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Found 77 results.

SWIM Water Extent - Sentinel-1/2 - Daily

SWIM Water Extent is a global surface water product at 10 m pixel spacing based on Sentinel-1/2 data. The collection contains binary layers indicating open surface water for each Sentinel-1/2 scene. Clouds and cloud shadows are removed using ukis-csmask (see: https://github.com/dlr-eoc/ukis-csmask ) and are represented as NoData. The water extent extraction is based on convolutional neural networks (CNN). For further information, please see the following publications: https://doi.org/10.1016/j.rse.2019.05.022 and https://doi.org/10.3390/rs11192330

Precipitation seasonality - Land System Archetypes Input Dataset

Global high-resolution historical and future scenario climate surfaces; resolution: 10 arc-minutes

Solar radiation - Land System Archetypes Input Dataset

Global high-resolution historical and future scenario climate surfaces; resolution: 10 arc-minutes

Diurnal temperature range - Land System Archetypes Input Dataset

Global high-resolution historical and future scenario climate surfaces; resolution: 10 arc-minutes

Annual mean temperature - Land System Archetypes Input Dataset

Global high-resolution historical and future scenario climate surfaces; resolution: 10 arc-minutes

Precipitation - Land System Archetypes Input Dataset

Global high-resolution historical and future scenario climate surfaces; resolution: 10 arc-minutes

World Settlement Footprint (WSF) 2019 - Sentinel-1/2 - Global

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 (S1) and Sentinel-2 (S2) imagery. Based on the hypothesis that settlements generally show a more stable behavior with respect to most land-cover classes, temporal statistics are calculated for both S1- and S2-based indices. In particular, a comprehensive analysis has been performed by exploiting a number of reference building outlines to identify the most suitable set of temporal features (ultimately including 6 from S1 and 25 from S2). Training points for the settlement and non-settlement class are then generated by thresholding specific features, which varies depending on the 30 climate types of the well-established Köppen Geiger scheme. Next, binary classification based on Random Forest is applied and, finally, a dedicated post-processing is performed where ancillary datasets are employed to further reduce omission and commission errors. Here, the whole classification process has been entirely carried out within the Google Earth Engine platform. To assess the high accuracy and reliability of the WSF2019, two independent crowd-sourcing-based validation exercises have been carried out with the support of Google and Mapswipe, respectively, where overall 1M reference labels have been collected based photointerpretation of very high-resolution optical imagery.

Seismicity catalog collection, 2150 BC to 1996 AD

The Seismicity Catalog Collection is a compilation dataset on over four million earthquakes dating from 2150 BC to 1996 AD from NOAA's National Geophysical Data Center and U.S. Geological Survey's National Earthquake Information Center. The data include information on epicentral time of origin, location, magnitudes, depth and other earthquake-related parameters. This database is static and is no longer being updated. The CD collection was a compilation of all of the earthquake catalogs, both US and non-US, in the National Geophysical Data Center (NGDC) archive available in 1996. The purpose was to provide users with access to all the seismicity data in one place. Data can be accessed through the GeoVu data access and visualization software included on the CDs. This software allows visualization of pre-computed histograms as well as reformatting of data files to a format specified by the user. Many of the more popular data bases are available in several different formats so the user will not have to reformat large data bases. Files can be formatted for use on IBM PCs, Macs, or UNIX machines. Format information, data dictionary and statistical information are also included. A bibliography of earthquake-related materials at NCEI and the Summary of Earthquake Data Base (KGRD-21) are included on the CD-ROM. NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives. This dataset has been archived in the framework of the PANGAEA US data rescue initiative 2025.

Visualisierung abfallwirtschaftlicher Best Practice Beispiele (Datensatz)

Zielstellung der Entwicklung ist es, Fachleuten und der interessierten Öffentlichkeit Projekttätigkeiten im Bereich des Abfalltechnologietransfers übersichtlich darzustellen. So werden in einer interaktiven Karte Projektträger, Projektstandorte und deren Wirkbereiche visualisiert. Zusätzlich können Informationen wie Kontaktdaten, Projektlaufzeiten oder Projektsteckbriefe über die Karte abgefragt und heruntergeladen werden. Durch dieses ressortübergreifende Angebot wird zudem die Abstimmung und Kooperation zwischen Projektbeteiligten erleichtert.

Anomalies of monthly mean surface air pressure

Global maps of anomalies of monthly mean surface air pressure derived from GME model data (reference period 1961-1990), WMO RA VI Regional Climate Centre (RCC) on Climate Monitoring

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