Date Range
Date Range
Date Range
The ultimate objective of Cloud CCI is to provide long-term coherent cloud property data sets exploiting the synergic capabilities of different Earth observation missions allowing for improved accuracies and enhanced temporal and spatial sampling better than those provided by the single sources. Read the Project Executive Summary. Release of Cloud cci version 2. The data can be accessed via the DOI pages .
Satellite observations combined with modelling helps to improve our knowledge on CO. Sources and sinks as required for better climate prediction. GHG-CCI aims at delivering the high quality satellite retrievals needed for this application.
Glaciers cci goes to High-School. Rapid acceleration of Arctic glaciers detected by the Copernicus Sentinel-1 satellites. Glaciers cci goes to High-School. Rapid acceleration of Arctic glaciers detected by the Copernicus Sentinel-1 satellites.
MERIS surface reflectance time series. A CCI LC package for sen2cor is now available on the CCI-LC viewer. In September 2017, a prototype high resolutio.
1 of the OC-CCI product comprising of globally merged MERIS, Aqua-MODIS, SeaWiFS and VIIRS data with associated per-pixel uncertainty information. This is an update of the version 3. Extends the dataset to the end of 2016.
Input data for validation diagnostics.
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The Symposium covers research in efficient algorithms and data structures in computer science, discrete applied mathematics, operations research and mathematical programming. Design and mathematical analysis of algorithms. Real-world applications, engineering and experimental analysis of algorithms. ESA Test-of-Time Award 2017 goes to.
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