Resilient Forest Management in Nepal
The Resilient Forest Management in Nepal is designed to assess the current state of forest ecosystems, identify the drivers of change, and explore suitable adaptation and mitigation measures.
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The Resilient Forest Management in Nepal is designed to assess the current state of forest ecosystems, identify the drivers of change, and explore suitable adaptation and mitigation measures.
The Geospatial Applications for Food Security and Sustainable Landscapes service aims to improve food security in Burma (Myanmar) by improving crop planning and forest landscape management practices in the country.
Air Quality Monitoring for Sustainable Landscapes and Better Human Health aims to reduce greenhouse gas emissions, improve climate resilience and promote better human health by using air quality data for informing and regulating the management of agricultural burning.
Enhancing Anticipatory Actions for Disaster and Climate Resilience aims to reduce the loss of lives and damage to properties and crops from floods and droughts by improving early warnings using satellite data and geospatial information.
Ghana is home to some of the most biodiverse and carbon-dense forests in the world. But more than a third of them have been lost in recent decades.
These training materials provide an introduction to the Ensemble Framework for Flash Flood Forecasting (EF5) system developed by the SERVIR Applied Sciences Team.
This fact sheet highlights how the Charcoal Production Site Monitoring Service is facilitating forest degradation monitoring of charcoal production sites in Ghana.
The SAR Handbook: Comprehensive Methodologies for Forest Monitoring and Biomass Estimation is the culmination of a two-year collaboration between NASA SERVIR and SilvaCarbon.
The Nepal DHM is the national agency responsible for monitoring and managing the hydrological resources of Nepal. This Use Case describes how they used the SERVIR Enhancing Flood Early Warning Services (EWS).
As part of this service, SERVIR HKH, with the technical support of Brigham Young University developed a streamflow prediction tool that incorporates all primary and secondary rivers in the HKH region