SWACI is a research project of DLR supported by the State Government of Mecklenburg-Vorpommern. Radio signals, transmitted by modern communication and navigation systems may be heavily disturbed by space weather hazards. Thus, severe temporal and spatial changes of the electron density in the ionosphere may significantly degrade the signal quality of various radio systems which even may lead to a complete loss of the signal. By providing specific space weather information, in particular now- and forecast of the ionospheric state, the accuracy and reliability of impacted communication and navigation systems shall be improved. Small scale irregularities of the ionospheric plasma may cause fluctuations of the signal strength of radio waves. The S4-Index is a measure to describe the amplitude- respectively the intensity fluctuations of a signal. The σφ-Index, describes the behaviour of carrier phase fluctuations. Both indices are calculated over a one minute interval. DLR’s high rate GNSS measurement network ranges from auroral to equatorial latitudes. The measurements are provided in near real time by DLR’s Experimentation and Verification Network (EVnet) [Noack et al., 2004, 2005]. We thank the hosting institutes for supplying the required infrastructure.
The dataset is based on an analysis combining Sentinel-1 (SAR), -2 (Multispectral) and GEDI (Global Ecosystem Dynamics Investigation, LiDAR) data to model vegetation structure information. The derived products show high-spatial resolution maps (10 m) of total canopy cover (cover density in %), Foliage height diversity (Fhd) index in meter, Plant area index (Pai) in meter and canopy height (rh95) in meter.
The Medium Resolution Imaging Spectrometer (MERIS) on Board ESA’s ENVISAT provides spectral high resolution image data in the visible-near infrared spectral region (412-900 nm) at a spatial resolution of 300 m. For more details on ENVISAT and MERIS see http://envisat.esa.int/ Spectral high resolution measurements allow to assess different water constituents in optically complex case-2 waters (IOCCG, 2000). The main groups of constituents are Chlorophyll, corresponding to living phytoplankton, suspended minerals or sediments and dissolved organic matter. They are characterised by their specific inherent optical properties, in particular scattering and absorption spectra. The Baltic Sea Water Constituents product was developed in a co-operative effort of DLR (Remote Sensing Technology Institute IMF, German Remote Sensing Data Centre DFD), Brockmann Consult (BC) and Baltic Sea Research Institute (IOW) in the frame of the MAPP project (MERIS Application and Regional Products Projects). The data are processed on a regular (daily) basis using ESA standard Level-1 and -2 data as input and producing regional specific value added Level-3 products. The regular data reception is realised at DFD ground station in Neustrelitz. For more details the reader is referred to http://wdc.dlr.de/sensors/meris/ and http://wdc.dlr.de/sensors/meris/documents/Mapp_ATBD_final_i3r0dez2001.pdf This product provides seasonal maps.
The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational NO2 total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV / VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. The operational ozone total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV / VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. The new improved DOAS-style (Differential Optical Absorption Spectroscopy) algorithm called GDOAS, was selected as the basis for GDP version 4.0 in the framework of an ESA ITT. GDP 4.x performs a DOAS fit for ozone slant column and effective temperature followed by an iterative AMF / VCD computation using a single wavelength. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/
This land cover classification of Germany was created using Sentinel-2 imagery from the years 2015 to 2017 and LUCAS 2015 in-situ reference data (https://ec.europa.eu/eurostat/web/lucas). It contains seven land cover types: (1) artificial land, (2) open soil, (3) high seasonal vegetation, (4) high perennial vegetation, (5) low seasonal vegetation, (6) low perennial vegetation and (7) water with a spatial resolution of 10m x 10m. For further information, please see the following publication: https://doi.org/10.1016/j.jag.2020.102065
F-SAR, “Flugzeug-SAR”, is an airborne high-resolution imaging radar (Synthetic Aperture Radar) sensor presently operated by the German Aerospace Center (DLR), Microwaves and Radar Institute (HR) since November 02, 2006. It is operated on a Dornier Do-228 aircraft from altitudes of 2000 to 6000 m above ground in five different center frequency bands (X,C,S,L,P). Wavelengths range from 3 cm, 5 cm, 9 cm, 23 cm to 67 cm. Ka-band (1 cm wavelength) is planned to be added. Up to four center-frequencies (X,S,L,P) or (X,C,L,P) can be operated simultaneously per overflight. All frequencies are fully polarimetric (HH,HV,VV,VH) and have full repeat-pass capabilities. Single-pass interferometry in along-track (ATI) and across-track mode is available in X-band (ATI and/or XTI) and S-band (XTI). Data are processed up to three different levels: RGI (Radar Geometry Image product), INF (Repeat-pass-interferometric product) and GTC (Geocoded and Terrain-Corrected product). Resolutions range from 25 cm (X-band) to 1.5 m (P-band) in both azimuth and range direction. Data acquisition modes are typically “stripmap”, “repeat-pass” (two parallel tracks), “tomography” (several parallel tracks), ”circular” (one circle) or “circular-tomography” (several vertically distributed circles). Individually planned experiments can also be supported. For more information concerning F-SAR data, the reader is referred to: www.dlr.de/hr/f-sar
DBFSAR, "Digital Beam Forming SAR", is an airborne very-high-resolution imaging radar (Synthetic Aperture Radar) sensor presently operated by the German Aerospace Center (DLR), Microwaves and Radar Institute (HR) since November 29, 2016. It is operated on a Dornier Do-228 aircraft from altitudes of 2000 to 6000 m above ground in X-band (3 cm wavelength) only, featuring four transmit (operated sequentially) and twelve parallel receive channels. Depending on antenna deployment, it is either fully polarimetric (HH,HV,VV,VH), inetrferomtric in along- and/or across-track mode, or can be operated as a digital beamforming SAR. It has full repeat-pass capabilities. Data are processed up to three different levels: RGI (Radar Geometry Image product), INF (Interferometric product) and GTC (Geocoded and Terrain-Corrected product). The data acquisition modes are selected based on the individually planned experiments. Achieved resolutions are presently 10 cm in azimuth and 17 cm in range but will go down significantly below 10 cm in both directions.
This dataset includes the normalized difference vegetation index (NDVI) derived from Sentinel-2 imagery. Using the Google Earth Engine, all granules with a cloud cover below 60% were used as input. Cloudy pixels (referring to quality layer QA60) were masked as well. Eventually, a median mosaic was composed over the whole observation period. It was also used as input for a land cover classification (see: Land Cover DE - Sentinel-2 - Germany, 2015).
This collection contains radar image products of the German national TerraSAR-X mission acquired in StripMap mode. StripMap imaging allows for a spatial resolution of up to 3 m at a scene size of 30 km (across swath) x 50-1650 km (in orbit direction). TerraSAR-X is a sun-synchronous polar-orbiting, all-weather, day-and-night X-band radar earth observation mission realized in the frame of a public-private partnership between the German Aerospace Center (DLR) and Airbus Defence and Space. For more information concerning the TerraSAR-X mission, the reader is referred to: https://www.dlr.de/content/de/missionen/terrasar-x.html
This collection contains radar image products of the German national TerraSAR-X mission acquired in ScanSAR mode. ScanSAR imaging allows for a spatial resolution of up to 18.5 m at a scene size of 100 km (across swath) x 150-1650 km (in orbit direction) in regular ScanSAR mode (4 beams) and up to 270 km (across swath) x 200-1500 km (in orbit direction) in Wide ScanSAR mode (6 beams). TerraSAR-X is a sun-synchronous polar-orbiting, all-weather, day-and-night X-band radar earth observation mission realized in the frame of a public-private partnership between the German Aerospace Center (DLR) and Airbus Defence and Space. For more information concerning the TerraSAR-X mission, the reader is referred to: https://www.dlr.de/content/de/missionen/terrasar-x.html
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