This site uses cookies, as explained in our terms of use. If you consent, please close this message and continue to use this site.
2 mins Read
The Google Earth Engine (GEE) platform is increasingly finding acceptance across academic, business, non-profit, and government users for scientific analysis and visualization of geospatial datasets in the region. Accordingly, ICIMOD supported the National Center for Hydrology and Meteorology (NCHM), Royal Government of Bhutan, in organizing Bhutan’s first GEE training in June 2019. The five-day training involved 20 professionals from various government agencies in the country.
ICIMOD – under its SERVIR Hindu Kush Himalaya (SERVIR-HKH) Initiative – conducted the first training on the GEE platform in Nepal (more trainings have followed) in collaboration with the GEE outreach team. Trainings have also been conducted in Bangladesh. The GEE platform stores, organizes, and provides access to a wide variety of satellite imageries and geospatial datasets and offers global-scale environmental data analysis capabilities. In addition to the tools and cloud computational powers necessary to analyse large datasets, the platform offers application programme interfaces (APIs) in JavaScript and Python. Acknowledging the platform’s high-performance computing environment for processing large datasets and quick turn-around of analysis, the NCHM reached out to ICIMOD to collaborate on organizing a training workshop on GEE in Bhutan.
The training in Bhutan provided an overview of the GEE platform and multiple datasets hosted on the platform. It included hands-on exercises on GEE JavaScript API for viewing, processing, and analysing Earth observation and geospatial datasets. The training 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’s Sudip Pradhan, Programme Coordinator, Regional Database System (RDS) Initiative, delivered the training. Besides staff from the NCHM, professionals from the Department of Forests and Park Services of Bhutan (DoFPS), Department of Geology and Mines (DGM), Department of Hydropower and Power Systems (DHPS), National Land Commission Secretariat (NLCS), and Ugyen Wangchuck Institute for Conservation and Environmental Research (UWICER) attended the workshop.
ICIMOD’s longstanding relationship with the NCHM led to the successful organization of the workshop as a collaboration between the NCHM and ICIMOD’s RDS Initiative. Part of ICIMOD’s Regional Programme on Mountain Environment Regional Information System (MENRIS), the Initiative manages the institution’s regional database system – a central data repository for different thematic areas in the Hindu Kush Himalayan region.
What is GEE?
Google Earth Engine (GEE) can be used for large and small-scale scientific analysis and visualization of geospatial datasets. It is widely used by researchers, non-profit organizations, educators, and governmental agencies to analyse large-scale geospatial data and is available free of cost for non-commercial users by signing up here.
Share
Stay up to date on what’s happening around the HKH with our most recent publications and find out how you can help by subscribing to our mailing list.
RELATED CONTENTS
Over the course of the next five years, policy and implementation efforts will be made to support integrated river basin ...
This final SRC meeting of the current phase was held from 22 to 24 September 2014 at the ...
Through his subtle yet powerful depiction of the struggles of rural mountain village life in Uttarakhand, India, director Savyasachi Anju ...
The Kangchenjunga Landscape (KL) spreads over an area of 25,085.8 sq.km that is home to 7.2 million people. Nepal covers ...
Hundreds of earthquake-affected families in Ratanchaura and Baseshwor Village Development Committees (VDCs) of Sindhuli district are no longer sitting in ...
Agriculture and livestock keeping are the main sources of livelihoods for all 528 families (100 in Jajurauli and 428 in ...
Women from migrant-sending households are increasingly responsible for managing disaster risks as well as household resources. Raising their awareness, improving ...
Upstream–downstream linkages in the basin can serve as a basis for managing shared disasters and provide opportunities for Disaster Risk ...