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 Climate Change Vulnerability, Impacts and Assessments Service assesses climate change impacts on vulnerable communities, water resources, and ecosystems in order to better address resilience building activities.
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.
The Regional Cropland Assessment and Monitoring Service seeks to provide timely information for food security assessments through the development of national and regional crop monitors in East Africa.
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.