Out in Front: How SERVIR's Locally Led Development is Driving Climate Action
Much of the world is already experiencing the negative effects of climate change, and it is disproportionately impacting the world's most marginalized populations.
60 results
Much of the world is already experiencing the negative effects of climate change, and it is disproportionately impacting the world's most marginalized populations.
This dry season, communities in the central and northern Amazon face increased fire risk linked to El Niño. With the support of SERVIR, decision-makers can more easily track and respond to these fires.
|Lena Pransky and Jacob Ramthun, NASA Science Coordination Office
In this miniseries, we explore why gender matters in applied Earth science, and how we can integrate gender more intentionally into geospatial work.
|Lena Pransky, Diana Kurkovsky West, and Emily Adams | NASA Science Coordination Office
SilvaCarbon is an important collaborator with SERVIR.
This fact sheet provides an overview of SERVIR-Amazonia, which is part of SERVIR Global, a joint development initiative of the U.S. National Aeronautics and Space Administration (NASA) and the United States Agency for International Development (USAID).
This brochure provides an overview about SERVIR Amazonia.
The Amazon Rainforest, often referred to as the "lungs of the Earth," plays a vital role in global climate regulation and biodiversity preservation.
|Prakrut Kansara, PhD and Benjamin Zaitchik, PhD, SERVIR Applied Sciences Team
The Monitoring Forest Dynamics to Enable Biodiversity Conservation in the Amazon service - now completed - helped introduce "TerraBio," a monitoring tool to assess the impact of private sector engagement on biodiversity conservation in the Amazon.
USAID’s 2024-2028 Geospatial Strategy promotes leveraging the power of geospatial data and technology to target the delivery of international programs.
This video provides an overview of the GEOGloWS tool in Ecuador in English and Spanish. GEOGloWS are web applications for monitoring and forecasting hydrometeorological events using global models, satellite information, and observed data.