The EnMAP HSI L2A dataset collection comprises a standardized, consistent, systematically processed, and cloud-native level-2A dataset series for the entire mission. It is especially useful for big data or time series analyses. The dataset is processed with the atmospheric correction over land processor and is provided in cloud-optimized GeoTIFF format for direct access and download. The metadata follows the CEOS Analysis Ready Data (CEOS-ARD) framework. The database is constantly updated with newly acquired data. The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that monitors and characterizes Earth’s environment on a global scale. EnMAP delivers accurate data that provides information on the status and evolution of terrestrial and aquatic ecosystems, supporting environmental monitoring, management, and decision-making. For more information, please see the mission website: https://www.enmap.org/mission/

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 daily binary layers in this collection contain information whether a pixel was detected as open surface water (1) or not (0). Furthermore, reliability and observation layers provide additional information on the quality of each Global WaterPack pixel.

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. This collection includes monthly composites of the dataset with information on how often a pixel was detected as open surface water with pixel values between 0 and 31. Furthermore, a reliability layer provides information on the quality of each Global WaterPack pixel.

The EnMAP HSI L0 Quicklooks collection contains the VNIR and SWIR quicklook images as well as the quality masks for haze, cloud, or snow; based on the latest atmospheric correction methodology of the land processor. It allows users to get an overview which L0 data has been acquired and archived since the operational start of the EnMAP mission and which data is potentially available for on-demand processing into higher level products with specific processing parameters via the EOWEB-GeoPortal. The database is constantly updated with newly acquired L0 data. The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that monitors and characterizes Earth’s environment on a global scale. EnMAP delivers accurate data that provides information on the status and evolution of terrestrial and aquatic ecosystems, supporting environmental monitoring, management, and decision-making. For more information, please see the mission website: https://www.enmap.org/mission/

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. This collection includes yearly composites of the dataset with information on how often a pixel was detected as open surface water with pixel values between 0 and 365 (366 for leap years). Furthermore, a reliability layer provides information on the quality of each Global WaterPack pixel.

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/mission/

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 120 m to 500 m a global Digital Elevation Model (DEM) has been generated. The TanDEM-X 30m EDEM is a product variant of the global Digital Elevation Model (DEM) acquired in the frame of the German TanDEM-X mission between 2010 and 2014, and has a reduced pixel spacing of 1 arcseconds (arsec), which corresponds to 30m at the equator. An automated edition was developed by the Microwaves and Radar Institute at the German Aerospace Center (DLR) to have a full and clean coverage of all Earth’s landmasses from pole to pole.

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)