Next Article in Journal
Spaceborne Multifrequency PolInSAR-Based Inversion Modelling for Forest Height Retrieval
Next Article in Special Issue
Analysis of the Influence of DTM Source Data on the LS Factors of the Soil Water Erosion Model Values with the Use of GIS Technology
Previous Article in Journal
AMN: Attention Metric Network for One-Shot Remote Sensing Image Scene Classification
Previous Article in Special Issue
Assessment of Intra-Annual and Inter-Annual Variabilities of Soil Erosion in Crete Island (Greece) by Incorporating the Dynamic “Nature” of R and C-Factors in RUSLE Modeling
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 12
Issue 24
10.3390/rs12244047
remotesensing-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Mapping Soil Degradation on Arable Land with Aerial Photography and Erosion Models, Case Study from Danube Lowland, Slovakia

by
Marián Jenčo
1,*,
Emil Fulajtár
2,
Hana Bobáľová
3,
Igor Matečný
1,
Martin Saksa
2,
Miroslav Kožuch
3,
Michal Gallay
4,
Ján Kaňuk
4,
Vladimír Píš
2 and
Veronika Oršulová
1
1
Department of Physical Geography and Geoecology, Faculty of Natural Sciences, Comenius University in Bratislava, Mlynská dolina, Ilkovičova 6, 842 15 Bratislava, Slovakia
2
National Agriculture and Food Centre, Soil Science and Conservation Research Institute, Trenčianska 55, 821 09 Bratislava, Slovakia
3
Department of Cartography, Geoinformatics and Remote Sensing, Faculty of Natural Sciences, Comenius University in Bratislava, Mlynská dolina, Ilkovičova 6, 842 15 Bratislava, Slovakia
4
Institute of Geography, Faculty of Science, Pavol Jozef Šafárik University in Košice, Jesenná 5, 040 01 Košice, Slovakia
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(24), 4047; https://doi.org/10.3390/rs12244047
Submission received: 17 November 2020 / Revised: 8 December 2020 / Accepted: 8 December 2020 / Published: 10 December 2020
(This article belongs to the Special Issue Remote Sensing of Soil Erosion)
Browse Figures
Versions Notes

Abstract

The presented study uses the recent colour aerial photographs, historical black and white aerial photographs, and detailed digital elevation model to assess the spatial distribution and long-term temporal dynamics of soil loss in agriculturally intensively exploited loess hilly land with a subcontinental temperate climate. The strongly eroded soils appear in the studied area as bright patterns, surrounded by darker soils, and they are well visible on aerial photos. Three approaches of interpretation of aerial photographs were tested: visual interpretation, pixel-based image classification, and object-based image classification. All three methods provided detailed maps of soil redistribution patterns. The bright areas as the areas of soil degradation characterized by erosion increased from 1949 until 2011 by 76%. A detailed map of areal erosion patterns was used for the validation of water erosion models. LS-factor of USLE and ED’ index of USPED were selected for expressing the relation of real erosion to the terrain. The relationship between surface morphology and real erosion is very complex, and the tested water erosion models do not express it sufficiently. Therefore, the first and second-order directional derivative of the surface elevations with respect to the tillage direction has been tested. The absolute value of the first-order directional derivative showed better results and better corresponded with the real erosion pattern than the other morphometric characteristics. The findings suggest that tillage is the dominant erosion factor in the area.
Keywords: remote sensing; image interpretation; erosion mapping; tillage erosion; USPED; USLE remote sensing; image interpretation; erosion mapping; tillage erosion; USPED; USLE
Graphical Abstract

Share and Cite

MDPI and ACS Style

Jenčo, M.; Fulajtár, E.; Bobáľová, H.; Matečný, I.; Saksa, M.; Kožuch, M.; Gallay, M.; Kaňuk, J.; Píš, V.; Oršulová, V. Mapping Soil Degradation on Arable Land with Aerial Photography and Erosion Models, Case Study from Danube Lowland, Slovakia. Remote Sens. 2020, 12, 4047. https://doi.org/10.3390/rs12244047

AMA Style

Jenčo M, Fulajtár E, Bobáľová H, Matečný I, Saksa M, Kožuch M, Gallay M, Kaňuk J, Píš V, Oršulová V. Mapping Soil Degradation on Arable Land with Aerial Photography and Erosion Models, Case Study from Danube Lowland, Slovakia. Remote Sensing. 2020; 12(24):4047. https://doi.org/10.3390/rs12244047

Chicago/Turabian Style

Jenčo, Marián, Emil Fulajtár, Hana Bobáľová, Igor Matečný, Martin Saksa, Miroslav Kožuch, Michal Gallay, Ján Kaňuk, Vladimír Píš, and Veronika Oršulová. 2020. "Mapping Soil Degradation on Arable Land with Aerial Photography and Erosion Models, Case Study from Danube Lowland, Slovakia" Remote Sensing 12, no. 24: 4047. https://doi.org/10.3390/rs12244047

APA Style

Jenčo, M., Fulajtár, E., Bobáľová, H., Matečný, I., Saksa, M., Kožuch, M., Gallay, M., Kaňuk, J., Píš, V., & Oršulová, V. (2020). Mapping Soil Degradation on Arable Land with Aerial Photography and Erosion Models, Case Study from Danube Lowland, Slovakia. Remote Sensing, 12(24), 4047. https://doi.org/10.3390/rs12244047

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop