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Sentinel-2 outperformed Landsat 8 in forest variable estimation

In a recent paper, published in Remote Sensing of Environment we compared the performance of Sentinel-2 and Landsat 8 satellites in the estimation of forest variables in Finland. The variables were stem volume (V), stem diameter (D), tree height (H) and basal area (G), and their species-wise components for pine (Pine), spruce (Spr) and broadleaved (BL) trees. We compared the S2 and L8 performances using twelve different test setups including different Sentinel-2 and Landsat 8 band combinations and pixel resolutions, and using two different modelling methods. They also identified the best predictive image bands for each test setup.

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Post processing tools made available to screen EO data also allow to make nice images using Sentinel-2

The on-demand Band Combination 8 processing service COMBI provides RGB composites from user defined bands of single or multiple data products from a broad range of EO missions. All bands are in their native format e.g. no radiometric correction is applied thus can serve only for fast screening of the data, not for further processing. We are sharing nice results using time series of Sentinel-2 images of the Copernicus programme.

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Cookbook for cloud enabled applications now available

The first version of the Cookbook for cloud enabled applications has been published. It provides a series of tips and guidelines for platform and applications developers who wish to efficiently exploit the features of the cloud in the context of Earth Observation services.

Download the cookbook

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