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Title (eng)
Land cover classification 2021-07-27
Description (eng)
Datasets corresponding to the publication: Buchsteiner, C.; Baur, P.A.; Glatzel, S. (2023): Spatial Analysis of Intra-Annual Reed Ecosystem Dynamics at Lake Neusiedl Using RGB Drone Imagery and Deep Learning. Remote Sensing, 15, 3961. Flight 2021-07-27 over the reed belt of Lake Neusiedl near Illmitz in the nature zone of the National Park Neusiedler See - Seewinkel. - Land cover classification of the study site with three classes vegetation (reed), water and sediment and their temporal changes over the study period performed with deep learning (CNN) Land cover classes: - 1: vegetation (reed) - 2: water - 3: sediment (open soil) Format: Shapefile (polygon) Geographical informations: - extent: 53 ha (study area) - coordinates of center: 47°46’09"N, 16°45’30"E - coordinate system: WGS 1984 UTM Zone 33N (EPSG: 32633)
Keywords (eng)
ReedPhragmites australisLake NeusiedlIllmitzdeep learningUAVLand cover classification
Subject (eng)
ÖFOS 2012 -- 105906 -- Environmental geosciences
Subject (eng)
ÖFOS 2012 -- 105405 -- Geoecology
Subject (eng)
ÖFOS 2012 -- 207402 -- Remote sensing
Subject (eng)
ÖFOS 2012 -- 106026 -- Ecosystem research
Type (eng)
Type (eng)
Persistent identifier
Cites (eng)
Buchsteiner, C.; Baur, P.A. (2023): Spatial and intra-annual datasets on reed ecosystem dynamics at Lake Neusiedl of 2021 using RGB drone imagery, Phenocam and Deep Learning. V1. PHAIDRA Repositorium (University of Vienna).
Version type (eng)
Date created
Temporal coverage (eng)
Depicted / Represented place (eng)
Lake Neusiedl
Zugangsberechtigungen (eng)