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168 Datensätze

Luft- und Raumfahrt

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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

18.01.2023

Zeitbezug der Daten

01.02.2018 — 30.12.2020

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

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

18.01.2023

Zeitbezug der Daten

01.04.2016 —

Aktualisierungsfrequenz

Täglich

Raumbezug

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

18.01.2023

Zeitbezug der Daten

01.01.2017 — 31.12.2021

Raumbezug

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

18.01.2023

Zeitbezug der Daten

01.02.2018 — 30.12.2020

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

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

18.01.2023

Zeitbezug der Daten

01.01.2018 — 31.12.2019

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

This collection contains monthly mean 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 and only cloud-free measurements (cloud fraction less than ~0.2) are used.
The Sentinel-5P surface 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

18.01.2023

Zeitbezug der Daten

01.02.2018 — 30.12.2020

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

The product is automatically derived from Aqua/Terra (MODIS) 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

18.01.2023

Zeitbezug der Daten

03.08.2022 —

Aktualisierungsfrequenz

Täglich

Raumbezug

This data set represents the monthly, 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

18.01.2023

Zeitbezug der Daten

01.04.2016 —

Aktualisierungsfrequenz

Monatlich

Raumbezug

This collection contains 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. These daily observations are gridded onto a regular UTM grid.
The day and measurement time are included in the netCDF data file.
Only tropospheric NO2 data for cloud-free Sentinel-5P measurements are provided (cloud fraction < ~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

18.01.2023

Zeitbezug der Daten

01.02.2018 — 30.12.2020

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

The dataset is based on the analysis of forest cover dynamics in the Paraguayan Chaco (northeastern part of Paraguay) between 1987 and 2020. The underlying forest masks were derived through annual forst classifications with a Random-Forest-Classifier trained on Landsat data from 1987 until 2020. The map shows the year in which the forest area was lost.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

18.01.2023

Zeitbezug der Daten

01.01.1987 — 31.12.2020

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug