SERVIR-Himalaya

This is an archive page. Please visit servir.icimod.org for recent updates.

SERVIR connects space to villages by generating geospatial information, including Earth observation data from satellites, geographic information systems, and predictive models useful to developing countries. SERVIR is a joint development initiative of the National Aeronautics and Space Administration (NASA) and the United States Agency for International Development (USAID), working in partnership with leading regional organizations around the globe. SERVIR helps those most in need of tools for managing climate risks and land use. SERVIR’s activities in the Hindu Kush Himalayan region are implemented by ICIMOD under the flagship of SERVIR-Himalaya. 

With an overarching goal to improve environmental management and resilience to climate change, SERVIR‐Himalaya has been able to augment the capacity of ICIMOD as a regional resource centre to integrate earth observation and geospatial technologies for improved developmental decision making in the Hindu Kush Himalayan region.

SERVIR-Himalaya draws upon the professional, technological, and entrepreneurial expertise of different SERVIR hubs.

Objectives

  • Strengthen the ability of governments and other development stakeholders to incorporate Earth observations and geospatial technology into decision making
  • Advance free and open information sharing through national and regional platforms and collaborations
  • Develop innovative, user-tailored analyses, decision-support products, and trainings that advance scientific understanding and deliver information to those who need it

Geographical coverage

What is SERVIR?

Stories

Datasets

Glacier data of Afghanistan was prepared based on Landsat imageries of 2015. The glacier outlines were derived semi-automatically using object-based image classification (OBIC ) separately for clean-ice and debris-covered glaciers and further manual editing for quality assurance. The attribute of glacier data were derived from SRTM DEM. This data was jointly prepared by the Ministry of Energy and Water (MEW), Afghanistan and Cryosphere team of ICIMOD with the support of SERVIR HKH.


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Glacier data of Afghanistan was prepared based on Landsat imageries of 2010. The glacier outlines were derived semi-automatically using object-based image classification (OBIC ) separately for clean-ice and debris-covered glaciers and further manual editing for quality assurance. The attribute of glacier data were derived from SRTM DEM. This data was jointly prepared by the Ministry of Energy and Water (MEW), Afghanistan and Cryosphere team of ICIMOD with the support of SERVIR HKH.


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Glacier data of Afghanistan was prepared based on Landsat imageries of 2000. The glacier outlines were derived semi-automatically using object-based image classification (OBIC ) separately for clean-ice and debris-covered glaciers and further manual editing for quality assurance. The attribute of glacier data were derived from SRTM DEM. This data was jointly prepared by the Ministry of Energy and Water (MEW), Afghanistan and Cryosphere team of ICIMOD with the support of SERVIR HKH.


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Glacier data of Afghanistan was prepared based on Landsat imageries of 1990. The glacier outlines were derived semi-automatically using object-based image classification (OBIC ) separately for clean-ice and debris-covered glaciers and further manual editing for quality assurance. The attribute of glacier data were derived from SRTM DEM. This data was jointly prepared by the Ministry of Energy and Water (MEW), Afghanistan and Cryosphere team of ICIMOD with the support of SERVIR HKH.


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The past few decades have seen high levels of deforestation and forest degradation in the Hindu Kush Himalayan (HKH) region. In this context, under SERVIR Himalaya programme, ICIMOD has developed forest cover monitoring system to identify forest change hotspot areas which need critical forest management attention in four pilot areas. This forest cover data of Paro, Bhutan between 2010 and 2013 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.


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The past few decades have seen high levels of deforestation and forest degradation in the Hindu Kush Himalayan (HKH) region. In this context, under SERVIR Himalaya programme, ICIMOD has developed forest cover monitoring system to identify forest change hotspot areas which need critical forest management attention in four pilot areas. This forest cover data of Paro, Bhutan between 2013 and 2014 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.


View Metadata

The past few decades have seen high levels of deforestation and forest degradation in the Hindu Kush Himalayan (HKH) region. In this context, under SERVIR Himalaya programme, ICIMOD has developed forest cover monitoring system to identify forest change hotspot areas which need critical forest management attention in four pilot areas. This forest cover data of Paro, Bhutan for 2014 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.


View Metadata

The past few decades have seen high levels of deforestation and forest degradation in the Hindu Kush Himalayan (HKH) region. In this context, under SERVIR Himalaya programme, ICIMOD has developed forest cover monitoring system to identify forest change hotspot areas which need critical forest management attention in four pilot areas. This forest cover data of Paro, Bhutan for 2013 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.


View Metadata

Digital polygon data of Glaciers of Bhutan in 1990. This dataset is created using Landsat MSS, imageries of 1990. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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Digital polygon data of Glaciers of Nepal in 2000. This dataset is created using Landsat MSS, TM imageries of 2000. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth.


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