Satellite Color Images, Vegetation index and Metabolism index from Gluecksburg, Germany from 1984 – 2023

DOI

The "Germany Mosaic" is a time series of Landsat satellite images and vectorized segments of the whole of Germany from 1984 to 2023. The image data are divided into the TK100 sheed sections (see further details: Blattschnitt der Topographischen Karte 1:100 000). The dataset contains for each year optimized 6 band imagery for summer (May to July) and autumn (August to October) and the vegetation indices NDVI (Normalized Difference Vegetation Index) and NirV (Near-infrared reflectance of Vegetation) for the same time periods. In addition, vectorized "zones" of roughly homogeneous pixels are provided for each year. The spectral characteristics of the image data and the morphological characteristics of the zones are provided as vector attributes (see Documentation: "Mosaic (1984-2023) - data description"). An overview of the coverage and quality of all sheet sections is given as a vector layer at "D-Mosaik_Sheet-Sections" in this document.In mid-latitudes, seasonal changes in vegetation and thus in the image data, are usually much greater than changes over several years. The temporal periods of the data sets have been chosen so that together they represent the entire vegetation period (May to October), while the division into a summer and a autumn period represents the seasonal change in the metabolic rate of natural biotopes and at the same time record most of the agricultural changes due to sowing and harvesting. Depending on the weather conditions, the individual image data contain the median, the mean value or the best individual image of the specified period (see Documentation: "Mosaic (1984-2023) - data description").Remote sensing has become an important tool and service for environmental research, especially for landscape analysis. Moreover, the spatial distribution and development of remotely sensed parameters can effectively complement and extend traditional biological, ecological, geographical as well as epidemiological tasks.

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.968914
Related Identifier IsPartOf https://doi.pangaea.de/10.1594/PANGAEA.967266
Related Identifier References https://doi.org/10.3390/rs16071139
Related Identifier References https://zenodo.org/records/8116370
Related Identifier References https://github.com/c7sepe2/Imalys_ESIS-Software-Tools
Related Identifier IsDocumentedBy https://gdz.bkg.bund.de/index.php/default/blattschnitt-der-topographischen-karte-1-100-000-tk100-b100.html
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.968914
Provenance
Creator Selsam, Peter ORCID logo; Lausch, Angela ORCID logo; Bumberger, Jan ORCID logo
Publisher PANGAEA
Contributor Helmholtz Centre for Environmental Research - UFZ
Publication Year 2024
Rights Creative Commons Attribution 4.0 International; Data access is restricted (moratorium, sensitive data, license constraints); https://creativecommons.org/licenses/by/4.0/
OpenAccess false
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 1848 data points
Discipline Earth System Research
Spatial Coverage (9.332W, 54.798S, 9.999E, 55.198N)
Temporal Coverage Begin 1984-05-01T00:00:00Z
Temporal Coverage End 2023-10-31T00:00:00Z