Machine Learning for Remote Sensing Tutorial

The Machine Learning for Remote Sensing Summit in Kigali 2023, co-organized by NASA Harvest and CMU and hosted by CMU-Africa, aims to provide an extensive tutorial and workshop on the application of machine learning techniques in remote sensing data analysis, particularly in the agricultural sector. The tutorial covers various topics, such as an overview of remote sensing and machine learning methods, creating and curating labeled datasets, use cases and example methods for AI-EO in agriculture, evaluation of machine learning models, and case studies on cropland and crop type mapping.

The tutorial will take place on Thursday, May 4, 2023 at CMU Africa in Kigali. Tutorial participants will also have an opportunity on May 5 to attend the Machine Learning for Remote Sensing Workshop at the International Conference on Learning Reprsentations (ICLR), a top ML conference held in Kigali in 2023.

Schedule

Start time Topic Instructor
10:00 Buses pick up and arrive at CMU  
11:00 Lunch and pre-tutorial survey  
12:30 Introductory remarks and keynote Moise Busogi, CMU
13:00 Overview of remote sensing data [slides] Hannah Kerner
13:20 Overview of machine learning methods [slides] Gabi Tseng
13:40 Considerations for ML and remote sensing data [slides] Ivan Zvonkov
14:00 Q&A Hannah, Gabi, Ivan
14:20 Coffee/tea and networking break  
15:00 ML + Earth observations for agriculture in Africa [slides] Catherine Nakalembe, Hannah Kerner
15:40 Case study: NASA Harvest approach to cropland and crop type mapping [slides] Ivan Zvonkov
16:10 Case study: ML4RS: Predictions to Actionable Insights [slides] Gedeon Muhawenayo
16:40 Case study: Marine debris detection with noisy annotations using Sentinel-2 Marc Rußwurm
17:10 Guide to post-tutorial resources for continuing your journey in ML+RS Hannah, Gabi, Ivan
17:20 Buses leave CMU  

Instructors

Resources for continuing your ML+RS journey post-workshop