E3S Web Conf.
Volume 223, 2020Regional Problems of Earth Remote Sensing (RPERS 2020)
|Number of page(s)||6|
|Section||Monitoring of the Environment, Natural and Anthropogenic Objects and Phenomena|
|Published online||21 December 2020|
Use of spectral surface characteristics for mapping soil cover structure under Krasnoyarsk forest-steppe conditions
1 Federal State Budget Educational Institution of Higher Education Krasnoyarsk State Agrarian University, 90 Mira Avenue, Krasnoyarsk City, 660049, Russia
2 Institute of Biophysics SB RAS, Krasnoyarsk 660036, Russia
* Corresponding author: firstname.lastname@example.org
The relations between the spectral surface characteristics of the elements of the soil cover structure and soil properties in the Krasnoyarsk forest-steppe of Central Siberia were investigated. It was revealed that the most informative parameters for field spectrometry are the content of humus, carbonate carbon dioxide and the prevailing particle-size fractions. A statistically significant relationship between the elements of the soil cover structure and the reflectivity of soils has been confirmed by means of multidimensional statistics. The wave lengths with the greatest coupling force are highlighted. Regression equations for remote study of soil cover structure have been obtained, which can be used if additional point studies are carried out in a wider range of test parameters.
Key words: soil cover structure / spectral brightness coefficient / humus / particle-size distribution / multiple regression
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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