21.07.2025
Workshop on Advanced Earth Observation, Machine Learning and Artificial Intelligence for Agricultural Applications
KIKompAg (Künstliche Intelligenz Kompetenz in der Landwirtschaft / Building competences in using Artificial Intelligence in Agriculture) is a multi-disciplinary project that aims to coordinate and advance the concept for the integration of multisource data, artificial intelligence (AI) and various simulation methods for the cross-scale monitoring of agricultural systems.
This KiKompAg workshop aims to build comprehensive knowledge and practical skills in applying remote sensing (RS), machine learning (ML), and AI for agricultural monitoring and decision-making. Participants will gain insights into the capabilities and limitations of satellite data for addressing key challenges such as crop monitoring and sustainable land management.
Participants will:
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Assess the integration of diverse remote sensing datasets to address complex challenges in agricultural monitoring.
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Learn to construct and analyze time-series data from Sentinel-2 imagery for tracking crop phenology, including the retrieval of Land Surface Phenology (LSP) metrics like the Start-, Peak-, and End-of-Season (SoS, PoS, EoS).
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Explore Random Forest (RF)-based data fusion method using Sentinel-2 and PlanetScope tosynthetically enhance temporal resolution and address data gaps.
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Gain experience in the use of AI algorithms, such as AlexNet and U-Net networks for fusing optical (Sentinel-2) and radar (Sentinel-1) data to monitor crop growth.
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Get an introduction into imaging spectroscopy and learn how hyperspectral EnMAP data can be analyzed using the EnMAP-Box.
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Evaluate how data fusion impacts the accuracy of phenological and yield-related indicators across spatial and temporal scales.
By the end of the workshop, participants will have both the conceptual understanding and technical capabilities to apply integrated RS and AI approaches in agricultural monitoring, supporting more informed decisions for farmers, researchers, and policymakers.
Date and venue: September 10th, 2025 at ZALF, Eberswalde Str. 84, 15374 Müncheberg
Duration: One day (8:30 – 16:30)
Format: Hybrid
Registration:
https://forms.office.com/r/MsqAJ8JdZq
Deadline: September 1st, 2025
Chair: Prof. Dr. Claas Nendel and Dr. Gohar Ghazaryan (ZALF)
Keynote speaker: Prof. Dr. Patrick Hostert, Earth Observation Lab, Geography Department Humboldt-Universität zu Berlin (HU)
Instructors: Dr. Benjamin Jakimow (HU), Dr. Magdalena Main-Knorn and Jahidur Rahaman (ZALF)
Flyer as PDF
Workshop Info as PDF
