[1845] - Sentinel-1 composite of the growing season 2017

All available metadata of the dataset is listed below. Some features are available, e.g. download of dataset or additional description file.

By downloading files from this dataset you accept the license terms of Open Data Commons Attribution License (ODC-By ) and TR32DBData Protection Statement.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Hütt, C., 2018. Sentinel-1 composite of the growing season 2017. CRC/TR32 Database (TR32DB). DOI: 10.5880/TR32DB.34.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Title(s):Main Title: Sentinel-1 composite of the growing season 2017
Description(s):Abstract: Sentinel-1 is an imaging radar mission providing continuous all-weather, day-and-night imagery at C-band. This is a multitemporal composite of 70 images acquired in 2017 over the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation." Only the German part of the TR32 is included in the data.
Relation(s):Source: URL: http://www.tr32db.uni-koeln.de/data.php?dataID=1846, related data type: Dataset
Source: URL: http://www.tr32db.uni-koeln.de/data.php?dataID=1847, related data type: Dataset
Source: URL: http://www.tr32db.uni-koeln.de/data.php?dataID=1848, related data type: Dataset
Source: URL: http://www.tr32db.uni-koeln.de/data.php?dataID=1849, related data type: Dataset
Source: URL: http://www.tr32db.uni-koeln.de/data.php?dataID=1803, related data type: Dataset
Source: URL: http://www.tr32db.uni-koeln.de/data.php?dataID=1851, related data type: Dataset
Is Source Of: URL: http://www.tr32db.uni-koeln.de/data.php?dataID=1844, related data type: Dataset
Responsible Party
Creator(s):Author: Christoph Hütt
Contributor(s):Data Collector: Copernicus, Sentinel
Publisher:CRC/TR32 Database (TR32DB)
TR32 Topic:Remote Sensing
Related Sub-project(s):Z1
Subject(s):CRC/TR32 Keywords: Radar, Backscatter, Multi-Temporal, Radar observations
Topic Category:Environment
File Details
File Name:Sentinel-1_composite_2017.zip
Data Type:Dataset
File Size:2733879 kB (2669.802 MB)
Date(s):Available: 2018-12-18
Mime Type:application/zip
Data Format:GeoTIFF
File list - click to open:
Please wait until file list is generated, this may take a while - up to fifteen minutes in certain cases, depending of the size of archive!
Download Permission:Free
Download Information:Raw data to produce this dataset was downloaded from https://scihub.copernicus.eu/
General Access and Use Conditions:Copernicus Sentinel data 2017, https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice
Access Limitations:Copernicus Sentinel data 2017, https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice
Licence:Open Data Commons Attribution License (ODC-By)
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Specific Informations - Data
Temporal Extent:2017/01/01 - 2017/08/31
Lineage:The 70 Sentinel-1 images that can also be found in the TR32 Database were preprocessed in SNAP. The current file is a stacked composite containing all polarisations of all 70 images.
Metadata Details
Metadata Creator:Christoph Hütt
Metadata Created:2018-12-18
Metadata Last Updated:2018-12-19
Funding Phase:3
Metadata Language:English
Metadata Version:V43
Metadata Export
Metadata Export:
Select the XML download format.
Dataset Metrics
Page Visits:202
Metadata Downloads:0
Dataset Downloads:5
Dataset Activity