Can subsurface soil salinity be predicted from surface spectral information? – From the perspective of structural equation modelling

Liu, Ya; Pan, Xinfu; Wang, Changkun; Li, Yanli; Shi, Rongjie

doi:10.1016/j.biosystemseng.2016.06.008

Cited by 19 publications

(3 citation statements)

References 47 publications

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“…Pinheiro et al (2016) aiming assessing the effects of salt stress in melon seeds, observed reductions on germination particularly from the osmotic potential of -0.2 MPa. However, Liu et al (2016) affirms the sodic salts have migration capacity and are concentrated primarily in the soil surface, generating higher resistance and acting as a physical barrier which may lead to a weak establishment of seedling emergence (even those germinated). The reduction in the soil osmotic potential by the excess of salts is another important factor connected to the seedling emergence, since it jeopardizes the water absorption by the seeds and reduces the use of reserves for the embryo growth and stretching of the young tissues (Wahid et al, 2011).…”

Section: Emergence Of Melon Under Soil Salinitymentioning

confidence: 98%

Emergence and vegetative development of melon in function of the soil salinity

et al. 2019

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Soil salinity is one of the main factors limiting the development and global agricultural productivity. Melon (Cucumis melo L.) is mainly produced in arid and semi-arid regions around the world, favoring the accumulation of soluble salts in the soil. Therefore, this study aimed to evaluate the emergence and vegetative development of melon genotype under different levels of soil salinity. The assessments were performed based on the exchangeable sodium percentage (ESP) at 0, 20, 25, 30 and 35%. The emergence was affected around 30 percentage points, by comparing the control and the highest dose (35%). The emergence speed and the emergence speed index parameters were also affected in a similar way, as well as the length and dry matter of the shoot. The growth of the plants was also affected by the saline stress, being superior in the control (0%) in relation to the treatments with NaCl. The leaf area increased between weeks 4 and 7 after the planting and was slightly superior in the control in relation to the plants submitted to saline stress (20, 25, 30 and 35% of exchangeable sodium). The melon is more sensible to the saline stress in the seedling emergence than in the vegetative development over time. The development of melon seedlings is mainly affected in exchangeable sodium values superior to 20%. The analyzed hybrid is sensible to the saline stress even in 20% of exchangeable sodium.

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Section: Emergence Of Melon Under Soil Salinitymentioning

confidence: 98%

Emergence and vegetative development of melon in function of the soil salinity

et al. 2019

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“…The pre-processed remote sensing image data were rich in spectral information about the various features, which was contained in the reflectance of the different wavelength bands in the remote sensing data [28,29]. Since the spectral information contained in a single band is very limited, after extracting the spectral reflectance data from each band of a remote sensing image, a combination operation can be performed between the different bands to obtain more and richer information [30][31][32][33]. Since salinized soils have stronger spectral reflectance in the near-infrared band and visible band than other types of soils, multiple salinity indices composed of reflectance information in different wavelength bands based on remote sensing data can directly monitor different levels of soil salinity [34].…”

Section: Spectral Index Calculation and Normalizationmentioning

confidence: 99%

Remote Sensing Monitoring of Soil Salinity in Weigan River–Kuqa River Delta Oasis Based on Two-Dimensional Feature Space

Tashpolat

2023

Water

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Soil salinization is a serious resource and ecological problem globally. The Weigan River–Kuqa River Delta Oasis is a key region in the arid and semi-arid regions of China with prominent soil salinization. The saline soils in the oasis are widely distributed over a large area, causing great harm to agricultural development and the environment. Remote sensing monitoring can provide a reference method for the management of regional salinization. We extracted the spectral indices and performed a correlation analysis using soil measurement data and Sentinel-2 remote sensing data. Then, two-dimensional feature space inversion models for soil salinity were constructed based on the preferred spectral indices, namely, the canopy response salinity index (CRSI), composite spectral response index (COSRI), normalized difference water index (NDWI), and green atmospherically resistant vegetation index (GARI). The soil salinity in a typical saline zone in the Weigan River–Kuqa River Delta Oasis was monitored and analyzed. We found that the inversion of the CRSI-COSRI model was optimal (R2 of 0.669), followed by the CRSI-NDWI (0.656) and CRSI-GARI (0.604) models. Therefore, a model based on the CRSI-COSRI feature space can effectively extract the soil salinization information for the study area. This is of great significance to understanding the salinization situation in the Weigan River–Kuqa River Delta Oasis, enriching salinization remote sensing monitoring methods, and solving the soil salinization problem in China.

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“…For example, Beaumelle (2016) determined the bioavailability of soil cadmium, lead, and zinc by the unmeasured variable reflected by several observed variables. Liu (2016) examined the relationship between two latent variables of "spec", which was explained by the observed variables of spectral reflectance, and "attrib", which was made up of soil salt and moisture in the surface and subsurface soil.…”

Section: Introductionmentioning

confidence: 99%

Relative influence of soil chemistry and topography on soil available micronutrients by structural equation modeling

Zhu¹,

Zhao²,

Feng³

et al. 2016

J. Soil Sci. Plant Nutr.

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Soil chemical and topographic properties are two important factors influencing available micronutrient distribution of soil in the horizontal dimension. The objective of this study was to explore the relative influence of soil chemistry (including soil pH, soil organic matter, total nitrogen, available phosphorus, and available potassium) and topography (including elevation, slope, aspect, and wetness index) on the availability of micronutrients (Fe, Mn, Cu, Zn, and B) using structural equation modeling (SEM) at the watershed scale. To do this, levels of soil micronutrients, pH, soil organic matter, total nitrogen, available phosphorus, available potassium, and topographic factors were measured at 523 sampling points of Fanshi County on the Chinese Loess Plateau, and the spatial distribution of soil available micronutrients were analyzed by geostatistical method. The results showed that topography had both direct effects and indirect effect on some soil micronutrients, while the indirect effect indicated effects from topography on soil chemistry and then further on micronutrient concentration. Soil chemistry had direct effects on levels of all soil micronutrients, and topography had direct effects on levels of all micronutrients except for Cu and B, and indirect effects on Fe, Zn, and B. The direct effect of soil chemistry on Fe levels was greater than the total effects (including both direct and indirect) of topography. Topography had a stronger direct effect on Mn than soil chemistry, and topography had less direct but stronger total effects on Zn than soil chemistry. Soil chemistry directly influenced both Cu and B, but topography only influenced B in an indirect manner. The semivariance indicated that the micronutrients had moderate spatial dependency except for B which had weak spatial dependency. Within the spatial distribution of the micronutrients, there was a zone in the middle of the watershed with lower values than in the northern and southern areas for Fe, Mn, Zn, and B, which were related to the characteristics of topography and soil chemistry. These results may guide the management of soil micronutrients of the Chinese Loess Plateau and other similar regions in the world.

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Can subsurface soil salinity be predicted from surface spectral information? – From the perspective of structural equation modelling

Cited by 19 publications

References 47 publications

Emergence and vegetative development of melon in function of the soil salinity

Emergence and vegetative development of melon in function of the soil salinity

Remote Sensing Monitoring of Soil Salinity in Weigan River–Kuqa River Delta Oasis Based on Two-Dimensional Feature Space

Relative influence of soil chemistry and topography on soil available micronutrients by structural equation modeling

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