Hindu Kush Himalaya
SERVIR Hindu Kush Himalaya helps improve environmental management and resilience in critical areas like food security, water resources management, disaster resilience, and sustainable lan
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SERVIR Hindu Kush Himalaya helps improve environmental management and resilience in critical areas like food security, water resources management, disaster resilience, and sustainable lan
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
The Land Use Land Cover and Change Mapping Service was designed to provide governments with data, tools, and skills to better understand relevant intervention actions related to land conservation and management, ensuring that land resources can be efficiently monitored and regulated.
The Monitoring Extreme Weather in the Hindu Kush Himalaya (HKH) service provides a customized numerical weather prediction toolkit to assess high impact convective weather events over the HKH region.
SERVIR-HKH has developed land cover monitoring systems with a modular architecture built on the Google Earth Engine (GEE) computational platform.
A special workshop was held 22 and 23 December 2014 in Dhaka, Bangladesh, for beneficiaries of the SERVIR-Himalaya Small Grants program to present research outlines, methodologies, and preliminary findings for their projects.
At the Annual Fall Meeting of the American Geophysical Union (AGU), held 15-19 December 2014 in San Francisco, officials from Bangladesh made a big announcement. They are expanding use of a satellite-based flood forecasting and warning system developed by SERVIR.
Working in developing countries around the world, SERVIR seeks to incorporate regional knowledge and perspectives to best meet end user needs in addressing issues such as flood forecasting, forest fire management, landslide hazard, agricultural monitoring, and biomass estimation.