Register
"*" indicates required fields
This page is a practical, applied Data Studio Package for integrating remote sensing and EO technology into human rights monitoring and humanitarian decision-making. It combines satellite imagery, conflict and environmental datasets, and operational resources to provide technical guidance that supports conflict monitoring, infrastructure assessment of conflict-related destruction, and climate risk analysis that addresses the multi-hazard risks that displaced populations face.
Designed for NGOs, human rights documentation groups, humanitarian organizations, government analysts, early warning practitioners, and research teams, this Data Studio Package supports a range of applications including conflict monitoring, infrastructure assessment, climate risk analysis, displacement mapping, environmental monitoring, and evidence generation for humanitarian response and accountability efforts.
Geospatial analysis and EO contributes to the understanding of humanitarian and human rights risks by combining satellite imagery, environmental information, conflict data, and population datasets to identify affected communities, monitor changes in population and population movement, assess exposure to hazards, and support evidence-based decision-making. Integrating responsible data practices into these workflows helps minimize risks to individuals and communities while promoting transparency, accountability, and the ethical use of information.
EO for human rights is the use of satellite imagery, GIS, and remote sensing to document, monitor, and analyze events and conditions that affect human rights and humanitarian outcomes.
It can:
The effectiveness of an analysis depends on the selection of appropriate datasets, understanding the strengths and limitations of different data sources, validating analytical results when possible, and applying responsible data practices that consider privacy, security, consent, and potential risks to affected populations. The Data Studio Package provides guidelines on use cases for specific datasets, validation methods, and limitations regarding ethics.
Before an Emergency Occurs
Immediately following or during an event/conflict