationships between the structural damage variables and the volumetric strain, and the change of the water phase of loess samples, respectively, and established the damage evolution equation of undisturbed loess structure during isotropic loading procedure. This new damage equation had the characteristics of one parameter and simple form, and could well reflect the influence of the change of solid and liquid phase on the structural damage. The validity of new equation was verified preliminarily by comparison of computation results and test data, which indicated very good agreement between each other. The research results in this paper will provide the reference for establishing the structural constitutive model of undisturbed loess and give a gateway to reasonably analyze loess structure. [ABSTRACT FROM AUTHOR]

The crack property of expansive soil is one of the important characteristics, which is different from other types of soils. The development of cracks greatly affects the engineering properties of expansive soils. In order to study the meso-structural characteristic of cracked expansive soil, the dry-wet cycle test, triaxial soaking test and isotropic loading test were carried out on the remolded expansive soil in scientific research station of Logistics Engineering University in Hanzhong city, Shanxi province, China. The data including volumetric strain and deviatoric strain were obtained by these tests. Using CT (computerized tomography), test samples were scanned nondestructively in real-time to obtain CT images. The whole evolving process of cracks in expansive soils was investigated under the action of water and external force from the microscopic view. The effect of the crack on the macro-meso deformation behavior of expansive soil was studied by the relationship between the micro data and macro physical parameters. Test results showed that, under unconstrained conditions of dry-wet cycles, the edges and the gathering holes area of expansive soil sample were easy to form crack. Volume shrinkage caused by dry-wet cycle of expansive soil had a stable asymptote line and would tend to a stable value. The volume change of the expansive soil had experienced 3 stages in triaxial soaking test with the water and external force. Firstly, in the initial stage of triaxial soaking test, expansive force caused by soaking water led to wetting expansive deformation of cracked expansive soil. Secondly, the softening effect appeared and the expansion force gradually decreased with the increase of water content, under the influence of confining pressure and deviatoric stress, the shearing shrinkage was followed. Thirdly, in the late period of soaking test, the shear failure of the specimen under the effect of deviatoric stress caused the phenomenon of slight dilation. Cracked expansive soil during isotropic loading process had obvious yield phenomenon, taking yield point as the cut-off point, the curve of scanning data and pore ratio with the load increases was divided into rapid and slow volume shrink period. The rapid volume shrinkable period was related to cracks and holes closure, and the slow volume shrinkable period was related to the formation of the new structure which had ability to resist the external load. From the CT-scanning images of triaxial soaking test and isotropic loading test, under the action of water and external load, the irregular cracks and holes were gradually evolved into a regular circular hole, and the circular hole tended to close. With only the action of the external force, the crack was more difficult to complete closure. The interaction of water and external force made the expansive soil crack closure effect better than that of only external loading. Therefore, water plays a key role in the effect of the crack' development of expansive soil. The results would provide valuble information for the further understanding of the influence of cracks on the mechanical properties of expansive soil. [ABSTRACT FROM AUTHOR]