Satellite Color Images, Vegetation Indices, and Metabolism Indices from Bayreuth, Germany from 1985 – 2023
العنوان: | Satellite Color Images, Vegetation Indices, and Metabolism Indices from Bayreuth, Germany from 1985 – 2023 |
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المؤلفون: | Selsam, Peter, Lausch, Angela, Bumberger, Jan |
المصدر: | Helmholtz Centre for Environmental Research - UFZ |
بيانات النشر: | PANGAEA |
سنة النشر: | 2025 |
المجموعة: | PANGAEA - Data Publisher for Earth & Environmental Science (AWI Bremerhaven / MARUM Bremen) |
مصطلحات موضوعية: | Area/locality, c6334, Date/time end, Date/time start, ecosystem transitions, ESIS_Bayreuth, File content, File type, Geospatial vector, shapefiles, Germany, Image segmentation, indicators, Landsat 5, Landsat 6, Landsat 8, Landsat 9, Landscape pattern, Landscape structure, NDVI, NIRv, Raster graphic, GeoTIFF format, Remote sensing, Site information, Vegetation index, Year of observation |
جغرافية الموضوع: | MEDIAN LATITUDE: 49.798894 * MEDIAN LONGITUDE: 11.665239 * SOUTH-BOUND LATITUDE: 49.598915 * WEST-BOUND LONGITUDE: 11.331951 * NORTH-BOUND LATITUDE: 49.998874 * EAST-BOUND LONGITUDE: 11.998526 * DATE/TIME START: 1985-05-01T00:00:00 * DATE/TIME END: 2023-10-31T00:00:00 |
الوصف: | 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 ... |
نوع الوثيقة: | dataset |
وصف الملف: | text/tab-separated-values, 1752 data points |
اللغة: | English |
Relation: | https://doi.pangaea.de/10.1594/PANGAEA.967266; Selsam, Peter; Bumberger, Jan; Wellmann, Thilo; Pause, Marion; Gey, Ronny; Borg, Erik; Lausch, Angela (2024): Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys. Remote Sensing, 16(7), 1139, https://doi.org/10.3390/rs16071139; Selsam, Peter; Gey, Ronny; Lausch, Angela; Bumberger, Jan (2023): Imalys - Image Analysis [software]. Zenodo, https://doi.org/10.5281/ZENODO.8116370; Selsam, Peter (2024): Imalys – ESIS tool for Image Analysis. https://github.com/c7sepe2/Imalys_ESIS-Software-Tools; Selsam, Peter (2024): D-Mosaic (1984-2023) - data description. 3, https://download.pangaea.de/reference/125290/attachments/D-Mosaik_Data-Description.pdf; Blattschnitt der Topographischen Karte 1:100 000 (TK100) (b100) (URI: https://gdz.bkg.bund.de/index.php/default/blattschnitt-der-topographischen-karte-1-100-000-tk100-b100.html); https://doi.pangaea.de/10.1594/PANGAEA.972194 |
DOI: | 10.1594/PANGAEA.972194 |
الاتاحة: | https://doi.pangaea.de/10.1594/PANGAEA.972194 |
Rights: | CC-BY-4.0: Creative Commons Attribution 4.0 International ; Access constraints: unrestricted ; info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.471741CE |
قاعدة البيانات: | BASE |
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