HAC4 Humanitarian Crisis Detection With Nightlight
Timely identification of emerging crises is crucial for effective humanitarian response. While traditional monitoring methods remain essential, they can sometimes prove inadequate, particularly when humanitarian emergencies arise in remote or inaccessible regions. Our project addresses this challenge by exploring satellite nighttime light (NTL) data as a proxy for the identification of crises. Available daily, at no cost, and in near-real time, NTL data offers unique insights into changes in livelihoods and human activity. By combining deep learning techniques with qualitative research methods, we are developing a tool that proactively detects unusual changes in NTL, with the aim of enabling the early detection of humanitarian crises in conflict contexts relevant to the ICRC.
Dr. EmelineDarçot is a project manager at the EssentialTech Centre in Lausanne, Switzerland, which harnesses innovation in support of sustainable development,humanitarian action and peace promotion. She is currently coordinating the Engineering Humanitarian Action programme within the Humanitarian Division.
She holds a PhD in Life Science from the University of Lausanne (Switzerland). After a PhD and a postdoctoral position in biomedical imaging at the University Hospital of Lausanne (CHUV), Emeline joined the EPFL EssentialTech Centre in 2021 as a project coordinator on the Ren’All Care project. She then joined the EPFL Research Office in 2022 as project manager and coordinates since then the Engineering Humanitarian Action programme within the Humanitarian Division of the EssentialTech Centre.
Integrated Settlement Planning