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A GIS method for volumetric assessments of erosion rills from digital surface models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00325419" target="_blank" >RIV/68407700:21110/19:00325419 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1080/22797254.2018.1543556" target="_blank" >https://doi.org/10.1080/22797254.2018.1543556</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/22797254.2018.1543556" target="_blank" >10.1080/22797254.2018.1543556</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A GIS method for volumetric assessments of erosion rills from digital surface models

  • Original language description

    Modern non-contact methods for data acquisition are becoming widely used for monitoring soil erosion and for assessing soil degradation after rainfall events. Photogrammetric methods are especially favored to obtain a detailed and precise digital surface model (DSM) of the surveyed area. This paper introduces the algorithm and its Python implementation as a tool for ArcGIS software, which makes efficient automatic calculations of the volume of erosion rills or gullies. The input parameters are a DSM, and the rill edge polygon. The method was tested on an artificially created rill, where the result acquired using presented method was compared to the real volume. The comparison showed that the algorithm may underestimate the volume by 10–15%. In addition, the influence of the position of the rill edge polygon was tested on two DSMs of erosion rills. The resulting volumes of the rills, calculated on the basis of eight different edge polygons, varied by 5%. The algorithm also automates interpolation of the surface prior to erosion, which simplifies its usage in firstly monitored regions. The algorithm can also be used for volumetric analyses in other research areas and it is made available as a supplement of the publication.

  • 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

    20701 - Environmental and geological engineering, geotechnics

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)

Others

  • Publication year

    2019

  • 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

    52

  • Issue of the periodical within the volume

    Sup1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    12

  • Pages from-to

    96-107

  • UT code for WoS article

    000475928900008

  • EID of the result in the Scopus database

    2-s2.0-85057303134