1. Odisha’s Water Resources — A State of Extraordinary Richness and Vulnerability
Odisha is among the most water-rich states in India — and simultaneously one of the most water-vulnerable. The state is drained by twelve major river systems including the Mahanadi, Brahmani, Baitarani, Subarnarekha, and Rushikulya, all emptying into the Bay of Bengal through a vast, ecologically complex delta system. It holds Chilika Lake — Asia’s largest coastal lagoon and a Ramsar Wetland of International Importance — and Ansupa Lake, Odisha’s largest freshwater lake.
Yet this abundance is matched by exceptional vulnerability. Odisha’s coastal districts experience cyclonic storm surges, the Mahanadi delta floods almost every monsoon, Chilika’s ecology is under pressure from freshwater inflow changes and prawn aquaculture encroachment, and Ansupa Lake has been shrinking alarmingly due to sedimentation and agricultural encroachment. Nearly 33% of Odisha’s geographical area is flood-prone — the highest of any Indian state.
Managing these systems demands a level of spatial intelligence that only GIS, Remote Sensing, and Geospatial Science can provide — and Bhubaneswar, as the state capital and home of OSDMA, ORSAC, and multiple water management agencies, sits at the centre of that demand.
⚡ Why Bhubaneswar Is India’s Next Geospatial Hub
Bhubaneswar hosts ORSAC (Odisha Remote Sensing Application Centre), OSDMA (Odisha State Disaster Management Authority), Odisha Water Resources Department, NRSC field stations, and a growing cluster of GIS-driven start-ups and consultancies. The city’s geospatial job market is expanding rapidly — a GIS course in Bhubaneswar is one of the most strategically valuable investments you can make.
2. Why GIS & Remote Sensing Are Critical for Odisha’s Water Systems
Odisha’s water challenges span a vast geographical canvas — from the Western Ghats-edge catchments of the Mahanadi to the mangrove-fringed tidal flats of the Bhitarkanika. No field survey team can monitor this entire system continuously. Satellites and GIS can.
Satellite Time-Series Analysis
Track decadal changes in Chilika’s water spread, Ansupa’s shrinkage, and Mahanadi’s channel migration using Landsat archives going back to 1972.
Cyclone Storm Surge Mapping
SAR data from Sentinel-1 and RISAT-1A can map inundation extents within hours of a cyclone landfall — critical for Odisha’s OSDMA response operations.
Wetland Boundary Delineation
Precise lake and wetland boundaries for Chilika, Ansupa, Bhitarkanika, and Hirakud reservoir from high-resolution satellite data for legal and conservation planning.
Salinity & Water Quality Proxy
Sentinel-2 spectral indices provide spatial maps of turbidity, Chl-a, and suspended sediment across Chilika’s three ecological zones — impossible with point-based field monitoring alone.
Cloud-Scale GEE Processing
Google Earth Engine enables 50-year NDWI analysis of the entire Mahanadi basin in minutes — including seasonal inundation frequency maps used by ODRAF planners.
Mangrove & Coastal Monitoring
Bhitarkanika’s mangrove forests — the second largest in India — are monitored for area change, species composition proxy, and cyclone damage using multispectral and SAR data.
3. Case Study: Chilika Lake — Asia’s Largest Coastal Lagoon
Monitoring a 1,100 sq km Living Laboratory From Space
Chilika Lake is not just Odisha’s most iconic water body — it is a complex, dynamic coastal lagoon connecting freshwater inflows from 52 rivers and rivulets with the saline waters of the Bay of Bengal through a narrow sea mouth. Its ecological health depends on a delicate salinity gradient across three zones: the Northern Sector (freshwater-dominated), the Central Sector (brackish, richest in fish and birds), and the Southern Sector (near-marine). Monitoring this gradient spatially — across 1,100 sq km — is a task uniquely suited to remote sensing and GIS.
What Remote Sensing Reveals About Chilika
Time-series analysis of Landsat (1972–present) and Sentinel-2 (2017–present) imagery reveals several critical trends in Chilika’s hydrology. The most dramatic was the progressive closure of the original sea mouth due to longshore sediment drift, which by 1999 had reduced the inlet width to just 5–6 metres, causing severe salinity decline, macrophyte expansion, and fish catch collapse.
The opening of a new sea mouth at Satpada in 2000 — and its subsequent monitoring entirely through satellite-derived water quality indices — is considered one of India’s most successful GIS-assisted wetland restoration interventions. NDWI, NDTI (turbidity), and Chl-a indices derived from satellite imagery provided the spatial evidence that guided the restoration decision and continues to track recovery.
Water Spread Mapping
Seasonal and inter-annual water extent mapping to track the lagoon’s response to monsoon inflows, cyclones, and sea mouth dynamics — from pre-monsoon minimum to post-monsoon maximum.
Macrophyte Encroachment
NDVI and NDWI combined to map submerged and emergent macrophyte beds (especially Potamogeton sp.) that reduce fish habitat — a key indicator of freshwater inflow excess.
Prawn Gheri Mapping
High-resolution LISS IV and Cartosat data used to map illegal prawn aquaculture enclosures (gheris) within the lagoon — a persistent enforcement challenge for Chilika Development Authority.
Salinity Proxy Zonation
Band ratio algorithms correlating Sentinel-2 reflectance with field salinity measurements to produce spatial salinity gradient maps — a tool for fishery management across the three ecological zones.
Cyclone Inundation Mapping
Post-cyclone flood extent mapping using Sentinel-1 SAR to assess surge intrusion into the northern sector — used by CDA and OSDMA for rapid damage assessment.
Irrawaddy Dolphin Habitat
Spatial habitat suitability modelling for Chilika’s critically important Irrawaddy dolphin population — integrating bathymetry, water quality indices, and boat traffic density layers.
“Satellite monitoring of Chilika reduced the cost of annual ecological assessment by an estimated 70% compared to field-only surveys — while providing spatial coverage that field teams could never achieve across 1,100 sq km.”
📡 Key Satellite Datasets for Chilika
Sentinel-2 MSI (10m, water quality indices) | Landsat 8/9 (30m, multi-decadal change) | Resourcesat-2A LISS IV (5.8m, boundary delineation) | Cartosat-3 (0.25m, prawn gheri mapping) | Sentinel-1 SAR (10m, cyclone flood extent) | IRS-1C/1D LISS III archives (1995–2010, historical baseline)
4. Case Study: Ansupa Lake — Odisha’s Largest Freshwater Lake Under Threat
Tracking a Lake’s Disappearance Through 50 Years of Satellite Data
Ansupa Lake, situated near Banki in Cuttack district, is an oxbow lake formed by a palaeochannel of the Mahanadi river. Covering approximately 230 hectares at full capacity, it supports rich freshwater biodiversity and is a recognised bird sanctuary. However, decades of agricultural encroachment on its margins, sedimentation from upstream deforestation, and reduced freshwater inflows from Mahanadi diversion have caused Ansupa to shrink steadily — losing an estimated 35–40% of its original water surface area since 1970.
GIS-based multi-temporal analysis using Landsat archives clearly maps this trajectory. NDWI derived from Landsat 2 MSS (1976) compared against Sentinel-2 imagery (2024) reveals not just area loss but the spatial pattern of encroachment — predominantly from the eastern and southern margins, corresponding to paddy cultivation zones.
| Year | Satellite / Sensor | Estimated Water Area | Change vs 1976 |
|---|---|---|---|
| 1976 | Landsat 2 MSS | ~225 ha (monsoon peak) | Baseline |
| 1990 | Landsat 5 TM | ~198 ha | −12% |
| 2005 | IRS-1D LISS III | ~173 ha | −23% |
| 2015 | Landsat 8 OLI | ~152 ha | −32% |
| 2024 | Sentinel-2 MSI | ~138 ha (dry season) | −39% |
Beyond area monitoring, GIS is used to map the catchment hydrology of Ansupa’s inflow channels, model sedimentation rates from upstream LULC change, and identify suitable locations for silt traps and restoration bunds. Bathymetric surveys integrated with GIS are now being used by the Odisha Forest Department to model restoration scenarios — how much water storage capacity can be recovered through dredging and embankment restoration.
🌿 Restoration GIS — Ansupa Rescue Plan
A GIS-based restoration feasibility study for Ansupa has mapped 18 priority intervention zones — combining catchment hydrology models, encroachment extent analysis, and bird habitat suitability scores — providing the Odisha Forest Department with a spatially explicit conservation action plan that could recover up to 45 hectares of lake area.
5. Case Study: Mahanadi River & Delta — GIS for India’s Flood Lifeline
Mapping India’s Most Flood-Prone Delta From Orbit
The Mahanadi — meaning “Great River” — drains 141,600 sq km across Chhattisgarh and Odisha, discharging into the Bay of Bengal through a vast delta covering Cuttack, Jagatsinghpur, Kendrapara, and Puri districts. The Hirakud Dam (Sambalpur), the longest earthen dam in the world, regulates the river’s upper flow — but the delta system below Naraj barrage floods almost every monsoon, affecting millions of people across the coastal plain.
Flood Mapping in the Mahanadi Delta
The Mahanadi delta’s annual flood cycle is one of the most extensively studied inundation systems in India using remote sensing. The combination of Sentinel-1 SAR (which sees through monsoon cloud cover), Sentinel-2 optical (for pre/post-flood NDWI comparison), and DEM-based floodplain modelling provides OSDMA with near-real-time spatial intelligence during flood events.
Real-time Flood Extent
Sentinel-1 SAR data processed within 6–12 hours of acquisition provides cloud-free flood maps across the Mahanadi delta — directly used by OSDMA for evacuation route planning and relief deployment.
Floodplain Delineation
Cartosat DEM (10m) integrated with Mahanadi discharge data to model flood extents for 10-, 25-, and 100-year return periods — essential for Odisha’s riverine district land-use planning.
50-Year Inundation Frequency
Google Earth Engine analysis of Landsat archives (1972–2024) produces inundation frequency maps showing which delta areas flood every year vs. once a decade — a key input for settlement planning.
Channel Migration Mapping
Multi-date Landsat imagery documents how Mahanadi’s distributary channels (Kathjori, Birupa, Luna) have shifted over 50 years — data critical for delta morphology research and embankment planning.
Watershed Delineation of the Upper Mahanadi Basin
The Mahanadi’s upper catchment in Chhattisgarh — where extensive irrigation diversions have reduced flows reaching Odisha — is a critical study area for GIS-based watershed hydrology. DEM-based basin delineation, LULC change analysis (forest to agriculture/urban), and SCS-CN runoff modelling are being used to quantify how upstream land-use change affects flood peaks and dry-season low flows downstream.
SRTM/Cartosat DEM Acquisition
Download 30m SRTM DEM for the entire Mahanadi basin (UTM Zone 44N). Apply sink-fill correction using SAGA in QGIS. For delta areas use Cartosat 10m DEM for higher floodplain accuracy.
Basin & Sub-watershed Delineation
Use QGIS GRASS r.watershed or ArcGIS Hydrology toolset to delineate the 12 major sub-watersheds of the Mahanadi basin. Pour points placed at Hirakud Dam, Naraj Barrage, and major delta distributary junctions.
LULC Classification from Sentinel-2
Perform supervised maximum-likelihood or Random Forest classification on Sentinel-2 imagery (10m) for the basin. Generate 7-class LULC map: forest, agriculture, urban, water body, scrub, fallow, wetland.
Runoff Estimation via SCS-CN Method
Overlay LULC map with NBSS&LUP soil hydrological groups to compute SCS Curve Number for each sub-watershed. Combine with IMD rainfall grids to estimate design flood discharges for Naraj gauging station.
Delta Inundation Modelling
Feed discharge estimates into 2D HEC-RAS or MIKE FLOOD model with Cartosat DEM to simulate flood inundation extents for Cuttack, Jagatsinghpur, and Kendrapara districts — validated against Sentinel-1 SAR flood maps.
6. Brahmani, Baitarani & Coastal Rivers — Geospatial Analysis
While the Mahanadi commands most attention, Odisha’s northern river systems — the Brahmani and Baitarani — form a combined delta with the Mahanadi near Kendrapara, creating the Bhitarkanika mangrove ecosystem. The Rushikulya in the south supports Odisha’s largest Olive Ridley sea turtle nesting aggregations. Each of these systems has unique GIS application contexts.
Brahmani River — Industrial Impact Monitoring
The Brahmani passes through Odisha’s industrial heartland — Rourkela Steel Plant, NALCO, and the Jharsuguda industrial belt. GIS-based water quality proxies (turbidity, NDCI) from Sentinel-2 are used to monitor industrial discharge impacts on the river channel and floodplain ecosystems downstream.
Baitarani River — Flood & Channel Dynamics
The Baitarani’s steep gradient in Keonjhar district produces flash flood events that are mapped using SAR and DEM analysis. Channel planform changes from Landsat time-series reveal how the river has laterally migrated in response to monsoon flood events and embankment modifications.
Rushikulya — Coastal Erosion & Nesting Habitat
Sentinel-2 and Cartosat-3 data are used to monitor coastal erosion at Rushikulya estuary — one of India’s three mass nesting sites for Olive Ridley turtles. GIS overlays of nesting density, erosion rates, and trawling zones inform FOREST department conservation zoning decisions.
Bhitarkanika — Mangrove Delta GIS
The Brahmani-Baitarani delta mangroves are monitored for area change (1973–present), species-level proxy mapping using hyperspectral indices, cyclone damage assessment, and invasive species spread — using a combination of LISS IV, Sentinel-2, and SAR data.
7. Cyclone & Flood Inundation Mapping — Odisha’s Critical GIS Application
Odisha is the most cyclone-affected state in India. Since 1999’s Super Cyclone (which killed over 10,000 people), the state has built the world’s most advanced tropical cyclone preparedness system — and satellite remote sensing and GIS are integral to every layer of that system.
| Technique | Satellite / Data | Application | Agency Using It |
|---|---|---|---|
| SAR Flood Extent Mapping | Sentinel-1 GRD (10m) | Cloud-free inundation mapping during cyclone/monsoon | OSDMA, ORSAC |
| Storm Surge Modelling | Cartosat DEM + ADCIRC | Coastal inundation depth prediction for cyclone track scenarios | IMD, INCOIS |
| Multi-date NDWI Differencing | Sentinel-2 / Landsat 8 | Pre/post-flood water body expansion mapping | ORSAC, NRSC |
| Inundation Frequency Mapping | Landsat archive (GEE) | 50-year flood frequency map for coastal district planning | Odisha WRD, BBSR |
| Damage Assessment | VHR: Cartosat-3 / Planet | Post-cyclone crop/infrastructure damage for NDRF claims | Revenue Dept., ORSAC |
🌀 Cyclone Fani (2019) — A Case Study in GIS-Enabled Response
Cyclone Fani (May 3, 2019) — the most powerful cyclone to hit Odisha in 20 years — made landfall near Puri with 185 km/h sustained winds. Sentinel-1 SAR imagery processed within 12 hours of landfall provided OSDMA with inundation extent maps covering 14 coastal districts. Pre-loaded GIS databases of population, road networks, cyclone shelters, and relief centre locations enabled the evacuation of 1.2 million people in under 48 hours with less than 65 casualties — a figure that stands as a global benchmark in disaster preparedness.
8. Groundwater Potential Zone Mapping Across Odisha
Despite high rainfall, many of Odisha’s tribal-majority western and southern districts — Kalahandi, Bolangir, Nuapada, Kandhamal — face severe seasonal water scarcity. The underlying geology of Precambrian hard rocks (khondalites, charnockites, granites) has limited aquifer storage, making GIS-based groundwater potential zone (GWPZ) mapping essential for targeting borewell sites and check dam locations.
Lineament Extraction
Tectonic lineaments (fracture zones, fault traces) in hard-rock terrain are extracted from Landsat 8 Band 6/7 IHS fused imagery using edge detection algorithms. High lineament density correlates with secondary porosity aquifer zones in Odisha’s Archaean basement.
Multi-criteria AHP Analysis
Geology, geomorphology, soil, LULC, drainage density, slope, and lineament density layers weighted using AHP in QGIS or ArcGIS to produce GWPZ maps — very high, high, moderate, low, very low — for district-level groundwater planning in Kalahandi and Bolangir.
Recharge Zone Identification
Combining DEM-derived slope, soil infiltration capacity, and LULC to map groundwater recharge potential zones — identifying where Odisha’s rainfall most efficiently recharges aquifers rather than running off as surface flow.
Borewell Success Prediction
Machine learning models trained on CGWB historical borewell data (depth, yield, lithology) integrated with GIS-derived spatial predictors to predict borewell success probability — reducing dry borewell rates in hard-rock districts of western Odisha.
9. Coastal Wetlands & Mangrove Monitoring — Protecting Odisha’s Green Shield
Odisha’s 480km coastline supports a rich mosaic of mangrove forests, estuarine wetlands, mud flats, and sea grass beds that provide the first line of defence against cyclonic storm surges. Bhitarkanika National Park holds the second largest mangrove forest in India after the Sundarbans — covering approximately 672 sq km. Monitoring their health and extent requires dedicated remote sensing workflows.
🌿 Mangrove Mapping with Sentinel-2 & SAR
A combined approach using Sentinel-2 NDVI + Red Edge bands for species-level proxy mapping and Sentinel-1 SAR dual-polarization (VV+VH) for canopy structure assessment provides the most accurate mangrove extent and health maps for Bhitarkanika. Annual change detection using this approach can detect clearing events as small as 0.5 hectares — critical for anti-encroachment enforcement. The Odisha Forest Department has integrated this methodology into its annual monitoring protocol through ORSAC.
Beyond Bhitarkanika, the Chilika-Balugaon coastal stretch, the Devi river mouth, and the Rushikulya estuary all support smaller but ecologically critical mangrove patches that are mapped and monitored using the same satellite workflow. Sea grass beds in the Chilika southern sector are mapped using Sentinel-2 near-infrared and red-edge reflectance — providing critical habitat data for the lagoon’s dugong and sea turtle populations.
10. Tools, Software & Satellite Data for Water Resources GIS in Odisha
QGIS (Free & Open-source)
Primary desktop GIS platform. GRASS hydrology tools (r.watershed), Semi-Automatic Classification Plugin for NDWI/NDVI, and OTB (Orfeo ToolBox) integration for SAR classification.
ArcGIS Pro
Used by ORSAC, Odisha WRD, and government agencies for hydrology modelling, spatial analyst overlays for GWPZ, and geodatabase management of state water body inventories.
Google Earth Engine (GEE)
Essential for 50-year Chilika/Ansupa lake change detection, Mahanadi inundation frequency mapping, and cyclone damage assessment — all processed on Google’s cloud infrastructure.
Python for GIS
GeoPandas, Rasterio, Shapely, geemap, and scikit-learn for automated processing of Odisha’s multi-temporal satellite archive, GWPZ machine learning models, and OSDMA flood data pipelines.
ESA SNAP Toolbox
Sentinel-1 SAR pre-processing (orbit correction, calibration, terrain flattening, speckle filtering) for Mahanadi flood mapping and Bhitarkanika mangrove SAR classification.
PostGIS + GeoServer
Spatial database and web map server for hosting Odisha’s lake inventory, river network, borewell, and flood shelter GIS datasets — underpinning OSDMA’s public WebGIS disaster portals.
📡 Primary Satellite Data Sources for Odisha
Sentinel-2 MSI (10m optical) | Sentinel-1 SAR (10m, C-band, cloud-penetrating) | Landsat 4/5/7/8/9 (30m, 1972–present archive) | Resourcesat-2A LISS IV (5.8m, Indian satellite) | Cartosat-3 (0.25m, boundary delineation) | RISAT-1A (L-band SAR, penetrates vegetation) | SRTM 30m DEM | Cartosat DEM 10m | ALOS PALSAR DEM
11. Career Scope for GIS Professionals in Bhubaneswar & Odisha
Bhubaneswar’s emergence as a Smart City and Odisha’s leadership in disaster preparedness and natural resource management have created a robust and growing job market for geospatial professionals.
ORSAC
Odisha Remote Sensing Application Centre is the state’s nodal agency for satellite-based natural resource management — employing GIS analysts, remote sensing scientists, and WebGIS developers.
OSDMA
Odisha State Disaster Management Authority employs GIS officers for cyclone preparedness mapping, flood risk zonation, shelter location analysis, and real-time satellite monitoring dashboards.
Odisha Water Resources Dept.
The WRD employs GIS professionals for irrigation command area mapping, dam safety monitoring, river morphology analysis, and canal network management GIS.
Odisha Forest Department
Mangrove monitoring, wildlife corridor GIS, forest cover assessment, and eco-sensitive zone mapping — all requiring remote sensing and GIS specialists across the state’s 33% forest cover area.
Bhubaneswar Smart City
Urban GIS for stormwater network management, green space mapping, land-use planning, and utility infrastructure — the Bhubaneswar Development Authority has an active GIS cell.
Research & Consultancies
NRSC field offices, IIT Bhubaneswar, NIT Rourkela, and private environmental consultancies (ERM, WSP, AECOM with Bhubaneswar operations) hire GIS analysts for water, environment, and infrastructure projects.
12. GIS Course in Bhubaneswar — Learn With Space Borne
If you are in Bhubaneswar — whether you are an engineering graduate, a government officer, an environment professional, or a student building a geospatial career — Space Borne is Odisha’s most established and credentialed GIS and Remote Sensing training institute.
🎓 About Space Borne — Bhubaneswar’s Own GIS Institute
Space Borne (SRDC — Swain Research & Development Centre) is headquartered in Bhubaneswar, Odisha. It is ISO 9001:2015 certified for training quality management and MSME registered — making it the only professionally accredited geospatial training institute based in Odisha. Training is available both as live in-person classroom sessions in Bhubaneswar and as live online courses accessible anywhere in India.
Courses Mapped to Odisha’s Water Resources & Environment Sector
QGIS — Foundation to Advanced
NDWI lake mapping, watershed delineation, flood risk analysis, mangrove classification — demonstrated on Chilika, Ansupa, and Mahanadi datasets from QGIS’s open-source toolset.
ArcGIS Pro
Industry platform used by ORSAC and Odisha WRD. Hydrology toolset, spatial analyst overlays, geodatabase management — the standard for government GIS jobs in Odisha.
Google Earth Engine
50-year Chilika water spread analysis, Mahanadi inundation frequency mapping, cyclone damage assessment — all demonstrated on real Odisha case studies in GEE.
Python for GIS
GeoPandas, Rasterio, geemap — automated batch processing of Odisha’s lake network and river system satellite archives, GWPZ machine learning models.
Remote Sensing Fundamentals
SAR pre-processing for flood mapping, optical classification for LULC, NDWI/NDVI/LST index computation — all applied to Odisha’s coastal and riverine datasets.
Master Geospatial Programme (6 Months)
Complete professional toolkit — QGIS, ArcGIS Pro, GEE, Python, Remote Sensing, PostGIS, WebGIS — structured for ORSAC, OSDMA, and WRD-level careers in Odisha.
✅ Why Odisha Professionals Choose Space Borne
Bhubaneswar-based institute — attend classroom sessions locally or live online from anywhere. ISO 9001:2015 certified curriculum quality. MSME registered — eligible for government employee training subsidies. Practitioner-led faculty with hands-on experience in ORSAC, WRD, and OSDMA-type workflows. Assignments use real Odisha datasets — Chilika, Ansupa, Mahanadi, Bhitarkanika. Affordable EMI options from ₹4,999/month.
Ready to Master GIS & Remote Sensing in Bhubaneswar?
Join professionals and students across Odisha who have built geospatial careers with Space Borne — Odisha’s own ISO-certified GIS training institute. Classroom in Bhubaneswar. Live online across India.
13. Frequently Asked Questions — GIS Course in Bhubaneswar
What is the best GIS course in Bhubaneswar for water resources professionals?
Space Borne, headquartered in Bhubaneswar, is Odisha’s only ISO 9001:2015 and MSME certified geospatial training institute. Courses cover QGIS, ArcGIS Pro, Google Earth Engine, Remote Sensing, and Python for GIS — all with hands-on assignments using real Odisha datasets including Chilika, Ansupa, and the Mahanadi basin. Contact +91-8895209346 or visit www.spaceborne.in.
How is GIS used in Chilika Lake monitoring?
GIS and remote sensing monitor Chilika’s water spread area, macrophyte encroachment, prawn gheri enclosures, salinity gradient proxy, and cyclone inundation using Sentinel-2, Landsat, and SAR data. Multi-decade change detection using Landsat archives in Google Earth Engine has been central to the Chilika Development Authority’s ecological restoration planning since 2000.
How is Ansupa Lake being monitored with satellite data?
Ansupa Lake’s shrinkage — approximately 39% area loss since 1976 — has been documented through multi-temporal Landsat (1976–2015) and Sentinel-2 (2017–present) NDWI analysis. GIS is also used to map encroachment patterns, model catchment hydrology, and plan restoration interventions identifying priority dredging and embankment zones.
Which satellite data is used for Mahanadi flood mapping?
Sentinel-1 SAR (10m, cloud-penetrating) is the primary tool for real-time Mahanadi flood mapping during monsoon events. Sentinel-2 optical data is used for pre/post flood NDWI comparison. SRTM and Cartosat 10m DEM are used for floodplain delineation and inundation depth modelling. Landsat archives in Google Earth Engine produce 50-year inundation frequency maps for the delta.
Can I attend GIS classes in person in Bhubaneswar at Space Borne?
Yes. Space Borne is based in Bhubaneswar and offers both in-person classroom training and live online courses. It is the only geospatial training institute in Odisha with ISO 9001:2015 and MSME certification. Call or WhatsApp +91-8895209346 or email info@spaceborne.in to check current batch timings.
What career opportunities exist for GIS professionals in Bhubaneswar?
Bhubaneswar offers strong GIS career opportunities at ORSAC, OSDMA, Odisha Water Resources Department, Odisha Forest Department, Bhubaneswar Development Authority, NRSC field offices, IIT Bhubaneswar, NIT Rourkela, and private environmental consultancies. Entry-level GIS salaries in Odisha range from ₹3.5–6 LPA, with senior positions reaching ₹12–20+ LPA.
Is Space Borne certified and can MSME employees claim subsidies?
Yes. Space Borne is ISO 9001:2015 certified and MSME registered. Government employees and MSME-sector employees may be eligible for training subsidies or reimbursement for courses at Space Borne under various central and state skill development schemes. Contact info@spaceborne.in for details.
Get in Touch — Space Borne, Bhubaneswar
Odisha’s ISO 9001:2015 & MSME Certified Geospatial Training Institute
