Satellite Color Images, Vegetation Indices, and Metabolism Indices from Aalen, Germany from 1984 – 2023
type: Dataset
conforms to: http://mlcommons.org/croissant/1.0
creator: Peter Selsam
creator: Angela Lausch
creator: Jan Bumberger
publisher: PANGAEA
  type: Organization
  disambiguating description: Data Publisher for Earth & Environmental Science
included in data catalog: PANGAEA
  type: DataCatalog
  disambiguating description: Data Publisher for Earth & Environmental Science
date published: 2025-01-14
is part of: https://doi.org/10.1594/PANGAEA.967266
source organization: Helmholtz Centre for Environmental Research - UFZ
additional type: dataset
description: 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. […]
abstract: 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 av…
citation: Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys
citation: Imalys - Image Analysis
citation: Imalys – ESIS tool for Image Analysis
citation: D-Mosaic (1984-2023) - data description
  type: CreativeWork
  type: Article
  creator: Peter Selsam
  date published: 2024
  pagination: 3
  additional type: other
citation: Blattschnitt der Topographischen Karte 1:100 000 (TK100) (b100)
spatial coverage: Place
  geo: GeoShape
    box: 48.79899472 9.998824433 49.198954373 10.665403447
temporal coverage: 1985-05-01T00:00:00/2023-10-31T00:00:00
size: QuantitativeValue
  value: 2040.0
  unit text: data points
variable measured: Area/locality
  type: PropertyValue
  subject of: DefinedTermSet
    has defined term: Area
variable measured: Year of observation
  type: PropertyValue
  unit text: a AD
  subject of: DefinedTermSet
    has defined term: year
    has defined term: Time
variable measured: Date/time start
variable measured: Date/time end
variable measured: File content
variable measured: Raster graphic, GeoTIFF format
variable measured: Geospatial vector, shapefiles
variable measured: File type
variable measured: Site information
keywords: ecosystem transitions; Germany; Image segmentation; indicators; Landsat 5; Landsat 6; Landsat 8; Landsat 9; Landscape pattern; Landscape structure; NDVI; NIRv; Vegetation index
license: https://creativecommons.org/licenses/by/4.0/
conditions of access: unrestricted
is accessible for free: true
language: en
distribution: data matrix.tab
distribution: FileObject
  type: DataDownload
  encoding format: text/html

Peter Selsam
type: Person
family name: Selsam
given name: Peter
affiliation: Helmholtz Centre for Environmental Research - UFZ

Helmholtz Centre for Environmental Research - UFZ
type: Organization
alternate name: UFZ

Angela Lausch
type: Person
family name: Lausch
given name: Angela
affiliation: Helmholtz Centre for Environmental Research - UFZ

Jan Bumberger
type: Person
family name: Bumberger
given name: Jan
affiliation: Helmholtz Centre for Environmental Research - UFZ

Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys
type: CreativeWork
type: ScholarlyArticle
creator: Peter Selsam
creator: Jan Bumberger
creator: Thilo Wellmann
creator: Marion Pause
creator: Ronny Gey
creator: Erik Borg
creator: Angela Lausch
date published: 2024
pagination: 1139
is part of: Remote Sensing
  type: Periodical
  type: PublicationVolume
  volume number: 16(7)
additional type: journal article

Thilo Wellmann
type: Person
family name: Wellmann
given name: Thilo

Marion Pause
type: Person
family name: Pause
given name: Marion

Ronny Gey
type: Person
family name: Gey
given name: Ronny

Erik Borg
type: Person
family name: Borg
given name: Erik

Imalys - Image Analysis
type: CreativeWork
type: SoftwareApplication
creator: Peter Selsam
creator: Ronny Gey
creator: Angela Lausch
creator: Jan Bumberger
date published: 2023
source organization: Zenodo
additional type: software

Imalys – ESIS tool for Image Analysis
type: CreativeWork
creator: Peter Selsam
date published: 2024
additional type: other

Blattschnitt der Topographischen Karte 1:100 000 (TK100) (b100)
type: CreativeWork
type: WebPage

Area
type: DefinedTerm

Time
type: DefinedTerm
alternate name: T

data matrix.tab
type: FileObject
type: DataDownload
encoding format: text/tab-separated-values