The Global WaterPack is a dataset containing information about open surface water cover parameters on a global scale. The water detection is derived from daily, operational MODIS datasets for every year since 2003. The negative effects of polar darkness and cloud coverage are compensated by applying interpolation processing steps. Thereby, a unique global dataset can be provided that is characterized by its high temporal resolution of one day and a spatial resolution of 250 meter.

The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission to monitoring and characterise Earth’s environment on a global scale. EnMAP measures and models key dynamic processes of Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters that provide information on the status and evolution of various terrestrial and aquatic ecosystems. The mission’s main objective is to study and decipher coupled environmental processes and to assist and promote the sustainable management of Earth’s resources. This collection includes Level 0 quicklook images of the mission. For more information, please see the mission website: https://www.enmap.org/

TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurements) is an Earth observation radar mission that consists of a SAR interferometer built by two almost identical satellites flying in close formation. With a typical separation between the satellites of 120m to 500m a global Digital Elevation Model (DEM) has been generated. The main objective of the TanDEM-X mission is to create a precise 3D map of the Earth's land surfaces that is homogeneous in quality and unprecedented in accuracy. The data acquisition was completed in 2015 and production of the global DEM was completed in September 2016. The absolute height error is with about 1m an order of magnitude below the 10m requirement. The TanDEM-X 30m DEM is a product variant of the global Digital Elevation Model (DEM) acquired in the frame of the German TanDEM-X mission between 2010 and 2015, and has a reduced pixel spacing of 1 arcsecond (30m at the equator). It covers all Earth’s landmasses from pole to pole. For more information concerning the TanDEM-X mission, the reader is referred to: https://www.dlr.de/dlr/en/desktopdefault.aspx/tabid-10378/

TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurements) is an Earth observation radar mission that consists of a SAR interferometer built by two almost identical satellites flying in close formation. With a typical separation between the satellites of 120m to 500m a global Digital Elevation Model (DEM) has been generated. The main objective of the TanDEM-X mission is to create a precise 3D map of the Earth's land surfaces that is homogeneous in quality and unprecedented in accuracy. The data acquisition was completed in 2015 and production of the global DEM was completed in September 2016. The absolute height error is with about 1m an order of magnitude below the 10m requirement. The TanDEM-X 12m DEM is the nominal product variant of the global Digital Elevation Model (DEM) acquired in the frame of the German TanDEM-X mission between 2010 and 2015 with a spatial resolution of 0.4 arcseconds (12m at the equator). It covers all Earth’s landmasses from pole to pole. For more information concerning the TanDEM-X mission, the reader is referred to: https://www.dlr.de/dlr/en/desktopdefault.aspx/tabid-10378/

Overview: Daily maps for global daylight length, calculated for the year 2022. Processing steps: For each day within the year 2022, the photoperiod (sunshine hours on flat terrain) are calculated using the SOLPOS algorithm developed by the National Renewable Energy Laboratory (NREL), USA. Resultant values have been converted from hours to minutes. File naming scheme (DDD = day within year) (min is abbreviation for minute): daylight_min_2022_DDD.tif Projection + EPSG code: Latitude-Longitude/WGS84 (EPSG: 4326) Spatial extent: north: 90 south: -90 west: -180 east: 180 Spatial resolution: 30 arc seconds (approx. 1000 m) Temporal resolution: Daily Pixel values: unit: minutes Software used: GDAL 3.2.2 and GRASS GIS 8.2.0 Processed by: mundialis GmbH & Co. KG, Germany (https://www.mundialis.de/) Reference: National Renewable Energy Laboratory (NREL): SOLPOS 2.0 sun position algorithm (https://www.nrel.gov/grid/solar-resource/solpos.html)

The SkySat constellation is comprised of 21 micro satellites with a size of 60 x 60 x 80 cm. SkySats can be tasked to acquire panchromatic and multispectral images of the Earth in high resolution (up to 50 centimeter) and at sub-daily frequency. They can also capture stereo imagery and video footage for up to 90 seconds. The first SkySat was launched in 2013, whereas higher resolution SkySat-C generation satellites were first launched in 2016. The SkySat constellation is owned and operated by Planet. The SkySat imagery of this collection covers specific test sites. The data has been purchased by the German Space Agency with funds from the Ministry of Economy and is available for Germany-based researchers for scientific use. The data collection is maintained by the German Satellite Data Archive (D-SDA) of DLR’s Earth Observation Center and can be accessed via the EOWEB Geoportal. This collection comprises SkySat Collect products. The Ortho Collect product is created by composing SkySat Ortho Scenes along an imaging strip into segments typically unifying approximately 60 SkySat Ortho Scenes. It includes multispectral (BGRN) as well as the panchromatic (PAN) assets. Radiometric corrections to correct for any sensor artifacts and transformation to top-of-atmosphere radiance are applied. If available, the atmospherically corrected Surface Reflectance layer is included. For more details see: https://assets.planet.com/docs/Planet_Combined_Imagery_Product_Specs_letter_screen.pdf

The PlanetScope satellite constellation, called ‘Flock’, consists of multiple launches of groups of individual Dove satellites into a 400 km orbit. Some of them were launched from the ISS. Therefore, on-orbit capacity is constantly improving in capability or quantity. Each Dove satellite is a CubeSat with a size of 10 x 10 x 34 cm. The complete PlanetScope constellation of approximately 130 satellites is able to image the entire land surface of the Earth every day, equating to a daily collection capacity of 200 million km². In 2014 the first Dove satellites started operationally acquiring images from the earth’s surface. The optical sensors mounted on the individual Dove satellites operate in the visual and near-infrared parts of the electromagnetic spectrum with a spatial resolution between 3 and 5 meters. A third generation of PlanetScope sensors (known as SuperDove or PSB.SD) is currently in orbit and is producing limited quantities of imagery with 5 spectral bands (BGRNIR + Red Edge). These satellites have the potential to produce imagery with 8 separate spectral bands. The RapidEye Science Archive (RESA), which allows Germany-based researchers to apply for free PlanetScope imagery, is operated by the German Satellite Data Archive (D-SDA) of DLR’s Earth Observation Center and can be accessed via the EOWEB Geoportal. New PlanetScope data as well as archive data which is not yet part of the RESA collections can be applied for at Planet Labs Germany GmbH under the RESA contract. For more information see: https://www.planet.com/resa/ This collection comprises the PlanetScope L3A OrthoTile products which are orthorectified as individual 25 km by 25 km tiles referenced to a fixed, standard image tile grid system. The OrthoTile products are radiometrically-, sensor-, and geometrically-corrected and aligned to a cartographic map projection. The Surface Reflectance layer which corrects for the effects of the Earth's atmosphere is included in the product.

The RapidEye Earth observation system comprised five satellites equipped with high-resolution optical sensors. Co-funded by the German Federal Government, the fleet of satellites was launched from the Baikonur cosmodrome in Kazakhstan in 2008. RapidEye is owned by Planet Labs, Inc. It has been operated by Planet Labs Germany GmbH until the constellation was retired in March 2020. With all 5 satellites arranged in one orbit the RapidEye constellation was capable of taking images of the Earth's surface at high repeat rates with a maximum of 5 million km² per day. With a spatial resolution of 6.5m the 5-band sensors onboard the RapidEye satellites operated in the visible and near-infrared portions of the electromagnetic spectrum. For more information see: https://www.dlr.de/rd/en/desktopdefault.aspx/tabid-2440/3586_read-5336/ The PlanetScope data of this collection has been purchased by the German Space Agency with funds from the Ministry of Economy and is available for Germany-based researchers for scientific use. The data collection is maintained by the German Satellite Data Archive (D-SDA) of DLR’s Earth Observation Center and can be accessed via the EOWEB Geoportal. The RapidEye Analytic Ortho Tile (L3A) product is orthorectified, multispectral data and is suitable for many data science and analytic applications that require imagery with an accurate geolocation and cartographic projection. It eliminates the perspective effect on the ground (not on buildings), restoring the geometry of a vertical shot. In addition to orthorectification, the imagery has radiometric corrections applied to correct for any sensor artifacts and transformation to at-sensor radiance. For more details see: https://assets.planet.com/docs/Planet_Combined_Imagery_Product_Specs_letter_screen.pdf

This product consists of global gap free Leaf area index (LAI) time series, based on MERIS full resolution Level 1B data. It is produced as a series of 10-day composites in geographic projection at 300m spatial resolution. The processing chain comprises geometric correction, radiometric correction and pixel identification, LAI calculation with the BEAM MERIS vegetation processor, re-projection to a global grid, and temporal aggregation selecting the measurement closest to the mean value. After the LAI pre-processing we applied time series analysis to fill data gaps and filter outliers using the technique of harmonic analysis in combination with mean annual and multiannual phenological data. Data gaps are caused by clouds, sensor limitations due to the solar zenith angle (less than 10 degrees), topography and intermittent data reception. We applied our technique for the whole period of observation (Jul 2002 - Mar 2012). Validation, was performed using VALERI and BigFoot data.

The PlanetScope satellite constellation, called ‘Flock’, consists of multiple launches of groups of individual Dove satellites into a 400 km orbit. Some of them were launched from the ISS. Therefore, on-orbit capacity is constantly improving in capability or quantity. Each Dove satellite is a CubeSat with a size of 10 x 10 x 34 cm. The complete PlanetScope constellation of approximately 130 satellites is able to image the entire land surface of the Earth every day, equating to a daily collection capacity of 200 million km². In 2014 the first Dove satellites started operationally acquiring images from the earth’s surface. The optical sensors mounted on the individual Dove satellites operate in the visual and near-infrared parts of the electromagnetic spectrum with a spatial resolution between 3 and 5 meters. A third generation of PlanetScope sensors (known as SuperDove or PSB.SD) is currently in orbit and is producing limited quantities of imagery with 5 spectral bands (BGRNIR + Red Edge). These satellites have the potential to produce imagery with 8 separate spectral bands. The PlanetScope data of this collection has been purchased by the German Space Agency with funds from the Ministry of Economy and is available for Germany-based researchers for scientific use. The data collection is maintained by the German Satellite Data Archive (D-SDA) of DLR’s Earth Observation Center and can be accessed via the EOWEB Geoportal. This collection comprises PlanetScope L1B Basic Scene 3-band natural color RGB products. The PlanetScope Basic Scene product is a Scaled Top of Atmosphere Radiance (at sensor) and sensor corrected product, providing imagery as seen from the spacecraft without correction for any geometric distortions inherent in the imaging process. It has a scene-based framing, and is not mapped to a cartographic projection.