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SERVIR-Himalaya Grantees present their preliminary findings

Disaster risk management

Eight organizations awarded small grants for research to support environmental decision making

GEE Application Form

165. Events


The project ‘Engaging Local Citizens to Map Environmental, Agriculture and Food Security Data’ explores the use of free and open infrastructure of OpenStreetMap (OSM) to map data related to environment, agriculture, and food security...

Himalayas MENRIS SERVIR HKH Regional Database Himalayan University Consortium Related Events Air pollution, climate and health in the HKH: Workshop and Science-Policy Dialogue 27 Nov 2017 - 28 Nov 2017 International

Space Challenge MyCOE/SERVIR Partnership Contact Science applications Status of Glaciers in the HKH Region Land Cover Dynamics in Bhutan Nepal Disaster Information Management System Glacier Dynamics in Nepal Himalaya

Bangladesh and ICIMOD has been working in the area of capacity building, institutional strengthening, internships, research and demonstration, and regional and international workshops and conferences, among other activities.

he application allows users to view and monitor of Kayar Khola watershed covers an area of 8,002 ha at an elevation of 245 to 1944 m in Chitwan district in the central development region of Nepal. Mainly swiping tools allow visitors to see the

The northern region of Bangladesh has been facing increasing agricultural droughts which can lead to reduce the productivity of farming communities, especially where irrigation is not available. Climate change projections also suggest a future

Transboundary Landscapes

Story Maps

High altitude wetlands

176. News

The application serves CREST model run output for Bhutan from 2002 to early 2014. The outputs include daily streamflow and soil moisture. The model has been run by University of Oklahoma and the output data provided to ICIMOD.

Monitoring agriculture from space means looking at the green-ness to estimate how much photosynthesis is occurring on the ground. By comparing the recent vegetation conditions with the long term average, anomalies are determined to predict the


Cryosphere and Atmosphere