Geomatics Engineer
Riya Pokhrel
I'm Riya Pokhrel, a Geomatics Engineer passionate about leveraging Earth observation to address environmental challenges. Over the past two years at ICIMOD, I've specialized in monitoring SDG 15: Life on Land across Nepal, Bhutan, and Bangladesh, and analyzing climate and vegetation trends across the Hindu Kush Himalaya region. My undergraduate thesis explored GNSS and InSAR processing for atmospheric water vapor estimation.
Currently, I'm pursuing my Master's in Digital Earth through the Copernicus programme (Erasmus Mundus), spending my first year at Paris-Lodron University of Salzburg diving deep into Geoinformatics and Earth observation, followed by a second year at University of South Brittany in France focusing on AI for Earth observation, big earth data analytics, and computer vision. I'm driven by the challenge of transforming complex geospatial data into actionable insights—working toward a career at the intersection of geospatial science, data engineering, and environmental sustainability.
EMJM Programme (Erasmus Mundus)
Bachelor of Engineering in Geomatics Engineering
High Scool: Science Stream
International Centre for Integrated Mountain Development (ICIMOD)
International Centre for Integrated Mountain Development (ICIMOD)
NEST(P) Ltd.
Thematic datasets and indicators for monitoring SDG 15: Life on Land for Bangladesh, Bhutan and Nepal.
GIS-based multi-criteria decision analysis for eight high-value crops in Karnali Province, Nepal.
Climate trend analysis across the Hindu Kush Himalaya region.
Remote sensing-based vegetation health assessment using spectral indices.
Machine learning-based forest classification using Google Earth Engine.
Training workshop for government agencies on SDG 15 indicator monitoring.
Capacity building training for Bangladesh, Bhutan and Nepal government agencies.
Specialized GEE training for SDG monitoring and rangeland assessment.
Bachelor thesis: Water vapor estimation using GNSS and InSAR in Nepal.
GIS-based susceptibility mapping using frequency ratio method.
Multi-criteria analysis for optimal waste disposal site selection.
Temporal wetland mapping using multi-temporal satellite imagery.
Interactive GEE application visualizing urban expansion in Kathmandu Valley betweemn2000 and 2024 using Landsat imageries.
View Project →
Comprehensive SDI monitoring rural depopulation across Austria using PostgreSQL/PostGIS and OGC services.
View Project →
Assessing ground deformation through DInSAR
Details →Advanced ML for satellite image classification and environmental monitoring.
View →Deep learning for geospatial feature extraction and classification.
View →Comprehensive research combining geospatial data science with environmental applications.
View →Open to discussing new projects and opportunities in geospatial technology.
