Description: This lecture introduces the principles and applications of multi-source remote sensing (RS) in agriculture, highlighting its benefits, limitations, and role in supporting climate adaptation and management decisions. Participants will explore the use of optical and radar data (e.g. Sentinel-1, Sentinel-2, EnMAP, PlanetScope) and gain insights from keynote presentations by Prof. Patrick Hostert and Dr. Gohar Ghazaryan on future opportunities and AI-driven innovations in agricultural monitoring. Through examples the lecture builds a solid understanding of how RS-derived information can inform crop monitoring, classification, and yield estimation, laying the foundation for more advanced applications in subsequent sessions.
Duration: 2 hr
Lecture Flow (content):
1.1. Introduction to multisource RS data in agriculture
1.2. Overview of EO use in agriculture
1.2.1. Novel Opportunities in Optical Remote Sensing for Agricultural Remote Sensing Towards 2030 - Based on Prof. Patrick Hostert talk (60min)
1.2.2. Synergistic Use of Artificial Intelligence and Multi-Source Remote Sensing in Agriculture – Based on Dr. Gohar Ghazaryan talk (30min)
1.3. Optical and radar RS advantages and limitations (e.g., Sentinel-1, Sentinel-2, PlanetScope, and UAVs)
1.4. From Overview to Applications: What Comes Next?
- Quiz
Outcomes: A solid understanding of the principles of remote sensing and its benefits and limitations in agricultural applications, with introductory examples for follow-up lectures.