THE METHOD FOR INCREASING ACCURACY OF DETERMINING SOIL STRUCTURAL COMPONENTS USING REMOTE SENSING METHODS
https://doi.org/10.25587/SVFU.2021.21.1.002
Abstract
It is well known that the structural components of soil significantly effect on the Earth reflection property and highly predefine the optical-physical characteristics of bare part of continents upon remote sensing of the Earth. Besides, the structural composition of soil particles affects the erosion characteristics of soil and is closely correlated with soils carbon content and predetermins the soil layer texture. During the held researche, the known regression interrelation between amount of organic compounds and soil silt and clay content was used. The similar interrelation between amount of organic compounds and the soil sand content was used. The importance and significance of structural parameter for research of physical-chemical properties of soil in zones of agricultural activity is noted. The comparative characteristics of spectral methods for remote determination of soil structural composition is given. The possibility for utilization of hyper-spectral methods of remote sensing for determining soil structural composition is of high importance. Hyper-spectral methods for determining soil structural composition are developed using related hardware installed at the board of aerial vehicles. The modified method for hyper-spectral analysis of soil structure is suggested. It is shown that the known hyper-spectral method for determining soil structural composition upon non-accounting ofatmospheric aerosol effect factually become non-operational. As a result, modification of this method is highly required. Realization of suggested modified method for hyper-spectral determination of soil structural composition make it possible to remove the aerosol error of the known method which approximately equals to 12 %.
References
1. Olaniya M., Bora P. K., Das S., Chau P. H. Soil erodibility indices under different land uses in Ri - Bhoi district of Meghalaya (India) // Scientific Reports. - 2020. - Vol. 10:14968. https://doi.org/10.1038/s41598-020-720170-y .
2. Augustin C., Cihacek L.I. Relationship between soil carbon and soil texture in the Northern Great Plains // Soil Science. - 2016. - Vol. 181. - No. 8. - P. 386-392.
3. Dematte J., Guimaraes C.C.B., Fongaro C.T., Vidoy Elf., Sayao V.M., Dotto A.C., Santos N.V. Satellite spectral data on the quantification of soil particle size from different geographic size from different geographic regions // Rev. Bras. Cienc. Solo. - 2018. - Vol. 42: e0170392. https://doi.org/10.1590.18069657rbcs20170392.
4. Hewson R.D., Cudahy T.J., Jones M., Thomas M. Investigations into soil composition and texture using infraared spectroscopy (2-14μm) // Hindwaii Publishing Corporation Applied and Environmental Soil Science. - 2012. - Article ID 535646. https://doi.org/10.1155/2012/535646.
5. Ewing J., Oommen T., Jayakumar P., Alger R. Utilizing hyperspectral remote sensing for gradation of soils // Remote Sensing. - 2020. - Vol. 12(20). - P. 1-13. doi:10.3390/rs12203312.
6. Stark N., Mcninch J., wadman H., Graber H.C., Albatal A., Mallas P.A. Friction angles at sandy beaches from remote imagery// Geotechnique Letters. - 2017. - Vol. 7(4). - P. 292-297. doi:10.1680/jgele.17.00053.
7. Vohland M., Ludwig M., Thiele-Bruhn S., Ludwig B. Quantification of soil properties with hyperspectral data: selecting spectral variables with different methods to improve accuracies and analyze prediction mechanisms// Remote Sensing. - 2017. - Vol. 9(11). - P. 1103. doi:10.3390/rs9111103.
Review
For citations:
Kazimova F.T. THE METHOD FOR INCREASING ACCURACY OF DETERMINING SOIL STRUCTURAL COMPONENTS USING REMOTE SENSING METHODS. Vestnik of North-Eastern Federal University Series "Earth Sciences". 2021;(1):21-27. (In Russ.) https://doi.org/10.25587/SVFU.2021.21.1.002
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