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7124 Datensätze

Standorte stromproduzierende Anlagen (Gas, Kohle, Öl, sonstige) NRW

Der Datensatz enthält die Standorte stromproduzierende Anlagen (Gas, Kohle, Öl, sonstige) in NRW

Straßen
Bereitgestellt durch

Open NRW: Geoportal

Art des Datenzugangs

Shape / Dateidownload

Aktualität der Datensatzbeschreibung

Fri Jan 20 00:12:00 GMT 2023

Raumbezug

fCover - Sentinel-2 - Netherlands, 2016

The Sentinel-2 fractional vegetation cover (fCover) product for the Netherlands was produced as part of the NextGEOSS project at the German Aerospace Center (DLR). The goal is to derive abundance maps from atmospherically corrected Sentinel-2 multispectral images for: photosynthetically active vegetation (PV); and for combined non-photosynthetically active vegetation (NPV) and bare soil (BS).

The fCover product for the Netherlands has been generated by processing 10 cloud-free Sentinel-2 tiles which covered the country on 8 September 2016. The map has a spatial resolution of 60m x 60m. The Sentinel-2 scene classification layer was used to ensure that the spectral unmixing was only performed on areas of vegetation or soil.

The abundance maps were made by performing MESMA unmixing on each pixel from an endmember library of PV and combined NPV + BS spectra. The purest pixels in a scene, called endmembers, were extracted using the Spatial-Spectral Endmember Extraction (SSEE) approach. The PV and NPV+BS endmembers were classified with a random forest approach and selected to form the spectral library. The spectral library was used in the µMESMA unmixing to get the PV and NPV+BS abundances.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Thu Jan 19 14:39:17 GMT 2023

Zeitbezug der Daten

Thu Sep 08 08:54:16 GMT 2016

Aktualisierungsfrequenz

Niemals

Raumbezug

TimeScan - Landsat - 2015, Global

The TimeScan product is based on the fully-automated analysis of comprehensive time-series acquisitions of Landsat data. Based on a user-specified definition of the required period of time, the region of interest and – optionally – the maximum cloud cover, the TimeScan processor starts with the collection of all available Landsat scenes that meet the user specification. Next, for each single scene masking of clouds, haze and shadow is conducted using the Fmask algorithm. Then, a total of 6 indices is calculated for those pixels of each single scene that have not been masked in the prior step. The set of indices includes the Normalized Difference Vegetation Index (NDVI), the Built-up Index (BI), the Modified Normalized Difference Water Index (MNDWI), the Normalized Difference Band-5 / Band-7 (ND57), the Normalized Difference Band-4 / Band-3 (ND43), and the Normalized Difference Band-3 / Band-2 (ND32). Finally, the TimeScan product is generated by calculating the temporal statistics (minimum, maximum, mean, standard deviation, mean slope) for each index over the defined period of time. Hence, in case of the defined 6 indices chosen, the TimeScan product will include a total of 30 bands (5 statistical features per index). As an additional band a quality layer is added which shows for each pixel the number of valid values (meaning times with no cloud/haze or shadow cover) that have been included in the statistics calculation.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WMS

Aktualität der Datensatzbeschreibung

Wed Jan 18 14:38:21 GMT 2023

Zeitbezug der Daten

Wed Apr 10 22:00:00 GMT 2013 — Thu Oct 29 23:00:00 GMT 2015

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

Geo-ForPy - Forest Cover per Protected Area in the Paraguayan Chaco - 2000-2020

This product is a vector file of the protected areas of the Paraguayan Chaco. It contains information on the forest cover within each protected area and a 5, 10, and 15 km buffer zone around these areas, for the years 2000 until 2020. Hence, this product aggregates the information of 21 annual forest maps of the Paraguayan Chaco to the level of protected areas and provides the basis for further analysis as conducted in the following publication: https://doi.org/10.3390/f13010025

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Wed Jan 18 14:38:20 GMT 2023

Zeitbezug der Daten

Fri Dec 31 23:00:00 GMT 1999 — Thu Dec 31 22:59:59 GMT 2020

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

Geo-ForPy - Forest Cover per District in the Paraguayan Chaco - 1986-2020

This product is a vector file of the districts of the Paraguayan Chaco. It contains information on the forest cover within each district for the years 1986 until 2020. Hence, this product aggregates the information of 34 annual forest maps of the Paraguayan Chaco to a district level and provides the basis for further analysis as conducted in the following publication: https://doi.org/10.3390/f13010025

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Wed Jan 18 14:38:17 GMT 2023

Zeitbezug der Daten

Tue Dec 31 23:00:00 GMT 1985 — Thu Dec 31 22:59:59 GMT 2020

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

S-VELD - Sentinel-5P Surface NO2 - Germany, Daily/Orbit

This collection contains surface NO2 concentrations for Germany derived from Sentinel-5P/TROPOMI data.
The Sentinel-5P NO2 data is generated by DLR and provided in the framework of the mFUND-Project "S-VELD".
The surface NO2 data are concentrations with the unit "µg/m3".
Sentinel-5P observes Germany once per day at ~12:00 UTC. These daily observations are gridded onto a regular UTM grid.
The day and measurement time are included in the netCDF data file.
Only surface NO2 data for cloud-free Sentinel-5P measurements are provided (cloud fraction less than ~0.2).
Sentinel-5P cloud fraction data is included in this collection as well.

mFUND-Projekt: S-VELD, FKZ: 19F2065A

Straßen
Luft- und Raumfahrt
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Wed Jan 18 13:52:52 GMT 2023

Zeitbezug der Daten

Thu Feb 01 00:00:00 GMT 2018 — Wed Dec 30 00:00:00 GMT 2020

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

Burnt Area Daily NRT Incremental Product - Sentinel-3 - Europe

The product is automatically derived from Sentinel-3 (OLCI) satellite imagery in near-real time. It is an incremental product, meaning that the retrieved results are updated as soon as new input data becomes available over a timespan of ten days. Besides the fire perimeter, and detection time each feature contains information about the severity of the burning.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Wed Jan 18 13:52:47 GMT 2023

Zeitbezug der Daten

Fri Apr 01 00:00:00 GMT 2016 —

Aktualisierungsfrequenz

Täglich

Raumbezug

Burnt Area Yearly Product - Sentinel-3 - Europe

This data set represents the yearly, accumulated results of the final (10-day) version of the fire perimeters from the "Burnt Area Daily NRT Incremental Product - Europe, Sentinel-3" dataset. The burn perimeters are spatially and temporally correlated, so that interrelated detections from consecutive observations are combined into a single feature.
A perimeter is interpreted as belonging to a given event if a spatial overlap exists within a time frame of 15 days. Besides the geometry, attribute information is also combined while considering the size of the perimeter as a weighting factor.
Each feature contains information about the final fire perimeter, Date/Time of the first detection, and the averaged burn severity

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Wed Jan 18 13:52:41 GMT 2023

Zeitbezug der Daten

Sun Jan 01 00:00:00 GMT 2017 — Fri Dec 31 00:00:00 GMT 2021

Raumbezug

S-VELD - Sentinel-5P NO2 - Germany, Monthly

This collection contains monthly mean tropospheric NO2 columns for Germany and surrounding areas derived from Sentinel-5P/TROPOMI Level-1B data.
The Sentinel-5P tropospheric NO2 data is generated by DLR and provided in the framework of the mFUND-Project "S-VELD".
The tropospheric NO2 data are vertical column densities with the unit "μmol/m2".
Sentinel-5P observes Germany once per day at ~12:00 UTC and only cloud-free measurements (cloud fraction < ~0.2) are used.
The Sentinel-5P tropospheric NO2 data within each month are averaged and gridded onto a regular UTM grid.
The number of measurements used in the calculation of the averaged value are included in this collection as well.

mFUND-Projekt: S-VELD, FKZ: 19F2065A

Straßen
Luft- und Raumfahrt
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Wed Jan 18 13:52:39 GMT 2023

Zeitbezug der Daten

Thu Feb 01 11:20:38 GMT 2018 — Wed Dec 30 10:41:07 GMT 2020

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

S-VELD - MODIS/SLSTR Surface PM2.5 - Germany, Monthly

This collection contains monthly mean surface PM2.5 concentrations for Germany and parts of the surrounding countries. PM2.5 surface concentrations are derived from Aqua/MODIS and Sentinel-3A/SLSTR AOD data and provided as merged MODIS/SLSTR product. The data is generated by DLR and provided in the framework of the mFUND-Project "S-VELD". The surface PM2.5 data are concentrations with the unit "µg/m3". The satellites Aqua (NASA) and Sentinel-3 (Copernicus) observe Germany on a daily basis. PM2.5 concentrations were derived on a daily basis from the two AOD products separately and combined to a merged MODIS/SLSR surface PM2.5 product. The data within each month are averaged and gridded onto a regular UTM grid. As AOD measurements are strongly depending on cloud conditions, the spatial coverage can be limited, especially in the winter months.

mFUND-Projekt: S-VELD, FKZ: 19F2065A

Straßen
Luft- und Raumfahrt
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Wed Jan 18 13:52:34 GMT 2023

Zeitbezug der Daten

Sun Dec 31 23:00:00 GMT 2017 — Mon Dec 30 23:00:00 GMT 2019

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

4721 - 4730 von 7124 Datensätzen

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