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Use of TanDEM-X and SRTM-C Data for Detection of Deforestation Caused by Bark Beetle in Central European Mountains

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A87027" target="_blank" >RIV/60460709:41330/21:87027 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2072-4292/13/15/3042/pdf" target="_blank" >https://www.mdpi.com/2072-4292/13/15/3042/pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/rs13153042" target="_blank" >10.3390/rs13153042</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Use of TanDEM-X and SRTM-C Data for Detection of Deforestation Caused by Bark Beetle in Central European Mountains

  • Original language description

    The availability of global digital elevation models (DEMs) from multiple time points allows their combination for analysing vegetation changes. The combination of models (e.g., SRTM and TanDEMX) can contain errors, which can, due to their synergistic effects, yield incorrect results. We used a highresolution LiDAR derived digital surface model (DSM) to evaluate the accuracy of canopy height estimates of the aforementioned global DEMs. In addition, we subtracted SRTM and TanDEMX data at 90 and 30 m resolutions, respectively, to detect deforestation caused by bark beetle disturbance and evaluated the associations of their difference with terrain characteristics. The study areas covered three Central European mountain ranges and their surrounding areas: Bohemian Forest, Erzgebirge, and Giant Mountains. We found that vertical bias of SRTM and TanDEMX, relative to the canopy height, is similar with negative values of up to 2,5 m and LE90s below 7,8 m in non forest areas. In forests, the vertical bias of S

  • 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

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

    <a href="/en/project/SS02030018" target="_blank" >SS02030018: Center for Landscape and Biodiversity</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Remote Sensing

  • ISSN

    2072-4292

  • e-ISSN

    2072-4292

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    15

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    17

  • Pages from-to

    1-17

  • UT code for WoS article

    000682255200001

  • EID of the result in the Scopus database

    2-s2.0-85112076993