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Release of the UrMo Digital Traffic Area Map for Braunschweig, Germany

Posted on Aug 1, 2022 by Administrator

The Traffic Area Map is a dataset providing information about the inventory of different traffic areas for the city of Brunswick, Germany. The map is based on aerial image sequences acquired with the DLR 3K camera system during six flight campaigns at different times of the day and year in 2019 and 2020. The dataset is now available in the EOC Geoservice Webapp [1] and can also be downloaded from the EOC Download Service [2]. Further information on the UrMo Digital project is available on a separate DLR website [3].

Release of the Global SnowPack (GSP)

Posted on May 2, 2022 by Administrator

The new version of the Global SnowPack displays snow parameters like duration and extent globally. The yearly products show the snow cover duration for the entire hydrological year, early snow cover duration and the late snow cover duration. [1]. The daily products show the snow cover extent, which is processed in near real time [2]. Additionally, the GSP mean has been released, which is updated each year and consists of the arithmetic mean for the entire time series [3].

The datasets are now available in the EOC Geoservice Webapp and can also be downloaded from the EOC Download Service [4]. Further information on the product is available on a separate DLR website [5].

Release of burnt area products

Posted on Apr 5, 2022 by Administrator

New daily, monthly and yearly burnt area products have been released in the EOC Geoservice. The daily product [1] is based on a fully automated approach and provides the extents of burned areas two hours after the according scenes have been acquired by the Copernicus Sentinel-3 satellite. Additionally, attribute information about the severity of the fire as well as the exact detection time is included in the data. It is also possible to accurately track the evolution of each burnt area. The product is iteratively and automatically updated over a period of 10 days as new satellite data becomes available. This enables the continuous improvement of the accuracy of the derived extents by minimizing the influence of disturbing factors such as cloud cover. In addition to a daily product, the results are also available in summarized form as monthly [2] and yearly composites [3]. While the information of the daily product is always kept for the last 50 days, the archived monthly products are available as early as April 2016, and the first yearly product as early as 2017. This time series allows deriving large-scale developments in terms of size of affected areas and severity. In total, approximately 100,000 satellite scenes from the Ocean and Land Colour Instrument (OLCI) sensor on the Copernicus Sentinel-3 A/B satellites have been used for processing through the end of 2021. Via Web Map and Web Feature Services (WMS/WFS), the data can be easily integrated into existing projects and applications. The methodology for deriving fire areas has been scientifically published [4], and an analysis of large fires on the Australian East Coast in 2019/20 based on the methodology is also available [5].

EOC Download Service: Map search interface for Sentinel-2 L2A MAJA data

Posted on Dec 10, 2021 by Administrator

A new map-based search interface for atmosphere-corrected (MAJA) Sentinel-2 data over Germany now facilitates the selection of scenes for download. New features like a time slider and easy to handle view options for quicklooks bring additional comfort while browsing for images. The new map interface can be accessed within the EOC Download Service [1]. In addition, the interface prior in place, which allowed to browse for scenes through a structure of folders remains available too [2].
The MAJA atmospheric-correction processor, developed by DLR in cooperation with CNES, calculates "Bottom of Atmosphere" reflectance for Sentinel-2 images based on image stack analysis. Further information on this dataset is available at this site [3].

Release of the Global WaterPack (GWP)

Posted on Dec 6, 2021 by Administrator

The Global WaterPack is a dataset containing information about the frequency of open surface water cover on a global scale. The dataset is characterized by its high temporal resolution of one day and a spatial resolution of 250 meter. The Global WaterPack Yearly layers (2003 to 2020) represent how often a location (pixel) was detected as open surface water during the corresponding year. The dataset can be visualized in the EOC Geoservice Webapp [1]. Further information on the product is available on a separate DLR website [2].

Release of the World Settlement Footprint (WSF) 2019 and Evolution

Posted on Nov 15, 2021 by Administrator

The World Settlement Footprint (WSF) 2019 and Evolution are global maps of human settlements which have been generated by means of an advanced classification technique that jointly exploits multi decadal open and free optical and radar imagery. While the World Settlement Footprint (WSF) 2019 is a 10m resolution binary mask outlining the extent of human settlements globally derived by means of 2019 multitemporal Sentinel-1 and Sentinel-2 imagery, the World Settlement Footprint Evolution depicts the global settlement extent on a yearly basis from 1985 to 2015 at a spatial resolution of 30 meters. The dataset can be visualized in the EOC Geoservice Webapp [1] [2] and can also be downloaded from the EOC Download Service [3] [4].

Release of the TanDEM-X PolarDEM 90m of Antarctica

Posted on Dec 14, 2020 by Administrator

The TanDEM-X PolarDEM 90m of Antarctica is a gap-free and edited version of the TanDEM-X digital elevation model (DEM) provided in Antarctic Polar Stereographic projection (EPSG:3031) with a pixel spacing of 90 meters. The editing process comprises a smoothing of noisy areas, a gap-filling with new TanDEM-X acquisitions and a replacement of frozen and partially open sea-ice areas with geoidal undulations. The majority of the data were acquired between April 2013 to September 2014. The TanDEM-X PolarDEM is a project developed by the German Remote Sensing Data Center (DFD) at the German Aerospace Center (DLR) within the activities of the TanDEM-X mission. It is a framework for the provision of derivatives of the global Digital Elevation Model (DEM) of the TanDEM-X mission for Polar Regions [1]. The dataset can be visualized in the EOC Geoservice Webapp [2] and after registration, also be downloaded from the EOC Download Service [3].

Release of the TimeScan Landsat product

Posted on Nov 4, 2020 by Administrator

The TimeScan Landsat 2015 layer [1, 2] is a higher-processing level baseline product providing a harmonized representation of the spectral and temporal properties of the land surface. The global TimeScan Landsat 2015 dataset was derived from over 450,000 Landsat-8 images (~500TB) collected from 2013 to 2015. The product condenses the information content of the original images to a 20th of their original size. The TimeScan Landsat 2015 layer can be analyzed in the form of a single, global, cloud-free dataset based on statistical ranges of 6 indices for such aspects as the state of vegetation, water cover, or human settlement (built-up areas). For each of the recorded indices the statistics provide the minimal, maximal and mean values along with the standard deviation and the mean slope determined for the entire period from 2013 to 2015. The TimeScan procedure is designed to help end users exploit information from masses of data that until now were too unwieldy for them to handle.

Release of MetOp-C GOME-2 map composites

Posted on May 27, 2020 by Administrator

The EOC Geoservice map context "MetOp GOME-2 Daily Total Column Composites" [1] shows composites calculated from daily products of different trace gases and cloud properties measured by the "Global Ozone Monitoring Experiment-2" (GOME-2) instruments onboard EUMETSAT's MetOp satellite series. The products data stream has now been accomplished by EUMETSAT's MetOp-C satellite unit which was launched in November 2018 and secures the future data flow at least until the year 2025. Please see the according news release [2] for further information.

In addition to the introduction of MetOp-C, the following changes have been performed to the MetOp GOME-2 WMS/WCS services:

  • The publication of MetOp-A maps in the Geoservice ended on 2020-04-07 and is superseded by MetOp-C.
  • The publication of MetOp-AB maps (combined composite products of MetOp-A and MetOp-B) ended on 2020-04-07 and is superseded by combined products using data from MetOp-B and MetOp-C. The existing older MetOp-AB and new MetOp-BC products are now available in a new "Combined" map layer as a continuous time-series.
  • NRT-products are no longer available as separate "LATEST/PREVIOUS"-layers, but are now included in the regular layers of the Daily ("P1D") products.

The new layer names and titles are defined using the following schema:

MetOp-B/C GOME-2:
Layer Name: METOP-[B/C]_GOME-2_L2C_P1D_[PARAMETER]
Layer Title: MetOp-[B/C] GOME-2 L2C Daily [PARAMETER]

MetOp GOME-2 Combined:
Layer Name: METOP_GOME-2_L2C_P1D_COMB_[PARAMETER]
Layer Title: MetOp GOME-2 L2C Daily [PARAMETER] Combined

The collections can be visualized in the EOC Geoservice Webapp [1] and accessed via OGC web services [3] [4].

Release of Sentinel-2 L2A and L3A MAJA/WASP data

Posted on Nov 19, 2019 by Administrator

Two new Sentinel-2 collections have been published in the EOC Geoservice: Sentinel-2 L2A MAJA and Sentinel-2 L3 MAJA/WASP data. The L2A dataset contains 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 collection can be visualized in the EOC Geoservice Webapp [1] and individual tiles can be downloaded via the EOC Download Service [2]. The Sentinel-2 L3 MAJA/WASP product contains synthesized monthly Sentinel-2 Level 3A surface reflectances for Germany computed by the WASP processor. For the processing, WASP 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. The Sentinel-2 L3 products can be visualized in the EOC Geoservice Webapp [3]. Both collections can also be accessed via OGC web services [4, 5].