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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Bořivoj Šarapatka, Marek Bednář
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	soil degradation water erosion production winter wheat aerial images EVI Agriculture S
Acceso en línea:	https://doaj.org/article/d41243599013451cba915e5f474c6f04
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d41243599013451cba915e5f474c6f04
record_format	dspace
spelling	oai:doaj.org-article:d41243599013451cba915e5f474c6f042021-11-25T16:07:08ZAgricultural Production on Erosion-Affected Land from the Perspective of Remote Sensing10.3390/agronomy111122162073-4395https://doaj.org/article/d41243599013451cba915e5f474c6f042021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2216https://doaj.org/toc/2073-4395In 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.Bořivoj ŠarapatkaMarek BednářMDPI AGarticlesoil degradationwater erosionproductionwinter wheataerial imagesEVIAgricultureSENAgronomy, Vol 11, Iss 2216, p 2216 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	soil degradation water erosion production winter wheat aerial images EVI Agriculture S
spellingShingle	soil degradation water erosion production winter wheat aerial images EVI Agriculture S Bořivoj Šarapatka Marek Bednář Agricultural Production on Erosion-Affected Land from the Perspective of Remote Sensing
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.
format	article
author	Bořivoj Šarapatka Marek Bednář
author_facet	Bořivoj Šarapatka Marek Bednář
author_sort	Bořivoj Šarapatka
title	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_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_sort	agricultural production on erosion-affected land from the perspective of remote sensing
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d41243599013451cba915e5f474c6f04
work_keys_str_mv	AT borivojsarapatka agriculturalproductiononerosionaffectedlandfromtheperspectiveofremotesensing AT marekbednar agriculturalproductiononerosionaffectedlandfromtheperspectiveofremotesensing
_version_	1718413344346472448

Agricultural Production on Erosion-Affected Land from the Perspective of Remote Sensing

Ejemplares similares