1. Dehradun’s Water Resources Profile — Where the Himalayas Meet the Plains
Dehradun, nestled in the Doon Valley between the Shivalik hills and the Greater Himalayan range, sits at the confluence of two of India’s most important river systems — the Ganga basin to the east and the Yamuna basin to the west. The city is drained by the Rispana and Bindal rivers — both Ganga tributaries that originate in the Mussoorie range — and lies above one of northern India’s most significant alluvial aquifer systems, the Doon Valley aquifer.
Yet this extraordinary water wealth is under escalating pressure. Uttarakhand’s glaciers — the source of perennial river flows that sustain hundreds of millions of people downstream — are retreating at an accelerating rate due to climate change. The Doon Valley’s alluvial aquifer is being mined faster than recharge. The Rispana and Bindal rivers, once perennial streams, run as seasonal trickles in summer and destructive flash flood channels in monsoon. Robber’s Cave (Guchhupani), Dehradun’s iconic underground stream, has seen dramatically reduced flows in recent decades.
These are spatial, quantifiable, mappable problems — and geospatial science provides the only tools capable of monitoring and managing them at the scale and frequency that the challenge demands.
⚡ Why Dehradun is India’s Geospatial Science Capital
Dehradun hosts an unmatched concentration of geospatial institutions: Survey of India (national headquarters), Forest Survey of India, Wadia Institute of Himalayan Geology, National Institute of Hydrology, ISRO-IIRS (Indian Institute of Remote Sensing), Uttarakhand Space Application Centre (USAC), and THDC India Limited. A GIS course in Dehradun connects you directly to India’s most concentrated cluster of geospatial employers.
2. Why GIS & Remote Sensing Are Essential for Himalayan Water Management
Uttarakhand’s water systems operate across extreme topographic gradients — from 7,000-metre glaciated peaks to 300-metre Terai floodplains — across terrain that is largely inaccessible to traditional field monitoring. Satellites provide continuous, repeatable, and spatially exhaustive coverage of this entire gradient.
Glacier Area & Volume Change
Multi-decadal Landsat and Sentinel-2 analysis quantifies glacier retreat rates, equilibrium line altitude shifts, and debris-cover expansion across Uttarakhand’s 968 glaciers — the hydrological backbone of the Ganga system.
Glacial Lake Monitoring
Sentinel-2 and Planet imagery detect new supraglacial and proglacial lake formation, track rapid area expansion events, and enable GLOF susceptibility classification before catastrophic outbursts occur.
Flash Flood & Debris Flow Mapping
SAR-based rapid mapping of landslide-induced river blockages (as in Chamoli 2021), flash flood inundation extents, and post-event channel morphology change — critical for SDMA Uttarakhand disaster response.
Watershed Delineation
High-resolution DEM-based delineation of Ganga and Yamuna sub-watersheds for runoff modelling, hydropower catchment assessment, and erosion risk zonation across Uttarakhand’s rugged terrain.
Forest & Land Cover Change
Forest degradation in Uttarakhand’s catchments — quantified through NDVI and LULC time-series analysis — directly correlates with increased surface runoff, flood peak enhancement, and aquifer recharge decline.
Urban Encroachment on River Channels
High-resolution Cartosat-3 data maps illegal construction on Rispana and Bindal river flood plains — a key driver of Dehradun’s worsening urban flash flood problem and shrinking spring network.
3. Case Study: Himalayan Glacier Monitoring in Uttarakhand
Tracking the Retreat of Uttarakhand’s Frozen Water Towers
Uttarakhand’s 968 glaciers covering approximately 3,550 sq km are the primary source of perennial flow in the Ganga and Yamuna systems — feeding rivers that sustain over 500 million people in the Indo-Gangetic Plain. The Gangotri glacier — source of the Bhagirathi/Ganga — has retreated over 22 kilometres since 1780, with retreat rates accelerating from ~22m/year in the 1970s to ~30m/year since 2000. Remote sensing is the only viable tool for monitoring change across this vast, high-altitude terrain.
Key Satellite Techniques for Glacier Monitoring
50-Year Glacier Area Change
Landsat MSS/TM/ETM+/OLI time-series from 1972 to 2024 used to map glacier boundary retreat, area loss, and snout position change for all major Uttarakhand glaciers — quantified using NDSI (Normalized Difference Snow Index).
Debris-Covered Glacier Mapping
Thermal band analysis (Landsat Band 10) and SAR backscatter used to distinguish debris-covered glacier ice from surrounding rock — a critical challenge since >40% of Uttarakhand’s glacier area is debris-covered, masking retreat in optical imagery.
Glacier Mass Balance & Thinning
Multi-temporal DEM differencing (SRTM 2000 vs TanDEM-X 2012 vs Cartosat DEM) measures glacier surface elevation change — directly quantifying ice mass loss (in Gt/year) for the Ganga headwater basins.
Annual Snow Cover Analysis
GEE-based annual maximum snow cover mapping across all Uttarakhand catchments using Landsat and Sentinel-2 NDSI — tracking equilibrium line altitude rise and seasonal snowmelt contribution to river flows.
Glacier Velocity Mapping
SAR offset tracking (feature tracking between successive Sentinel-1 acquisitions) measures glacier surface velocity — identifying accelerating flow zones that precede surge events or increased calving.
Automated Glacier Inventory
Python scripts automating annual glacier boundary extraction from Sentinel-2 NDSI for all 968 glaciers — generating updated glacier inventory statistics for the Uttarakhand Glacier Atlas maintained by Wadia Institute.
“Gangotri glacier’s terminus has retreated over 2.2 km since 1971 — a spatial change documented almost entirely through satellite remote sensing, forming the scientific foundation for Ganga river flow projection studies.”
📡 Key Satellite Datasets for Glacier Monitoring
Landsat 4/5/7/8/9 (30m, 1972–present, NDSI) | Sentinel-2 MSI (10m, annual snow/glacier mapping) | Sentinel-1 SAR (10m, velocity mapping) | SRTM DEM 30m (2000 baseline elevation) | TanDEM-X 12m (2012 elevation, mass balance) | ASTER GDEM (30m) | Cartosat DEM 10m (Indian coverage) | Planet SuperDove (3m, high-frequency monitoring)
4. Case Study: Glacial Lake Outburst Flood (GLOF) Risk Mapping
Identifying Catastrophe Before It Strikes — From Space
On February 7, 2021, a rock-and-ice avalanche from Ronti Peak in Chamoli district triggered a catastrophic flood in the Rishiganga and Dhauliganga valleys, killing over 200 people and destroying two hydropower projects. This event — and the 2013 Kedarnath disaster triggered by glacial lake outburst — underscored the critical need for systematic, satellite-based GLOF risk assessment across Uttarakhand’s 600+ glacial lakes. Remote sensing and GIS are now at the centre of India’s national GLOF early warning programme.
The GLOF Risk Assessment Workflow
Glacial Lake Inventory from Sentinel-2
Automated detection of all glacially-associated water bodies above 3,500m elevation using Sentinel-2 NDWI and NIR band thresholding. Annual inventory updated to detect new lake formation — a key early warning signal, as new lakes forming at receding glacier termini carry the highest GLOF risk.
Dam Type Classification
High-resolution satellite imagery (Cartosat-3, Planet) combined with DEM analysis to classify each glacial lake by dam type: moraine-dammed (highest risk — subject to ice-core melt and overtopping), ice-dammed (risk of sudden drainage), or bedrock-dammed (lowest risk). Each dam type has a different failure mechanism and risk profile.
Lake Area Change Rate Analysis
Multi-temporal Landsat/Sentinel-2 analysis of lake area change rate. Lakes expanding by >10% annually are flagged as high-priority for field inspection and automatic monitoring. The Chamoli 2021 event showed that the Ronti Gad catchment had experienced unusually rapid ice loss in the preceding years — detectable in satellite archives.
Downstream Flood Modelling with DEM
Using HEC-RAS 2D or MIKE FLOOD with high-resolution Cartosat DEM to model downstream inundation extents for various GLOF scenarios (10%, 25%, 50% lake volume release). Outputs directly inform evacuation zone planning and hydropower project risk assessment for THDC and NTPC projects on Uttarakhand rivers.
Risk Zonation & Exposure Mapping
Overlay GLOF inundation extents with population, settlement, road network, and hydropower infrastructure GIS layers to quantify exposure and prioritise early warning sensor deployment. SDMA Uttarakhand uses this analysis for district-level disaster preparedness planning.
🚨 Chamoli 2021 — What Remote Sensing Revealed
Post-event analysis of Sentinel-1 SAR and Sentinel-2 optical imagery mapped the full extent of the debris flow from Ronti Peak to the Tapovan hydropower project in under 24 hours — covering over 12 km of valley inundation. Retrospective analysis of Planet and Landsat archives showed progressive ice destabilisation on the Ronti face in the months preceding the event — a pattern that future automated monitoring systems are designed to detect as an early warning trigger.
5. Case Study: Rispana & Bindal Rivers — Urban Flash Floods in Dehradun
How Satellite Data Exposes Decades of Floodplain Encroachment
The Rispana and Bindal rivers — both originating in the Mussoorie range at ~2,000m elevation and converging near Doiwala before joining the Ganga — are Dehradun’s primary drainage arteries. Together they drain the entire Doon Valley’s 200 sq km urban catchment. Historically perennial streams that supported dense riparian forest, both rivers now exhibit extreme hydrological behaviour: nearly dry in April–May and carrying destructive flash floods in June–September. The primary driver is urban encroachment on their natural floodplains — documented precisely through multi-temporal GIS analysis.
| Year | Riparian Buffer Width (avg) | Impervious Cover in 100m Buffer | Peak Discharge Estimate |
|---|---|---|---|
| 1980 | ~85m natural vegetation | ~12% | Moderate |
| 1995 | ~60m | ~28% | Elevated |
| 2005 | ~42m | ~47% | High |
| 2015 | ~28m | ~65% | Very High |
| 2024 | <15m in urban reaches | ~78% | Extreme |
GIS analysis using Cartosat-3 (0.25m) and Landsat archives quantifies this transformation precisely. The Rispana’s active channel width has been narrowed by encroachment in several urban reaches, reducing conveyance capacity and forcing flood waters into residential areas during monsoon events. The Dehradun flood of August 2023 — which inundated large parts of Ballupur, Kargi Grant, and Dalanwala — was a direct consequence of this reduced channel capacity.
🌿 GIS-Based River Corridor Restoration Planning
THDC, Uttarakhand Jal Sansthan, and Mussoorie Dehradun Development Authority (MDDA) are now using GIS-based riparian corridor analysis — combining Cartosat-3 imagery, DEM floodplain mapping, and historical channel boundary overlays — to identify priority encroachment removal zones and restoration corridors along the Rispana and Bindal for the Smart City Dehradun programme.
6. Ganga & Yamuna Basin GIS Analysis — Headwater to Himalayan Foothills
Dehradun sits at the hydrological apex of both the Ganga and Yamuna systems. The Tehri Dam on the Bhagirathi (a primary Ganga source stream) and the Lakhwar-Vyasi Dam under construction on the Yamuna just upstream of Dehradun are two of northern India’s most important water infrastructure projects — both designed, monitored, and managed using GIS and remote sensing.
Tehri Reservoir Monitoring
Sentinel-2 NDWI time-series tracks Tehri reservoir storage levels, sedimentation at the delta of the Bhilangana tributary, and downstream Bhagirathi flow impacts — data used by THDC for real-time reservoir operations management.
Ganga Headwater Basin Mapping
DEM-based delineation of the Bhagirathi, Alaknanda, Mandakini, and Pindar sub-catchments — quantifying their individual contributions to total Ganga discharge and modelling how glacier retreat will alter seasonal flow regimes by 2050.
Riparian Forest Monitoring
Sentinel-2 NDVI time-series monitoring of riparian forest cover along Ganga tributaries — critical for assessing compliance with NGT riparian zone protection orders and modelling bank erosion risk as forest cover declines.
Bank Erosion & Channel Migration
Multi-date Cartosat and Landsat imagery tracks lateral channel migration and bank erosion of the Tons, Song, and Suswa rivers in the Doon Valley — informing road and bridge vulnerability assessment for NHAI and PWD Uttarakhand.
7. Robber’s Cave & Urban Spring Monitoring — Mapping Hidden Water
Tracking the Decline of Dehradun’s Iconic Underground Stream
Robber’s Cave (Guchhupani) — a 600-metre natural limestone cave system through which the Suswa river emerges as a series of springs and waterfalls — is Dehradun’s most visited natural heritage site. The cave’s water flow, once strong enough to carve the gorge, has declined dramatically over the past three decades. The reason is spatial: unplanned urban expansion over the cave’s recharge zone has replaced permeable forest and agricultural land with impervious rooftops, roads, and concrete pavements — reducing groundwater infiltration that feeds the spring system.
GIS analysis using multi-temporal LULC classification (1988 Landsat TM vs 2024 Sentinel-2) of the Robber’s Cave recharge catchment (~8 sq km) shows impervious cover increasing from approximately 18% in 1988 to over 64% in 2024 — a transformation that directly explains the spring’s observed flow decline. This type of urban recharge zone analysis is now being applied across Dehradun’s broader spring network — the city has over 200 documented naulas (traditional step-wells fed by springs), most of which have dried up or reduced significantly.
🌿 Spring Shed Mapping Initiative
Uttarakhand Jal Sansthan and the National Institute of Hydrology (Roorkee) are conducting GIS-based spring shed (recharge catchment) delineation for over 500 springs across Garhwal and Kumaon divisions — using DEM analysis, hydrogeological mapping, and LULC change assessment to identify priority recharge conservation zones. GIS analysts trained in QGIS and ArcGIS Pro are central to this programme.
8. Flash Flood & Landslide-Induced Debris Flow Mapping in Uttarakhand
Uttarakhand experiences some of the world’s most destructive flash floods and landslide events — a consequence of its steep terrain, intense monsoon rainfall, seismically active geology, and rapidly expanding road network that destabilises fragile Himalayan slopes. The 2013 Kedarnath disaster, the 2021 Chamoli flood, and annual monsoon flash floods in Haridwar, Rishikesh, Tehri, and Pithoragarh districts collectively underscore the life-or-death importance of GIS-based hazard mapping.
| Technique | Data Source | Application |
|---|---|---|
| SAR Coherence Change Detection | Sentinel-1 InSAR | Pre-event ground deformation mapping — detects hillslope instability weeks before failure |
| Landslide Inventory Mapping | Cartosat-3 / Planet (3m) | Post-event mapping of all landslide scars, debris tongues, and channel blockages |
| Debris Flow Channel Mapping | Sentinel-1 SAR + DEM | Mapping landslide-dammed lake formation and downstream flood routing |
| Flash Flood Susceptibility Zonation | DEM + Geology + LULC + Rainfall | Multi-criteria GIS hazard map for district-level SDMA planning |
| Road Network Vulnerability | DEM + Landslide inventory + NHAI GIS | Identifying NH-58 and NH-7 sections at highest risk of closure during monsoon |
| Post-event Damage Assessment | VHR: Cartosat-3 / Planet | Rapid infrastructure damage mapping for NDRF and revenue department assessment |
⚠️ Kedarnath 2013 — The Geospatial Forensics
The June 2013 Kedarnath disaster — triggered by a combination of Chorabari glacial lake outburst and extreme rainfall — killed over 5,000 people and caused ₹4,200 crore in infrastructure damage. Post-event GIS analysis using Cartosat and RISAT-1 SAR data mapped the debris deposit extent (over 3 sq km), quantified channel aggradation depth, and identified new landslide-dammed lakes that required emergency drainage. This analysis directly shaped the updated GLOF and flash flood hazard zonation maps now used by SDMA Uttarakhand.
9. Doon Valley Groundwater Potential Zone Mapping
The Doon Valley sits on a productive alluvial aquifer system recharged by infiltration from the Rispana, Bindal, Song, Suswa, and Asan rivers — and from direct rainfall infiltration through the forested Shivalik slopes. However, rapid urbanisation of Dehradun has both increased groundwater demand and dramatically reduced recharge by replacing permeable surfaces with impervious urban cover.
Groundwater Potential Zones
Multi-criteria weighted overlay of geology (Siwalik vs. alluvium), geomorphology, LULC, soil, slope, and drainage density layers in QGIS/ArcGIS to delineate high, moderate, and low groundwater potential zones across the Doon Valley — guiding borewell siting and artificial recharge planning.
Recharge Zone Identification
DEM-derived slope and curvature layers combined with forest cover maps to identify remaining permeable recharge areas in peri-urban Dehradun — informing MDDA’s development restriction zones to protect the Doon aquifer.
Aquifer Storage Change Monitoring
NASA GRACE satellite gravity data processed through GEE to estimate groundwater storage anomalies in the Doon Valley — detecting multi-year depletion trends that are invisible to individual borewell measurements.
Fracture Zone Mapping
Landsat 8 band-ratio and IHS fusion imagery used to extract tectonic lineaments in the Shivalik and Lesser Himalayan formations flanking the Doon Valley — identifying fracture-controlled secondary aquifers critical for rural water supply in hill blocks.
10. Tools, Software & Satellite Data for Water Resources GIS in Uttarakhand
QGIS (Free & Open-source)
Primary desktop GIS platform. GRASS hydrology tools (r.watershed), Semi-Automatic Classification Plugin for glacier and water body mapping, SAGA terrain analysis for DEM-based hazard mapping across Uttarakhand.
ArcGIS Pro
Used by Survey of India, Forest Survey of India, THDC, and USAC. Hydrology toolset, 3D Analyst for Himalayan terrain visualisation, Spatial Analyst for GLOF inundation modelling and GWPZ weighted overlay.
Google Earth Engine (GEE)
Cloud processing of 50-year glacier archives, annual NDSI snow cover mapping, Sentinel-1 SAR flood detection, and GRACE groundwater anomaly analysis — all at Uttarakhand basin scale in minutes.
Python for GIS
GeoPandas, Rasterio, geemap, scikit-learn — automated glacier boundary extraction, GLOF lake monitoring scripts, machine learning landslide susceptibility models, and NIH/USAC data pipeline automation.
ESA SNAP + StaMPS/MintPy
Sentinel-1 SAR pre-processing and InSAR processing (MintPy/StaMPS) for ground deformation monitoring on Uttarakhand’s unstable slopes — detecting pre-failure deformation above major infrastructure and settlements.
HEC-RAS / MIKE FLOOD
1D/2D hydraulic modelling software for GLOF inundation simulation and Rispana/Bindal flash flood routing — integrated with Cartosat DEM in GIS environments for Dehradun urban flood risk mapping.
📡 Primary Satellite Data Sources for Uttarakhand
Sentinel-2 MSI (10m, glacier/lake/LULC mapping) | Sentinel-1 SAR (10m, flood/landslide/InSAR) | Landsat 4–9 (30m, 1972–present archive) | Planet SuperDove (3m, high-frequency GLOF monitoring) | Cartosat-3 (0.25m, urban encroachment/channel mapping) | SRTM DEM 30m | TanDEM-X 12m | Cartosat DEM 10m | ALOS PALSAR DEM | NASA GRACE (groundwater storage)
11. Career Scope for GIS Professionals in Dehradun & Uttarakhand
Dehradun is arguably India’s most geospatially concentrated city — the density of national-level geospatial institutions per square kilometre is unmatched anywhere else in the country. For GIS and Remote Sensing professionals, this creates exceptional career depth.
IIRS — Indian Institute of Remote Sensing
ISRO’s premier remote sensing research and training institute, headquartered in Dehradun. Recruits remote sensing scientists, GIS analysts, and spatial data engineers across its natural resources, disaster management, and urban planning divisions.
Survey of India
National mapping agency headquartered in Dehradun. GIS and photogrammetry specialists for national topographic database maintenance, LiDAR processing, and digital elevation model production.
Forest Survey of India
National forest cover assessment, mangrove and wetland monitoring, and deforestation analysis — all requiring satellite remote sensing specialists. FSI’s national headquarters is in Dehradun.
National Institute of Hydrology
NIH Roorkee (45 min from Dehradun) recruits hydrological GIS scientists for watershed modelling, flood frequency analysis, glacier hydrology, and groundwater research — one of India’s top hydrological research employers.
Wadia Institute of Himalayan Geology
Himalayan glacier monitoring, seismic hazard GIS, and mountain hydrology research. Recruits GIS specialists with expertise in Himalayan terrain analysis and cryosphere remote sensing.
THDC India / NTPC
Hydropower project GIS for catchment mapping, reservoir sedimentation monitoring, GLOF risk assessment, and infrastructure vulnerability analysis. THDC’s main office is in Rishikesh, 45 min from Dehradun.
GIS salary benchmarks in Dehradun range from ₹4–7 LPA for entry-level analysts, ₹8–16 LPA for mid-level remote sensing specialists, and ₹18–35+ LPA for senior geospatial scientists at IIRS, Wadia Institute, or THDC with 5+ years of Himalayan hydrology or glacier remote sensing expertise.
12. GIS Course in Dehradun — Learn With Space Borne
If you are in Dehradun — whether you are a geology or civil engineering graduate, a professional at IIRS or Survey of India, an environment consultant, or a student targeting Uttarakhand’s exceptional geospatial job market — Space Borne offers the most rigorous and professionally focused GIS and Remote Sensing training available through live online delivery.
🎓 About Space Borne
Space Borne (SRDC — Swain Research & Development Centre) is an ISO 9001:2015 certified and MSME registered geospatial training institute based in Bhubaneswar with live online programmes accessible from Dehradun. Every course is taught live by practising GIS and remote sensing professionals — not pre-recorded. Assignments use real Himalayan, Uttarakhand, and multi-city datasets.
Courses Most Relevant to Dehradun’s Geospatial Sector
QGIS — Foundation to Advanced
Glacier NDSI mapping, watershed delineation, GLOF risk zonation, flash flood susceptibility analysis — demonstrated with Uttarakhand case study datasets in QGIS’s open-source environment.
ArcGIS Pro
Industry platform used by Survey of India, IIRS, and THDC. Hydrology toolset, 3D terrain analysis, spatial analyst overlays — the standard for government and PSU GIS roles in Dehradun.
Google Earth Engine
50-year glacier area change analysis, annual snow cover mapping, Sentinel-1 GLOF flood detection — all demonstrated on Uttarakhand Himalayan datasets using GEE JavaScript and Python API.
Python for GIS
GeoPandas, Rasterio, geemap — automated glacier boundary extraction, Rispana river LULC change analysis, machine learning landslide susceptibility modelling for Uttarakhand hill districts.
Remote Sensing Fundamentals
SAR pre-processing, optical classification, NDSI/NDWI/DEM analysis — applied specifically to cryosphere, Himalayan river, and mountain hazard remote sensing contexts.
Master Geospatial Programme (6 Months)
Complete professional toolkit — QGIS, ArcGIS Pro, GEE, Python, Remote Sensing, PostGIS, WebGIS — structured for IIRS, Survey of India, NIH, and THDC-level careers in Dehradun.
✅ Why Dehradun Professionals Choose Space Borne
Live online instruction — attend from Dehradun with no travel required. ISO 9001:2015 certified curriculum quality. MSME registered — THDC, NTPC, and PSU employees may claim training subsidies. Himalayan & water resources case studies built into course assignments. Practitioner faculty with real project experience. Affordable EMI from ₹4,999/month.
Ready to Master GIS & Remote Sensing From Dehradun?
Join professionals across Uttarakhand who are building careers at IIRS, Survey of India, NIH, THDC, and SDMA using geospatial skills from Space Borne. Live online — attend from your home or office in Dehradun.
13. Frequently Asked Questions — GIS Course in Dehradun
What is the best GIS course in Dehradun for water resources and environment professionals?
Space Borne offers live online GIS and Remote Sensing courses covering QGIS, ArcGIS Pro, Google Earth Engine, Remote Sensing, and Python for GIS — fully accessible from Dehradun. The curriculum includes Himalayan hydrology applications such as glacier monitoring, GLOF risk mapping, Rispana river flood analysis, and groundwater potential zone mapping. Contact +91-8895209346 or visit www.spaceborne.in.
How is GIS used for glacier monitoring in Uttarakhand?
GIS and remote sensing are used to map glacier area change using Landsat/Sentinel-2 NDSI, measure glacier thinning through DEM differencing (SRTM vs TanDEM-X), map debris-covered glacier extent using thermal infrared analysis, track glacier surface velocity using SAR offset tracking, and detect new supraglacial lake formation — all critical inputs for Ganga river flow projection and GLOF early warning systems.
What is GLOF and how is remote sensing used for GLOF mapping?
GLOF (Glacial Lake Outburst Flood) is the sudden catastrophic release of water from a glacially dammed lake. Remote sensing is used to inventory all glacial lakes using Sentinel-2 NDWI, classify dam type (moraine vs ice), monitor lake area change rates, and model downstream inundation using DEM-based hydraulic modelling — enabling SDMA Uttarakhand to prioritise early warning deployment and evacuation zone planning before outburst events occur.
Which organisations in Dehradun hire GIS professionals?
Major employers include IIRS (ISRO), Survey of India, Forest Survey of India, Wadia Institute of Himalayan Geology, National Institute of Hydrology (Roorkee), THDC India, NTPC, Uttarakhand Space Application Centre (USAC), SDMA Uttarakhand, and private environmental consultancies. Dehradun has the highest concentration of national geospatial institutions in India.
What is causing Robber’s Cave to lose water flow in Dehradun?
GIS-based LULC analysis of Robber’s Cave’s recharge catchment shows impervious urban cover increasing from ~18% in 1988 to ~64% in 2024. This massive reduction in permeable surface area has dramatically reduced groundwater infiltration that feeds the spring system underlying the cave, causing the observed flow decline. The same process is affecting over 200 traditional naulas (spring-fed step-wells) across Dehradun.
Can I learn GIS online from Dehradun with Space Borne?
Yes. All Space Borne courses are delivered as live online classes accessible from anywhere in India including Dehradun. You receive course materials, hands-on project assignments using real datasets, expert mentoring, and an ISO 9001:2015 certified completion certificate recognised by employers across India.
What GIS software will I learn at Space Borne?
Space Borne teaches QGIS, ArcGIS Pro, Google Earth Engine (JavaScript and Python API), ERDAS Imagine, Python for GIS (GeoPandas, Rasterio, Shapely, geemap), PostGIS, and WebGIS tools including Leaflet.js and GeoServer. All tools directly relevant to the workflows used at IIRS, Survey of India, Wadia Institute, and THDC.
Get in Touch — Space Borne
ISO 9001:2015 & MSME Certified Geospatial Training Institute
