Rodionova N.V., Kudryashova V.A., Chumbaev A.S. Evaluation of Some Parameters of the Topsoil from Radar and Optical Data of Sentinel 1/2 Satellites Using the Example of the Novosibirsk Region. Izvestiya Atmospheric and Oceanic Physics , 2022 , 58 (12). С. 1150-1159. ISSN 0001-4338
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Аннотация
This paper considers the use of radar and optical data from the Sentinel 1 and Sentinel 2 satellites for 2019–2020 to assess the humus content and the percentage of clay and moisture in the topsoil using the example of chernozems and gray forest soils of the Novosibirsk oblast. Particular attention is paid to the selection of satellite images, because in order to quantify the humus content and clay in the soil, it is necessary to fulfill the conditions for the soil to be dry and bare. The humus content is estimated for five test sites based on a regression model (Karavanova and Orlov, 1996), which includes surface reflection coefficients at the wavelength of the B6 spectral channel of the Sentinel 2 satellite. The model parameters are adjusted for the conditions of the study area separately for chernozems and gray forest soils. The percentage of physical clay in the soil is estimated using Sentinel 2 optical data, ground measurements, and regression models with an exponential dependence of clay content on soil reflectances at the SWIR wavelengths of the Sentinel 2 spectral channels (Bousbih et al., 2019; Shabou et al., 2015). The change in the percentage of humus and clay content in the test sites of soils over the year is shown according to Sentinel 2 data. The topsoil moisture content is estimated based on radar, optical, and the combined use of radar and optical data.
Тип объекта: | Статья |
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Авторы на русском. ОБЯЗАТЕЛЬНО ДЛЯ АНГЛОЯЗЫЧНЫХ ПУБЛИКАЦИЙ!: | Родионова Н.В. Кудряшова В.А. Чумбаев А.С. |
Подразделения (можно выбрать несколько, удерживая Ctrl): | 302 лаб. радиолокационных методов дистанционного зондирования |
URI: | http://cplire.ru:8080/id/eprint/8388 |
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