This collection contains Sentinel-2 Level 2A surface reflectances, which are computed for the country of Germany using the time-series based MAJA processor. During the Level 2A processing, the data are corrected for atmospheric effects and clouds and their shadows are detected. The MAJA L2A product is available online for the last 12 months. Further data are kept in the archive and are available upon request. Please see https://logiciels.cnes.fr/en/content/maja for additional information on the MAJA product. The MAJA product offers an alternative to the official ESA L2A product and has been processed with consideration of the characteristics of the Sentinel-2 mission (fast collection of time series, constant sensor perspective, and global coverage). Assumptions about the temporal constancy of the ground cover are taken into account for a robust detection of clouds and a more flexible determination of aerosol properties. As a result, an improved determination of the reflectance of sunlight at the earth's surface (pixel values of the multispectral image) is derived. Further Sentinel-2 Level 2A data computed using MAJA are available on the following website: https://theia.cnes.fr
This collection contains synthesized Sentinel-2 Level 3A surface reflectances for Germany on a monthly basis computed by the WASP processor (which utilizes L2A products derived from the MAJA processor). During the Level 3A processing, atmospherically corrected data from a predefined time interval are collected, weighted based on temporal distance and integrated to a new data set with the aim of removing clouds. Thereby, monthly Sentinel-2 Level 3A composites are provided for whole Germany. Please see https://logiciels.cnes.fr/en/content/maja for additional information on the MAJA product. Further Sentinel-2 Level 3A data computed using MAJA are available on the following website: https://theia.cnes.fr
This raster dataset shows the main type of crop grown on each field in Germany each year. Crop types and crop rotation are of great economic importance and have a strong influence on the functions of arable land and ecology. Information on the crops grown is therefore important for many environmental and agricultural policy issues. With the help of satellite remote sensing, the crops grown can be recorded uniformly for whole Germany. Based on Sentinel-1 and Sentinel-2 time series as well as LPIS data from some Federal States of Germany, 18 different crops or crop groups were mapped per pixel with 10 m resolution for Germany on an annual basis since 2018. These data sets enable a comparison of arable land use between years and the derivation of crop rotations on individual fields. More details and the underlying (in the meantime slightly updated) methodology can be found in Asam et al. 2022.
Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project „Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany“ (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices. Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword ‘mDRONES4rivers‘. In this dataset, the following UAS data and metadata of the project site ‘Reitwein’ (center coordinates [WGS84]: 52.500961°N, 14.629186 °E; area: 60 ha) at the River Oder in Germany is available for download: • Multispectral orthophotos (GeoTiff; 6 bands: B, G, R, Red-Edge, NIR, Flag; camera: Micasense; resolution: 25 cm; abbreviation: MS_RAW) • RGB-orthophotos (GeoTiff; 3 bands: R, G, B; camera: Phantom; resolution: 25 cm; abbreviation: PH_ORTHO) • Digital Surface Models (GeoTiff; 1 band; camera: Phantom; resolution: ca. 5 cm; abbreviation: PH_DEM) • associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface model) The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition and flight altitude, as the data was collected here from two different flight altitudes (e.g. mDRONES4rivers_RW_UAV_2020_03_summer_70m.zip = projectname_projectsite_platform_year_no.season_name.season_flightaltitude.zip). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder: • Overview table and metadata of the above-mentioned data (xlsx) • Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface models) Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail.
Das Mosaik ermöglicht den Bedarfsträgern aufbereitete Fernerkundungsinformationen aus dem Erdbeobachtungsprogramm Copernicus für das Gebiet Thüringen in bestehende Fachverfahren einzubinden. Die Bilddaten werden ab dem Jahr 2018 in jeweils drei Aufnahmezeiträumen (Frühjahr, Sommer und Herbst) zu einem Mosaik zusammengefügt, welches eine Bodenauflösung von 10m hat und als Komposit aus drei Bändern (R, G und B) angeboten wird. Die Daten stehen momentan als Web Map Service zur Verfügung. Verwendungsmöglichkeiten für das Mosaik sind: Visualisierungen für eigene Dienste und kartographische Anwendungen, Kartierungs- und Aktualisierungsunterstützung von Landbedeckungen, 3D-Flugsimulationen in Verbindung mit Höheninformationen (DGM, DOM).
Das Bundesamt für Kartographie und Geodäsie (BKG) hat ein Verfahren zur bedarfsbezogenen Bereitstellung von Fernerkundungsdaten entwickelt. Für die fernerkundliche Produktion werden derzeit optische Satellitenbilddaten in der Bundesverwaltung bevorzugt eingesetzt. Hierfür ist das sogenannte Mosaik-Verfahren eine wichtige Methode. Das Verfahren wurde mit den von der EU finanzierten Sentinel-2- Daten der europäischen Erdbeobachtungsinitiative Copernicus aufgebaut und kann für jeden optischen Datensatz (inkl. Luftbilder) angewendet werden. Wir stellen mit dieser Methode einen Service zur Verfügung, über den sich optische Fernerkundungsdaten für jedes Gebiet auf der Erde fachlich und bedarfsorientiert aufbereiten lassen. Über den Dienst Web Map Service (WMS) Sen2Europe wird den Bedarfsträgern ermöglicht, vorprozessierte und aufbereitete Fernerkundungsinformationen aus dem Erdbeobachtungsprogramm Copernicus (Sentinel-2, L1C-L2A), für Europa, in bestehende eigene Fachverfahren mit einzubinden. Die Bilddaten des Jahres 2021 wurden jeweils zu einem Mosaik zusammengefügt, welches eine Bodenauflösung von 10m hat. Ein Komposit aus drei Bändern (Sentinel-2 Bänder: 2, 3, 4 (R, G, B)) sowie eine Information zu den Eingangsbilddaten werden angeboten. Die Bilddaten wurden einem radiometrischen Farbausgleichsverfahren unterzogen um ein einheitliches Erscheinungsbild zu erlangen. Für jedes Mosaik beträgt die Wolkenbedeckung über das gesamte Gebiet weniger als 3%. Über den Request-Parameter TIME kann hier gezielt ein spezifischer Jahresstand angezeigt werden (z.B. Time=2018) (ohne TIME-Parameter wird der neueste Stand angezeigt). Die nachfolgende URL des freien Webdienstes können Sie direkt, z.B. in Ihrem Geo-Informationssystem (GIS), verwenden:https://sgx.geodatenzentrum.de/wms_sen2europe
Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project „Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany“ (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices. Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword ‘mDRONES4rivers‘. In this dataset, the following UAS data and metadata of the project site ‘Kuehkopf Knoblochsaue’ (center coordinates [WGS84]: 49.830564°N, 8.383341°E; area: 48 ha) at the Rhine River in Germany is available for download: • Multispectral orthophotos (GeoTiff; 6 bands: B, G, R, Red-Edge, NIR, Flag; camera: Micasense; resolution: 25 cm; abbreviation: MS_RAW) • RGB-orthophotos (GeoTiff; 3 bands: R, G, B; camera: Phantom; resolution: 25 cm; abbreviation: PH_ORTHO) • Digital Surface Models (GeoTiff; 1 band; camera: Phantom; resolution: ca. 5 cm; abbreviation : PH_DEM) • associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface model) The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_NW_2019_01_Winter.zip = projectname_projectsite_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder: • Overview table and metadata of the above-mentioned data (xlsx) • Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface models) Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail.
Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project „Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany“ (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices. Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword ‘mDRONES4rivers‘. In this dataset, the following UAS data and metadata of the project site ‘Laubenheim’ (center coordinates [WGS84]: 49.960007°N, 8.331229°E; area: 11 ha) at the Rhine River in Germany is available for download: • Multispectral orthophotos (GeoTiff; 6 bands: B, G, R, Red-Edge, NIR, Flag; camera: Micasense; resolution: 25 cm; abbreviation: MS_RAW) • RGB-orthophotos (GeoTiff; 3 bands: R, G, B; camera: Phantom; resolution: 25 cm; abbreviation: PH_ORTHO) • Digital Surface Models (GeoTiff; 1 band; camera: Phantom; resolution: ca. 5 cm; abbreviation: PH_DEM) • associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface model) The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_NW_UAV_2019_01_Winter.zip = projectname_projectsite_platform_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder: • Overview table and metadata of the above-mentioned data (xlsx) • Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface models) Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail.
Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project „Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany“ (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices. Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword ‘mDRONES4rivers‘. In this dataset, the following UAS data and metadata of the project site ‘Emmericher Ward’ (center coordinates [WGS84]: 50.385264°N, 6.198692°E; area: 53ha) at the Rhine River in Germany is available for download: • Multispectral orthophotos (GeoTiff; 6 bands: B, G, R, Red-Edge, NIR, Flag; camera: Micasense; resolution: 25 cm; abbreviation: MS_RAW) • RGB-orthophotos (GeoTiff; 3 bands: R, G, B; camera: Phantom; resolution: 25 cm; abbreviation: PH_ORTHO) • Digital Surface Models (GeoTiff; 1 band; camera: Phantom; resolution: ca. 5 cm; abbreviation: PH_DEM) • associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface model) The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_EW_UAV_2019_01_Winter.zip = projectname_projectsite_platform_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder: • Overview table and metadata of the above-mentioned data (xlsx) • Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos, 1x for RGB-orthophotos + digital surface models) Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail.
Spatially and temporally high-resolution data was acquired with the aid of multispectral sensors mounted on UAV and a gyrocopter platform for the purpose of classification. The work was part of the research and development project „Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in Germany“ (mDRONES4rivers) in cooperation of the German Federal Institute of Hydrology (BfG), Geocoptix GmbH, Hochschule Koblenz und JB Hyperspectral Devices. Within the project period (2019-2022) data was collected at different sites situated in Germany along the Rivers Rhine and Oder. All published data produced within the project can be found by searching for the keyword ‘mDRONES4rivers‘. In this dataset, the following UAS data and metadata of the project site ‘Nonnenwerth’ (center coordinates [WGS84]: 50.637541°N, 7.208834°E; area: 45 ha) at the Rhine River in Germany is available for download: • Multispectral orthophotos (GeoTiff; 5 bands: B, G, R, NIR, Flag; camera system: PanX 2.0 and PanX 3.0; resolution: ca. 30 cm/ca. 16 cm; abbreviation: PanX2_ORTHO/PanX3_ORTHO) • Digital Surface Models (GeoTiff; 1 band; camera system: PanX 2.0 and PanX 3.0; resolution: ca. 30 cm; abbreviation: PanX_DEM) • associated Technical Reports (PDF; technical metadata concerning data acquisition, and processing using Agisoft Metashape, 1x for multispectral orthophotos + digital surface model) The above-mentioned files are provided for download as dataset stored in one directory per season depending on the date of data acquisition (e.g. mDRONES4rivers_NW_GYRO_2019_01_Winter.zip = projectname_projectsite_platform_year_no.season_name.season). To provide an overview of all files and general background information plus data preview the following files are stored in the info.zip folder: • Overview table and metadata of the above-mentioned data (xlsx) • Summary (PDF, Detailed description of sensors and data acquisition procedure, 1x for multispectral orthophotos + digital surface models) Note: the data was processed with focus on spectral information and not for geodetic purposes. Georeferencing accuracy has not been checked in detail.