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Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe / Cornelius Senf in ISPRS Journal of photogrammetry and remote sensing, vol 130 (August 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 130 (August 2017) . - pp 453 - 463 Titre : Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe Type de document : Article/Communication Auteurs : Cornelius Senf, Auteur ; Dirk Pflugmacher, Auteur ; Patrick Hostert, Auteur ; Rupert Seidl, Auteur Année de publication : 2017 Article en page(s) : pp 453 - 463 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] aire protégée [Termes IGN] Allemagne [Termes IGN] analyse spatio-temporelle [Termes IGN] Autriche [Termes IGN] dynamique spatiale [Termes IGN] écosystème forestier [Termes IGN] Europe centrale [Termes IGN] gestion forestière [Termes IGN] habitat forestier [Termes IGN] image Landsat [Termes IGN] interaction homme-milieu [Termes IGN] milieu naturel [Termes IGN] parc naturel national [Termes IGN] placette d'échantillonnage [Termes IGN] Pologne [Termes IGN] République Tchèque [Termes IGN] série temporelle [Termes IGN] Slovaquie [Termes IGN] sylviculture Résumé : (Auteur) Remote sensing is a key information source for improving the spatiotemporal understanding of forest ecosystem dynamics. Yet, the mapping and attribution of forest change remains challenging, particularly in areas where a number of interacting disturbance agents simultaneously affect forest development. The forest ecosystems of Central Europe are coupled human and natural systems, with natural and human disturbances affecting forests both individually and in combination. To better understand the complex forest disturbance dynamics in such systems, we utilize 32-year Landsat time series to map forest disturbances in five sites across Austria, the Czech Republic, Germany, Poland, and Slovakia. All sites consisted of a National Park and the surrounding forests, reflecting three management zones of different levels of human influence (managed, protected, strictly protected). This allowed for a comparison of spectral, temporal, and spatial disturbance patterns across a gradient from natural to coupled human and natural disturbances. Disturbance maps achieved overall accuracies ranging from 81% to 93%. Disturbance patches were generally small, with 95% of the disturbances being smaller than 10 ha. Disturbance rates ranged from 0.29% yr−1 to 0.95% yr−1, and differed substantially among management zones and study sites. Natural disturbances in strictly protected areas were longer in duration (median of 8 years) and slightly less variable in magnitude compared to human-dominated disturbances in managed forests (median duration of 1 year). However, temporal dynamics between natural and human-dominated disturbances showed strong synchrony, suggesting that disturbance peaks are driven by natural events affecting managed and unmanaged areas simultaneously. Our study demonstrates the potential of remote sensing for mapping forest disturbances in coupled human and natural systems, such as the forests of Central Europe. Yet, we also highlight the complexity of such systems in terms of agent attribution, as many natural disturbances are modified by management responding to them outside protected areas. Numéro de notice : A2017-520 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.07.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2017.07.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86482 [article]

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