Satellite Monitoring of the Initial Stages of Arable Soil Degradation

Arable soil degradation poses a serious threat to global agricultural production and food security. Thus, the monitoring of its initial stages such as soil crust development is of great importance. In our study we presented an approach for such monitoring based on multi-temporal satellite data. Study region, covered by a Landsat 8 OLI scene (180 × 185 km), included the south-eastern part of Moscow, north-eastern part of Tula and western part of Ryazan regions of Russia. The suggested approach is comprised of such steps as (1) multi-temporal satellite data selection and preprocessing; (2) open soil surface identification; (3) dry soil surface detection; (4) detection of soil crust presence in a pixel. The calibration of the approach (steps (3), (4)), was performed based on the field data and the data from two laboratory experiments with soils of the studied region. The main result was a map of the probability of soil crust presence (SCP) for the studied region for the period 2016–2021, outlining the areas with different risk of soil degradation development. The field validation of the map showed that the obtained SCP values are in agreement with the indicators of soil susceptibility to the crust formation.

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Publication Details

Journal
Eurasian Soil Science
Published
2025-04-01
DOI
https://doi.org/10.1134/s1064229324603317
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
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article

Satellite Monitoring of the Initial Stages of Arable Soil Degradation

I. Yu. Savin, G. V. Vindeker, E. Yu. Prudnikova
Eurasian Soil Science
Soil erosion and sediment transport
article

Satellite Monitoring of the Initial Stages of Arable Soil Degradation

I. Yu. Savin, G. V. Vindeker, E. Yu. Prudnikova
article en

Abstract

Arable soil degradation poses a serious threat to global agricultural production and food security. Thus, the monitoring of its initial stages such as soil crust development is of great importance. In our study we presented an approach for such monitoring based on multi-temporal satellite data. Study region, covered by a Landsat 8 OLI scene (180 × 185 km), included the south-eastern part of Moscow, north-eastern part of Tula and western part of Ryazan regions of Russia. The suggested approach is comprised of such steps as (1) multi-temporal satellite data selection and preprocessing; (2) open soil surface identification; (3) dry soil surface detection; (4) detection of soil crust presence in a pixel. The calibration of the approach (steps (3), (4)), was performed based on the field data and the data from two laboratory experiments with soils of the studied region. The main result was a map of the probability of soil crust presence (SCP) for the studied region for the period 2016–2021, outlining the areas with different risk of soil degradation development. The field validation of the map showed that the obtained SCP values are in agreement with the indicators of soil susceptibility to the crust formation.

Eurasian Soil ScienceVol. 58(4)
Lomonosov Moscow State University (RU), V.V. Dokuchaev Soil Science Institute (RU), Institute for Soil Science and Agricultural Chemistry (RU)
Zero hunger
Openalex Percentile: Top 90%
Soil erosion and sediment transport
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