Mapping Soil Degradation using Remote Sensing Data and Ancillary Data - South-East Moravia, Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027049%3A_____%2F18%3AN0000067" target="_blank" >RIV/00027049:_____/18:N0000067 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41210/19:79454 RIV/00216208:11310/19:10378889
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/22797254.2018.1482524" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/22797254.2018.1482524</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/22797254.2018.1482524" target="_blank" >10.1080/22797254.2018.1482524</a>
Alternative languages
Result language
angličtina
Original language name
Mapping Soil Degradation using Remote Sensing Data and Ancillary Data - South-East Moravia, Czech Republic
Original language description
Data on the real extent of soil that is degraded by erosion represent important information for the purposes of conservation policy. However, this type of data is rarely available for large areas. A remote-sensing-based method for identifying of eroded areas at the regional scale has been tested using a combination of time series of free access Sentinel-2 image data, airborne orthoimages and ground-truth data. The unsupervised classification ISODATA of the Sentinel-2A images has been performed. The minimum distance method has been applied for the assignment of unsupervised classes to four erosion classes using the ground-truth data. The automatic classification of eroded soils achieved an overall accuracy of 55.2 % for three distinguished classes. An accumulated class has been eliminated as no unsupervised classes were assigned to this erosion class. A simplified classification of two classes (strongly eroded and other soils) reached an accuracy of 80.9%. The overall accuracy of the simplified classification increased to 86.9% after the visual refinement using orthoimages. This study shows the potential of the tested approach to produce valuable data on actual soil degradation by erosion. The limitations of the method are related to the soil cover variability, masking effect of clouds, vegetation or litter and the spectral separability of individual classes.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
40104 - Soil science
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Journal of Remote Sensing
ISSN
2279-7254
e-ISSN
2279-7254
Volume of the periodical
sup1
Issue of the periodical within the volume
52
Country of publishing house
IT - ITALY
Number of pages
16
Pages from-to
108-122
UT code for WoS article
000475928900009
EID of the result in the Scopus database
2-s2.0-85049792270