Humanitarian Academy at Harvard University as part of the Harvard Humanitarian Initiative
Gregg Greenough, MD, MPH, Research Director, Division of International Emergency Medicine and Humanitarian Programs, Brigham and Womens Hospital; Assistant Professor, Harvard Medical School, Harvard T.H. Chan School of Public Health
Nathaniel Raymond, Director, Signal Program on Human Security and Technology, Harvard Humanitarian Initiative
Isaac Baker, Imagery Analysis Manager, Signal Program on Human Security and Technology, Harvard Humanitarian Initiative
Faine Greenwood, MA, Research Assistant, Signal Program on Human Security and Technology, Harvard Humanitarian Initiative
This course is the first professional training course with the aim of providing humanitarian professionals basic skills and knowledge required to use remote sensing technologies, such as satellite and drone imagery, as part of humanitarian operations. The goal of the course is to equip participants with the necessary expertise to manage, design, and utilize remote sensing programs during both natural disasters and conflict-related emergencies.
The Remote Sensing Workshop for Humanitarian Response is a five-day training conducted by the Signal Program on Human Security and Technology at the Harvard Humanitarian Initiative. The course faculty is experienced in remote sensing for humanitarian response, and has extensive expertise in analyzing data from both satellites and from unmanned aerial vehicles (UAVs) in real-world-situations.
Course Objectives
At the end of this course the participant will be able to:
Understand how satellites and drones are used in humanitarian response.
Apply geospatial data to specific humanitarian activities.
Develop geospatial collection and analysis plans for emergencies.
Explore the ethical and regulatory issues related to these technologies.
The intended audience for this workshop is NGO and UN workers, national and local government, and other actors involved in humanitarian response and operations. To successfully participate in the course, we recommend that participants have at least a B2 English language level (CEFR).
