Enhanced Sentinel 2 Agriculture

Challenge portfolio

MapYourCity Challenge

Your city holds secrets ready to be revelead. We invite you to be part of this story and join the #MapYourCity challenge. […]

OrbitalAI Challenge

“This exciting challenge aimed to explore the cutting-edge possibilities of in-orbit data processing and its potential to drive progress in earth sustainability, business, industry, and science. […]

An extraordinary challenge has been created to bring together Artificial Intelligence (AI) and Earth Observation (EO) players to address the challenge of “automated sea ice mapping” from Sentinel-1 SAR data. […]

Sentinel 2 Challenge

Agriculture plays a central role globally by providing food for humans and livestock or material for industrial processes. It is a driver of economic growth and will play an essential role in reducing the impact of climate change and greening our economies. […]

HYPERVIEW Challenge

Maintaining farm sustainability through improving the agricultural management practices by the usage of recent advances in Earth observation and artificial intelligence has become an important issue nowadays. It can not only help farmers face the challenge of producing food at an affordable price, but can also be crucial step toward the planet-friendly agriculture. […]

Food Security Challenge

Remote sensing is entering a new era of time-series analysis. Daily revisit times of satellites allow for near real-time monitoring of many areas across the globe. However, there has been little exploration of deep learning techniques to leverage this new temporal dimension at scale. […]

Read More… from Food Security Challenge

Air Quality & Health Challenge

The AI4EO Air Quality & Health challenge was a joint effort of the European Centre for Medium-Range Weather Forecasts (ECMWF) and the Copernicus Atmosphere Monitoring Service (CAMS). It focused on developing AI-powered solutions to facilitate the downscaling of analyses and forecasts of surface concentrations of particulate matter (PM2.5) and nitrogen dioxide (NO2). […]

Copernicus Sentinel imagery

#Sentinel-2 for Agriculture

Agriculture plays a vital role in sustaining global food security and economic growth.
By providing nourishment for both human and animal populations, as well as materials for industrial processes, agriculture is a key contributor to both human well-being and environmental sustainability.
However, to ensure that agricultural production can continue to meet the needs of a growing global population, accurate and reliable data is essential.

This challenge aims to utilise Copernicus Sentinel imagery to map cultivated land and develop innovative solutions for extracting as much information as possible from the native 10-meter per pixel resolution. The participants will be tasked with identifying agricultural areas smaller or narrower than a Sentinel-2 pixel, and will be required to produce output datasets on a specific area of interest in Slovenia.

This challenge is a collaboration between the Data Science in Earth Observation department at TUM/DLR, and aims to advance our understanding of the agricultural landscape and support sustainable food production.