- What is CREODIAS?
- Computing & Cloud
- Data & Processing
- Pricing Plans
- Fight with COVID-19
- Examples of usage
- EO Data Access (R)evolution
- Land cover classification using remote sensing and AI/ML technology
- AI-based satellite image enhancer and mosaicking tools
- Monitoring air pollution using Sentinel-5P data
- Species classification of forests
- Enabling AI / ML workflows with CREODIAS vGPUs
- Satellite remote sensing analyses of the forest
- Satellite-based Urban Heat Island Mapping on CREODIAS
- Old but gold - historical EO data immediately available and widely used on CREODIAS
- CREODIAS for emergency fire management
- AgroTech project as an example of how CREODIAS can be used for food and environmental research
- Monitoring Air Quality of Germany in Pre vs During COVID Lockdown Period
- EO4UA
- Common Agricultural Policy monitoring with Earth Observation
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- Meteorological data usage on the CREODIAS platform
- Building added value under Horizon Europe with CREODIAS
- CREODIAS: Introduction to SAR Sentinel-1 data
- Land subsidence and landslides monitoring based on satellite data
- Satellite imagery in support of the Common Agriculture Policy (CAP) and crop statistics
- Useful tools for data processing, available on CREODIAS platform
- CREODIAS for hydrological drought modelling
- CREODIAS for managing Urban Heat Islands
- CREODIAS for Digitising Green Spaces
- CREODIAS for Air Quality
- Advanced data processors on CREODIAS
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- Example of tool usage
- Processing EO Data and Serving www services
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- Use of CEMS data through CREODIAS
- Searching, processing and analysis of Sentinel-5P data on CREODIAS
- ASAR data available on CREODIAS
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Data & Processing
Sentinel-2 L2A 120m Mosaic for 2019
Sentinel-2 L2A 120m mosaic is a derived product, which contains best pixel values for 10-daily periods, modelled by removing the cloudy pixels and then performing interpolation among remaining values. As there are some parts of the world, which have lengthy cloudy periods, clouds might be remaining in some parts. The actual modelling script is available here.
Basic facts about the data:
- Source: Sentinel-2 L2A data
- Time period: 2019 (2020 planned to be added in April, previous years as well if we find the dataset useful)
- Resolution: 120m
- Available bands: B02, B03, B04, B08, B11, B12
- CRS: UTM
- Format: COG
Data structure
Each file is its own object in CREODIAS S3. The data are organised per tiles using the Military grid system. The basic data format is the following:
[year]/[month]/[day]/[UTM code][latitude band]/DATA
For example, the files for individual scene are available in the following location: s3://DIAS/auxdata/S2_L3_MOSAIC_120/2019/10/28/01K/
Where:
-
[year]
= e.g.2019
- is the year the data was collected. -
[month]
= e.g.10
- is the month of the year the data was collected (without leading zeros). -
[day]
= e.g.28
- is the day at the beginning of the 10-daily period (without leading zeros). -
[UTM code]
= e.g.01
- grid zone designator. -
latitude band
= e.g.K
- latitude band are lettered C- X (omitting the letters "I" and "O"). -
DATA
- data for each tile are organized per bands (B02.tiff, B03.tiff, etc.)
Accessing the Sentinel-2 L2A 120m mosaic dataset
If you use the AWS Command Line Interface, you can list data in the bucket with the “ls” command:
aws s3 ls s3://DIAS/auxdata/S2_L3_MOSAIC_120/
and s3cmd ls s3://DIAS/auxdata/S2_L3_MOSAIC_120/
Contact
If you have questions about the data, please use Sentinel Hub forum
License
CC-BY 4.0
Credit: Contains modified Copernicus data [year] processed by Sentinel Hub