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Creating a regional MODIS satellite-driven net primary production dataset for European forests

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F16%3A72083" target="_blank" >RIV/60460709:41320/16:72083 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.3390/rs8070554" target="_blank" >http://dx.doi.org/10.3390/rs8070554</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/rs8070554" target="_blank" >10.3390/rs8070554</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Creating a regional MODIS satellite-driven net primary production dataset for European forests

  • Original language description

    Net primary production (NPP) is an important ecological metric for studying forest ecosystems and their carbon sequestration, for assessing the potential supply of food or timber and quantifying the impacts of climate change on ecosystems. The global MODIS NPP dataset using the MOD17 algorithm provides valuable information for monitoring NPP at 1-km resolution. Since coarse-resolution global climate data are used, the global dataset may contain uncertainties for Europe. We used a 1-km daily gridded European climate data set with the MOD17 algorithm to create the regional NPP dataset MODIS EURO. For evaluation of this new dataset, we compare MODIS EURO with terrestrial driven NPP from analyzing and harmonizing forest inventory data (NFI) from 196,434 plots in 12 European countries as well as the global MODIS NPP dataset for the years 2000 to 2012. Comparing these three NPP datasets, we found that the global MODIS NPP dataset differs from NFI NPP by 26%, while MODIS EURO only differs by 7%. MODIS EURO

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    GK - Forestry

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • 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

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    NN -

  • Number of pages

    18

  • Pages from-to

    1-18

  • UT code for WoS article

    000382224800024

  • EID of the result in the Scopus database