A high-resolution Sentinel-2 satellite image showing a lush, green forest canopy in Austria. The image highlights a patchwork of different tree species, illustrating the 10-meter precision of the biodiversity mapping.
1. Credit: Reproduced from Schadauer, T.; Karel, S.; Loew, M.; Knieling, U.; Kopecky, K.; Bauerhansl, C.; Berger, A.; Graeber, S.; Winiwarter, L. Evaluating Tree Species Mapping: Probability Sampling Validation of Pure and Mixed Species Classes Using Convolutional Neural Networks and Sentinel-2 Time Series. Remote Sensing 2024, 16(16), 2887. https://doi.org/10.3390/rs16162887. © 2024 by the authors. Licensed under CC BY 4.0(https://creativecommons.org/licenses/by/4.0/).
A Sentinel-1 radar image of the Tokyo metropolitan area. The radar imagery highlights the dense urban infrastructure and skyscrapers in bright, glowing patterns, showing how the satellite can map the world’s largest city through clouds and even at night.
CREDIT:
contains modified Copernicus Sentinel data (2024), processed by ESA
A Sentinel-1 radar capture of Tropical Cyclone Errol. The image reveals the internal structure and eye of the storm through heavy rain and clouds, showing the wind patterns and intense sea surface conditions.
CREDIT
:contains modified Copernicus Sentinel data (2025), processed by ESA
A graphic featuring a digital illustration of a Copernicus Sentinel satellite in orbit. Prominent text invites viewers to explore success stories and open-access data at sentinels.copernicus.eu.
The #CopernicusEU #Sentinel missions provide the high-precision, open-access data needed to solve real-world challenges. From monitoring biodiversity to tracking cyclones through clouds and darkness, #Sentinels are helping to build a more resilient future.
#SentinelOnline #ESA #EarthObservation
