Back to success stories

Unlocking the potential of cloud computing and Earth observation

70% Complete

GEE introduces Bhutan’s government agencies to the possibilities of enhanced data analysis and visualization

Unlocking the potential of cloud computing and Earth observation

Advances in cloud computing technology and internet penetration are making Earth observation information accessible to a wider demographic. Google Earth Engine (GEE) – Google’s cloud-based platform for Earth science data and analysis – stores, organizes, and provides access to a wide variety of satellite images and geospatial datasets. It also offers global-scale environmental data analysis capabilities. The GEE platform is being widely used for scientific analysis and visualization of Earth observation and geospatial datasets.

Recognizing the platform’s high-performance computing capabilities for processing and analysing large datasets, the National Center for Hydrology and Meteorology (NCHM) in Bhutan collaborated with ICIMOD’s Regional Database System (RDS) Initiative to organize a five-day training workshop on GEE in June 2019.

The training brought together 20 professionals from various government agencies in the country. It provided an overview of the GEE platform and multiple datasets hosted on the platform and included hands-on exercises on GEE JavaScript application programming interface for viewing, processing, and analysing Earth observation and geospatial datasets. It also showcased different science applications such as the resource accounting tool and wheat mapping application being developed at ICIMOD that make use of the platform’s scalable cloud computing architecture and suite of datasets.

ICIMOD conducted the first training on the GEE platform in Nepal in May 2017 under its SERVIR Hindu Kush Himalaya Initiative in collaboration with the GEE outreach team. It has since carried out multiple trainings in Nepal and Bangladesh.

The training showcased different science applications being developed at ICIMOD that make use of the GEE platform’s scalable cloud computing architecture and suite of datasets.

Chapter 4

Building the capacity for sustainable mountain development

Analysing land use change for improved decision making

Recognising the data gaps in land cover and inconsistencies in land cover maps in the HKH ...

Navigating the national drought emergency in Afghanistan

Pastoral communities in the western Himalaya drylands are extremely vulnerable to recurrent droughts. Through our SERVIR-HKH ...

6 Jul 2021 KSL
Enjoying homebased unique experiences in the majesty of the HKH mountains

Going from individual to regional approaches for ecotourism homestay development promises to benefit tourism operators and communities across ...

Better prepared for floods

Web-based flood forecasting tool scaled up in Bangladesh

Capacity building in using open-source software

Through trainings organised by our Cryosphere, Climate Services, and Himalayan University Consortium initiatives, we have introduced ...

Influencing National Programmes on GLOFs

The HKH region contains the largest concentration of snow, glaciers, and permafrost. The snow and ice-covered HKH Mountains are a ...

Knowledge exchange pay-offs with REDD+

In 2017, we published a manual – Developing Sub-National REDD+ Action Plans: A ...