Spatial and intra-annual datasets on reed ecosystem dynamics at Lake Neusiedl of 2021 using RGB drone imagery, Phenocam and Deep Learning

doi:10.25365/phaidra.397

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Title (eng)

Analyst

Claudia Buchsteiner

Department of Geography and Regional Research, Faculty of Earth Sciences, Geography and Astronomy, University of Vienna

Researcher

Pamela Alessandra Baur

Department of Geography and Regional Research, Faculty of Earth Sciences, Geography and Astronomy, University of Vienna

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. 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. - Georeferenced orthomosaics in RGB and with a spatial resolution of at least 2.5 cm/pixel - 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) - Vegetation index maps showing green chromatic coordinates (GCC) of the entire study site for every flight to examine the phenological changes of the vegetation over the study period 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) Temporal dataset of the Phenocam attached to the Eddy Covariance Tower, facing northwest and located in the eastern reed belt of Lake Neusiedl (near Ilmitz). The Phenocam has been studying the phenological changes of the reed plant (Phragmites australis) since September 2020 and is equipped with a normal digital camera that captures RGB images every hour during the day. The Phenocam dataset has a daily time stamp and contains processed and filtered Green Chromatic Coordinates (GCC) values of 2021. Format of Phenocam datset: CSV Coordinates of Phenocam (Eddy Covariance Tower): 47.769150°N, 16.758482°E

Keywords (eng)

orthomosaicsLake NeusiedlReedRGBLand cover classificationgreen chromatic coordinatesIllmitzDeep learningUAVPhragmites australisvegetation indexPhenocamphenologyLTER

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

Subject (eng)

ÖFOS 2012 -- 106030 -- Plant ecology

Language

English [eng]

Persistent identifier

https://phaidra.univie.ac.at/o:1647811

DOI

10.25365/phaidra.397

Version type (eng)

author's original

Date

2023

Temporal coverage (eng)

May - November 2021

Depicted / Represented place

Reed Belt of Lake Neusiedl Research Site

[Reed Belt of Lake Neusiedl Research Site--Illmitz--Neusiedl am See--Burgenland--Austria]

Association (eng)

Department of Geography and Regional Research

Access rights (eng)

open access

License

CC BY-SA 4.0 International

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