de.pangaea.dataset971979 und de.pangaea.dataset967266 dataset PANGAEA
info@pangaea.de
https://www.pangaea.de/ information pointOfContact 2025-02-12T01:22:34Z https://doi.pangaea.de/10.1594/PANGAEA.971979 <gco:CharacterString>Satellite Color Images, Vegetation Indices, and Metabolism Indices from Aurich, Germany from 1985 – 2023</gco:CharacterString> 2025-01-14T10:14:40 publication https://doi.org/10.1594/PANGAEA.971979 Selsam, Peter https://orcid.org/0000-0001-6122-7880 information author Lausch, Angela
angela.lausch@ufz.de
https://orcid.org/0000-0002-4490-7232 information author Bumberger, Jan
jan.bumberger@ufz.de
https://orcid.org/0000-0003-3780-8663 information author PANGAEA
info@pangaea.de
https://www.pangaea.de/ information publisher Helmholtz Centre for Environmental Research - UFZ originator tableDigital The "Germany Mosaic" is a time series of Landsat satellite images and vectorized segments covering the entirety of Germany from 1984 to 2023. The image data are divided into TK100 sheet sections (see further details: Blattschnitt der Topographischen Karte 1:100 000). The dataset provides optimized 6-band imagery for each year, representing summer (May to July) and autumn (August to October) seasons, along with vegetation indices such as NDVI (Normalized Difference Vegetation Index) and NirV (Near-Infrared Reflectance of Vegetation) for the same periods. Additionally, vectorized "zones" of approximately homogeneous pixels are available for each year. The spectral properties of the image data and the morphological characteristics of these zones are included as vector attributes (see Documentation: "Mosaic (1984–2023) - Data Description"). An overview of the coverage and quality of all sheet sections is provided as a vector layer titled D-Mosaik_Sheet-Sections within this document. The Germany Mosaic can also be considered a spatial-temporal Data Cube, enabling advanced analysis and integration into workflows requiring multi-dimensional data. This structure allows users to perform operations such as querying data across specific time periods, analyzing trends over decades, or aggregating spatial information to generate tailored insights for a wide range of research applications. In mid-latitudes, seasonal variations in vegetation—and consequently in the image data—are typically more pronounced than changes occurring over several years. The temporal segmentation of the dataset has been designed to encompass the entire vegetation period (May to October), with the division into summer and autumn periods capturing seasonal metabolic shifts in natural biotopes. This segmentation also records most agricultural changes, including sowing and harvesting activities. Depending on weather conditions, the individual image data represent either the median, mean value, or the best available image for the specified time period (see Documentation: "Mosaic (1984–2023) - Data Description). Remote sensing has become an indispensable tool for environmental research, particularly in landscape analysis. Beyond conventional applications, the Germany Mosaic supports the development of digital twins in environmental system research. By providing detailed spatial and temporal data, this dataset enables the modeling of virtual ecosystems, facilitating simulations, scenario testing, and predictive analyses for sustainable management. Moreover, the spatial and temporal trends captured by remotely sensed parameters complement traditional approaches in biological, ecological, geographical, and epidemiological research. completed ecosystem transitions Germany Image segmentation indicators Landsat 5 Landsat 6 Landsat 8 Landsat 9 Landscape pattern Landscape structure NDVI NIRv Vegetation index theme <gco:CharacterString>PANGAEA Keyword List</gco:CharacterString> 1995-01-01 creation PANGAEA
info@pangaea.de
https://www.pangaea.de/ information pointOfContact copyright copyright CC-BY-4.0: Creative Commons Attribution 4.0 International textTable und geoscientificInformation 7.33252773 7.99909228 53.198494199 53.598450135 1985-05-01T00:00:00 2023-10-31T00:00:00 Area/locality thematicClassification Year of observation physicalMeasurement a AD a AD Date/time start thematicClassification Date/time end thematicClassification File content thematicClassification Raster graphic, GeoTIFF format thematicClassification Geospatial vector, shapefiles thematicClassification File type thematicClassification Site information thematicClassification text/tab-separated-values unknown https://doi.pangaea.de/10.1594/PANGAEA.971979?format=textfile download dataset The data set was checked for completeness, correctness, and consistency of metainformation. Validity of used methods was checked and - if applicable - precision and range of data. EVENT LABEL: ESIS_Aurich (c2710) * LATITUDE START: 53.198494 * LONGITUDE START: 7.332528 * LATITUDE END: 53.598450 * LONGITUDE END: 7.999092 * DATE/TIME START: 1985-05-01T00:00:00 * DATE/TIME END: 2023-10-31T00:00:00 * METHOD/DEVICE: Remote sensing 1985-05-01T00:00:00 Related to <gco:CharacterString>Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys</gco:CharacterString> 2024-01-01 publication https://doi.org/10.3390/rs16071139 Selsam, Peter https://orcid.org/0000-0001-6122-7880 information author Bumberger, Jan
jan.bumberger@ufz.de
https://orcid.org/0000-0003-3780-8663 information author Wellmann, Thilo https://orcid.org/0000-0002-6852-5095 information author Pause, Marion https://orcid.org/0000-0002-3836-2723 information author Gey, Ronny https://orcid.org/0000-0003-1028-1670 information author Borg, Erik https://orcid.org/0000-0001-8288-8426 information author Lausch, Angela
angela.lausch@ufz.de
https://orcid.org/0000-0002-4490-7232 information author documentDigital Remote Sensing 16(7) 1139 Related to <gco:CharacterString>Imalys - Image Analysis</gco:CharacterString> 2023-01-01 publication https://doi.org/10.5281/ZENODO.8116370 Selsam, Peter https://orcid.org/0000-0001-6122-7880 information author Gey, Ronny https://orcid.org/0000-0003-1028-1670 information author Lausch, Angela
angela.lausch@ufz.de
https://orcid.org/0000-0002-4490-7232 information author Bumberger, Jan
jan.bumberger@ufz.de
https://orcid.org/0000-0003-3780-8663 information author documentDigital Zenodo Related code / software <gco:CharacterString>Imalys – ESIS tool for Image Analysis</gco:CharacterString> 2024-01-01 publication https://github.com/c7sepe2/Imalys_ESIS-Software-Tools Selsam, Peter https://orcid.org/0000-0001-6122-7880 information author documentDigital Documentation <gco:CharacterString>D-Mosaic (1984-2023) - data description</gco:CharacterString> 2024-01-01 publication Selsam, Peter https://orcid.org/0000-0001-6122-7880 information author documentHardcopy 3 Further details <gco:CharacterString>Blattschnitt der Topographischen Karte 1:100 000 (TK100) (b100)</gco:CharacterString> https://gdz.bkg.bund.de/index.php/default/blattschnitt-der-topographischen-karte-1-100-000-tk100-b100.html documentDigital