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.
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.
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.
Die Gutachtlichen Landschaftsrahmenpläne (GLRP) sind nach § 12 Abs. 2 des Landesnaturschutzgesetzes durch das Landesamt für Umwelt, Naturschutz und Geologie (LUNG) aufzustellen und fortzuschreiben. Sie werden für die vier Planungsregionen (PR) des Landes Mecklenburg-Vorpommern aufgestellt: Westmecklenburg (PR 1), Mittleres Mecklenburg/Rostock (PR 2), Vorpommern (PR 3), Mecklenburgische Seenplatte (PR 4). In den GLRP werden die Ziele und Maßnahmen des Naturschutzes und der Landschaftspflege einschließlich der Vorsorge für die Erholung des Menschen in Natur und Landschaft flächendeckend erarbeitet, dargestellt und begründet. Der GLRP nimmt zunächst eine umfassende Analyse des gegenwärtigen Zustands der Naturgüter Boden, Wasser, Klima/Luft, Arten und Lebensräume, Landschaftsbild und landschaftliche Freiräume vor. Aus der Analyse des Zustands und den erkennbaren Entwicklungstendenzen werden anhand der aufgestellten Leitbilder und Qualitätsziele die Erfordernisse und Maßnahmen zur Sicherung des Biotopverbundes, der ökologischen Funktionen sowie der Erholungsfunktionen der Landschaft hergeleitet. Neben einem ausführlichen Textteil enthalten die GLRP umfangreiches Kartenmaterial (in der zweiten Ausgabe etwa 20 Textkarten im Übersichtsmaßstab sowie 6 Planungskarten im Maßstab 1:100.000). Die raumbedeutsamen Inhalte der GLRP werden nach einer Abwägung mit anderen Belangen in die Regionalen Raumentwicklungsprogramme (RREP) übernommen. Weiterhin sollen die GLRP von Behörden und anderen öffentlichen Stellen, deren Tätigkeit sich auf Natur und Landschaft auswirkt, beachtet werden.
Die GLRP für die vier Planungsregionen des Landes wurden erstmalig in den Jahren 1996 bis 1998 veröffentlicht (erste Ausgabe).
Der GLRP Mittleres Mecklenburg/Rostock wurde ab Oktober 2004 fortgeschrieben und nach Durchführung eines breit angelegten Beteiligungsverfahrens im April 2007 in einer zweiten Ausgabe fertiggestellt.
Der GLRP Westmecklenburg wurde ab Oktober 2006 fortgeschrieben. Für den Entwurf Stand April 2008 wird im Mai/Juni 2008 das Beteiligungsverfahren durchgeführt. Voraussichtlich Ende 2008 wird die Endfassung der zweiten Ausgabe des GLRP Westmecklenburg veröffentlicht.
Die Erarbeitung der Fortschreibung des GLRP Vorpommern begann im Sommer 2007. Ein Beteiligungsexemplar wird voraussichtlich Anfang bis Mitte des Jahres 2009 vorliegen.