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Waste-site map derived from high-resolution imagery
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Waste Management
Assessing municipal and herder-community waste streams and designing management systems suited to each locality.
Remote sensing, GIS and field science for Mongolia's land, waste and climate.
See our projects
About MRSS
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NDVI anomaly map, growing season
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Mongolia's pastures, rivers and settlements are changing faster than they can be surveyed on foot. Good decisions need consistent, nationwide evidence.
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Land-cover classification map
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We turn satellite, drone and field data into maps and indicators that agencies and communities can act on — from waste sites to degraded rangeland.
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Drone orthophoto with field validation points
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Every map is checked against ground observations and published with its source, sensor and date, so others can verify and reuse the work.
Impact
Since 2012, MRSS has mapped land, water and waste across Mongolia's aimags, giving national agencies and international partners a shared evidence base.
In the field
Services
Seven areas of work, from waste management to training the next generation of geospatial analysts.
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Waste-site map derived from high-resolution imagery
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Assessing municipal and herder-community waste streams and designing management systems suited to each locality.
02
Satellite imagery analysis for land cover, change detection, and environmental indicators.
03
Building spatial databases and maps that turn field and satellite data into decisions.
04
High-resolution aerial surveys for terrain, infrastructure, and vegetation monitoring.
05
Long-term tracking of air, water, and ecosystem conditions across Mongolia.
06
Mapping desertification and pasture degradation to guide restoration efforts.
07
Capacity building in GIS and remote sensing for government agencies, NGOs, and students.
Featured projects
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Waste-site map, aimag center
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Waste
Mapping formal and informal dump sites from high-resolution imagery and verifying each one in the field.
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Multi-year NDVI trend map
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Land
Multi-year NDVI trends combined with transect data to locate degraded rangeland and prioritise restoration.
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Land-cover classification
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Biodiversity
Classifying habitat types from satellite imagery to support protected-area management plans.
Publications
Peer-reviewed papers, technical reports and open datasets from MRSS members and partners.
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MRSS members during field training
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Membership
Researchers, students and practitioners get early news of data releases, trainings and field opportunities.