Analysis of spatiotemporal variability of C-factor derived from remote sensing data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F18%3A00488990" target="_blank" >RIV/86652079:_____/18:00488990 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15310/18:73587793

Result on the web

<a href="http://dx.doi.org/10.1117/1.JRS.12.016022" target="_blank" >http://dx.doi.org/10.1117/1.JRS.12.016022</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/1.JRS.12.016022" target="_blank" >10.1117/1.JRS.12.016022</a>

Result language

angličtina

Original language name

Analysis of spatiotemporal variability of C-factor derived from remote sensing data

Original language description

Soil erosion is an important phenomenon that contributes to the degradation of agricultural land. Even though it is a natural process, human activities can significantly increase its impact on land degradation and present serious limitation on sustainable agricultural land use. Nowadays, the risk of soil erosion is assessed either qualitatively by expert assessment or quantitatively using model-based approach. One of the primary factors affecting the soil erosion assessment is a cover-management factor, C-factor. In the Czech Republic, several models are used to assess the C-factor on a long-term basis based on data collected using traditional tabular methods. This paper presents work to investigate the estimation of both long-term and short-term cover-management factors using remote sensing data. The results demonstrate a successful development of C-factor maps for each month of 2014, growing season average, and annual average for the Czech Republic. C-factor values calculated from remote sensing data confirmed expected trend in their temporal variability for selected crops. The results presented in this paper can be used for enhancing existing methods for estimating C-factor, planning future agricultural activities, and designing technical remediations and improvement activities of land use in the Czech Republic, which are also financially supported by the European Union funds. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

<a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Applied Remote Sensing

ISSN

1931-3195

e-ISSN

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Volume of the periodical

12

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

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UT code for WoS article

000425805600002

EID of the result in the Scopus database

2-s2.0-85042448567