Agricultural Production on Erosion-Affected Land from the Perspective of Remote Sensing
In this article, we discuss the influence of soil erosion on crop yield in the erosion-prone chernozem region of South Moravia. Erosional and depositional areas show significant differences in soil properties, which are also reflected in total crop yield. Plots of winter wheat, grown during the year...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/11/11/2216 |
| _version_ | 1827677691392819200 |
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| author | Bořivoj Šarapatka Marek Bednář |
| author_facet | Bořivoj Šarapatka Marek Bednář |
| author_sort | Bořivoj Šarapatka |
| collection | DOAJ |
| description | In this article, we discuss the influence of soil erosion on crop yield in the erosion-prone chernozem region of South Moravia. Erosional and depositional areas show significant differences in soil properties, which are also reflected in total crop yield. Plots of winter wheat, grown during the years 2016–2019 were used for analysis. The Enhanced Vegetation Index (EVI), referred to in literature as one of the best correlates of yield, was used to provide indirect information on yield. Although erosional areas are visible on orthophoto images on chernozem soils, the necessary orthophoto images are not always available. Thus, we have proposed a method for the identification of such erosion-affected areas based on the use of Sentinel 2 satellite images and NDVI or NBR2 indices. The relationship between yield and erosion was expressed through Pearson’s correlation on a sample of pixels randomly selected on the studied plots. The results showed a statistically significant linear reduction in yield depending on the level of degradation. All plots were further reclassified, according to level of degradation, as high, medium, or low state of degradation, where the average EVI values were subsequently calculated. Yield on non-degraded soil is 16 ± 1% higher on average. |
| first_indexed | 2024-03-10T05:47:29Z |
| format | Article |
| id | doaj.art-d41243599013451cba915e5f474c6f04 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T05:47:29Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-d41243599013451cba915e5f474c6f042023-11-22T22:02:15ZengMDPI AGAgronomy2073-43952021-11-011111221610.3390/agronomy11112216Agricultural Production on Erosion-Affected Land from the Perspective of Remote SensingBořivoj Šarapatka0Marek Bednář1Department of Ecology and Environmental Sciences, Palacký University, Šlechtitelů 27, 783 71 Olomouc, Czech RepublicDepartment of Ecology and Environmental Sciences, Palacký University, Šlechtitelů 27, 783 71 Olomouc, Czech RepublicIn this article, we discuss the influence of soil erosion on crop yield in the erosion-prone chernozem region of South Moravia. Erosional and depositional areas show significant differences in soil properties, which are also reflected in total crop yield. Plots of winter wheat, grown during the years 2016–2019 were used for analysis. The Enhanced Vegetation Index (EVI), referred to in literature as one of the best correlates of yield, was used to provide indirect information on yield. Although erosional areas are visible on orthophoto images on chernozem soils, the necessary orthophoto images are not always available. Thus, we have proposed a method for the identification of such erosion-affected areas based on the use of Sentinel 2 satellite images and NDVI or NBR2 indices. The relationship between yield and erosion was expressed through Pearson’s correlation on a sample of pixels randomly selected on the studied plots. The results showed a statistically significant linear reduction in yield depending on the level of degradation. All plots were further reclassified, according to level of degradation, as high, medium, or low state of degradation, where the average EVI values were subsequently calculated. Yield on non-degraded soil is 16 ± 1% higher on average.https://www.mdpi.com/2073-4395/11/11/2216soil degradationwater erosionproductionwinter wheataerial imagesEVI |
| spellingShingle | Bořivoj Šarapatka Marek Bednář Agricultural Production on Erosion-Affected Land from the Perspective of Remote Sensing Agronomy soil degradation water erosion production winter wheat aerial images EVI |
| title | Agricultural Production on Erosion-Affected Land from the Perspective of Remote Sensing |
| title_full | Agricultural Production on Erosion-Affected Land from the Perspective of Remote Sensing |
| title_fullStr | Agricultural Production on Erosion-Affected Land from the Perspective of Remote Sensing |
| title_full_unstemmed | Agricultural Production on Erosion-Affected Land from the Perspective of Remote Sensing |
| title_short | Agricultural Production on Erosion-Affected Land from the Perspective of Remote Sensing |
| title_sort | agricultural production on erosion affected land from the perspective of remote sensing |
| topic | soil degradation water erosion production winter wheat aerial images EVI |
| url | https://www.mdpi.com/2073-4395/11/11/2216 |
| work_keys_str_mv | AT borivojsarapatka agriculturalproductiononerosionaffectedlandfromtheperspectiveofremotesensing AT marekbednar agriculturalproductiononerosionaffectedlandfromtheperspectiveofremotesensing |