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Title (eng)
Set of Land cover classification
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. https://doi.org/10.3390/rs15163961 Spatio-temporal data sets of 10 UAV flights from May to November 2021 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 3 classes vegetation (reed), water and sediment and their temporal changes over the study period performed with deep learning (CNN) 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)
orthomosaicsLake NeusiedlReedRGBLand cover classificationgreen chromatic coordinatesIllmitzDeep learningUAVPhragmites australisLTER
Subject (eng)
ÖFOS 2012 -- 105906 -- Environmental geosciences
Subject (eng)
ÖFOS 2012 -- 105405 -- Geoecology
Subject (eng)
ÖFOS 2012 -- 106026 -- Ecosystem research
Subject (eng)
ÖFOS 2012 -- 207402 -- Remote sensing
Language
[eng]
Persistent identifier
https://phaidra.univie.ac.at/o:1647857
Version type (eng)
Date
2023
Temporal coverage (eng)
May - November 2021
Depicted / Represented place
[Neusiedler See--Austria]
Zugangsberechtigungen (eng)
Bibliography
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).https://doi.org/10.25365/phaidra.397
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